River Alkalinity Enhancement
Loading...
This Protocol provides the requirements and procedures for the calculation of net carbon dioxide equivalent (CO2e)removal from the atmosphere via River Alkalinity Enhancement (RAE). This Protocol is developed for application in River Alkalinity Enhancement processes in which a cradle-to-graveGHG Statement can be accurately applied and in which the CO2 captured is durably stored for over 1000 years.
Rivers serve as the primary conduits of Earth’s terrestrial carbon cycle - connecting soils, the terrestrial biosphere and the atmosphere to the global ocean. Soils and shallow subsurface environments are the primary location of rock weathering, a process that releases alkalinity from carbonate and silicate minerals. Soil porewater, groundwater and their freshly weathered alkalinity are drained into rivers, where turbulent mixing allows for equilibration with the atmosphere and storage of CO2 in the form of dissolved inorganic carbon (DIC, predominately as bicarbonate and carbonate). Rivers then deliver some of this DIC to the global ocean, where it is durably stored for more than 10,000 years. Rivers are currently estimated to transport 0.3 - 0.5 GtC per year in the form of DIC to the global ocean, which currently stores approximately 40,000 GtC as DIC 1, ,2, 3, 4, 5. The addition of alkalinity to river systems for carbon dioxide removal takes advantage of these pre-existing natural processes that already transport and store significant amounts of carbon (Figure 1).
[Image: **Figure 1** River alkalinity enhancement]
Figure 1 River alkalinity enhancement.
[Image: Figure 1 River alkalinity enhancement]
In rivers with favorable conditions, newly added alkaline feedstock will dissolve following the weathering reaction, leading to a net increase of carbon storage in the form of dissolved bicarbonate ions. For example, the dissolution of calcium carbonate (CaCO3) as an alkaline feedstock follows the chemical reaction:
[math: CaCO_{3(s)} + CO_{2(aq)} + H_2O_{(l)} \rightarrow Ca^{2+}_{(aq)} + 2HCO_{3(aq)}^{-}]
Equation 1
Many rivers have chemical and physical characteristics that make them favorable for carbon removal via alkalinity enhancement. Compared to the ocean, rivers tend to have lower pH and are either undersaturated or kinetically inhibited with respect to carbonate mineral precipitation , thus favoring the dissolution of many potential alkaline feedstocks. Additionally, rivers are dynamic systems in which turbulent mixing allows newly-added alkalinity to equilibrate on relatively short timescales. The carbon stored as a result of RAE may come from direct drawdown from the atmosphere, or from dissolved CO2 sources (e.g., from microbial respiration, photo-oxidation of dissolved organic carbon, delivery of CO2-rich groundwater etc.) which would otherwise outgas to the atmosphere. The relative amount of each one of these carbon sources is determined by river characteristics such as discharge, local hydrology, incidence solar radiation, and other biogeochemical properties.
Although RAE for the purposes of carbon dioxide removal is relatively new, RAE has been conducted for decades as a remediation for pollution-related acid rain and river acidification. The introduction of alkaline feedstock, typically in the form of limestone, has been demonstrated as an effective tool for managing pollution-related river acidification and preserving habitat for some pH-sensitive species6, 7. These observations suggest that RAE at some locations may have additional ecological co-benefits.
This Protocol is developed to adhere to the requirements of ISO 14064-2: 2019 -- Greenhouse Gases -- Part 2: Specification with guidance at the project level for quantification, monitoring, and reporting of greenhouse gas emission reductions or removal enhancements. The Protocol ensures:
Note that throughout this Protocol, use of the word "must" indicates a requirement, whereas "should" indicates a recommendation.
Specific standards and protocols which are utilized as the foundation of this Protocol and for which this Protocol is intended to be fully compliant with are the following:
Additional reference standards that inform the requirements and overall practices incorporated in this Protocol include:
This Protocol was developed based on the current state of the art and current publicly available science regarding River Alkalinity Enhancement. As River Alkalinity Enhancement is a novel Carbon Dioxide Removal (CDR) approach, with limited published literature, the Protocol incorporates requirements that may be highly stringent to minimize risk and for the purposes of environmental and social safeguarding.
This Protocol will be altered in future versions as the science underlying this pathway evolves, and the overall body of knowledge and data across all processes is increased, for example regarding feedstock supply, weathering in river systems, ecological impacts and durable storage. Future updates will also increase the scope of eligible projects for this protocol.
This Protocol will be reviewed at a minimum every 2 years and/or when there is an update to scientific published literature which would affect net CO2e removal quantification or the monitoring and modeling guidelines outlined in this Protocol.
The aim of this Protocol is to ensure that projects seeking carbon removal Credits for River Alkalinity Enhancement are safe and have a demonstrable net-negative climate impact. To be eligible for crediting under this Protocol, projects and associated operations must meet all of the following project conditions.
To ensure safety of human and environmental health, eligible projects must:
To ensure net-negative climate impacts, eligible projects must:
The following applicability requirements are to limit the scope of eligible projects that V1 of this protocol is developed for. However, these may be expanded in future iterations of the protocol.
This Protocol only quantifies CDR which results in pre-equilibrated alkalinity being transported to oceans as DIC via the river drainage network. Additional uptake of CO2 that occurs in the open ocean is not eligible for crediting under this Protocol.
The following topics are covered briefly in this Protocol due to their inclusion in the Isometric Standard, which governs all Isometric protocols. See in-text references to the Isometric Standard for further guidance.
For each specific project to be evaluated under this Protocol, Project Proponents must document project characteristics in a Project Design Document (PDD) as outlined in Section 3.2 of the Isometric Standard. The PDD will form the basis for project validation and verification. Evaluation in accordance with this Protocol must include consideration of processes unique to River Alkalinity Enhancement projects, such as:
Projects must be validated and net CO2e removals verified by an independent third party, consistent with the requirements described in this Protocol as well as in Section 4 of the Isometric Standard.
The Validation and Verification Body (VVBs) must consider the following requisite components:
The threshold for Materiality, considering the totality of all omissions, errors and mis-statements, is 5%, in accordance with SectionMateriality 4.3Threshold ofin the Isometric Standard.
Verifiers should also verify the documentation of uncertainty of the GHG statement as required by Uncertainty in Removals and Reductions Section 2.5.7 of the Isometric Standard.
Qualitative Materiality issues may also be identified and documented, such as:
Project validation and verification must incorporate site visits to project facilities in accordance with the requirements of ISO 14064-3, 6.1.4.2, including, at a minimum, site visits during validation and initial verification. Validators should, whenever possible, observe project operations to ensure full documentation of process inputs and outputs through visual observation (see Validation and Verification Requirements Section 4 ofin the Isometric Standard).
A site visit must occur at least once per project validation.
Verifiers and validators must comply with the requirements defined in Validation and Verification Requirements Section 4 ofin the Isometric Standard. In addition, VVB teams shall maintain and demonstrate expertise associated with the specific technologies of interest, including fluvial modeling and measurement, analysis and data processing.
All VVBs are approved by Isometric independently and impartially based on alignment with Conflict of Interest policies, rotation of VVB policies, oversight on quality and the following requirements:
CDR via River Alkalinity Enhancement can often be a result of a multi-step process (such as quarrying, alkaline feedstock processing, transportation, on-site operations and monitoring), with activities in each step managed and operated by a different operator, company or owner. When there are multiple parties involved in the process, and to avoid double counting of net CO₂e removal, a single Project Proponent must be specified contractually as the sole owner of Credits. Contracts must comply with all requirements defined in Ownership Section 3.1 of the Isometric Standard.
The Project Proponent must be able to demonstrate additionality through compliance with Additionality Section 2.5.3 ofin the Isometric Standard. The counterfactual scenarios and baselines utilized to assess additionality must be project-specific, and are described in Section 8 of this Protocol.
Additionality determinations must be reviewed and completed every two years, at a minimum, or whenever project operating conditions change significantly, such as the following:
Any review and change in the determination of additionality will not affect the availability of Carbon Finance and Credits for the current or past Crediting Periods, but, if the review indicates the project has become non-additional, this will make The Project ineligible for future Credits.
The uncertainty in the overall estimate of net CO2e removal as a result of The Project must be accounted for. The total net CO2e removal for a specific Reporting Period must be conservatively determined, and projects must conduct an uncertainty analysis for the net CO₂e removal calculation in compliance with requirements outlined in Section 2.5.7 of the Isometric Standard.
Projects must report a list of all key variables used in the net CO2e removal calculation and their uncertainties, as well as a description of the uncertainty analysis approach, including:
The uncertainty information should at least include the minimum and maximum values of each variable that goes into the net CO2e removal calculation (see Section 8 for more details). More detailed uncertainty information should be provided if available, as outlined in Section 2.5.7 of the Isometric Standard.
In addition, a sensitivity analysis that demonstrates the impact of each input parameter’s uncertainty on the final CO2e removal uncertainty must be provided. Details of the sensitivity analysis method must be provided such that a third party can reproduce the results. Input variables may be omitted from an uncertainty analysis if they contribute to a < 1% change in the net CO2e removal. For all other parameters, information about uncertainty must be specified.
In accordance with the Isometric Standard, all evidence and data related to the underlying quantification of net CO2e removal and environmental monitoring will be available to the public through Isometric’s Science Platform. That includes:
The Project Proponent can request certain information to be restricted (only available to authorized buyers, the Registry and VVB) where it is subject to confidentiality. However, that does not apply to any numerical data produced or used as part of the quantification of net CO2e removal.
In addition, in compliance with FAIR Principles, the Project Proponent should publicly disseminate deployment data that is relevant to scientific research (e.g. freshwater and ocean monitoring measurements, river and ocean model results), such as through open data repositories.
Following the Isometric Standard, Credits issued under this Protocol are contingent on the implementation, transparent reporting and independent verification of comprehensive safeguards. These safeguards encompass a wide range of considerations, including environmental protection, social equity, community engagement and respect for cultural values. The process mandates that safeguard plans be incorporated into all major project phases, with detailed reports made accessible to stakeholders. Adherence to and verification of environmental and social safeguards is a condition for all Crediting Projects.
Projects must adhere to the following governance and legal requirements:
Official permitting:
Compliance:
Environmental and social risk assessment in adherence with Environmental and Social Impacts Section 3.7 of the Isometric Standard must be completed to identify potential risks, followed by the development of tailored mitigation plans. These plans must encompass specific actions to avoid, minimize or rectify identified impacts. Effective implementation of these measures must also be accompanied by a robust monitoring plan to detect negative impacts and stop projects when necessary (see Section 11).
Environmental and social risk identification, assessment, avoidance and mitigation planning will be unique to each Project’s technological, environmental and social contexts. The severity of these risks vary based on site specificities and the intensity and duration of alkalinity enhancement.
The Project Proponent must conduct an environmental impact assessment which adheres to Section 3.7.1 of the Isometric Standard.
When assessing aquatic environmental risks, it is important to holistically consider the risk compared to the baseline scenario. While the application of RAE for carbon dioxide removal is relatively new, river liming has been employed since the 1970s as a remediation tool to mitigate the influence of pollution-derived acid deposition on rivers. Given this relatively long history, the potential benefits and challenges associated with river liming are generally well understood6.
The application of alkaline feedstock to rivers can restore natural ecosystems and protect habitat and animal populations that are impacted by pollution-related pH changes. It can also lead to algal blooms and the introduction of harmful metals, either from feedstock dissolution or through the destabilization of sediment-hosted metals. Establishing a stable chemistry in the river by minimizing project-induced fluctuations in water quality is also important for maintaining overall river health. All of these factors need to be carefully considered when selecting a project location, feedstock, dosing rate, and other project specifications. Planning alkalinity dosing schemes that sufficiently protect the riverine and downstream environment during project ramp-up and steady state operation is a pre-deployment requirement (see Section 10 for more details).
Ongoing monitoring for ecosystem safety (Section 11.4) is required to assess impacts due to subtle yet chronic changes to the environment. This includes reassessing if deployments are successful in their holistic goals of CDR and ecosystem restoration. The ecosystem monitoring needs may differ depending on the specific ecology of the site (such as microbial community structure, organic matter respiration, metals and nutrient budgets, etc.). These site-specific risks require input from subject matter and local expertise to devise responsible plans to address and mitigate unintended consequences. The monitoring plan for ecosystem safety must include sensitive zones along the river, which may include the weathering zone, estuary and ecologically important regions such as nurseries.
