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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Environ. Eng.</journal-id>
<journal-title>Frontiers in Environmental Engineering</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Environ. Eng.</abbrev-journal-title>
<issn pub-type="epub">2813-5067</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="publisher-id">1641277</article-id>
<article-id pub-id-type="doi">10.3389/fenve.2025.1641277</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Environmental Engineering</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Novel field trial for ocean alkalinity enhancement using electrochemically derived aqueous alkalinity</article-title>
<alt-title alt-title-type="left-running-head">Savoie et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fenve.2025.1641277">10.3389/fenve.2025.1641277</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Savoie</surname>
<given-names>Allison M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Ringham</surname>
<given-names>Mallory</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Torres Sanchez</surname>
<given-names>Carolina</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<name>
<surname>Carter</surname>
<given-names>Brendan R.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<name>
<surname>Dougherty</surname>
<given-names>Sean</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<surname>Feely</surname>
<given-names>Richard A.</given-names>
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<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<surname>Hegeman</surname>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<name>
<surname>Herndon</surname>
<given-names>Julian</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<name>
<surname>Khangaonkar</surname>
<given-names>Tarang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff5">
<sup>5</sup>
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<contrib contrib-type="author">
<name>
<surname>Loretz</surname>
<given-names>Jeremy</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Minck</surname>
<given-names>Tyson</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<name>
<surname>Pelman</surname>
<given-names>Todd</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<name>
<surname>Premathilake</surname>
<given-names>Lakshitha</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff5">
<sup>5</sup>
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<name>
<surname>Subban</surname>
<given-names>Chinmayee</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff6">
<sup>6</sup>
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<surname>Vance</surname>
<given-names>Jesse</given-names>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Ward</surname>
<given-names>Nicholas D.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Coastal Sciences Division</institution>, <institution>Pacific Northwest National Laboratory</institution>, <addr-line>Sequim</addr-line>, <addr-line>WA</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Ebb Carbon, Inc.</institution>, <addr-line>South San Francisco</addr-line>, <addr-line>CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Cooperative Institute for Climate, Ocean, and Ecosystem Studies</institution>, <institution>University of Washington</institution>, <addr-line>Seattle</addr-line>, <addr-line>WA</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Pacific Marine Environmental Laboratory</institution>, <institution>National Oceanic and Atmospheric Administration</institution>, <addr-line>Seattle</addr-line>, <addr-line>WA</addr-line>, <country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Salish Sea Modeling Center</institution>, <institution>University of Washington</institution>, <addr-line>Tacoma</addr-line>, <addr-line>WA</addr-line>, <country>United States</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Materials Science and Engineering</institution>, <institution>University of Washington</institution>, <addr-line>Seattle</addr-line>, <addr-line>WA</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2504239/overview">Michael Fong</ext-link>, National Institute of Standards and Technology, United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/704865/overview">Stephen F. Gonski</ext-link>, University of Delaware, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2686985/overview">Hong-Tao Cong</ext-link>, Xiamen University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Allison M. Savoie, <email>allison.savoie@pnnl.gov</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>4</volume>
<elocation-id>1641277</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Savoie, Ringham, Torres Sanchez, Carter, Dougherty, Feely, Hegeman, Herndon, Khangaonkar, Loretz, Minck, Pelman, Premathilake, Subban, Vance and Ward.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Savoie, Ringham, Torres Sanchez, Carter, Dougherty, Feely, Hegeman, Herndon, Khangaonkar, Loretz, Minck, Pelman, Premathilake, Subban, Vance and Ward</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Ocean alkalinity enhancement is a proposed method of marine carbon dioxide removal that enhances the ocean&#x2019;s uptake of atmospheric carbon dioxide (CO<sub>2</sub>) and converts it to dissolved bicarbonate for long-term ocean storage. This method of marine carbon dioxide removal has been gaining attention for its potential to durably (10,000&#x2b; years) store large amounts of CO<sub>2</sub> (Gt &#x2b; where 1&#xa0;Gt &#x3d; 1 &#xd7; 10<sup>9</sup> tons), while potentially ameliorating acidification in the vicinity of the alkalinity release. This study focuses on a novel release of electrochemically derived aqueous alkalinity into Sequim Bay, WA, through a previously established wastewater treatment plant (WWTP). This research was made possible through the collaboration of industry, academic, and federal partners, which enabled the establishment of an Ebb Carbon electrochemical mCDR system at the Pacific Northwest National Laboratory in Sequim, WA, for ocean alkalinity enhancement field trials. During these field trials, pH was measured across the WWTP system from the initial alkalinity dosing, throughout the WWTP, and at the outfall. We use the NBS scale for pH throughout this study as it is the scale used in discharge permit limits specified for WWTP and NPDES regulation and compliance monitoring. The background pH<sub>NBS</sub> of Sequim Bay seawater was between 7.5 and 7.7 for the November and February field tests. The mixing tank&#x2019;s pH<sub>NBS</sub> was raised to the maximum value permitted for the WWTP (9.0) and maintained across the system (&#xb1;0.2) during the outfall releases. At the outfall, the elevated pH and alkalinity was quickly diluted, such that the region with a measurable signal was limited to within &#x223c;2.5&#xa0;m of the discharge pipe. We were able to successfully monitor an increase in pH<sub>NBS</sub> across all four pulses of alkalinity-enhanced seawater discharge during the February 2025 field trial, with peak pH<sub>NBS</sub> values of 8.3 or 8.1, as recorded by outfall-adjacent YSI Exo 2 sonde and SAMI-pH sensors, respectively. The alkalinity-enhanced seawater did not measurably alter the surrounding waters&#x2019; temperature, salinity, turbidity, or oxygen. This study provides proof-of-concept for a conservative small-scale release of electrochemically generated alkalinity-enhanced seawater from a coastal outfall.</p>
</abstract>
<kwd-group>
<kwd>marine carbon dioxide removal (mCDR)</kwd>
<kwd>ocean alkalinity enhancement (OAE)</kwd>
<kwd>coastal outfall</kwd>
<kwd>wastewater treatment (WWT) technologies</kwd>
<kwd>field experiment</kwd>
<kwd>ocean acidification</kwd>
</kwd-group>
<counts>
<page-count count="18"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Water, Waste and Wastewater Engineering</meta-value>
</custom-meta>
</custom-meta-wrap>
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</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Drastic reduction in carbon dioxide (CO<sub>2</sub>) emissions supplemented with active removal of 100&#x2013;1,000&#xa0;Gt CO<sub>2</sub> from the atmosphere over the 21st century is necessary to limit global warming to below 2&#xb0;C (<xref ref-type="bibr" rid="B76">UN, 2015</xref>; <xref ref-type="bibr" rid="B37">IPCC, 2018</xref>; <xref ref-type="bibr" rid="B64">Rogelj et al., 2018</xref>; <xref ref-type="bibr" rid="B38">IPCC, 2023</xref>). Among potential carbon dioxide removal (CDR) methods, marine geochemical approaches to capturing and storing CO<sub>2</sub> in seawater are gaining attention for their potential durability and ability to scale (<xref ref-type="bibr" rid="B59">Rau, 2011</xref>; <xref ref-type="bibr" rid="B52">National Academies of Sciences and Medicine, 2022</xref>; <xref ref-type="bibr" rid="B14">Cross et al., 2023</xref>). One promising approach to mCDR is ocean alkalinity enhancement (OAE) (<xref ref-type="bibr" rid="B60">Renforth and Henderson, 2017</xref>; <xref ref-type="bibr" rid="B8">Cai and Jiao, 2022</xref>; <xref ref-type="bibr" rid="B53">Oschlies et al., 2023</xref>; <xref ref-type="bibr" rid="B13">Cong et al., 2024</xref>). OAE is considered a promising potential approach for mCDR given its relatively low potential cost per ton of CO<sub>2</sub> removed from the atmosphere and potential to reach Gt-scale removal compared to other more expensive technologies like direct air capture (<xref ref-type="bibr" rid="B14">Cross et al., 2023</xref>). By elevating the alkalinity of seawater, OAE alters the speciation of dissolved inorganic carbon, and encourages the net transfer of CO<sub>2</sub> into the ocean either through an increase in net ocean CO<sub>2</sub> uptake or a reduction in net outgassing (<xref ref-type="bibr" rid="B60">Renforth and Henderson, 2017</xref>; <xref ref-type="bibr" rid="B8">Cai and Jiao, 2022</xref>; <xref ref-type="bibr" rid="B65">Schulz et al., 2023</xref>; <xref ref-type="bibr" rid="B13">Cong et al., 2024</xref>). The shifts lead to a durable (i.e., long-term) enhanced storage of ocean carbon relative to expectations without the OAE intervention, predominantly as elevated dissolved bicarbonate concentrations (<xref ref-type="bibr" rid="B60">Renforth and Henderson, 2017</xref>; <xref ref-type="bibr" rid="B8">Cai and Jiao, 2022</xref>; <xref ref-type="bibr" rid="B65">Schulz et al., 2023</xref>; <xref ref-type="bibr" rid="B13">Cong et al., 2024</xref>; <xref ref-type="bibr" rid="B42">Khangaonkar et al., 2024</xref>).</p>
<p>Multiple approaches to elevating seawater alkalinity have been proposed, including the addition of alkaline materials to seawater and the electrochemical conversion of seawater or brine into alkaline solutions that are delivered to the surface ocean (<xref ref-type="bibr" rid="B8">Cai and Jiao, 2022</xref>; <xref ref-type="bibr" rid="B21">Eisaman et al., 2023</xref>; <xref ref-type="bibr" rid="B53">Oschlies et al., 2023</xref>; <xref ref-type="bibr" rid="B13">Cong et al., 2024</xref>). The type of alkalinity and method of delivery impact the resulting chemical changes in the receiving seawater, but, in general, we expect an increase in pH and a rapid shift of dissolved inorganic carbon (DIC) speciation toward carbonate (CO<sub>3</sub>
<sup>2-</sup>). This increase in pH, in turn, will also reduce the concentration of dissolved CO<sub>2</sub> gas in seawater (<italic>p</italic>CO<sub>2(sw)</sub>) (<xref ref-type="bibr" rid="B47">Montserrat et al., 2017</xref>; <xref ref-type="bibr" rid="B8">Cai and Jiao, 2022</xref>; <xref ref-type="bibr" rid="B21">Eisaman et al., 2023</xref>; <xref ref-type="bibr" rid="B30">Hartmann et al., 2023</xref>; <xref ref-type="bibr" rid="B65">Schulz et al., 2023</xref>; <xref ref-type="bibr" rid="B13">Cong et al., 2024</xref>; <xref ref-type="bibr" rid="B71">Suitner et al., 2024</xref>). These changes are greatest near the point of alkalinity-enhanced seawater discharge and are diluted until the signal is indistinguishable from baseline variations (<xref ref-type="bibr" rid="B42">Khangaonkar et al., 2024</xref>; <xref ref-type="bibr" rid="B31">Hashim et al., 2025</xref>). Over weeks to years, <italic>p</italic>CO<sub>2(sw)</sub> re-equilibrates&#x2014;or at least returns to values observed prior to alkalinity enhancement in regions where natural processes result in persistent disequilibria&#x2014;due to changes in the net exchange of CO<sub>2</sub> across the air-sea boundary. Under typical ocean conditions, OAE results in an increase of 0.7&#x2013;0.9&#xa0;mol of DIC per mole of alkalinity added to seawater, though this value depends on the efficiency of alkaline delivery and air-sea equilibration. That is, the increases may be less when alkaline feedstocks do not fully dissolve or are added in regions where, for example, density currents drive alkalinity-enhanced seawater out of contact with the atmosphere (<xref ref-type="bibr" rid="B24">Fennel et al., 2023</xref>; <xref ref-type="bibr" rid="B32">He and Tyka, 2023</xref>; <xref ref-type="bibr" rid="B34">Ho et al., 2023</xref>; <xref ref-type="bibr" rid="B80">Wang et al., 2023</xref>; <xref ref-type="bibr" rid="B42">Khangaonkar et al., 2024</xref>; <xref ref-type="bibr" rid="B62">Ringham et al., 2024</xref>; <xref ref-type="bibr" rid="B82">Yankovsky et al., 2024</xref>; <xref ref-type="bibr" rid="B85">Zhou et al., 2024</xref>; <xref ref-type="bibr" rid="B2">Anderson et al., 2025</xref>). However, even if the alkalinity-enhanced seawater is out of contact with the atmosphere, it may still be beneficial for ameliorating ocean acidification in subsurface waters where applicable (<xref ref-type="bibr" rid="B60">Renforth and Henderson, 2017</xref>; <xref ref-type="bibr" rid="B8">Cai and Jiao, 2022</xref>; <xref ref-type="bibr" rid="B53">Oschlies et al., 2023</xref>; <xref ref-type="bibr" rid="B6">Bednar&#x161;ek et al., 2025</xref>).</p>
<p>OAE is promising due to its potential scalability, the high durability of OAE CO<sub>2</sub> storage, and potential co-benefits, including the potential for local mitigation of seawater acidification (<xref ref-type="bibr" rid="B60">Renforth and Henderson, 2017</xref>; <xref ref-type="bibr" rid="B8">Cai and Jiao, 2022</xref>; <xref ref-type="bibr" rid="B53">Oschlies et al., 2023</xref>; <xref ref-type="bibr" rid="B6">Bednar&#x161;ek et al., 2025</xref>). For these reasons, and in response to the urgency of developing climate solutions, efforts are simultaneously underway to research, test, and commercialize OAE technologies (<xref ref-type="bibr" rid="B52">National Academies of Sciences and Medicine, 2022</xref>; <xref ref-type="bibr" rid="B54">Palter et al., 2023</xref>; <xref ref-type="bibr" rid="B11">Carbon to Sea Intiative, 2024</xref>; <xref ref-type="bibr" rid="B15">Cross et al., 2024</xref>; <xref ref-type="bibr" rid="B12">Carbon to Sea Intiative, 2025</xref>; <xref ref-type="bibr" rid="B35">ICES, 2025</xref>; <xref ref-type="bibr" rid="B75">Travis, 2025</xref>; <xref ref-type="bibr" rid="B83">Yao et al., 2025</xref>). This study describes the deployment of a demonstration electrochemical OAE system as part of a collaboration between private (Ebb Carbon, Inc.), academic (University of Washington), and federal (Pacific Northwest National Laboratory; NOAA Pacific Marine Environmental Laboratory) partners, resulting in the dispersal of electrochemically generated aqueous alkalinity through a wastewater treatment plant (WWTP) at the Pacific Northwest National Laboratory (PNNL) into Sequim Bay, Washington, United States. The research conducted in this study was part of the NOAA-funded project EASE-OA (Electrochemical Acid Sequestration to Ease Ocean Acidification), which has included multiple components to advance towards OAE field trials, including: 1) testing and development of Ebb Carbon&#x2019;s electrochemical system; 2) simulation of continuous aqueous alkalinity-enhanced seawater discharge into Sequim Bay (<xref ref-type="bibr" rid="B42">Khangaonkar et al., 2024</xref>); 3) evaluation of the impact of aqueous alkalinity on local ecologically important eelgrass epifauna (<xref ref-type="bibr" rid="B41">Jones et al., 2024</xref>); and 4) monitoring CO<sub>2</sub> uptake in mesocosm-scale ex-situ experiments of seawater treated with aqueous alkalinity.</p>
<p>Ebb Carbon&#x2019;s approach to OAE is to utilize bipolar membrane electrodialysis (BPMED) to generate aqueous alkalinity from seawater that then returns to the surface ocean, while simultaneously removing acid from seawater (<xref ref-type="bibr" rid="B20">Eisaman et al., 2012</xref>; <xref ref-type="bibr" rid="B19">Eisaman, 2024</xref>). The minimum potential for reaction of water dissociation through BPMED compared to electrolysis is lower, 0.83&#xa0;V versus 2.06&#xa0;V (<xref ref-type="bibr" rid="B20">Eisaman et al., 2012</xref>; <xref ref-type="bibr" rid="B21">Eisaman et al., 2023</xref>; <xref ref-type="bibr" rid="B43">Kulkarni et al., 2024</xref>). Therefore, BPMED is a lower energy method for alkalinity production and in turn less expensive, which makes it an economically appealing option for OAE based CO<sub>2</sub> removal (<xref ref-type="bibr" rid="B20">Eisaman et al., 2012</xref>; <xref ref-type="bibr" rid="B21">Eisaman et al., 2023</xref>; <xref ref-type="bibr" rid="B15">Cross et al., 2024</xref>). The Ebb Carbon BPMED system in this study, designed to remove 100&#xa0;t of atmospheric CO<sub>2</sub> yr<sup>-1</sup>, began operating at PNNL-Sequim in August 2023. This system processes seawater sourced from Sequim Bay through the PNNL-Sequim facility to generate hydrochloric acid (HCl), sodium hydroxide (NaOH), and brine streams (<xref ref-type="bibr" rid="B20">Eisaman et al., 2012</xref>; <xref ref-type="bibr" rid="B21">Eisaman et al., 2023</xref>; <xref ref-type="bibr" rid="B19">Eisaman, 2024</xref>). The