Particular environmental risks associated with River Alkalinity Enhancement which must be assessed, avoided and/or mitigated are:
Feedstock sourcing:
Co-products and waste:
Pollution prevention:
Ecological impacts:
The Project Proponent must conduct a social impact assessment which adheres to Section 3.7.2 of the Isometric Standard on Social Impacts.
In particular, River Alkalinity Enhancement projects must:
Per Sectionthe 3.5relevant section of the Isometric Standard, Project Proponents must demonstrate active stakeholder engagement throughout project planning and operation, ensuring that all risk mitigation strategies contribute to sustainable project outcomes. Local stakeholders situated in the vicinity of the project site may contribute an in-depth understanding of the local system and provide invaluable insights and recommendations on the potential risks, necessary safeguards and specific monitoring needs. Relevant local stakeholders may include municipal utilities operators, local members of academia, Indigenous groups, environmental groups, and citizen associations. The Stakeholder Input Process must adhere to requirements outlined in Stakeholder Input Process Section 3.5 of the Isometric Standard, and evidence of these meetings must be submitted in the PDD.
Project Proponents must include in the PDD a plan for information sharing, emergency response and conditions for stopping or pausing alkaline feedstock dosing. Adaptive management plans must be in place in instances where:
The adaptive management plan must be designed to address and respond effectively to the needs of ecosystem and public health and safety. For instance, to mitigate potential shock to ecosystems, a reduction in alkaline feedstock dosing may be considered a more suitable approach than the complete cessation of dosing.
The Reporting Period represents an interval of time over which removals are calculated and reported for verification. The total net CO₂e removal is calculated using a series of measurements for a specified Reporting Period, and is written hereafter as [math: CO_2e_{Removal,\ RP}].
GHG emission calculations must include all emissions related to the project activities that occur within the Reporting Period. This includes:
The scope of this Protocol includes GHG sources, sinks and reservoirs (SSRs) associated with a River Alkalinity Enhancement (RAE) Project.
A cradle-to-grave GHG Statement must be prepared encompassing the GHG emissions relating to the activities outlined within the system boundary.
GHG The system boundary must include all SSRs controlled byemissions and relatedremovals toassociated with The Project may be direct emissions from a process, includingor butindirect notemissions limitedfrom to the SSRs in Figure 2 and Table 1.
As noted in Section 7.3, the baseline scenario assumes river conditions in the absencecombustion of anyfuels, Riverelectricity Alkalinitygeneration, Enhancementor projectother sources.
[Image: **Figure 2** System boundaries for river alkalinity enhancement]
Figure 2 System boundaries for a River Alkalinity Enhancement (RAE) project.
The system boundaryEmissions must include all GHG SSRs within the system boundary, from activitiesthe construction or manufacturing of each physical site and associated equipment, closure and disposal of each site and associated equipment, and operation of each process, including embodied emissions of equipment and consumables used in the project. The Project Proponent is responsible for identifying all sources of emissions directly or indirectly related to the batch of Credits delivered within the Reporting Period that are associated with the establishment of The Project, operations and end-of-lifeproject activities that occur after the Reporting Period.
Any emissions from sub-processes or process changes that would not have taken place without the involvement of the CDR process, such as subsequent transportation,Project must be fully considered in the system boundary. ThisAny allowsactivity forthat accurateultimately considerationleads to the issuance of additional,Credits incrementalshould emissionsbe inducedincluded byin the CDRsystem processboundary.
The system boundary must include all relevant GHG SSRs controlled and related to The Project, including but not limited to the SSRs set out in Figure 2 and Table 1. If any GHG SSRs within Table 1 are deemed not appropriate to include in the system boundary, they may be excluded ifprovided that robust justification and appropriate evidence is provided in the PDD.
Figure 2. System boundaries for a River Alkalinity Enhancement (RAE) project.
[Image: Figure 2 System boundaries for river alkalinity enhancement]
Table 1. Scope of activities and GHG SSRs to be included by the removal project
Activity | GHG source, sink or reservoir | GHG | Scope | Timescale |
|---|---|---|---|---|
Project Establishment | Initial surveys and feasibility studies | All GHGs | Any embodied, energy and transport emissions associated with surveys or feasibility studies required for establishment of the project site. | Before dosing starts - must be accounted for in the first Reporting Period or amortized in line with allocation rules ( |
Equipment and materials | All GHGs | Embodied emissions associated with equipment and materials manufacture related to project establishment (lifecycle modules A1-39). | ||
Equipment and materials transport to site | All GHGs | Transport emissions associated with transporting materials and equipment to the project site(s) (lifecycle module A49). | ||
Construction and installation activities | All GHGs | Emissions associated with construction and installation of the project site(s) (lifecycle module A59) for RAE CDR activities and any additional infrastructure requirements as a result of RAE activities. | ||
Staff travel | All GHGs | Flight, car, train or other travel required for the project establishment, including contractors and suppliers required on site. | ||
Misc. | All GHGs | Any SSRs not captured by categories above. | ||
Operations | Energy use | All GHGs | Electricity and fuel consumption associated operational processes, including operation of dosing equipment, marginal pumping, pre-treatment, and discharge to the riverine environment. | Over each Reporting Period - must be accounted for in the relevant Reporting Period (See Section 8.5.2) |
Feedstock manufacturing | All GHGs | Feedstock raw material extraction and manufacturing including rock quarrying, crushing, grinding and drying. | ||
Feedstock characterization | All GHGs | Embodied, energy use and transport emissions associated with sampling the feedstock to measure the physical and geochemical characteristics. | ||
Feedstock | All GHGs | Feedstock | ||
Dosing | All GHGs | Emissions associated with
| ||
Transport of dosing equipment | All GHGs | Transportation emissions for transport of dosing equipment around the site, if applicable. | ||
CO₂ stored | CO₂ | The gross amount of CO₂ removed and durably stored from the River Alkalinity Enhancement process as ocean dissolved inorganic carbon (DIC). | ||
Sampling required for MRV | All GHGs | Monitoring, including consumables used for measurement and transportation or shipping of samples for laboratory analysis and sample processing. | ||
Staff travel | All GHGs | Flight, car, train, boat or other travel required for the project operations, including contractors and suppliers required on site. | ||
Surveys | All GHGs | Embodied, energy and transport emissions associated with undertaking required surveys e.g. environmental impact surveys. | ||
Misc. | All GHGs | Any SSRs not captured by categories above. For example, accidental or unintended release of treated waters may result in secondary precipitation and ocean outgassing, or unneutralized streams may result in ocean outgassing. If these events occur, their impacts must be quantified. | ||
End-of-Life | End-of-life of project facilities and equipment | All GHGs | To include anticipated end-of-life emissions for project facilities and equipment, for example decommissioning of the dosing equipment (lifecycle modules C1-49). | After Reporting Period - must be accounted for in the first Reporting Period or amortized in line with allocation rules (See Section 8.5.3) |
Ongoing surveys | All GHGs | Embodied, energy and transport emissions associated with undertaking long-term required surveys e.g. ecological surveys. | ||
Misc. | All GHGs | Any emissions source, sink or reservoir not captured by categories above. |
The Project Proponent must consider all GHGs associated with SSRs, in alignment with the United States Environmental Protection Agency’s definition of GHGs, which includes: carbon dioxide (CO₂), methane (CH4), nitrous oxide (N₂O) and fluorinated gasses such as hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulfur hexafluoride (SF6) and nitrogen trifluoride (NF3). For CO₂ capture and CO₂ leakage, only CO₂ is expected to be included as part of the quantification. For all other activities, all GHGs must be considered. For example, CO₂, CH4 and N₂O are all associated with diesel consumption.
All GHGs must be quantified and converted to CO₂e. GHGs must be converted to CO₂e in the GHG Statement using the 100-yr Global Warming Potential (GWP) for the GHG of interest, based on the most recent volume of the IPCC Assessment Report (currently the Sixth Assessment Report) 10.
Miscellaneous GHG emissions are those that cannot be categorized by the GHG SSR categories provided in Table 1. The Project Proponent is responsible for identifying all sources of emissions directly or indirectly related to project activities and must report any outside of the SSR categories identified as miscellaneous emissions.
Emissions associated with aThe projectProject's impact on activities that fall outside of the system boundary of aThe projectProject must also be considered. This is covered under Leakage in Section 8.5.4.
In line with the GHG Accounting Module v1.1, the Project must:
Ancillary Activities
Ancillary activities, such as supplementary research and development activities and corporate administrative activities, that are associated with a project but are not directly or indirectly related to the issuance of Credits can be excluded from the system boundary.
Secondary Impacts on GHG Emissions
River Alkalinity Enhancement may have additional impacts on GHG emissions beyond the scope of this Protocol, for example:
These two potential additional impacts are not included within the scope of this Protocol as they are uncertain and likely to be small with the environmental safeguards and applicability criteria under this Protocol. Crediting the avoidance of GHGs beyond natural outgassing is outside the scope of this Protocol, and thus is not considered.
Considerations for Waste Input Emissions
Embodied emissions associated with system inputs considered as waste products can be excluded from the accounting of the GHG Statement system boundary provided the appropriate criteria are met. For energy inputs, for example the use of waste heat, refer to the Energy Accounting Module v1.2 For other waste inputs, the following criteria shall be considered.
If EC1 in Table 2 is satisfied then this is sufficient to exclude embodied emissions from the system boundary. Market leakage emissions associated with waste inputs may also be excluded from the system boundary as compliance with EC1 would result in no change to the waste producer behavior (no market leakage) and indicates there are no alternative users of the waste product (no replacement emissions).
Table 2. Waste input emissions exclusion criteria, EC1
If EC2 and EC3 in Table 3 are both satisfied then this is sufficient to exclude embodied emissions from the system boundary. Market leakage emissions associated with waste inputs may also be excluded from the system boundary as compliance with EC2 and EC3 would result in no significant change to the waste producer behavior (no market leakage) and there are no alternative use cases for the waste product (no replacement emissions).
Table 3. Waste input emissions exclusion criteria, EC2 and EC3
The baseline scenario for a River Alkalinity Enhancement project assumes the activities associated with the Project do not take place. The baseline must therefore be taken as the dynamic, real-time, river conditions in the absence of any River Alkalinity Enhancement project.
Quantification of the counterfactual scenario, CO2eCounterfactual, assuming baseline conditions is determined by modeling based on pre-deployment monitoring, and is subject to stringent validation and calibration requirements. Details on how to calculate CO2eCounterfactual, RP for different scenarios is described in Section 8.34.
Drastic changes in baseline conditions (such as changes in upstream pH conditions) will trigger an additionality review to safeguard against artificially increasing counterfactual CO2 emissions.
In some instances, it may be necessary to consider weathering of alkaline feedstock that would have occurred without the River Alkalinity Enhancement project. For example, if the feedstock used is a waste product that was not mined or quarried specifically for project activities and was stored in open-air conditions, some degree of surficial weathering may be expected over timescales relevant to a project lifetime. Project Proponents using these feedstocks must account for the counterfactual weathering of the feedstock. See Section 8.34 for further guidance.
Rivers represent a significant source of CO2 to the atmosphere. One global estimate determined that CO2 evasion from rivers is a flux of close to 3 gigatonnes of CO2 annually1110. This CO2 comes from a variety of sources, including groundwater where CO2 concentrations are elevated due to soil respiration, in situ respiration, and photoxidation of dissolved organic carbon. RAE acts to decrease the natural outgassing of CO2 in rivers by increasing the capacity of rivers (and ultimately the ocean) to store carbon as dissolved inorganic carbon. Newly added alkalinity in rivers reacts with CO2 (in the form of carbonic acid) to form carbonate and bicarbonate ions. This creates a deficit of CO2 that is restored from continued injection of riverine CO2 sources mentioned above and injection of atmospheric CO2 from turbulent mixing.
There is extensive research into both riverine CO2 sources and river gas exchange rates suggesting that in most rivers, air-water gas exchange will happen on relatively short timescales 10,11,12,13. However, the exact rate at which additional CO2 is stored is dependent on a wide variety of project and environmental factors, including dosing rate, river flow characteristics, wind speed, surface roughness, temperature, river biogeochemistry and several other factors. Under this Protocol, a RAE activity is considered to generate a removal when DIC has been exported to the ocean and stored in excess of the river’s baseline DIC export. To meet this criteria, Project Proponent must quantify the additional (above baseline) riverine CO2 storage using direct measurements and, where appropriate, locally calibrated models. This combination ensures that RAE Credits generated using this Protocol reflect ex post carbon storage. This approach will be reviewed and updated as dictated by learnings from scientific research and early stage commercial deployments.