HCl produced is 0.5&#x2013;1.0&#xa0;mol&#xa0;L<sup>-1</sup> and is utilized for PNNL-Sequim research focused on developing novel uses for the acid byproduct. While research is an efficient use of acid byproduct for a pilot scale BPMED implementation, the use for the larger quantities of HCl byproduct generated by scaled electrochemical OAE deployments is an active area of research. Potential use cases include algal cultivation, mineral extraction, and industrial applications (<xref ref-type="bibr" rid="B21">Eisaman et al., 2023</xref>; <xref ref-type="bibr" rid="B19">Eisaman, 2024</xref>; <xref ref-type="bibr" rid="B33">Hibbeln et al., 2024</xref>). The NaOH is mixed with the brine stream and remaining seawater for release back to the surface ocean. The enhanced alkalinity stream resulting from the Ebb Carbon system at PNNL-Sequim can vary in concentration from 0.2&#x2013;1.0&#xa0;mol&#xa0;L<sup>-1</sup> NaOH and a practical salinity between 20&#x2013;70. NaOH-based OAE research has been conducted in multiple laboratories (e.g., <xref ref-type="bibr" rid="B30">Hartmann et al., 2023</xref>; <xref ref-type="bibr" rid="B36">Iglesias-Rodr&#xed;guez et al., 2023</xref>; <xref ref-type="bibr" rid="B4">Bach et al., 2024</xref>; <xref ref-type="bibr" rid="B26">Ferderer et al., 2024</xref>; <xref ref-type="bibr" rid="B62">Ringham et al., 2024</xref>; <xref ref-type="bibr" rid="B7">Britton et al., 2025</xref>), and a limited number of completed or planned field studies (i.e., <xref ref-type="bibr" rid="B1">Albright et al., 2016</xref>; <xref ref-type="bibr" rid="B70">Subhas et al., 2024</xref>), typically using the addition of 0.5&#x2013;1&#xa0;mol&#xa0;L<sup>-1</sup> NaOH to raise seawater alkalinity.</p>
<p>While there is attention on the release of NaOH from ships for OAE research [i.e., LOC-NESS (Permit &#x23;EPA-HQ-MPRSA-2024&#x2013;002)], the primary delivery method for electrochemically generated aqueous alkalinity in commercial projects is point source dispersal through a coastal outfall (<xref ref-type="bibr" rid="B8">Cai and Jiao, 2022</xref>; <xref ref-type="bibr" rid="B13">Cong et al., 2024</xref>). Within the US, coastal outfalls are regulated under the Clean Water Act, which requires National Pollutant Discharge Elimination System (NPDES) permits. Permits are tailored to specific provisions to ensure that any given pollutant discharge does not harm water quality or human health. Coastal outfalls are typically designed such that a released effluent quickly mixes into the natural environment. The initial discharge may have requirements for specific conditions (such as a maximum pH or concentration limit) by the &#x2018;end-of-pipe&#x2019; before discharge into the natural environment or may include a mixing zone. A mixing zone is a regulatory concept used to specify a volume of receiving water centered on an outfall in which water quality standards may be temporarily exceeded, but by the edge of which the diluted effluent is indistinguishable from natural ambient conditions (EPA 820-B-14&#x2013;004). Release of aqueous alkalinity through existing NPDES-permitted coastal outfalls and within the specified permit limits may be sufficient for compliance with existing standards, allowing for some OAE research. PNNL-Sequim has an onsite WWTP that is permitted for the release of wastewater within pH<sub>NBS</sub> 6.0&#x2013;9.0 at &#x2018;end-of-pipe&#x2019;. The permit allows WWTP discharge of seawater that is either treated with only enough alkalinity to remain within this pH range or with additional alkalinity and then allowed to re-equilibrate with atmospheric CO<sub>2</sub> and return to this range. As of this study, only one NPDES permit has been granted for an mCDR-specific process, specifically that of Ebb Carbon&#x2019;s nearby Project Macoma pilot in Port Angeles, WA, which allows for routine discharge of alkalinity-enhanced seawater below pH<sub>NBS</sub> 9.8 into a defined mixing zone (Permit &#x23;WA0991051). There are advantages to constraining alkalinity additions below pH<sub>NBS</sub> 9.0, namely, adaptation to existing coastal outfalls permitted under this condition and limitations of concerns over environmental impacts and secondary precipitation. However, a lower pH maximum creates challenges for the release of aqueous alkalinity at increased scales, such as additional energy required to pump the seawater needed for dilution of the pH perturbation to the lower value or increased equipment and complexity required to pre-equilibrate alkalinity-enhanced seawater before release.</p>
<p>We released electrochemically generated aqueous alkalinity through the onsite WWTP at PNNL-Sequim into Sequim Bay, WA, in two experiments conducted in November 2024 and February 2025. Our first objective was to determine our ability to maintain, monitor, and deliver alkalinity-enhanced seawater through the multiple steps of the facility out to the outfall, and this objective was achieved. The second objective was to test our ability to detect the increased alkalinity from the outfall above ambient conditions, despite the upper pH<sub>NBS</sub> limit of 9.0 and the presence of high tidal currents in this study area. Monitoring OAE in tidally energetic regions can be difficult due to rapid mixing and dilution effects, as well as large natural variability in carbonate chemistry due to these tidal fluctuations (<xref ref-type="bibr" rid="B42">Khangaonkar et al., 2024</xref>). Herein, we describe: 1) experimental design and release of alkalinity through the WWTP; 2) monitoring capabilities throughout the facility and extending beyond the coastal outfall; 3) near-field modeling results to estimate the dilution of the pH signal from the outfall. This study represents the first proof-of-concept of using existing coastal outfalls for electrochemical OAE research.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Experimental design</title>
<p>PNNL-Sequim is located near the mouth of Sequim Bay, a semi-enclosed protected bay in the Salish Sea (<xref ref-type="fig" rid="F1">Figure 1</xref>). Sequim Bay is a small and relatively undisturbed watershed with depths ranging from 5&#x2013;30&#xa0;m. Travis spit runs across the front of the bay, which creates a shallow, high current environment (<xref ref-type="fig" rid="F1">Figure 1</xref>) (<xref ref-type="bibr" rid="B42">Khangaonkar et al., 2024</xref>). Average flow speeds are around 0.34&#xa0;m/s for the bay and are driven primarily by tidal exchange (<xref ref-type="bibr" rid="B29">Harding and Harker-Klimes, 2017</xref>; <xref ref-type="bibr" rid="B40">Jones et al., 2019</xref>). Average ranges for salinity and temperature of the bay are 30&#x2013;33 and 7&#xb0;C&#x2013;12.5&#xb0;C, respectively (<xref ref-type="bibr" rid="B40">Jones et al., 2019</xref>). Generally, Sequim Bay acts as a CO<sub>2</sub> sink in the summer and as a CO<sub>2</sub> source in the winter months (<xref ref-type="bibr" rid="B42">Khangaonkar et al., 2024</xref>). The reported range in pH<sub>NBS</sub> of Sequim Bay from Clallam County Environmental Health is from 7.2 to 8.3, with generally lower pH<sub>NBS</sub> values in late summer to winter and higher values in late winter to mid-summer, as recorded by sensor measurements outside of Sequim Bay State Park and Johnson Creek (<ext-link ext-link-type="uri" xlink:href="https://www.clallamcountywa.gov/1413/Trends-Monitoring-Data">https://www.clallamcountywa.gov/1413/Trends-Monitoring-Data</ext-link>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>
<bold>(A)</bold> Map of the greater Salish Sea region with a <bold>(B)</bold> focused view on our study region at PNNL at the mouth of Sequim Bay. The schematic in <bold>(C)</bold> details the steps of the alkaline feedstock dosing into seawater, followed by the flow through the facility, to the wastewater treatment plant at PNNL, and out the outfall into Sequim Bay. All pH values are indicated on the NBS scale.</p>
</caption>
<graphic xlink:href="fenve-04-1641277-g001.tif">
<alt-text content-type="machine-generated">Map, satellite image, and diagram illustrating wastewater treatment. Panel (A) shows a map of the Salish Sea near Vancouver Island and Washington with a black box around the study area, Sequim Bay. Panel (B) displays a satellite view of Sequim Bay and the location of the PNNL facility. Panel (C) outlines a wastewater treatment system from a wet lab to an outdoor plant, detailing alkalinity sources, mixing tanks, pumps, GW cells, and the final outfall to Sequim Bay, with pH monitoring specifications at each location.</alt-text>
</graphic>
</fig>
<p>PNNL-Sequim facilities pump raw and filtered (40&#xa0;&#xb5;m) seawater from Sequim Bay and provide a filtered seawater source for Ebb Carbon&#x2019;s BPMED system installed on site to generate aqueous alkalinity as described in <xref ref-type="sec" rid="s2-2">Section 2.2</xref>. The facility uses four &#x223c;26,000&#xa0;L groundwater holding cells (GW cells) to store and transfer wastewater from laboratories to the onsite wastewater treatment plant (WWTP). Wastewater from the WWTP is then pumped into Sequim Bay through a coastal outfall (<xref ref-type="fig" rid="F1">Figure 1</xref>). GW Cells 1 and 2 receive wastewater from non-hazardous use of laboratory sink drains as well as specific drains in the facility&#x2019;s wet labs that use both fresh and seawater for a variety of experiments. GW Cell 2 is ultimately what gets pumped through the WWTP to Sequim Bay and can be either connected to or isolated from Cell 1. During the experiment pH was tightly controlled by isolating GW Cell 2, while the entire campus&#x2019; wastewater generation that was unrelated to this test was directed to GW Cell 1. GW Cells 3 and 4 serve as additional isolation cells that can receive wastewater from specific wet lab drains in isolation from Cells 1 and 2 (as denoted by the red x in <xref ref-type="fig" rid="F1">Figure 1</xref>). Water drained into Cells 3 and 4 is not automatically discharged to the bay until it is manually pumped into Cell 2. During the experiments, GW Cell 3 was continually filled with alkalized seawater and then transferred to GW Cell 2 after confirming permit compliance. Cell 4 remained empty, serving as a fail-safe should any abnormalities occur. This design facilitated the monitoring of pH throughout the facility to ensure pH levels were in compliance prior to discharge.</p>
<p>Downstream of GW Cell 2, the WWTP effluent is processed with various filters and treatments before discharge. In order, these include: a bag filter, UV treatment, a granulated activated carbon (GAC) filter, a second bag filter, and finally a second-stage UV treatment. The design of this WWTP is not intended to treat water for pH adjustment in these final filtration steps. However, it is possible that pH will decrease slightly as it travels through the final components of the system due to continued equilibration with air. However, this decrease is likely minimal compared to equilibration that occurs when moving water between the groundwater cells. The GW cells are open to the atmosphere and the water is substantially bubbled when pumped between each cell like a waterfall, which is why they are continuously monitored throughout the experiment. The filter system is not open to the atmosphere like the GW&#xa0;cells. This system, which typically discharges &#x223c;40,000&#xa0;L&#xa0;d<sup>-1</sup> to Sequim Bay depending on lab use, was leveraged for the ability to precisely monitor water quality, particularly pH, between groundwater holding cells. This allows for the release of alkalinity-enhanced seawater with minimal risk of approaching regulatory water quality limits for this site. The outfall (Sequim Bay Outfall 008) is a 20&#xa0;cm flanged pinch valve located &#x223c;5&#x2013;8&#xa0;m below the water&#x2019;s surface within &#x223c;40&#xa0;m of the seawall near the laboratory (48&#xb0; 4&#x2032;43.00&#x2033;N, 123&#xb0; 2&#x2032;42.00&#x2033;W) (<xref ref-type="fig" rid="F1">Figure 1</xref>). However, the depth and distance from shore can vary based on high or low tide conditions, as this site has a &#x223c;3&#xa0;m tidal range.</p>
<p>November and February were chosen for these initial trials for two reasons. First, natural variability of pCO<sub>2</sub> and pH in Sequim Bay is substantially lower in winter months compared to summer, making our odds of detecting the alkaline discharge higher in the winter (<xref ref-type="bibr" rid="B22">Evans et al., 2019</xref>). Second, the presence of juvenile salmon in nearshore areas peaks in the summer (<xref ref-type="bibr" rid="B77">US EPA, 2021</xref>). As we were initially uncertain how far the plume would extend, we conducted our preliminary experiments during a time of year when this sensitive endangered species was unlikely to be present. Over the course of 1&#xa0;day each during two discrete alkalinity enhancement experiments on 7 November 2024, and 7 February 2025, aqueous alkalinity was continually mixed into a &#x223c;6800&#xa0;L flow-through seawater mixing tank, raising seawater pH<sub>NBS</sub> from ambient conditions (7.5&#x2013;7.7; <xref ref-type="table" rid="T1">Tables 1</xref>, <xref ref-type="table" rid="T2">2</xref>) to &#x3c;9.0. The alkalinity-enhanced seawater was then delivered to an intermediate isolation tank through a combination of gravity feeding and pumping. From this tank, it was actively pumped to GW Cells 3 and then 2 before reaching the WWTP to be discharged through Sequim Bay Outfall 008. Discharged effluent from this process was continuously monitored within the mixing tank, GW Cells 3 and 2, at the coastal outfall, and from a nearby pier, as described in <xref ref-type="sec" rid="s2-2">Sections 2.2</xref>, <xref ref-type="sec" rid="s2-3">2.3</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Water chemistry parameters during November field trial.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Location</th>
<th align="left">Temp (&#xb0;C)<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th align="left">Salinity<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th align="left">pH<sub>NBS</sub>
<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th align="left">
<italic>p</italic>CO<sub>2</sub> (&#x3bc;atm)<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th align="left">TA (&#xb5;mol/kg)<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</th>
<th align="left">DIC (&#xb5;mol/kg)<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</th>
<th align="left">pH<sub>T</sub>
<xref ref-type="table-fn" rid="Tfn3">
<sup>c</sup>
</xref>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Baseline seawater</td>
<td align="left">9.8&#x2013;9.9</td>
<td align="left">31.9&#x2013;32.0</td>
<td align="left">7.5&#x2013;7.6</td>
<td align="left">772&#x2013;796</td>
<td align="left">2,169&#x2013;2,185 (n &#x3d; 8)</td>
<td align="left">2,103&#x2013;2,130 (n &#x3d; 8)</td>
<td align="left">7.7&#x2013;7.8 (n &#x3d; 8)</td>
</tr>
<tr>
<td align="left">Mixing Tank</td>
<td align="left">9.9&#x2013;10.2</td>
<td align="left">30.1&#x2013;30.3</td>
<td align="left">8.9</td>
<td align="left">70&#x2013;110</td>
<td align="left">2,983&#x2013;3,099 (n &#x3d; 6)</td>
<td align="left">2,133&#x2013;2,149 (n &#x3d; 6)</td>
<td align="left">8.8&#x2013;8.9 (n &#x3d; 6)</td>
</tr>
<tr>
<td align="left">GW Cell 3</td>
<td align="left">10.2&#x2013;10.5</td>
<td align="left">29.1&#x2013;30.0</td>
<td align="left">8.9</td>
<td align="left">ND</td>
<td align="left">2,868 (n &#x3d; 1)</td>
<td align="left">2,170 (n &#x3d; 1)</td>
<td align="left">8.8 (n &#x3d; 1)</td>
</tr>
<tr>
<td align="left">GW Cell 2</td>
<td align="left">10.3&#x2013;10.7</td>
<td align="left">29.0&#x2013;29.1</td>
<td align="left">8.5</td>
<td align="left">ND</td>
<td align="left">2,750 (n &#x3d; 1)</td>
<td align="left">2,190 (n &#x3d; 1)</td>
<td align="left">8.6 (n &#x3d; 1)</td>
</tr>
<tr>
<td align="left">Outfall</td>
<td align="left">9.3&#x2013;9.7</td>
<td align="left">28.9&#x2013;29.2</td>
<td align="left">7.8</td>
<td align="left">600&#x2013;1,150</td>
<td align="left">ND</td>
<td align="left">ND</td>
<td align="left">ND</td>
</tr>
<tr>
<td align="left">Pier</td>
<td align="left">9.3&#x2013;9.6</td>
<td align="left">28.9&#x2013;29.2</td>
<td align="left">7.8&#x2013;7.9</td>
<td align="left">ND</td>
<td align="left">ND</td>
<td align="left">ND</td>
<td align="left">ND</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>Measured via sensors.</p>
</fn>
<fn id="Tfn2">
<label>
<sup>b</sup>
</label>
<p>Discretely analyzed from bottle samples.</p>
</fn>
<fn id="Tfn3">
<label>
<sup>c</sup>
</label>
<p>Calculated in CO2SYS, from bottle sample data. ND &#x003D; no data; n &#x3d; number of samples collected; baseline seawater measured from raw seawater intake at PNNL using a Burke-O-Lator and bottle samples.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Water chemistry parameters during February field trial.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Location</th>
<th align="left">Temp (&#xb0;C)<xref ref-type="table-fn" rid="Tfn4">
<sup>a</sup>
</xref>
</th>
<th align="left">Salinity<xref ref-type="table-fn" rid="Tfn4">
<sup>a</sup>
</xref>
</th>
<th align="left">pH<sub>NBS</sub>
<xref ref-type="table-fn" rid="Tfn4">
<sup>a</sup>
</xref>
</th>
<th align="left">
<italic>p</italic>CO<sub>2</sub> (&#x3bc;atm)<xref ref-type="table-fn" rid="Tfn4">
<sup>a</sup>
</xref>
</th>
<th align="left">TA (&#xb5;mol/kg)<xref ref-type="table-fn" rid="Tfn5">
<sup>b</sup>
</xref>
</th>
<th align="left">DIC (&#xb5;mol/kg)<xref ref-type="table-fn" rid="Tfn5">
<sup>b</sup>
</xref>
</th>
<th align="left">pH<sub>T</sub>
<xref ref-type="table-fn" rid="Tfn6">
<sup>c</sup>
</xref>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Baseline seawater</td>
<td align="left">7.3&#x2013;7.9</td>
<td align="left">31.3&#x2013;31.5</td>