The Reporting Period represents an interval of time over which removals are calculated and reported for verification. The total net CO₂e removal is calculated using a series of measurements for a specified Reporting Period, and is written hereafter as [math: CO_2e_{Removal,\ RP}].
GHG emission calculations must include all emissions related to the project activities that occur within the Reporting Period. This includes: (a) any emissions associated with project establishment allocated to the Reporting Period (See Section 8.5.1) (b) any emissions that occur within the Reporting Period (See Section 8.5.2), (c) any anticipated emissions that would occur after the Reporting Period that have been allocated to the Reporting Period (See Section 8.5.3) and (d) leakage emissions that occur outside of the system boundary that are associated with the Reporting Period (See Section 8.5.4).
Total net CO2e removal is calculated for each Reporting Period, and is written hereafter as CO₂e Removal,RP. The final net CO2e removal quantification must be conservatively determined, giving high confidence that at a minimum, the estimated amount of CO2e was removed.
In line with the Isometric Standard, this Protocol requires that Removal Credits are issued ex-post. Credits may be issued once CO₂ has been durably stored in the identified storage reservoir.
Net CO₂e removal from River Alkalinity Enhancement for each Reporting Period, RP, must be calculated conservatively so as to give high confidence that, at minimum, the estimated net CO₂e was removed.
The net CO₂e removal equation is:
[math: CO_2e_{Removal,\ RP} = CO_2e_{Stored,\ RP} - CO_2e_{Counterfactual,\ RP} - CO_2e_{Emissions,\ RP}]
Equation 2
Where
Quantification of [math: CO_2e_{Stored,\ RP}] and [math: CO_2e_{Counterfactual,\ RP}] can be a multi-step process, corresponding to the different spatio-temporal regimes. These steps are summarized below and depicted in Figure 3.
[Image: **Figure 3** Quantification flow chart for CO2eStored and CO2eCounterfactual]
Figure 3. Quantification overview for CO2eStored and CO2eCounterfactual.
[Image: Figure 3 Quantification flow chart for CO2eStored and CO2eCounterfactual]
Quantification of uncertainty is required for each term in Equation 2 in line with Section 2.5.7 of the Isometric Standard. See Section 5.5.1 for more details.
The quantification framework outlined in the following sections describes a single dosing point for simplicity. However, the framework is also applicable to projects with multiple dosing points along a river. Furthermore, projects dosing the same feedstock into different rivers within the same watershed (i.e. all drain to the same river mouth) can be grouped together for verification as a single project with multiple upstream dosing locations. The quantification approach and location(s) of dosing points must be clearly described in the PDD. Any modifications to the quantification approach for multiple dosing locations must be agreed upon in consultation with Isometric and the VVB.
The removal of CO2 via RAE occurs at a range of spatial and temporal domains along the river (Figure 4). The initial mixing length is the distance downstream of dosing that it takes for particulate and solute concentrations to disperse into a statistically stable cross-sectional profile. CDR will primarily occur within the weathering zone, the region of the river where feedstock dissolves following the weathering reaction. After the weathering zone, as water travels towards the river mouth, there are processes which may result in additional ingassing or outgassing of CO2. Upon discharge to the ocean, re-speciation of DIC may shift the carbonate equilibrium, altering the final efficiency of the alkalinity increase in the river.
[Image: **Figure 4** Spatial domains and quantification steps for river alkalinity enhancement]
Figure 4: Depiction of spatial domains and quantification steps for River Alkalinity Enhancement. Spatial domains include upstream of dosing, weathering zone, river transport zone, and estuary and ocean. These terms are used throughout to indicate where measurements are required or recommended for quantifying CDR.
[Image: Figure 4 Spatial domains and quantification steps for river alkalinity enhancement]
The total CO₂ removed from the atmosphere and permanently stored is determined by the cumulative increase in DIC storage in the ocean as a result of RAE. The increase in DIC storage in oceans can be determined by estimating the export of DIC from the river and correcting for ocean re-equilibration losses and carbon added in carbonate feedstocks.
[math: CO_2e_{Stored, RP} = (44/12) \Delta DIC_{ocean,RP} = (44/12) (DIC_{export,RP}*\eta_{OceanLosses,RP}-C_{feedstock,RP})]
Equation 3
Where
The total export of DIC to the ocean from the river mouth, can be calculated as
[math: DIC_{export,RP} = M_{C}\sum_{i=1}^{T} ([DIC]_{mouth,i}*\rho_{mouth,i}*Q_{mouth,i}*\Delta t_i)]
Equation 4
Where
There may be instances in which direct measurement at the river mouth is not feasible, or does not resolve a sufficient signal, so measurements are taken instead at a location that is downstream of the dosing point. In this case, any additional losses during river transport between the downstream measurement location and the river mouth must be accounted for, and the total DIC export to the ocean can be quantified as
[math: DIC_{export,RP} = M_C \sum_{i=1}^{T} ([DIC]_{downstream,i}*\rho_{downstream,i}*Q_{downstream,i}*\Delta t_i*\eta_{riverlosses})]
Equation 5
Where
The downstream measurement point must be beyond the initial mixing length and can be as far downstream as the river mouth. There are tradeoffs depending on where the measurement location is taken:
The choice of measurement locations will depend on the length of the river reach, as well as the availability of suitable measurement locations. Multiple measurement locations may be needed for long river reaches to appropriately represent spatial variability along the river.
The [math: [DIC]_{downstream,i}] measurement signal must be statistically significant and above the estimated downstream [DIC] from the baseline model (see Section 8.34). The Project Proponent must justify the statistical test used, and the significance level must be 0.05 with the null hypothesis being there is no change in [math: [DIC]_{downstream,i}] between the CDR and baseline scenarios.
See Section 11 for more details on measurement locations and required parameters.
This step is required unless measurements in Step 1 are taken directly at the river mouth.
As the newly added alkalinity is transported through rivers and eventually, to the oceans, losses may occur that result in either direct loss of alkalinized river water, direct loss of alkalinity from river water or decreased efficiency of that alkalinity to produce carbon dioxide removal in natural waters. As such, losses along river transport to the river mouth and upon entering the ocean must also be considered. Any losses that cannot be justified as negligible must be quantified as a reduction in the gross carbon removal.
River water which does not get discharged to the ocean, such as through water withdrawal, losing rivers, or flow diversions are also considered direct losses of alkalinized river water.
Alkalinity within river water and/or carbon dioxide removal efficiency may be reduced through processes including sorption onto surfaces or particles, biological uptake, or carbonate precipitation. Changes in ambient pH may result in re-equilibration of DIC or calcium carbonate precipitation. These losses may occur heterogeneously through river transport. Risks of losses may be more pronounced at areas with water inputs with different chemical properties, such as groundwater discharge, surface runoff, tributaries or confluences along the river network.
All projects which utilize river transport models must characterize all water additions and withdrawals throughout the river transit between the downstream measurement location in Step 1 and the river mouth.
The section that follows includes an overview of riverine transformations and quantification options for each.
Re-equilibration of DIC
Equilibrium speciation of DIC is primarily dependent on pH, and to a lesser extent temperature, salinity and pressure:
[math: CO_2 + H_2O \leftrightarrow H_2CO_3 \leftrightarrow H^+ + HCO_3^- \leftrightarrow 2H^+ + CO_3^{2-}]
Equation 6
The release of CO2 due to re-equilibration of DIC may occur due to mixing of fluids with different pH. This may occur upon initial dosing of alkalinity, at river confluences and when rivers discharge to the ocean. The recommended quantification approaches for estimating outgassing downstream is through a model that explicitly calculates the change in relevant geochemical properties throughout the river network and is informed by carbonate system measurements collected near the river mouth.
Carbonate precipitation
Secondary precipitation of calcium carbonate could cause CO₂ outgassing by the following reaction:
[math: Ca^{2+} + 2HCO_3^- \rightarrow CaCO_3 + CO_2 + H_2O]
Equation 7
Calcium carbonate precipitation may result in a reduction in carbon stored by 50% for non-carbonate feedstocks or 100% for carbonate feedstocks. In rivers, higher suspended particulates may increase mineral nucleation. Some research suggests there is a relationship between increased alkalinity loss with higher TSS1413. Thus, the risk of secondary precipitation is most pronounced in the vicinity of alkalinity dosing, where the carbonate chemistry and TSS perturbation are largest.
Limiting pH and the saturation state has been shown to be effective at avoiding this result, and laboratory research to characterize the critical thresholds that trigger precipitation under close-to-natural conditions are ongoing 14,15, 16, 17, 18, 19. Furthermore, precipitation dynamics occur on a timescale between minutes to hours1514, 1716, which suggests that dilution could be an effective risk mitigation strategy.2019
Natural alkalinity flux reduction
Increased alkalinity in rivers can potentially reduce the natural alkalinity flux from river or marine sediments 2120. This risk may be exacerbated by projects with settling particles that result in local alkalinity enrichment in marine or river sediments, and the potential impacts on the net removal calculation is uncertain at this time. More research in this area is needed and the Protocol will be updated with future advancements.
Additional (bio)geochemical sinks of alkalinity
Additional (bio)geochemical sinks of alkalinity may be operative in river systems. This may include pH-mediated precipitation of soluble metals, sorption of cations to surfaces or suspended solids or the biological uptake of cations. Some river systems may also have unique risks that are not otherwise addressed in this Protocol, and must be disclosed in the PDD. The Project Proponent is required to identify any additional site-specific sinks of alkalinity and take appropriate action to quantify or mitigate the risk of alkalinity loss due to these site-specific sinks.
It is important to note that some feedstocks may contain acid generating constituents like sulfide minerals, which when weathered can decrease a project’s net carbon removal. Project Proponents must incorporate any sources of acidity in the feedstock into their carbon accounting and loss framework. For fast-dissolving sources of acidity, any losses may already be incorporated into measurements of carbonate system variables. For slow-dissolving sources of acidity, it may be appropriate to discount removals in proportion to future acid generation. The methods used to account for acidity generated from the feedstock must be described in the PDD.
Options for quantifying riverine biogeochemical transformations
There are two options available for quantifying the transformations during river transport.
To account for potential losses along river transport, Project Proponents must estimate potential losses along the river network through measurement or models.
Processes that can lead to losses include:
The overall loss discount for a RAE project is the product of the loss factors associated with each loss process:
[math: \eta_{riverlosses, RP} = \prod_{i=1}^N \eta_i,]
Equation 8
Where:
The recommended approach for determining [math: \eta_{riverlosses, RP}] is to develop a conceptual model of river transport losses. Recent publications have outlined modeling approaches that combine baseline river geochemical data, equilibrium modeling of water chemistry and scenarios of terrestrially exported DIC, which may serve as useful references2221,2322.
Model requirements
The minimum requirements for river transport loss models are:
Project Proponents are required to submit a detailed description of their modeling approach, including the model used, the river/watershed data used in model construction and the source of that data in the PDD. Alternate approaches may be considered on a case by case basis with approval from Isometric and the VVB.
*Note on calcite saturation index in rivers
Calcite saturation index (SIc) is a useful parameter to determine the likelihood of carbonate precipitation. Calcite saturation index (SIC) is calculated as:
[math: SI_c = \log_{10} \frac{\alpha Ca^{2+} * \alpha CO_3^{2-}}{K_{sp(calcite)}}]
Equation 9
With
[math: K_{sp(calcite)} = \alpha_{sat} Ca^{2+} * \alpha_{sat} CO_3^{2-}]
Equation 10
Where:
A SIc > 0 is considered supersaturated, however, the kinetics of carbonate precipitation are exceeding slow and not typically observed below SIc = 1 2322.
The second option for quantifying riverine transformations is to use a process model that includes all the sources and sinks of alkalinity between the measurement point and the river mouth. This approach may be more desirable if the downstream measurement point is taken within the weathering zone, and the Project Proponent wishes to quantify further weathering and atmospheric re-equilibration during transport to the ocean using a model. Examples of commonly used catchment models that include explicit representation of inorganic carbon are Integrated Catchment Model (INCA)2423 and Hydrologic Simulation Program - Fortran (HSPF)2524, which could be applied to RAE projects.
Model Requirements
The minimum requirements for the process model are:
Model validation
The process model must meet the following model validation requirements:
Project Proponents are required to submit a detailed description of their modeling approach, including the model used, the river/watershed data used in model construction and the source of that data. Alternate approaches may be considered on a case by case basis with approval from Isometric and the VVB.
Discussion
As alkalinity is transported through the estuary to the ocean, changes in pH, temperature and/or salinity can shift the carbonate system and result in a re-equilibration of DIC. Estimates from peer-reviewed studies suggest that marine losses of terrestrially exported DIC could amount to 10-30% loss of exported carbon, depending on the temperature and pH change between the river and ocean, salinity, pCO₂, and ocean circulation 2,25,26,27,28,29. Typically, the ocean has a higher pH than rivers and the increased presence of CO32- in oceans can reduce the total storage of terrestrially exported DIC. In addition, changes in salinity and saturation state upon reaching the ocean can lead to calcium carbonate precipitation 3029.
Quantification
Outgassing upon entering the ocean must be quantified using regional data specific to the area where the river reaches the ocean. This loss can be estimated with one of the following approaches:
Alternative approaches may be considered by the Isometric and the VVB on a case by case basis, provided the approach is sufficiently described and justified in the PDD.
Option 1 assumes thermodynamic equilibrium with the atmosphere and provides an upper limit on the expected ocean losses. Option 2 considers the 3D ocean circulation and does not assume equilibrium with the atmosphere, which may lead to fewer losses in certain regions if the exported DIC is subducted out of atmospheric contact for long periods of time before it has a chance to outgas.
It is a known limitation that both Option 1 and 2 presented do not adequately represent the physical and biogeochemical interactions that occur through transit in the estuarine zone. As such, Option 1 and 2 are specifically catered to systems where mixing will lead to outgassing of CO2 as a result of re-equilibration of DIC at circumneutral pH to the ocean’s slightly basic pH (e.g. pH ~ 8.1).
It is possible that some scenarios may lead to additional CO2 uptake instead of outgassing where the river and ocean mix (e.g., a river with exceptionally high pH). This additional DIC uptake in the ocean is not eligible for crediting under this Protocol. Therefore, [math: \eta_{OceanLosses,RP}], the unitless efficiency term describing the fracton of exported DIC that is retained in the ocean, cannot exceed 1.
An Estuarine CO2 Uptake Module is under development and quantification of the air-water CO2 uptake under the distinct physical and biogeochemical processes occuring within estuaries and will be presented as a third Option in the future.
The Renforth and Henderson (2017) uptake efficiency equation for a local water body is:
[math: \frac{\Delta DIC_{T,ocean}}{\Delta Alk_{T,ocean}} = (S \cdot 10^{-3.009} + 10^{-1.519}) \text{ln}(pCO_2)-(S \cdot 10^{-2.100}) - (T \cdot pCO_2)(S \cdot 10^{-7.501} - 10^{-5.598}) - (T \cdot 10^{-2.337}) + 10^{-0.102}]
Equation 11
Where
A dimensionless uptake efficiency term, [math: \eta_{OceanLosses}] can then be calculated as follows:
[math: \eta_{OceanLosses} = \min(\frac{\Delta DIC_{T,ocean}}{\Delta Alk_{T,ocean}} \times \frac{Alk_{export}}{DIC_{export}}, 1)]
Equation 12
Where
Project Proponents should use the oceanographic conditions from publicly available locationally-specific time-series data, such as the NOAA climate indices list, OceanSODA-ETHZ, or equivalent, to the calculate the uptake efficiency (Equation 11). The efficiency can be used in Equation 12 to determine the magnitude of the loss term. Equilibrium conditions can be assumed.
Another approach to quantifying ocean losses is to use a 3D Earth Systems Model or ocean physical-biogeochemical model to explicitly simulate ocean transport and air-sea CO₂ fluxes. For example, Kanzaki et al., (2023) used an Earth system model to estimate the ocean outgassing of CO₂ from terrestrial enhanced weathering projects2928. Similar model-based approaches may be used, however the calculation of ocean losses must be regionally specific to the project-site. A globally averaged loss factor may not be used at this time since it may not be conservative, given the large variability that exists in different regions of the ocean.
Projects Proponents must submit a detailed description of their modeling approach in the PDD, including the following:
Furthermore, the model must be well-validated and skillful for its intended purpose. Proof of model validation can be achieved through either:
Type: Counterfactual
The naturally occurring export of DIC from the river to the ocean is calculated as:
[math: CO_2e_{Counterfactual,RP} = (44/12) \Delta DIC_{ocean,RP} = (44/12) DIC_{export,RP}*\eta_{OceanLosses,RP}]
Equation 13
Where
The quantification of [math: DIC_{export,RP}] must use the same approach as the CDR intervention scenario (Equation 3, Section 8.24).
A primary difference is that direct measurements downstream of the dosing location of the counterfactual scenario are not possible. Therefore, quantification of parameters at the downstream measurement location (ie. [math: [DIC]_{downstream}]) requires measurements upstream of the dosing location paired with a short-range river DIC model developed for the specific river reach.
The short-range river DIC model can be a statistical model that predicts [math: [DIC]_{downstream}] from other measurable parameters such as river measurements upstream of dosing and/or catchment properties. Inputs to the model must be real-time data of river carbonate chemistry parameters upstream of dosing location. For example, multiple linear regression models have been used to predict carbonate system parameters in rivers from catchment properties 3231. More complex deep learning models such as long short-term memory neural networks have also been successfully applied to predicting water quality variables in inland waters 3332. It is recommended to use the simplest possible statistical model that yields high-performance.
Model requirements
The short-range river model used to estimate baseline downstream parameters (ie. [math: [DIC]_{downstream}]) must:
Requirements for model architecture and minimum thresholds for model skill will be updated as the state of science evolves.
Model Validation
The short-range river DIC model must be re-validated at minimum every 3 years. It is recommended that the model is routinely revalidated by turning off dosing periodically to collect additional data of downstream baseline conditions and compare against baseline model predictions. Episodic re-validation is recommended after extreme events.
Appropriate Model Use
There must be a check in each verification that the distribution of training data encompasses the range of conditions observed during the Reporting Period (e.g. similar seasons, temperature, upstream pH, etc.). If project conditions are outside the training distribution (e.g. there was a record rainfall month with precipitation values beyond the training data), the model is ineligible for use, unless additional model validation can be demonstrated. The model may need to be retrained or fine-tuned periodically with updated baseline measurements.
Upstream monitoring is used to identify and changing conditions (such as changes in tributary discharges or land use changes) which may necessitate revalidation of the model.
The output of the short-range river DIC model is [math: [DIC]_{downstream}], which can then be used to calculate [math: DIC_{export,RP}] following the same approaches outlined in Section 8.23.
In addition to the counterfactual DIC export from the river to ocean, in some instances it may be appropriate to consider weathering of feedstock that would have occurred without project intervention. For example, if the feedstock used constitutes a waste product that was not mined or quarried specifically for project activities and was stored in open-air conditions, some degree of surficial weathering could be expected over timescales relevant to a project lifetime. Project Proponents using these feedstocks must account for counterfactual weathering if the feedstock does not undergo additional processing prior to deployment. This Protocol defines the durability of a RAE Credit as 1,000+ years; thus, this is the default assumption for the calculation timescale of counterfactual weathering if no additional information regarding the storage conditions and duration of the feedstock at the mine/quarry site can be provided. If additional information on the conditions and duration of feedstock storage at the feedstock supplier are available, Project Proponents may justify calculating the counterfactual across a time period relevant to the specific mine or quarry from which the feedstock is sourced in the PDD. For example, projects operating in conjunction with active mines may find it appropriate to use the time of mine closure and provide details of the closure plan in the PDD. Alternatively, if sufficient documentation exists suggesting that piles of waste materials generated by the feedstock will not be exposed to ambient environmental conditions for a period exceeding a set number of years, the counterfactual may be considered across that time span. It is important to note that studies have shown that the vast majority of weathering in tailings piles occurs in the surface layer that is exposed to the atmosphere, provided that there is no mechanical overturn. For this reason, counterfactual weathering needs to be accounted for in the top meter of the tailings pile.
Where relevant, counterfactual weathering must be calculated by a combination of direct measurements and modeling of the expected weathering rate of feedstock under storage conditions relevant to the source site for either 1,000 years or a time period justified in the PDD as described above. Models must be justified by empirical data from subsamples of the feedstock; guidelines for sampling procedures that adequately capture feedstock heterogeneity are described in the Rock and Mineral Feedstock Characterization Module v1.02. Models must take into account:
The measurements and model used to calculate counterfactual feedstock weathering must be provided to Isometric and the VVB. Where counterfactual weathering is considered, [math: CO_2e_{Counterfactual, \ RP}] is calculated as the sum of counterfactual DIC export to the ocean (Equation 13) and counterfactual weathering of feedstock.
Project Proponents must conduct the following validation checks each Reporting Period.
Maximum Removal Potential from Alkalinity Flux
Assuming full dissolution of the feedstock and no downstream losses, the increased alkalinity export from the river mouth will be the amount of alkalinity added to the river. As a theoretical maximum, the following condition must be true:
[math: Alk_{Export,\ CDR} - Alk_{Export,\ Counterfactual} \le Alk_{FeedstockAdded}]
Equation 14
If this condition is not met, an audit must be conducted in coordination with Isometric to determine the likely source of the discrepancy.
See the Rock and Mineral Feedstock Characterization Module v1.02 for details on the determination of feedstock alkalinity.
Type: Emissions
[math: CO_2e_{Emissions, RP}] is the total GHG emissions associated with a Reporting Period, [math: {RP}]. This can be calculated as:
[math: CO_2e_{Emissions, RP} = CO_2e_{Establishment, RP} + CO_2e_{Operations, RP} + CO_2e_{End-of-Life, RP} + CO_2e_{Leakage, RP}]
Equation 15
Where
The following sections set out specific quantification requirements for each variable.
GHG emissions associated with project establishment should include all historic emissions incurred as a result of project establishment, including but not limited to the SSRs set out in Table 1.
Project establishment emissions occur from the point of project inception up untilto the firstmoment Reporting Period. Establishment emissions may be accounted for in the following ways, with the allocation method selected and justified by the Project Proponent:
The anticipated lifetime of The Project should be based on reasonable justification and should be includedoutlined in the++Section Project Design Document (PDD) to be assessed as part of project validation.
Allocation of project establishment emissions to removals must be reviewed at each Crediting Period renewal and any adjustments made. If the Project Proponent is not able to comply with the allocation schedule described in the PDD, e.g. due to changes in delivered volume or anticipated project lifetime, the Project Proponent should notify Isometric as early as possible in order to adjust the allocation schedule for future removals. If that is not possible, the Reversal process will be triggered in accordance with the Isometric Standard, to account for any remaining emissions.
Embodied emissions associated with equipment that is built for CDR purposes but used across multiple CDR Projects owned by the Project Proponent may be shared proportionally across Projects. For example this may be based on total equipment capacity and Projected throughput of all combined Projects. Projections and actual equipment use must be reviewed at each Crediting Period for each Project and adjustments must be made where required. In cases where the Project Proponent ceases operations for all Projects with an outstanding emissions debt, the emissions must be taken out7 of the bufferGHG poolsAccounting proportionallyModule++.
Refer to Section 7 of the GHG Accounting Module for allguidance Projectson that used the equipmentamortization.
GHG emissions associated with [math: CO_2e_{Operations, RP}] should include all emissions associated with operational activities, including but not limited to the SSRs set out in Table 1. In particular for RAE projects, the end-of-life for dosing equipment must be described in the PDD. If the doser is disposed of, the CO2 emissions from this disposal must be included in the calculation of [math: CO_2e_{Operations, RP}].
[math: CO_2e_{Operations, RP}] emissions must be attributed to the Reporting Period in which they occur. Allocation may be permitted in certain instances, on a case by case basis in agreement with Isometric.
[math: CO_2e_{End-of-Life, RP}] includes all emissions associated with activities that are anticipated to occur after the ReportingCrediting Period, butuntil arethe directlyend orof indirectlythe Project Commitment Period. This includes activities related to the Reporting Period. For example, this could include ongoing sampling activitiesmonitoring for Monitoring, Reporting, and Verification (MRV) for the specific deployment (directly related), or end-of-life emissions for the project facilities and equipment (indirectly related to all deployments)Reversals.
GHG emissions associated with [math: CO_2e_{End-of-Life, RP}] may occur from the end of the Reporting Period onwards, and typically through to completion of project site deconstruction and any other end-of-life activities.