<td align="left">7.6&#x2013;7.7</td>
<td align="left">ND</td>
<td align="left">2,150&#x2013;2,156 (n &#x3d; 6)</td>
<td align="left">2089&#x2013;2098 (n &#x3d; 6)</td>
<td align="left">7.8 (n &#x3d; 6)</td>
</tr>
<tr>
<td align="left">Mixing Tank</td>
<td align="left">6.9&#x2013;7.2</td>
<td align="left">30.9&#x2013;31.0</td>
<td align="left">8.9&#x2013;9.1</td>
<td align="left">35&#x2013;52</td>
<td align="left">3,212&#x2013;3,314 (n &#x3d; 6)</td>
<td align="left">2095&#x2013;2,135 (n &#x3d; 6)</td>
<td align="left">9.1&#x2013;9.2 (n &#x3d; 6)</td>
</tr>
<tr>
<td align="left">GW Cell 3</td>
<td align="left">6.5&#x2013;7.2</td>
<td align="left">30.1&#x2013;31.1</td>
<td align="left">9.0</td>
<td align="left">ND</td>
<td align="left">3,191&#x2013;3,279 (n &#x3d; 3)</td>
<td align="left">2,126&#x2013;2,155 (n &#x3d; 3)</td>
<td align="left">9.1&#x2013;9.2 (n &#x3d; 3)</td>
</tr>
<tr>
<td align="left">GW Cell 2</td>
<td align="left">6.9&#x2013;7.8</td>
<td align="left">31.8&#x2013;32.0</td>
<td align="left">8.6&#x2013;8.9</td>
<td align="left">ND</td>
<td align="left">2,899&#x2013;3,194 (n &#x3d; 4)</td>
<td align="left">2,127&#x2013;2,145 (n &#x3d; 4)</td>
<td align="left">8.8&#x2013;9.0 (n &#x3d; 4)</td>
</tr>
<tr>
<td align="left">Outfall</td>
<td align="left">6.7&#x2013;8.1</td>
<td align="left">31.0&#x2013;31.5</td>
<td align="left">7.5&#x2013;8.3</td>
<td align="left">464&#x2013;875</td>
<td align="left">ND</td>
<td align="left">ND</td>
<td align="left">ND</td>
</tr>
<tr>
<td align="left">Pier</td>
<td align="left">6.7&#x2013;7.6</td>
<td align="left">31.3&#x2013;31.8</td>
<td align="left">7.9&#x2013;8.0</td>
<td align="left">ND</td>
<td align="left">2,154&#x2013;2,155 (n &#x3d; 3)</td>
<td align="left">2089&#x2013;2095 (n &#x3d; 3)</td>
<td align="left">7.8 (n &#x3d; 3)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn4">
<label>
<sup>a</sup>
</label>
<p>Measured via sensors.</p>
</fn>
<fn id="Tfn5">
<label>
<sup>b</sup>
</label>
<p>Discretely analyzed from bottle samples.</p>
</fn>
<fn id="Tfn6">
<label>
<sup>c</sup>
</label>
<p>Calculated in CO2SYS, from bottle sample data. ND &#x3d; no data; n &#x3d; number of samples collected; baseline seawater measured from raw seawater intake at PNNL using a Burke-O-Lator and bottle samples.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2-2">
<title>2.2 Alkalinity generation</title>
<p>Alkalinity was generated using filtered Sequim Bay seawater processed through an Ebb Carbon BPMED system (<xref ref-type="fig" rid="F2">Figure 2</xref>) (<xref ref-type="bibr" rid="B21">Eisaman et al., 2023</xref>; <xref ref-type="bibr" rid="B19">Eisaman, 2024</xref>; <xref ref-type="bibr" rid="B42">Khangaonkar et al., 2024</xref>). The process consists of seawater treatment with operations representative of a commercial desalination plant. The seawater passes through mixed media filters, including granulated activated carbon (GAC) and sand filters. The water is then treated with nanofiltration (NF) to separate divalent ions (magnesium (Mg<sup>2&#x2b;</sup>), calcium (Ca<sup>2&#x2b;</sup>)), creating a permeate and concentrate stream. The NF concentrate goes to the lab drain, and the NF permeate continues in the process. This water then undergoes reverse osmosis (RO), which creates a brine concentrate and RO permeate feed. Both of these streams feed the BPMED process and while pH can vary during this process, it generally remains near ambient seawater conditions (&#x223c;7&#x2013;8). Within the BPMED process, sodium chloride (NaCl) and water (H<sub>2</sub>O) are dissociated to form HCl (0.5&#x2013;1.0&#xa0;mol&#xa0;L<sup>-1</sup>) and NaOH (0.5&#x2013;0.75&#xa0;mol&#xa0;L<sup>-1</sup>). The product streams are stored for use in mesocosm experiments, for neutralization discharged through the PNNL-Sequim WWTP, or further research on productive uses for low-carbon acid. For the alkalinity-enhanced seawater discharges in November 2024 and February 2025, the BPMED system generated approximately 1,000&#xa0;L of acid and 1,000&#xa0;L of base during the month leading up to each experiment. The acid and base were stored in closed 1,000&#xa0;L intermediate bulk containers (IBC) until the beginning of each alkalinity-enhanced seawater discharge.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Schematic of Ebb Carbon processing steps for producing the aqueous alkaline feedstock, including pretreatment operations representative of those used in commercial desalination.</p>
</caption>
<graphic xlink:href="fenve-04-1641277-g002.tif">
<alt-text content-type="machine-generated">Flowchart illustrating seawater treatment. Starting with facility intake, moving to mixed media filters, nano filtration, and reverse osmosis. Followed by bipolar electrodialysis, fluid storage, and directing alkaline product for lab acid usage. Ends at a mixing tank, then to a wastewater treatment plant (WWTP), and finally to outfall. Arrows indicate the process flow.</alt-text>
</graphic>
</fig>
<p>During the November 2024 discharge, base product was dispersed evenly over time to the mixing tank and mixed with seawater (<xref ref-type="fig" rid="F3">Figure 3</xref>). A total of 50&#xa0;L of base product (0.8&#xa0;mol&#xa0;L<sup>-1</sup>) was mixed into seawater in the mixing tank and subsequently released through the WWTP and outfall over 40&#xa0;min (15:53&#x2013;16:33) at a rate of &#x223c;655&#xa0;L&#xa0;min<sup>-1</sup>, resulting in a total release of &#x223c;26,200&#xa0;L of alkalinity-enhanced seawater (<xref ref-type="fig" rid="F3">Figure 3</xref>; <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>). During the February 2025 discharge, the base was introduced to the mixing tank with seawater prior to the discharge and then continuously through the experiment to maintain a 9.0 pH in the mixing tank. A total of 381&#xa0;L of base product (0.66&#xa0;mol&#xa0;L<sup>-1</sup> NaOH) was mixed into seawater in the mixing tank and subsequently released through the WWTP and outfall over four separate pulses that all occurred on February 7 between 9:20 to 17:06 (<xref ref-type="fig" rid="F3">Figure 3</xref>; <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>). All pulses discharged at a rate of around 656&#xa0;L&#xa0;min<sup>-1</sup>. Total volume of seawater discharged and time for each pulse were: 59,000&#xa0;L from 9:20&#x2013;10:50 (90&#xa0;min), 52,200&#xa0;L from 11:50&#x2013;13:10 (80&#xa0;min), 43,200&#xa0;L from 14:09&#x2013;15:15 (66&#xa0;min), and 26,000&#xa0;L from 16:26&#x2013;17:06 (40&#xa0;min) (<xref ref-type="fig" rid="F3">Figure 3</xref>; <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>). The total volume for the release in February was &#x223c;180,300&#xa0;L over 276&#xa0;min of total release time (<xref ref-type="sec" rid="s11">Supplementary Table S1</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Volume (L) of alkalinity feedstock used for <bold>(A)</bold> November and <bold>(B)</bold> February trials. Volume (L) of alkalinity-enhanced seawater discharged into the Bay in <bold>(C)</bold> November and <bold>(D)</bold> February trials.</p>
</caption>
<graphic xlink:href="fenve-04-1641277-g003.tif">
<alt-text content-type="machine-generated">Four graphs show alkalinity volumes dispensed and volumes discharged over time for November 2024 and February 2025. Graphs (A) and (B) depict alkalinity volumes, while (C) and (D) display discharged volumes. Blue bars represent specific measurements, with cumulative volumes in red lines. Graph (A) shows gradual increases, (B) shows sharp increases, (C) is concentrated later in the period, and (D) shows multiple increases.</alt-text>
</graphic>
</fig>
<p>The variable length in pulses between November and February were due to a couple different variables. The 40-min pulse in November is the length of time it takes to pump out GW Cell 2 when we&#x2019;re not constantly filling it (i.e., in November we just filled it up once and turned off our mixing tank). November was limited to one pulse as this was a targeted pilot experiment to assess operational control and detectability at the outfall. This trial indicated the output of alkalinity-enhanced seawater was constrained by rates of draining the mixing tank (gravity fed) and filling the tank with raw seawater to mix with base product. To increase these rates for the February trial, pumps were added to drain the mixing tank (no longer gravity fed, see <xref ref-type="fig" rid="F1">Figure 1</xref>) and we modified the wet lab plumbing to increase the rate of raw seawater input. These modifications enabled the larger scale release in February. Additionally, the successful demonstration of permit compliance in November and the limited environmental detectability of the signal provided further assurance that a larger scale release was merited. The variable pulse lengths in February are from constantly refilling GW Cell 2, while still discharging from it. The first pulse was the longest because we had the highest water pressure for the seawater intake earliest in the day. Throughout the day, our water pressure for the seawater intake decreased so we could not fill GW Cell 2 as quickly later in the day. For the final pulse, we turned off the water completely so it was more or less identical to November&#x2019;s pulse length.</p>