GHG emissions associated with activities that are directly related to each deployment must be quantifiedestimated asupfront part of that Reporting Period. GHG emissions associated with activities that are indirectly related to all deployments may beand allocated in the same waysway as set out infor calculation of [math: CO_2e_{Establishment, RP}].
Given the uncertain nature of [math: CO_2e_{End-of-Life, RP}] emissions, assumptions must be revisited at each CreditingReporting Period and any necessary adjustments made. Furthermore, if there are unexpected [math: CO_2e_{End-of-Life, RP}] emissions associated with a Reporting Period, or the Project as a whole, that occur after the Project has ended, then the Reversal process will be triggered to compensate for any emissions not accounted for.
[math: CO_2e_{Leakage, RP}] includes emissions associated with a project's impact on activities that fall outside of the system boundary of a Project. It includes increases in GHG emissions as a result of the Project displacing emissions or causing a knock on effect that increases emissions elsewhere. As an example, creating a market for feedstocks may generate new revenue in the source sector that alters producer behavior in ways that result in additional GHG emissions.
It is the Project Proponent's responsibility to identify potential sources of leakage emissions, however, for a River Alkalinity Enhancement project the following must be considered as a minimum:
[math: CO_2e_{Leakage, RP}] emissions must be attributed to the Reporting Period in which they occur. Allocation may be permitted in certain instances, on a case by case basis in agreement with Isometric.
GHG emissions accounting must be undertaken in alignment with the GHG Accounting Module v1.1, which ensures a consistently rigorous standard in how GHG emissions are quantified and reported between different CDR Projects and approaches. This includes:
Refer to the GHG Accounting Module for guidance on GHG accounting requirements.
The ++Energy Use Accounting This sectionModule v1.3specificthe requirementscalculation relatingapproach to quantificationbe offollowed energyfor useintensive asfacilities partand ofnon-intensive thefacilities GHGand assessmentacceptable emission factors.
Energy Emissionsemissions associatedare withthose energyrelated usage result from the consumption ofto electricity or fuel usage.
Examples of electricity usage may include, but are not limited to:
Examples of fuel consumption may include, but are not limited to:
TheRefer to the Energy Use Accounting Module for guidance on fuel and energy emissions calculations.
The GHG Accounting Module v1.21 provides requirements on how energy-relatedtransportation and embodied emissions must be calculated infor aThe CDR projectProject so that they can be subtracted in the net CO₂e removal calculation. It sets out the calculation approach to be followed for intensive facilities and non-intensive facilities and acceptable emissions factors.
In alignment with the Energy Use Accounting Module v1.2, the consequential impact of electricity usage on the system it is procured from must be included in calculations for intensive projects, as determined in the Energy Use Accounting Module.
Refer to Energy Use Accounting Module for the calculation requirements.
This section sets out specific requirements relating to quantification of transportation emissions as part of the GHG Statement.
Emissions associated with transportation include transportation of products and equipment as part of a Reporting Period’s activities. Examples may include, but are not limited to:
The Transportation Emissions Accounting Module v1.1 provides requirements on how transportation-related emissions must be calculated in a CDR project so that they can be subtracted in the net CO₂e removal calculation. It sets out the calculation approach to be followed and acceptable emissions factors.
Refer to Transportation Emissions Accounting Module for the calculation requirements.
This section sets out specific requirements relating to quantification of embodied emissions as part of the GHG Statement. Embodied emissions are those related to energy use or other emissions during the manufacturelife cycle impact of equipment and materialsconsumables. usedThey in a process.
Examples of project-specific materials and equipment that must be considered as part of the embodied emission calculationmay include, but are not limited to:
TheTransportation Embodiedemissions Emissionsare Accountingthose Modulerelated v1to transportation of products and equipment.0 setsThey outmay include, but are not limited to:
Refer to EmbodiedSection Emissions4.1 and Section 4.2 of the GHG Accounting Module for theguidance calculationon requirementsembodied and transportation emissions calculations.
RefereRefer to DIC Storage in Oceans Module for storage requirements.
The primary storage reservoir of the CO2 removed through River Alkalinity Enhancement is Dissolved Inorganic Carbon (DIC) in the ocean. The durability and reversal risks of this storage reservoir are discussed in the Dissolved Inorganic Carbon Storage in Oceans Module v1.0.
Future versions of this Protocol will include expanded storage options, such as storage of DIC in lakes.
As outlined in the Risk of Reversal Section 2.5.9 of the Isometric Standard, the Bufferbuffer Poolpool is a mechanism used to insure against Reversal risks that may be observable and attributable to a particular project through monitoring.
BasedIn onRiver presentAlkalinity understandingEnhancement, reversalscarbon inis thestored globalas oceandissolved Dissolvedinorganic Inorganic Carboncarbon (DIC) reservoir will not be directly observable with measurements and attributable to a particular project. Reversals of DIC in the ocean, a vast and well-mixed reservoir where storage durability is aexpected system-wide storage uncertainty that shouldto be addressedbetween through10,000 furtherand scientific100,000 researchyears. Projects applicable toAs this Protocolconstitutes arean generallyopen categorizedsystem aswith havingno adirectly Veryobservable Low Risk Level of Reversal according toreversals, the Isometric Standard Riskclassifies AssessmentProjects Questionnaire.operating Riskunder this Protocol as “No observable risk” for the purposes of reversal information is given in Appendix 3:the Risk of Reversal Questionnaireassessment, withand furthersuch informationProjects providedare withinnot required to complete a Risk of Reversal questionnaire. This results in a 0% buffer pool for Projects using this Protocol and Storage Module. This reversal risk will be reassessed at the relevantrenewal storageof modulethe Crediting Period, or when new scientific research and knowledge are produced.
For more details on Reversals, refer to Sections 2.5.9 andthe 5.6 of the Isometric Standard.
All pre-deployment requirements must be described in the PDD. The requirements are as follows:
A monitoring plan must be established prior to project activities and described in the PDD. The aims of the monitoring plan are to:
The monitoring plan must include details about monitoring duration, frequencies, location, SOPs, sample collection methods, analytical methods, thresholds (if applicable), data reporting and quality assurance/quality control. Analysis and reporting of monitoring data and measurement uncertainties should occur for every Reporting Period. Monitoring guidance and requirements will be updated in alignment with advances in sensor technology which enhance the capacity for measurement and monitoring.
Monitoring must span pre-deployment, dosing and post-dosing (if applicable). For pre-deployment environmental monitoring, Project Proponents must provide a baseline characterization of monitored water chemistry and ecological parameters at the site, which should be sufficiently long and well-resolved to characterize background and seasonal variability. The exact duration and frequency of monitoring will depend on the parameters being measured, as well as site and project specific factors. Listed below are considerations for determining and justifying the monitoring frequency and duration.
The duration of pre-deployment monitoring must consider, at minimum:
Likewise, post-dosing environmental monitoring must consider, at minimum:
The monitoring frequency should reflect what is necessary to provide sufficient information about the river location. Some factors which may influence the frequency and intensity of the monitoring plan include:
This Protocol requires and recommends monitoring occur at the locations illustrated in Figure 5. Project Proponents are responsible for determining appropriate monitoring locations, which will be site- and project-specific. It is recommended that Project Proponents use models to plan and optimize sampling design 3029.
[Image: **Figure 5** Monitoring locations for river alkalinity enhancement]
Figure 5 Monitoring locations for River Alkalinity Enhancement projects referred to throughout this protocol. Exact locations of inputs and outflows from the control volume may look different for projects. Note that monitoring locations for ecosystem safety at sensitive zones along the river to the ocean are not labeled as they are determined on a site-specific basis.
Measurements of natural river conditions just upstream of the dosing location are required to identify upstream changes to the river catchment, confirm the lengths of initial mixing and weathering zone, and as inputs for the baseline model (See Section 8.34).
Significant changes in upstream conditions may necessitate revalidation of models used for quantification.
The total quantity of alkalinity determined by dry feedstock weight must be measured prior to dosing. The total time-duration of dosing, time series of mass flow rate and time series of volumetric flow rate must be continuously monitored throughout the Reporting Period. The fraction of solid and dissolved alkalinity discharged from the doser must be measured, or estimated. Whenever possible, Project Proponents should validate their initial particle dissolution kinetics via direct sampling from the doser (e.g., collecting a grab sample from the discharge pipe, followed by immediate filtration and subsequent analysis of the filter and the filtrate for relevant cation content). The uncertainty in the amount of feedstock added over a Reporting Period must be disclosed.
At least one monitoring location downstream of the dosing site is required (C, D, or E).
The downstream location must be downstream of the initial mixing length. The mixing length describes the distance over which river properties mix and become homogenized with respect to the newly added alkalinity. The mixing length depends on flow velocity, channel geometry, turbulence and river features such as meanders and pools. Therefore, the mixing length may change dynamically with environmental conditions. It is recommended that the mixing length is estimated for characteristic seasonal flow rates, and monitoring locations are established to ensure measurements capture solute concentrations that have evenly distributed across the river.
The mixing length may also serve a regulatory purpose in determining the spatial limits over which water quality criteria can be exceeded.
The weathering zone is the reach of the river over which feedstock weathering occurs. Its spatial extent depends on the amount and characteristics of the feedstock, river chemistry (pH, saturation state) and physics (flow velocity, temperature, turbulence). Since only dissolved constituents are measured to quantify [math: DIC_{downstream,\ i}], it is recommended that the downstream measurement is taken near the end of the weathering zone where the carbonate chemistry signal will be most pronounced.
Measurements at the river mouth are required to constrain [math: DIC_{Export}]. Measurements of both [math: DIC] and [math: Alk] are used to assess the degree of carbonate chemistry equilibration and are used to quantify the loss factor for ocean losses (see Section 8.23.2).
Measurements of the freshwater plume may be used to determine ocean losses (see Section 8.23.2). Sites that may be at risk of marine carbonate precipitation may require measurement of aragonite saturation state.
Required river parameters for quantification include: river discharge, temperature, salinity, and carbonate system parameters.
Flow rate can be determined using stage-discharge rating curves. Alternate methods such as site-specific rainfall-runoff models, remote sensing, guaging cameras, or statistical methods to relate ungauged and gauged catchments must be validated and described in the PDD.
Temperature and salinity (or conductivitiy) are necessary for determining physical conditions, and should be co-located with other measured quantities.
Two carbonate chemistry parameters (pH, TA, DIC, pCO₂) can be used to characterize the carbonate system. It is a known limitation of using pH and pCO₂ measurements to constrain the full carbonate system that uncertainty can be high3433. It is therefore recommended that a third carbonate system measurement is collected and measured to constrain the full carbonate system (including the state of carbonate disequilibrium) and recalibrate autonomous sensors.
Alkalinity is generally determined in the lab from bottle samples and can be determined either via acid titration to the CO2 equivalence point or cation/anion charge balance (e.g., ICP-MS/OES and ion chromatography).
Density measurements must correspond with tracer concentrations (alkalinity or DIC). For in situ measurements, it is acceptable to estimate density from other field measurements (e.g., temperature and salinity) or use values from sensors calibrated to manufacturer specifications. For bottle samples, the density of the solution at lab temperature must be used.
Project Proponents must conduct an environmental impact assessment (EIA) and develop a project and site-specific ecological monitoring and mitigation strategy (see Section 6.3). Monitoring for ecosystem safety should include the weathering zone, estuary and sensitive locations downstream to be identified and determined on a site-by-site basis.
Dissolved oxygen (DO), turbidity, and total suspended solids (TSS) are required in the weathering zone, where the risk of sudden changes are most pronounced. Monitoring Chl-a, dissolved inorganic nutrients, dissolved organic carbon (DOC) and particulate organic carbon (POC) are also recommended to monitor changes in primary production, nutrient availability and the organic carbon cycle.
Project Proponents are recommended and may be requried to conduct periodic surveys to monitor ecological changes and potential interactions with species of special concern (IUCN listed, commercially exploited or keystone species). Sampling in biota and sediments for accumulation of heavy metals or contaminants is recommended and may be required.
Data collection remains imperative for establishing a foundation for future analysis and enabling the assessment of cumulative impacts of River Alkalinity Enhancement, including assessing co-benefits and restoration impacts. Ecological data must be made publicly available, and the location of where data is stored publicly must be included in the PDD.
Thresholds on environmental monitoring parameters are used to determine safe limits for dosing, mitigate environmental risks and identify negative environmental impact.
Two types of thresholds are used:
Effective implementation of these measures must also be accompanied by a robust monitoring plan to detect negative impacts and stop projects when necessary.