</sec>
<sec id="s2-3">
<title>2.3 Monitoring and data processing</title>
<p>Throughout the system, physical and chemical parameters were measured to 1) assess pH of the alkaline seawater solution while moving through the wastewater treatment system, ensuring compliance with permitted WWTP discharge; and 2) evaluate the ability to identify and monitor the alkaline release in the natural environment at the outfall and nearby pier.</p>
<p>Continuous measurements of salinity and temperature of the baseline seawater conditions were made using a MultiLab IDS 4310 YSI probe on a Burke-O-Lator system that analyzes seawater from the raw intake line (<xref ref-type="bibr" rid="B10">Campbell et al., 2023</xref>). The addition of aqueous alkalinity to flow-through seawater in the mixing tank was monitored during both the November 2024 and February 2025 experiments by measuring the time and rate of flow as base was pumped from the storage IBC into the mixing tank. The mixing tank was equipped with an ASVCO<sub>2</sub> system to record the mole fraction of CO<sub>2</sub> every 30&#xa0;min, which is the minimum processing time between samples (<xref ref-type="bibr" rid="B73">Sutton et al., 2014</xref>). The mole fraction of CO<sub>2</sub> was then used to calculate pCO<sub>2</sub> for the mixing tank during the experiment (<xref ref-type="bibr" rid="B73">Sutton et al., 2014</xref>). YSI Pro DSS sondes were deployed to monitor seawater temperature, salinity, turbidity, dissolved oxygen (DO), and pH<sub>NBS</sub> every minute within- 1) the flow-through mixing tank; 2) GW Cell 3; and 3) GW Cell 2. YSI Exo 2 sondes were deployed to monitor seawater temperature, salinity, turbidity, dissolved oxygen (DO), and pH<sub>NBS</sub> every minute at two locations- 1) on a cage deployed by divers immediately in front of the WWTP outfall and 2) hanging at 2&#xa0;m depth from the pier, &#x223c;70&#xa0;m away from the outfall (November only) (<xref ref-type="fig" rid="F1">Figures 1</xref>, <xref ref-type="fig" rid="F3">3</xref>). A Seabird Hydrocat EP-V2 was deployed from the pier in February instead of a YSI Exo2 sonde and collected measurements every 3&#xa0;min on the first day and then every 10&#xa0;min on the following days to ensure battery life for the experiment. We acquired and utilized the Seabird Hydrocat EP-V2 in February because it has higher accuracy than that of the YSI Exo2. A Sunburst SAMI-CO<sub>2</sub> sensor was deployed at the outfall during both the November and February experiments, which collected data every hour in November and every 30&#xa0;min in February for higher resolution (<xref ref-type="bibr" rid="B16">DeGrandpre et al., 1995</xref>; <xref ref-type="bibr" rid="B44">Lai et al., 2018</xref>). A SAMI-pH sensor was added to the outfall cage and the pier station for the February 2025 experiment and collected data every 15&#xa0;min (<xref ref-type="bibr" rid="B66">Seidel et al., 2008</xref>; <xref ref-type="bibr" rid="B44">Lai et al., 2018</xref>). The SAMI-pHs were added for February in part to get high accuracy pH readings that the YSI Exo2 sondes are not capable of. Secondly, we adjusted our experimental design to add SAMI pHs since we had difficulty detecting a signal in November&#x2019;s field trial. The SAMI CO<sub>2</sub> and SAMI pH have a minimum sample collection period of 15&#xa0;min due to sample processing and response times, which is why they collected samples less frequently than the sondes. The range in salinity, temperature, pH<sub>NBS</sub>, pCO<sub>2</sub>, as recorded by the sensors is included in <xref ref-type="table" rid="T1">Tables 1</xref>, <xref ref-type="table" rid="T2">2</xref>. The range in pH<sub>NBS</sub> data reported at the outfall includes data from both the YSI Exo2 and SAMI pH. The details for the instuments utilized, their deployment locations, and sampling intervals for the November and February field trials are reiterated in <xref ref-type="sec" rid="s11">Supplementary Tables S2</xref>, <xref ref-type="sec" rid="s11">S3</xref>.</p>
<p>The YSI sondes were calibrated using Orion pH<sub>NBS</sub> 4.01, 7, and 10.01 buffers. The YSI Exo2 sondes deployed at the outfall were calibrated 6 days in advance of the November alkaline release and within 24&#xa0;h of deployment before the February release, while the Pro DSS sondes were calibrated the day of the alkalinity release. The YSI Exo2 sonde was calibrated in further advance in November&#x2019;s field trial due to diver availability for deployment of the sensors near the outfall. It remained off underwater until it was programmed to collect data, similar to the SAMIs. All YSI sondes measured pH at &#xb1; 0.1 accuracy and &#xb1;0.01 resolution. The Seabird Hydrocat EP-V2 was calibrated for pH immediately before deployment at the pier using 3 colorless NBS buffers (4.01, 7.0, 10.01). This sensor had an estimated accuracy of &#xb1;0.1 and a resolution of 0.01 units. The SAMI-CO<sub>2</sub> and SAMI-pH sensors were calibrated annually following manufacturer recommendations by Sunburst Sensors. The SAMI-CO<sub>2</sub> collected measurements at an estimated accuracy of &#xb1;3&#xa0;&#xb5;atm and precision of 1&#xa0;&#xb5;atm. The SAMI-pH sensors collected measurements at an accuracy of &#xb1;0.003 units and precision of 0.001 (in total scale). SAMI-pH data was processed using salinity data from the sondes deployed alongside them using the QC_pH program from Sunburst Sensors. YSI sondes and Seabird Hydrocat EP-V2 sensors output pH on the NBS scale by default. SAMI-pH data is on the total scale, therefore these values were input to CO2SYS to convert them to the NBS scale for comparison with the other sensors (<xref ref-type="bibr" rid="B68">Sharp et al., 2020</xref>). On average, the pH was 0.10 (&#xb1;&#x3c;0.001) higher on the NBS scale than on the total scale for our seawater conditions based on the calculations from CO2SYS of the sensor measurements. We used individually calculated CO2SYS values for every measurement instead of an average offset as this value can vary slightly based on a number of factors.</p>
<p>Along with these sensors, discrete water samples for dissolved inorganic carbon (DIC) and total alkalinity (TA) analysis were periodically collected from the raw seawater line and mixing tank from beginning to end of the experiment following standard methods outlined in <xref ref-type="bibr" rid="B18">Dickson et al. (2007)</xref>. There were also discrete samples occasionally collected from GW Cell 2, GW Cell 3, and the pier following the same methods during the discharge periods only. No samples were collected at the outfall since it was not accessible for grab samples using the same methods. We did not expect or observe any secondary precipitation of carbonate minerals during this study, either in the mixing tank where the base product is first mixed with seawater or at the outfall, due to the low pH limits and rapid dilution of the alkaline product by seawater (<xref ref-type="bibr" rid="B62">Ringham et al., 2024</xref>; <xref ref-type="bibr" rid="B71">Suitner et al., 2024</xref>). While it is common for brucite to form under initial addition of base product, it often redissolves quickly with mixing as long as thresholds for &#x201c;runaway precipitation&#x201d; are not exceeded (<xref ref-type="bibr" rid="B48">Moras et al., 2022</xref>; <xref ref-type="bibr" rid="B62">Ringham et al., 2024</xref>; <xref ref-type="bibr" rid="B71">Suitner et al., 2024</xref>; <xref ref-type="bibr" rid="B72">Suitner et al., 2025</xref>). We ensured the solution was well mixed in the mixing tank before passing to any of the GW Cells. DIC was analyzed on an Apollo SciTech Dissolved Inorganic Carbon Analyzer (Model: AS-C6L), and TA was analyzed on an Apollo SciTech Total Alkalinity Titrator (AS-ALK3), referenced against certified reference materials (CRMs) supplied by the Dickson laboratory at Scripps Institution of Oceanography. The precision based on the repeated measurement of CRMs during sample analysis for TA and DIC was determined to be &#xb1;1&#xa0;&#x3bc;mol&#xa0;kg<sup>-1</sup> for both parameters.</p>