Violations are determined based on the threshold type, and specificities of the site, permit and intended activities. For example, exceedance of safety thresholds may be determined by daily mean or max values and exceedance of action thresholds in the mixing zone may be determined by weekly and/or monthly mean or max values. All violations need to be reported, and gaps in monitoring data must be justified.
Credits cannot be issued for time periods without sufficient measurements to demonstrate compliance with action and safety thresholds. The handling of data gaps must be reported in the PDD. Removal activity from discharges that occur during time periods of safety threshold violations will not be eligible for crediting. Action threshold violations must trigger adaptive management plans. Failure to adequately address environmental risks or remediate any harm will lead to a project being subject to Credit cessation.
In some cases, circumstances may occur that result in measurements or data that are missing, incomplete or out of line with expectations given the project design or previous measurements. Similarly, disruptions to the project area and ongoing monitoring (e.g., extreme weather events or equipment failure) may result in missing data, outliers or unexplained results. For the purposes of this Protocol, outliers are defined as data that are more than three standard deviations from the mean (or equivalent percentiles for non-normal distributions). In such instances, the Project Proponent may seek clarification on how the data should be handled. When such instances occur, the details must be reported to the VVB and Isometric as quickly as possible after identification. In such situations, and on a case-by-case basis, Isometric will work to remedy the situation in consultation with the Project Proponent and VVB. Examples of possible remedies include omitting outliers that represent a highly improbable result or replacing missing data with a conservative estimator of a group of samples collected from a nearby and likely representative area.
Table 4 below summarizes the required and recommended monitoring parameters. Required measurements indicate the minimum common set of measurements needed for all projects under this protocol. Additional required measurements may be necessary based on specifics of the Project, site and environmental risk mitigation plan.
Table 4. Summary of required and recommended measurements for monitoring. Required measurements indicate the minimum common set of measurements needed for all projects under this protocol. The exact monitoring plan must be described in the PDD, including measurements used to develop and validate models.
Location | Parameter | Requirement Scope | Reason for Measurement | Methods | Frequency |
|---|---|---|---|---|---|
Upstream of dosing, A | Q, Discharge rate (m3/day) | Required for all projects | Required for determining volume of water flowing through the river, used in total carbon removal calculation | Stage measurement with stage-discharge relationship, or calibrated rainfall runoff model, or calibrated imaging-based methods. | Ongoing before and throughout deployment, with exact frequency justified in the PDD |
pCO2 | Required for all projects | Required for quantifying amount of carbon removed | pCO2 sensor | ||
pH | Required for all projects | Required for confirmation of steady state, quantifying amount of carbon removed, and and adhering to permit limits | pH sensor or discrete bottle samples (see Appendix 1 for more guidance) | ||
DIC | Required for all projects | Required to assess the local state of carbonate disequilibrium and quantifying amount of carbon removed | Discrete bottle samples | ||
Alk | Required for all projects | Required to assess the local state of carbonate disequilibrium quantifying amount of carbon removed | Discrete bottle samples | ||
Temperature | Required for all projects | Required for determining physical conditions and making calculations to fully constrain the carbonate system | Sensor | ||
Salinity | Required for all projects | Required for determining physical conditions and making calculations to fully constrain the carbonate system | Sensor (e.g., conductivity) | ||
Total Suspended Solids | Recommended for all projects | Recommended for determining total sediment load, confirming feedstock dissolution and monitoring ecosystem health | Discrete bottle samples and filtering directly onto pre-weighed filter and subsequent measurement of mass change through drying (for example, in an oven) | ||
Bed composition | Recommended for all projects | Recommended for confirming feedstock dissolution and monitoring benthic ecosystem health | Sediment samples | ||
Trace metal concentration | Recommended based on feedstock used, may be required as part of project-specific environmental risk mitigation strategy | Recommended for water and tissue samples in keystone species to track potential trace and heavy metal accumulation | Discrete bottle and tissue sampling | ||
Feedstock dosing, B | Alkalinity dosing rate for all projects (L/day, kg/day, or other applicable units) | Required for all projects | Required for determining the total alkalinity introduced as a result of the project activity, needed as an input process model | Sensor or calibrated based on dry feed weight of feedstock and flow rate | Ongoing throughout deployment |
Fraction of dissolved alkalinity | Required for all projects | Required for determining the fraction of solid and dissolved alkalinity to be input into the process model | May be measured or estimated with a model. Recommended to validate particle dissolution kinetics with grab samples and subsequent filtering and analysis. | ||
Downstream of initial mixing length, C | Q, Discharge rate (m3/day) | At least one downstream measurement location required | Required for quantifying amount of carbon removed | Stage measurement with stage-discharge relationship | At least once per residence time at the onset of project activities until steady state is reached. Ongoing throughout deployment. |
pCO2 | Required if C used for carbon removal quantification | Required for quantifying amount of carbon removed | pCO2 sensor | ||
pH | Required if C used for carbon removal quantification | Required for quantifying amount of carbon removed | pH sensor or discrete bottle samples | ||
DIC | Recommended if C used for carbon removal quantification | Required for quantifying amount of carbon removed | Discrete bottle samples | ||
Alk | Recommended if C used for carbon removal quantification | Required for quantifying amount of carbon removed | Discrete bottle samples | ||
Temperature | Required if C used for carbon removal quantification | Required for determining physical conditions and making calculations to fully constrain the seawater carbonate system | Sensor | ||
Salinity | Required if C used for carbon removal quantification | Required for determining physical conditions and making calculations to fully constrain the seawater carbonate system | Sensor | ||
Downstream of weathering zone, D | Q, Discharge rate (L/day) | Required if D used for carbon removal quantification | Required for quantifying amount of carbon removed | Stage measurement with stage-discharge relationship | At least once per residence time at the onset of project activities until steady state is reached. Ongoing throughout deployment. |
pCO2 | Required if D used for carbon removal quantification | Required for quantifying amount of carbon removed | pCO2 sensor | ||
pH | Required if D used for carbon removal quantification | Required for quantifying amount of carbon removed | pH sensor or discrete bottle samples | ||
DIC | Recommended if D used for carbon removal quantification | Required for quantifying amount of carbon removed | Discrete bottle samples | ||
Alk | Recommended if D used for carbon removal quantification | Required for quantifying amount of carbon removed | Discrete bottle samples | ||
Temperature | Required if D used for carbon removal quantification | Required for determining physical conditions and making calculations to fully constrain the seawater carbonate system | Sensor | ||
Salinity | Required if D used for carbon removal quantification | Required for determining physical conditions and making calculations to fully constrain the seawater carbonate system | Sensor | ||
River mouth, E | Q, Discharge rate (m3/day) | Required for all projects | Required for quantifying amount of carbon removed | Stage measurement with stage-discharge relationship | At high frequency when ramp-up is occuring and shortly after any dosing rate changes are made. Frequency may be lowered when the dosing rate is occurring at a steady state. |
pCO2 | Required for all projects | Required for quantifying amount of carbon removed | pCO2 sensor | ||
pH | Required for all projects | Required for quantifying amount of carbon removed | pH sensor or discrete bottle samples | ||
DIC | Required for all projects | Required for quantifying amount of carbon removed | Discrete bottle samples | ||
Alk | Required for all projects | Required for quantifying amount of carbon removed | Discrete bottle samples | ||
Temperature | Required for all projects | Required for determining physical conditions and making calculations to fully constrain the seawater carbonate system | Sensor | ||
Salinity | Required for all projects | Required for determining physical conditions and making calculations to fully constrain the seawater carbonate system | Sensor | ||
Within sensitive areas along the river to the ocean, to be determined with community engagement | Dissolved Oxygen | Required for all projects, specific location will depend on dosing plan and permit limits | Required as indicator of general ecosystem health | Sensor or discrete bottle samples | Ongoing before and throughout deployment, with exact frequency justified in the PDD. |
Total Suspended Solids | Required for all projects, specific location will depend on dosing plan and permit limits | Required for monitoring water quality and quantification. | Discrete bottle samples and filtering directly onto pre-weighed filter and subsequent measurement of mass change through drying (for example, in an oven) | ||
Turbidity | Required for all projects, specific location will depend on dosing plan and permit limits | Required as part of ecosystem monitoring because elevated turbidity can impact photosynthesis and benthic ecosystem health, and be an indicator of secondary precipitation. | Sensor or discrete water sample | ||
Bedload | Required for all projects | Required for confirming feedstock dissolution and monitoring benthic ecosystem health | Sediment sample | ||
Chlorophyll-a | Recommended for all projects, may be required as part of project-specific environmental risk mitigation strategy | Recommended as an indicator of general ecosystem health (phytoplankton primary productivity) | Sensor or discrete water sample | ||
Dissolved inorganic nutrients | Recommended for all projects, may be required as part of project-specific environmental risk mitigation strategy | Recommended as an indicator of general ecosystem health (available nutrients for primary productivity) and nutrient limitation impacts from secondary precipitation. | Discrete water sample | ||
Dissolved organic carbon | Recommended for all projects, may be required as part of project-specific environmental risk mitigation strategy | Recommended as an indicator of system level perturbations in non-durable carbon reservoirs. | Discrete water sample | ||
Trace metal concentration | Recommended based on feedstock used, may be required as part of project-specific environmental risk mitigation strategy | Recommended for water and tissue samples in keystone species to track potential trace and heavy metal accumulation | Discrete bottle tissue sampling |
Isometric would like to thank the following reviewers of this Protocol:
This Appendix is general for CDR approaches which leverage inland waters including River Alkalinity Enhancement, Wastewater Alkalinity Enhancement, and other related pathways.
Field measurements play an important role in:
Field measurements may include fixed in-situ sensors, ship-based or autonomous transecting and profiling, discrete bottle sampling, field surveys, aerial imaging and remote sensing. There is significant variability in the specific instruments and field methods that may be used to conduct collect data.
Where field measurements are used to establish site characterization or model validation, Project Proponents must provide thorough documentation on planned and completed field campaigns, including details on the campaign design (spatial and temporal coverage, sampling density, data collection techniques, instrument resolution), metadata, data processing, analytical and statistical techniques, instrument calibration and data quality control. In the sections that follow, we highlight some recommended references and best practices to ensure high quality data generation from field measurements.
Collecting discrete bottle samples alongside continuous autonomous sensor measurements is recommended. Both measurement types offer advantages, for example autonomous sensors can offer wider temporal coverage, while bottle samples are crucial for ground truthing absolute values. Additionally, bottle samples can be used to calibrate drift of long term autonomous sensor deployments.
To facilitate accessibility, transparency and interoperability of research relevant data, data collected from field campaigns must adhere to FAIR data principles (Wilkinson et al., 2016)3130.
For discrete bottle samples, we refer Project Proponents to the Best Practice Data Standards for Discrete Chemical Oceanographic Observations (Jiang et al., 2023-b)3534.
Additional considerations for discrete bottle sampling of carbonate chemistry are discussed in Guide to Best Practices in Ocean Alkalinity Research: Chapter 2 (Seawater carbonate chemistry considerations for ocean alkalinity enhancement research: theory, measurements and calculations) 3635.
Recommended analytical methods for bottle samples include:
The following methods are approved by the Clean Water Act, EPA:
For sensors, Project Proponents are recommended to follow manufacturer provided user manuals for instrument preparation, maintenance, calibration and quality control. Environmental and deployment factors which may affect the quality and interpretation of data (e.g. instrument orientation, interference, presence of bubbles, sediment, and biology) must be described.
Adoption of innovative sensor technologies is encouraged. For novel sensors, additional information that would typically be available from a manufacturer would also have to be provided. These include detection range, resolution, accuracy, performance under different environmental conditions (ie. temperature ranges) and response time. The expected measurement conditions must be within the sensor’s range.
Project Proponents must perform instrument calibration before deployment, and recalibrate instruments at an interval recommended by the manufacturer. Calibration curves or equations for the instrument or sensor must be documented. Post-deployment calibration is recommended to account for instrument drift over the deployment duration.
Project Proponents must develop a maintenance plan for moored instruments deployed longer than 30 days. This should include plans to clean or replace sensors that may be impacted by biofoul, such as optical sensors, conductivity cells or flow through sensors.
Data processing techniques must be documented, including quality control, filtering, despiking and statistical analysis. The recommended quality control process differs between instruments. It is recommended that data be assessed using Data Quality Assessment and Review practices outlined by the USGS.