<p>Carbonate chemistry, including pH, was calculated from these DIC and TA samples using the MATLAB version of CO2SYS (<xref ref-type="bibr" rid="B68">Sharp et al., 2020</xref>). The pH was calculated from DIC and TA sample data in both NBS and total scale, as total scale is the standard for oceanographic research and sample data reporting, using K<sub>1</sub> and K<sub>2</sub> dissociation constants from <xref ref-type="bibr" rid="B46">Lueker et al. (2000)</xref>, which is more optimal for pH<sub>T</sub>, and <xref ref-type="bibr" rid="B9">Cai et al. (1998)</xref>, which is more optimal for pH<sub>NBS</sub>. The average offset from discrete samples analyzed using CO2SYS was also 0.10 (&#xb1;0.003) when using either the set of K<sub>1</sub> and K<sub>2</sub> dissociation constants at the range of temperatures and salinities in this study. Since pH<sub>T</sub> is standard for oceanographic samples, it is reported in <xref ref-type="table" rid="T1">Table 1</xref> with values calculated from the <xref ref-type="bibr" rid="B46">Lueker et al. (2000)</xref> constants. Other constants remained the same for both calculations which include the KSO<sub>4</sub> dissociation constant from <xref ref-type="bibr" rid="B17">Dickson (1990)</xref>, KF dissociation constant from <xref ref-type="bibr" rid="B58">Perez and Fraga (1987)</xref>, and borate-to-salinity ratio from <xref ref-type="bibr" rid="B45">Lee et al. (2010)</xref>. Organic alkalinity was estimated using the DIC values from the pier discrete samples in February (n &#x3d; 3) and pH sensor data from the SAMI pH using methods from <xref ref-type="bibr" rid="B23">Fassbender et al. (2017)</xref>. We note that for the ocean acidification community, this is referred to as excess alkalinity as opposed to organic alkalinity when the functional groups are uncharacterized (<xref ref-type="bibr" rid="B67">Sharp and Byrne, 2021</xref>). However, in the OAE community, excess alkalinity can refer to alkalinity delivered above biogeochemical thresholds for secondary, abiotic precipitation and thus, we will use &#x201c;organic alkalinity&#x201d; to avoid confusion. Based on this very limited sample set, organic alkalinity seems to have a very small impact (2.7&#xa0;&#x3bc;mol&#xa0;kg<sup>-1</sup> &#xb1; 1.7&#xa0;&#x3bc;mol&#xa0;kg<sup>-1</sup>) on the total alkalinity for this study. All figures (except <xref ref-type="fig" rid="F8">Figure 8</xref> which is detailed in the next section) were generated using Google Earth (<xref ref-type="fig" rid="F1">Figure 1</xref>), Canva (<xref ref-type="fig" rid="F1">Figures 1</xref>, <xref ref-type="fig" rid="F2">2</xref>, <xref ref-type="fig" rid="F4">4</xref>), and MATLAB (<xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F5">5</xref>&#x2013;<xref ref-type="fig" rid="F7">7</xref>, <xref ref-type="sec" rid="s11">Supplementary Figures S1-S11</xref>), utilizing the CO2SYS (<xref ref-type="bibr" rid="B68">Sharp et al., 2020</xref>), M_Map (<xref ref-type="bibr" rid="B57">Pawlowicz, 2020</xref>), QC_pH (Sunburst Sensors), and cmocean (<xref ref-type="bibr" rid="B74">Thyng et al., 2016</xref>) packages in MATLAB. Outlier filtering was done using the &#x201c;isoutlier&#x201d; function in MATLAB for the sonde seawater salinity and temperature data. Additional parameters that may be of interest are included in the supplementary figures, which include temperature, salinity, pH<sub>NBS</sub>, turbidity, dissolved oxygen, and pCO<sub>2</sub> (when measured) for each step along the WWTP (<xref ref-type="sec" rid="s11">Supplementary Figures S2-S11</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>
<bold>(A)</bold> Mixing tank equipped with sensors for continuous monitoring. <bold>(B)</bold> Outdoor wastewater treatment plant tanks. <bold>(C)</bold> Location of sensors for continuous measurement of water at the outfall and the nearby pier. <bold>(D)</bold> <italic>In situ</italic> photos of the sensors deployed on the outfall during the February 2025 alkalinity release.</p>
</caption>
<graphic xlink:href="fenve-04-1641277-g004.tif">
<alt-text content-type="machine-generated">(A) Laboratory setting with a large tank and various equipment. (B) Outdoor view of a coastal facility with waste water treatment tanks and ocean in the background. (C) Aerial image showing locations of pier and outfall sensors near the shoreline. (D) Underwater scene with sensors mounted on a metal frame near a coastal outfall pipe.</alt-text>
</graphic>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>pH<sub>NBS</sub> data collected on the day of the November field trial across the <bold>(A)</bold> mixing tank, <bold>(B)</bold> GW Cell 3, <bold>(C)</bold> GW Cell 2, <bold>(D)</bold> Outfall, and <bold>(E)</bold> Pier. Lighter color points are lower pH, while darker colors indicate higher pH. Gray shading indicates the measurement uncertainty associated with each parameter. Blue boxes indicate the periods where alkalinity was discharged into Sequim Bay.</p>
</caption>
<graphic xlink:href="fenve-04-1641277-g005.tif">
<alt-text content-type="machine-generated">Line graphs showing pH levels in different system components on November 7, 2024. Graphs A through E represent the Mixing Tank, GW Cell3, GW Cell2, Outfall, and Pier, respectively. Mixing Tank shows stable pH near 8.9. GW Cell3 has a gradual increase from 8.0 to 8.7. GW Cell2 shows constant pH at 7.5, then a rise to about 8.0. Outfall and Pier maintain consistent pH around 7.6 with slight fluctuations. The shaded area indicates the standard deviation.</alt-text>
</graphic>
</fig>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>pH<sub>NBS</sub> data collected on the day of the February field trial across the <bold>(A)</bold> mixing tank, <bold>(B)</bold> GW Cell 3, <bold>(C)</bold> GW Cell 2, <bold>(D)</bold> Outfall, and <bold>(E)</bold> Pier. Circles indicate data collected by the sondes or the Hydrocat at the pier. Squares are data collected from the SAMI pHs. Lighter color points are lower pH, while darker colors indicate higher pH. Gray shading indicates the error associated with each parameter. Blue boxes indicate the periods where alkalinity was discharged into the Bay.</p>
</caption>
<graphic xlink:href="fenve-04-1641277-g006.tif">
<alt-text content-type="machine-generated">Five line graphs depict pH levels across different system locations on February 7, 2025. Graph A shows the Mixing Tank with pH around 9.0. Graph B, GW Cell3, is stable at near 9.0. Graph C, GW Cell2, shows a gradual rise towards 8.5. Graph D, Outfall, displays fluctuating pH between 8.0 and 8.5 using sonde and SAMI pH data. Graph E, Pier, shows a consistent pH at about 8.0 between both Hydrocat and SAMI pH data Shaded areas indicate standard deviation of the measurements.</alt-text>
</graphic>
</fig>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Data collected before, during, and after the February alkalinity release at the Outfall (left) and Pier (right) for Temperature <bold>(A,B)</bold>, salinity <bold>(C,D)</bold>, and pH<sub>NBS</sub> <bold>(E,F)</bold>. Blue boxes indicate periods where alkalinity was discharged into Sequim Bay. Red boxes indicate the release of wastewater from the PNNL WWTP under normal operation (i.e., not related to these alkalinity release experiments).</p>
</caption>
<graphic xlink:href="fenve-04-1641277-g007.tif">
<alt-text content-type="machine-generated">Graphs display time series data from February 6 to February 11, 2025. Panels A and B show temperature changes for outfall and pier data, respectively. Panels C and D depict salinity changes for the two locations. Panels E and F present pH levels with data from different instruments. Red vertical bars indicate regular facility outfall releases and blue vertical bars represent the enhanced alkalinity seawater release periods.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2-4">
<title>2.4 Near-field modeling</title>
<p>In the immediate vicinity of the outfall, the plume dynamics of the discharged water are primarily governed by the flow momentum and buoyancy. The plume undergoes intense turbulent mixing while interacting with the surrounding ambient currents during this initial phase, which is called the near-field or zone of initial dilution (<xref ref-type="bibr" rid="B63">Roberts, 1990</xref>; <xref ref-type="bibr" rid="B5">Baumgartner et al., 1994</xref>). It is challenging to capture/characterize the near-field of a plume using grid-based hydrodynamic circulation models due to limitations in operational spatial scales. To address this limitation, we used grid-less near-field plume dilution models based on (1) the length-scale approach and (2) the integral modeling approach. The near-field modeling for this study was conducted using PLUMES2.0, which is a three-dimensional Lagrangian integral plume model (<xref ref-type="bibr" rid="B42">Khangaonkar et al., 2024</xref>). PLUMES2.0 is a re-development of its predecessor UM3, which has been widely used for dilution modeling needs of the NPDES permitting process. The CO2SYS module was integrated into PLUMES2.0 to simulate the alkalinity release and the associated changes to the carbonate chemistry of the plume. This allowed the computation of the spatial distribution of pH<sub>T</sub>, DIC, and TA along the near-field plume trajectory for monitoring, reporting, and verification (MRV) and other OAE-based mCDR system design purposes. The pH<sub>NBS</sub> was then calculated by applying the offset of 0.10 calculated previously (<xref ref-type="sec" rid="s2-3">Section 2.3</xref>).</p>