The quality control manuals for autonomous instruments prepared by the Integrated Ocean Observing System are a recommended resource.
Quality control checks could include:
USGS Guidelines and Standard Procedures for Continuous Water-Quality Monitors: Station Operation, Record Computation, QA/QC and Data Reporting (USGS 2006)are recommended resources.
A variety of tool are commonly used to determine discharge. These include:
These methods can be used individually or concert with one another to reduce uncertainty. We recommend that the Project Proponent consult the variety of resources available through the USGS including Discharge Measurements at Gauging Stations and Satellite-based Remote Sensing of River Discharge.
Wherever possible, it is recommended that the Project Proponent:
Below are some hypothetical examples that are for illustrative purposes only, to demonstrate some of the site and project considerations when determining the appropriate monitoring duration and frequency for a particular parameter and use case.
Example 1
A RAE project is collecting pre-deployment DIC measurements at the river mouth, which will be used to train a baseline model for the net CDR calculation. The key objective is to ensure sufficient data are collected for developing a robust model, which requires that the baseline data is representative of the range of natural variability that the RAE project might experience during deployment. The RAE project plans on dosing continuously only in the summer months. Based on previous studies of this site, stream discharge is strongly negatively correlated with DIC, and the discharge at the river mouth primarily varies seasonally and with weather events. Monitoring duration: Since the RAE project will only operate in the summer months, it is not necessary to characterize the full seasonal variability and it may be sufficient for the pre-deployment data to be collected in the previous summer, with some additional buffer time, e.g. May-September. Expanding the duration of monitoring is beneficial as it can mitigate potential extreme or abnormal climatic events. Monitoring frequency: To capture DIC measurements under a wide range of river discharge rates, the project makes weekly samples, with additional opportunistic samples depending on meteorological conditions such as right before and after a storm.
Example 2
An environmental risk of a RAE project that the local community is concerned about is increased suspended particles in the water column near the dosing location, which could reduce available light in the water column for photosynthesis and reduce oxygen in the river. To monitor and mitigate against this, the RAE project that is operating continuously for 1 year is monitoring TSS near the dosing location, where the impact is expected to be the largest. The project set a safety threshold that TSS cannot exceed 50 mg/L. Monitoring duration: Since the TSS monitoring is meant for assessing ongoing compliance with a safety threshold, and assessing potential impacts, the monitoring duration must span the full time period of the project activity of 1 year. The project decides to continue collecting data for 2 weeks after the cessation of project dosing to study the return to baseline conditions. Monitoring frequency: The main driver of TSS variability at this site is stream discharge, which varies seasonally and with weather events. The project takes a dynamic sampling approach based on when risk is highest of coming close to the TSS safety threshold. As a default, The Project takes biweekly TSS samples, but increases sampling frequency around storm events as well as during the wet season when there is more precipitation.
This Appendix is general for marine CDR approaches: Ocean Alkalinity Enhancement (OAE), Direct Ocean Capture (DOC), Wastewater Alkalinity Enhancement
Field measurements play an important role in:
Broadly, field measurements may include moored in-situ sensors, ship-based or autonomous transecting and profiling, discrete bottle sampling, field surveys, aerial imaging and remote sensing. There is significant variability in the specific instruments and field methods that may be used to conduct collect data.
Project Proponents must provide thorough documentation on planned and completed field campaigns, including details on the campaign design (spatial and temporal coverage, sampling density, data collection techniques, instrument resolution), metadata, data processing, analytical and statistical techniques, instrument calibration and data quality control. In the sections that follow, we highlight some recommended references and best practices to ensure high quality data generation from field measurements.
Collecting discrete bottle samples alongside continuous autonomous sensor measurements is recommended. Both measurement types offer advantages, for example autonomous sensors can offer wider temporal coverage, while bottle samples are crucial for ground truthing absolute values. Additionally, bottle samples can be used to calibrate drift of long term autonomous sensor deployments.
To facilitate accessibility, transparency and interoperability of research relevant data, data collected from field campaigns must adhere to FAIR data principles (Wilkinson et al., 2016). Project Proponents should follow the data standards and controlled vocabularies described in Guide to Best Practices in Ocean Alkalinity Research: Chapter 13–Data reporting and sharing for ocean alkalinity enhancement research (Jiang et al., 2023). Metadata should be complete according to the NOAA ocean acidification metadata template.
For discrete bottle samples, we refer Project Proponents to the Best Practice Data Standards for Discrete Chemical Oceanographic Observations (Jiang et al., 2023-b). Additional considerations for discrete bottle sampling of carbonate chemistry are discussed in Guide to Best Practices in Ocean Alkalinity Research: Chapter 2 (Seawater carbonate chemistry considerations for ocean alkalinity enhancement research: theory, measurements and calculations) (Schulz et al., 2023).
Recommended analytical methods for bottle samples include:
Parameter | Recommended Method |
|---|---|
Carbonate Chemistry parameters (pH, DIC, TA) | |
Nutrients | |
Salinity | |
Dissolved Oxygen | |
Chl-a | |
TSS | |
Trace metals |
The following methods are approved by the Clean Water Act, EPA:
For autonomous instruments, Project Proponents are recommended to follow manufacturer provided user manuals for instrument preparation, maintenance, calibration and quality control. Environmental and deployment factors which may affect the quality and interpretation of data, (e.g. instrument orientation, interference, presence of bubbles, sediment, and biology) must be described.
Adoption of innovative sensor technologies is encouraged. For novel sensors, additional information that would typically be available from a manufacturer would also have to be provided. These include detection range, resolution, accuracy, performance under different environmental conditions (ie. temperature ranges) and response time. The expected measurement conditions must be within the sensor’s range.
Project Proponents must perform instrument calibration before deployment, and recalibrate instruments at an interval recommended by the manufacturer. Calibration curves or equations for the instrument or sensor must be documented. Post-deployment calibration is recommended to account for instrument drift over the deployment duration.
Project Proponents must develop a maintenance plan for moored instruments deployed longer than 30 days. This should include plans to clean or replace sensors that may be impacted by biofoul, such as optical sensors, conductivity cells or flow through sensors.
Data processing techniques must be documented, including quality control, filtering, despiking and statistical analysis. The recommended quality control process differs between instruments. Data should be reported using quality control flags consistent with International Oceanographic Data and Information Exchange (IODE) (Bushnell et al., 2019).
The quality control manuals for autonomous instruments prepared by the Integrated Ocean Observing System are a recommended resource.
Quality control checks could include:
Data Analysis Methods for Physical Oceanography is a recommended resource for statistical analysis methods (Thomson and Emery, 2014).
Tracer studies track effluent using a tracer that is either naturally present or added. They can be useful for mCDR projects to:
Ideal tracers are not harmful to the environment, have near zero background concentration, are conservative or decay very slowly in relation to the duration of field work, mix freely and can be measured in the field at low concentrations. As such, examples of tracers that may be used in Direct Ocean Capture are fluorescent dyes (i.e. rhodamine dye) and gas tracers (SF6, CH3, SF5, 3He).
Fluorescent dye tracers, such as rhodamine dye, are preferable because they can be detected from aerial imaging or high frequency in situ sensors. Rhodamine dye degrades in days to weeks, and can be helpful for characterizing near-field mixing. Gas tracers have a lifespan on the order of years, and can be useful for large scale experiments, however, they have high global warming potential.
Tracers can be injected into the effluent to increase the trackability of the effluent. Alternatively, the tracer dye can be released directly into the water column as a slug release, to help constrain localized dispersion characteristics for coastal models.
If a tracer study is conducted to characterize pCO2-plume transport, the sampling plan must include vertical profiling along transects. A sufficient number of studies are required to produce a sensitivity analysis. Sampling plan, data analysis and interpretation will be evaluated on a case by case basis.
The US EPA Operating Procedure and USGS Procedure for Dye Tracer Measurements are recommended resources.
The following checklist can be referenced for tracer release studies using rhodamine dye to validate an ocean model or characterize plume transport.
Study planning:
Materials preparation:
Release:
Sampling (ship-based or underway system):
Data quality and interpretation:
Monitoring may span pre-deployment, throughout project operations and post-project operations. For pre-deployment environmental monitoring, Project Proponents must provide a baseline characterization of monitored water chemistry and ecological parameters at the site, which should be sufficiently long and well-resolved to characterize background ocean variability. The exact duration and frequency of monitoring will depend on the parameters being measured, as well as site and project specific factors. Listed below are considerations for determining and justifying the monitoring frequency and duration.
The duration of pre-deployment monitoring should consider:
Similarly, post-discharge environmental monitoring should consider:
The monitoring frequency should reflect that which is necessary to provide sufficient information about the impacted waters. Some factors which may influence the frequency and intensity of the monitoring plan include:
Below are some hypothetical examples that are for illustrative purposes only, to demonstrate some of the site and project considerations when determining the appropriate monitoring duration and frequency for a particular parameter and use case.
Example 1
An OAE project is monitoring for changes in ocean pH near the discharge site to make sure the change in pH does not exceed a threshold of +/-0.2 of the natural variability of pH. The dosing period is 1 week, and the residence time of the region where pH sensors are deployed is 1 day. At this site, it is known from previous studies and published literature that the dominant temporal modes of variability for pH are diurnal and seasonal, due to biological activity. Monitoring duration: Because the activity and dosing period are much shorter than the seasonal variability in this case, it is not necessary for the baseline characterization to span a full year to resolve the seasonal cycle. Instead, the baseline monitoring for a few days before deployment is sufficient. There is ongoing monitoring during the 7 day dosing period, and the post-dosing monitoring for pH should additionally span at least the residence time. To be conservative and to collect additional safety data though, The Project decides to extend post-dosing monitoring for 1 week. Monitoring frequency: To resolve the diurnal cycle variability, sampling should be conducted at a higher frequency than daily, e.g. sampling at minimum every 6 hours would result in at least 4 measurements per day and would be sufficient here. Luckily, The Project uses continuous pH sensors, which allows them to sample much more frequently to fully resolve the diurnal cycle.
Example 2
An environmental risk of a mineral OAE project that the local community is concerned about is bioaccumulation of metals in a nearby oyster farm. To address this, The Project is monitoring the concentration of trace metals in oyster tissues before and after The Project activity. The Project is dosing feedstock particles into the ocean for 1 week, but some of the feedstock will accumulate on the seafloor and it can take up to 3 months for the particles to fully dissolve. The farm grows oysters in the ocean for 1 year before harvesting. Monitoring frequency: The accumulation of any metals in oysters will take some time, especially because it will take a few months after project dosing completes for the feedstock particles to dissolve. Thus it was decided to sample the oysters once a month for the first 3 months following the project activites since that is the period during which particle dissolution is expected to occur, and then once a season after that. Monitoring duration: In this case, the community would like to know the impacts on the oysters that are being harvested for food. So the post-deployment monitoring lasts for 1 year post-dosing (taking seasonal samples) to span the oysters growth cycle and to ensure that metal concentrations do not exceed the local food safety regulatory limits. A control sample was collected from a number of oysters pre-deployment.
Projects applicable to this Protocol are generally categorized as having No Observable Risk of Reversal according to the Isometric Standard Risk Assessment Questionnaire. This results in a 0% buffer pool for Projects using this Protocol and Storage Module. However, if a Project identifies project-specific factors which impact the Risk of Reversal, they are required to complete the Risk of Reversal Questionnaire below.
This risk assessment identifies the pathway specific risk factors relevant to a carbon removal project. The relevant risk factors identified as part of a risk assessment are included in the monitoring plan requirements for the project, with details included in the Project Design Document. Project specific risk factors inform the required duration of monitoring along with the monitoring requirements set out in the Protocol and the requirements set out in the Monitoring Section of the Isometric Standard.
The risk score, as determined by the Risk of Reversal Questionnaire, will determine a project’s buffer pool contribution. Projects must re-assess their reversal risk at the renewal of each crediting period, or if monitoring identifies a reversal-related risk, or if an actual reversal event takes place. In any event, projects should reassess their reversal risk at a minimum every 5 years.
The Risk of Reversal Questionnaire questions that pertain to this protocol, drawn from the programme-level Risk of Reversal Questionnaire defined in Appendix B: Risk Reversal Questionnaire of the Isometric Standard, include the following:
No. in Isometric Standard Questionnaire | Question | If answered “Yes” | If answered “No” |
|---|---|---|---|
1 | Is a reversal directly observable with a physical or chemical | Proceed to questions 2- | Proceed to questions 8- |
8 | Is there 10+ years of monitoring and/or lab data demonstrating low project risk? | Minus up to 2 to Risk Score | |
9 | Does this pathway have a documented history of reversals in excess of proposed buffer pool size? | Add 2 to Risk Score | |
10 | Is there one or more project-specific factors that merit a high risk level? | Add up to 2 to Risk Score |
Note the Risk Score at any step cannot be negative.
Risk Score Categories:
Project specific risk factors will depend on the form of carbon being stored (i.e., organic vs. inorganic), the method of storage (e.g., mineralization, encapsulation), the location of carbon storage (e.g., subsurface, ocean), and the proximity of that carbon to potential agents of reversal.
For projects with carbon storage as inorganic carbon, the presence of the following risk factors must be reflected in the risk score corresponding to question 10:
Liu, M., Raymond, P. A., Lauerwald, R., Zhang, Q., Trapp-Müller, G., Davis, K. L., Moosdorf, N., Xiao, C., Middelburg, J. J., Bouwman, A. F., Beusen, A. H. W., Peng, C., Lacroix, F., Tian, H., Wang, J., Li, M., Zhu, Q., Cohen, S., van Hoek, W. J., Li, Y., Li, Y., Yao, Y., and Regnier, P. (2024). Global riverine land-to-ocean carbon export constrained by observations and multi-model assessment. Nature Geoscience, 17, 896–904.https://www.nature.com/articles/s41561-024-01524-z↩
Renforth, P., & Henderson, G. (2017). Assessing ocean alkalinity for carbon sequestration. Reviews of Geophysics, 55(3), 636–674. https://doi.org/10.1002/2016RG000533↩↩2
Huang, W., Cai, W., Wang, Y., Lohrenz, S. E., & Murrell, M. C. (2015). The carbon dioxide system on the Mississippi River‐dominated continental shelf in the northern Gulf of Mexico: 1. Distribution and air‐sea CO2 flux. Journal of Geophysical Research. Oceans, 120(3), 1429–1445. https://doi.org/10.1002/2014JC010498↩
Li, M., Peng, C., Wang, M., Xue, W., Zhang, K., Wang, K., Shi, G., & Zhu, Q. (2017). The carbon flux of global rivers: A re-evaluation of amount and spatial patterns. Ecological Indicators, 80, 40–51. https://doi.org/10.1016/j.ecolind.2017.04.049↩
Ludwig, W., Amiotte Suchet, P., & Probst, J.-L. (1996). River discharges of carbon to the world’s oceans: Determining local inputs of alkalinity and of dissolved and particulate organic carbon. Sciences de La Terre et Des Planètes (Comptes Rendus de l’Académie Des Sciences), t. 323, 1007–1014. ↩
Mant, R. C., Jones, D. L., Reynolds, B., Ormerod, S. J., & Pullin, A. S. (2013). A systematic review of the effectiveness of liming to mitigate impacts of river acidification on fish and macro-invertebrates. Environmental Pollution, 179, 285–293. https://doi.org/10.1016/j.envpol.2013.04.019↩↩2
Clair, T. A., & Hindar, A. (2005). Liming for the mitigation of acid rain effects in freshwaters: A review of recent results. Environmental Reviews, 13(3), 91–128. https://doi.org/10.1139/a05-009↩
Bach, L. T., Gill, S. J., Rickaby, R. E. M., Gore, S., & Renforth, P. (2019). CO2 Removal With Enhanced Weathering and Ocean Alkalinity Enhancement: Potential Risks and Co-benefits for Marine Pelagic Ecosystems. Frontiers in Climate, 1, 7. https://doi.org/10.3389/fclim.2019.00007↩
BS EN 15978:2011 Sustainability of construction works - Assessment of environmental performance of buildings - Calculation method ↩↩2↩3↩4↩5
Intergovernmental Panel On Climate Change (IPCC) (Ed.). (2023). Climate Change 2022 - Mitigation of Climate Change: Working Group III Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (1st ed.). Cambridge University Press. https://doi.org/10.1017/9781009157926↩
Tian, H., Yao, Y., Li, Y., Shi, H., Pan, S., Najjar, R. G., Pan, N., Bian, Z., Ciais, P., Cai, W.-J., Dai, M., Friedrichs, M. A. M., Li, H.-Y., Lohrenz, S., & Leung, L. R. (2023). Increased Terrestrial Carbon Export and CO2 Evasion From Global Inland Waters Since the Preindustrial Era. Global Biogeochemical Cycles, 37(10), e2023GB007776. https://doi.org/10.1029/2023GB007776↩↩2
Ran, L., Lu, X. X., Yang, H., Li, L., Yu, R., Sun, H., & Han, J. (2015). CO2 outgassing from the Yellow River network and its implications for riverine carbon cycle. Journal of Geophysical Research: Biogeosciences, 120(7), 1334–1347. https://doi.org/10.1002/2015JG002982↩
Atkins, M. L., Santos, I. R., & Maher, D. T. (2017). Seasonal exports and drivers of dissolved inorganic and organic carbon, carbon dioxide, methane and δ13C signatures in a subtropical river network. Science of The Total Environment, 575, 545–563. https://doi.org/10.1016/j.scitotenv.2016.09.020↩
Wurgaft, E., Wang, Z. A., Churchill, J. H., Dellapenna, T., Song, S., Du, J., Ringham, M. C., Rivlin, T., & Lazar, B. (2021). Particle Triggered Reactions as an Important Mechanism of Alkalinity and Inorganic Carbon Removal in River Plumes. Geophysical Research Letters, 48(11), e2021GL093178. https://doi.org/10.1029/2021GL093178↩
Ringham, M., Hirtle, N., Shaw, C., Lu, X., Herndon, J., Carter, B., & Eisaman, M. (2024). A comprehensive assessment of electrochemical ocean alkalinity enhancement in seawater: Kinetics, efficiency, and precipitation thresholds. EGUsphere, 2024, 1–22. https://doi.org/10.5194/egusphere-2024-108↩↩2
Schulz, K. G., Bach, L. T., & Dickson, A. G. (2023). Seawater carbonate chemistry considerations for ocean alkalinity enhancement research: Theory, measurements, and calculations. Guide to Best Practices in Ocean Alkalinity Enhancement Research, 2-oae2023, 2. https://doi.org/10.5194/sp-2-oae2023-2-2023↩
Moras, C. A., Bach, L. T., Cyronak, T., Joannes-Boyau, R., & Schulz, K. G. (2022). Ocean alkalinity enhancement – avoiding runaway CaCO₃ precipitation during quick and hydrated lime dissolution. Biogeosciences, 19(15), 3537–3557. https://doi.org/10.5194/bg-19-3537-2022↩↩2
Iglesias-Rodríguez, M. D., Rickaby, R. E. M., Singh, A., & Gately, J. A. (2023). Laboratory experiments in ocean alkalinity enhancement research. Guide to Best Practices in Ocean Alkalinity Enhancement Research, 2-oae2023, 5. https://doi.org/10.5194/sp-2-oae2023-5-2023↩
Suitner, N., Faucher, G., Lim, C., Schneider, J., Moras, C. A., Riebesell, U., & Hartmann, J. (2024). Ocean alkalinity enhancement approaches and the predictability of runaway precipitation processes: Results of an experimental study to determine critical alkalinity ranges for safe and sustainable application scenarios. Biogeosciences, 21(20), 4587–4604. https://doi.org/10.5194/bg-21-4587-2024↩
He, J., & Tyka, M. D. (2023). Limits and CO 2 equilibration of near-coast alkalinity enhancement. Biogeosciences, 20(1), 27–43. https://doi.org/10.5194/bg-20-27-2023↩
Bach, L. T. (2024). The additionality problem of ocean alkalinity enhancement. Biogeosciences, 21(1), 261–277. https://doi.org/10.5194/bg-21-261-2024↩
Zhang, S., Planavsky, N. J., Katchinoff, J., Raymond, P. A., Kanzaki, Y., Reershemius, T., & Reinhard, C. T. (2022). River chemistry constraints on the carbon capture potential of surficial enhanced rock weathering. Limnology and Oceanography, 67(S2), S148–S157. https://doi.org/10.1002/lno.12244↩
Harrington, K. J., Hilton, R. G., & Henderson, G. M. (2023). Implications of the Riverine Response to Enhanced Weathering for CO2 removal in the UK. Applied Geochemistry, 152, 105643. https://doi.org/10.1016/j.apgeochem.2023.105643↩↩2
Futter, M. N., Butterfield, D., Cosby, B. J., Dillon, P. J., Wade, A. J., & Whitehead, P. G. (2007). Modeling the mechanisms that control in-stream dissolved organic carbon dynamics in upland and forested catchments. Water Resources Research, 43(2). https://doi.org/10.1029/2006WR004960↩
Bicknell, B. R., Imhoff, J. C., Kittle Jr, J. L., Donigian Jr, A. S., & Johanson, R. C. (1996). Hydrological simulation program—FORTRAN, user’s manual for release 11. US EPA. ↩
Fuhr, M., Geilert, S., Schmidt, M., Liebetrau, V., Vogt, C., Ledwig, B., & Wallmann, K. (2022). Kinetics of Olivine Weathering in Seawater: An Experimental Study. Frontiers in Climate, 4. https://www.frontiersin.org/articles/10.3389/fclim.2022.831587↩
Beerling, D. J., Kantzas, E. P., Lomas, M. R., Wade, P., Eufrasio, R. M., Renforth, P., Sarkar, B., Andrews, M. G., James, R. H., Pearce, C. R., Mercure, J.-F., Pollitt, H., Holden, P. B., Edwards, N. R., Khanna, M., Koh, L., Quegan, S., Pidgeon, N. F., Janssens, I. A., … Banwart, S. A. (2020). Potential for large-scale CO2 removal via enhanced rock weathering with croplands. Nature, 583(7815), 242–248. https://doi.org/10.1038/s41586-020-2448-9↩
Kantzas, E. P., Val Martin, M., Lomas, M. R., Eufrasio, R. M., Renforth, P., Lewis, A. L., Taylor, L. L., Mecure, J.-F., Pollitt, H., Vercoulen, P. V., Vakilifard, N., Holden, P. B., Edwards, N. R., Koh, L., Pidgeon, N. F., Banwart, S. A., & Beerling, D. J. (2022). Substantial carbon drawdown potential from enhanced rock weathering in the United Kingdom. Nature Geoscience, 15(5), 382–389. https://doi.org/10.1038/s41561-022-00925-2↩
Kanzaki, Y., Planavsky, N. J., & Reinhard, C. T. (2023). New estimates of the storage permanence and ocean co-benefits of enhanced rock weathering. PNAS Nexus, 2(4), pgad059. https://doi.org/10.1093/pnasnexus/pgad059↩↩2
Mu, L., Palter, J. B., & Wang, H. (2023). Considerations for hypothetical carbon dioxide removal via alkalinity addition in the Amazon River watershed. Biogeosciences, 20(10), 1963–1977. https://doi.org/10.5194/bg-20-1963-2023↩↩2
Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., … Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3(1), 160018. https://doi.org/10.1038/sdata.2016.18↩↩2
Lauerwald, R., Hartmann, J., Moosdorf, N., Kempe, S., & Raymond, P. A. (2013). What controls the spatial patterns of the riverine carbonate system?—A case study for North America. Chemical Geology, 337, 114-127. ↩
Pyo, J., Pachepsky, Y., Kim, S., Abbas, A., Kim, M., Kwon, Y. S., Ligaray, M., & Cho, K. H. (2023). Long short-term memory models of water quality in inland water environments. Water Research X, 21, 100207. https://doi.org/10.1016/j.wroa.2023.100207↩
Dickson, A.G. Sabine, C.L. and Christian, J.R. (2007) Guide to best practices for ocean CO2 measurement. North Pacific Marine Science Organization, 191pp. (PICES Special Publication 3; IOCCP Report 8). DOI: https://doi.org/10.25607/OBP-1342↩
Jiang, L., Pierrot, D., Wanninkhof, R. et al. (2023). Best Practice Data Standards for Discrete Chemical Oceanographic Observations. Frontiers in Marine Science. https://www.frontiersin.org/articles/10.3389/fmars.2021.705638/full↩
Schulz, K. G., Bach, L. T., and Dickson, A. G. (2023). Seawater carbonate chemistry considerations for ocean alkalinity enhancement research: theory, measurements, and calculations. State of the Planet, 2-oae2023, 2, https://doi.org/10.5194/sp-2-oae2023-2-2023. ↩