<p>PLUMES2.0 is a quasi-steady state model that operates under the assumption of steady state ambient conditions during the dynamic plume evolution phase. The diffuser/outfall characteristics (port diameter, port depths, orientation, etc.) need to be provided as user inputs, together with ambient conditions such as currents and stratification (salinity and temperature profiles). PLUMES2.0 was applied to simulate two model scenarios corresponding to the first two pulses of alkalinity release conducted at Sequim Bay outfall in February. Release 1 simulated the first pulse from 9:20&#x2013;10:50&#xa0;at a flow rate of 656&#xa0;L&#xa0;m<sup>-1</sup>, and release 2 simulated the second pulse from 11:50&#x2013;13:10&#xa0;at 653&#xa0;L&#xa0;m<sup>-1</sup>. The ambient currents for each release scenario were obtained from the Salish Sea and Columbia River operational forecast system (SSCOFS) model (<xref ref-type="sec" rid="s11">Supplementary Figure S12</xref>), and the ambient pH, DIC, and TA were acquired from the measurements at the Marine and Coastal Research Laboratory (MCRL) Data monitoring station in Sequim Bay maintained by PNNL. The initial pH and TA values for the alkalinity releases were obtained from the measurements conducted at GW Cell 2 prior to release (<xref ref-type="table" rid="T2">Table 2</xref>). The PLUMES2.0 model results are detailed in <xref ref-type="fig" rid="F8">Figure 8</xref>; <xref ref-type="sec" rid="s11">Supplementary Figure S13</xref>.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Variation of pH<sub>NBS</sub> along the plume trajectory over a <bold>(A)</bold> 20&#xa0;m distance from the outfall and <bold>(B)</bold> within 1&#xa0;m distance from the outfall as indicated via PLUMES2.0.</p>
</caption>
<graphic xlink:href="fenve-04-1641277-g008.tif">
<alt-text content-type="machine-generated">Two graphs show pH changes over distances for two different pulses. Graph A covers 0 to 20 meters, with both Pulse 1 in blue and Pulse 2 in red decreasing quickly within 2.5 m. Graph B focuses on the 0 to 1 meter range from the outfall to show the same decrease in further detail.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<p>As a first trial, the November 2024 alkalinity-enhanced seawater release was used to test our ability to monitor and maintain an elevated pH<sub>NBS</sub> &#x2264; 9.0 while remaining within compliance of water quality standards at the outfall. The initial temperature, salinity, and pH<sub>NBS</sub> of seawater at the beginning of the alkaline release ranged from 9.8&#xb0;C&#x2013;9.9&#xb0;C, 31.9&#x2013;32.0, and 7.5&#x2013;7.6, respectively (<xref ref-type="table" rid="T1">Table 1</xref>). pH<sub>NBS</sub> was increased to 9.0 from ambient conditions of 7.5&#x2013;7.6 within the mixing tank (<xref ref-type="sec" rid="s11">Supplementary Figures S2, S5</xref>). The pCO<sub>2</sub> in the mixing tank decreased from ambient conditions of 772&#x2013;796&#xa0;&#x3bc;atm to 70&#x2013;110&#xa0;&#xb5;atm in November, as measured by the ASVCO<sub>2</sub> system (<xref ref-type="table" rid="T1">Table 1</xref>). The alkalinity enhanced seawater was pumped into GW Cell 3, where pH<sub>NBS</sub> was observed at 8.9, with the slight reduction likely due to mixing with residual water remaining within the cell (<xref ref-type="sec" rid="s11">Supplementary Figures S3, S5</xref>). pH<sub>NBS</sub> again decreased within GW Cell 2 to 8.7, which was released from the WWTP outfall (<xref ref-type="sec" rid="s11">Supplementary Figures S4, S5</xref>). The pH<sub>NBS</sub> at the outfall during and after the alkaline release did not deviate from ambient conditions (<xref ref-type="sec" rid="s11">Supplementary Figures S5, S5</xref>), indicating that sensors deployed on the outfall pipe were either not located in line with the alkalinity-enhanced seawater discharged or the pH<sub>NBS</sub> signal was diluted too rapidly to be captured at this point. No alkaline signal was determined at the pier, however there was a flood tide during this time that could have diverted water into the Bay away from the pier rather than toward the inlet (<xref ref-type="sec" rid="s11">Supplementary Figures S6, S5</xref>). A comparison of results from the YSI sondes and pH calculated from DIC/TA samples (on total and NBS scale) within the mixing tank and GW cells indicated that the sondes slightly underestimated pH (<xref ref-type="table" rid="T1">Table 1</xref>). However, the final release of alkaline seawater at the outfall remained at pH<sub>NBS</sub> &#x3c; 9.0 and within regulatory monitoring requirements, even if we adjust for the apparent measurement bias. While pH calculated from DIC and TA is potentially more accurate than measuring with a sonde, this is not practical from a compliance monitoring standpoint, given that the analysis of samples is often delayed resulting in limited usefulness in real-time decision making.</p>
<p>The second alkalinity-enhanced seawater release in February 2025 (&#x223c;180,300&#xa0;L) was &#x223c;6.9x larger than the volume released in November 2024 (&#x223c;26,200&#xa0;L) and was discharged into Sequim Bay during four separate pulses through the WWTP (<xref ref-type="fig" rid="F3">Figure 3</xref>). The initial temperature, salinity, and pH of seawater at the beginning of the alkaline release ranged from 7.3&#xb0;C&#x2013;7.9&#xb0;C, 31.3&#x2013;31.5, and 7.6&#x2013;7.7, respectively (<xref ref-type="table" rid="T2">Table 2</xref>). pH<sub>NBS</sub> was increased to 8.9&#x2013;9.1 from ambient conditions of 7.6&#x2013;7.7 within the mixing tank (<xref ref-type="sec" rid="s11">Supplementary Figures S7, S6</xref>). For the February trial, seawater pCO<sub>2</sub> data was not recorded by the ASVCO<sub>2</sub> system in the mixing tank prior to base addition. Therefore, the ambient conditions were estimated using the range in pCO<sub>2</sub> from the SAMI-CO<sub>2</sub> at the outfall within 12&#xa0;h prior to the start of the experiment. Based on the SAMI-CO<sub>2</sub> and ASVCO<sub>2</sub> data, the baseline pCO<sub>2</sub> was between &#x223c;812 and 846&#xa0;&#x3bc;atm, which decreased to 35&#x2013;52&#xa0;&#xb5;atm (<xref ref-type="table" rid="T2">Table 2</xref>; <xref ref-type="sec" rid="s11">Supplementary Figure S10</xref>). The pH<sub>NBS</sub> was maintained through GW Cells 3 and 2&#xa0;at 9.0 and 8.5&#x2013;9.0, respectively, across all four pulses of alkalinity-enhanced seawater discharge (<xref ref-type="sec" rid="s11">Supplementary Figures S6, S8, S9</xref>). The decrease at the end of the final pulse is likely due to GW Cell 2 no longer receiving alkalinity-enhanced water from GW Cell 3. Again, pH measured via YSI sondes was lower than that calculated via CO2SYS from DIC/TA samples in the mixing tank and GW&#xa0;cells (<xref ref-type="table" rid="T2">Table 2</xref>). However, the final release of alkaline seawater at the outfall remained &#x3c;9.0, within regulatory monitoring requirements (<xref ref-type="sec" rid="s11">Supplementary Figures S10, S6</xref>). In contrast to the November trial, there was a detectable increase in pH<sub>NBS</sub> at the outfall over the four pulses during the February trial. During all four pulses, the Bay was in high tide conditions with a slight increase in water surface elevation over the day (<xref ref-type="sec" rid="s11">Supplementary Figure S1</xref>).</p>
<p>Temperature, salinity, and pH<sub>NBS</sub> were measured continuously for a week at the outfall and pier, beginning 3&#xa0;days before the alkalinity-enhanced seawater release and continuing for 4&#xa0;days afterwards (<xref ref-type="fig" rid="F7">Figure 7</xref>). The sensors at the outfall were positioned closer to the center line of flow from the outfall during the February release, which improved monitoring capabilities and allowed for the detection of the four pulses of increased pH (reaching a peak pH<sub>NBS</sub> 8.3) (<xref ref-type="fig" rid="F4">Figure 4</xref>). Ambient seawater pH<sub>NBS</sub> ranged from 7.6&#x2013;7.7. The YSI Exo 2 sonde recorded a higher peak pH<sub>NBS</sub> (8.3) than that of the SAMI-pH (8.1), which only captured an increase in pH during the first and fourth pulsed releases from the WWTP due to the reduced measurement frequency (15&#xa0;min) and perhaps slightly different positioning relative to the outfall (<xref ref-type="fig" rid="F6">Figures 6</xref>, <xref ref-type="fig" rid="F7">7</xref>). The YSI Exo2 sonde was in the direct line of the outfall plume compared to the SAMI, which is slightly higher in the water column (<xref ref-type="fig" rid="F4">Figure 4</xref>). In addition, current speeds were faster during the second release than the first, which may have diluted the pH signal more quickly and made it more difficult to capture (<xref ref-type="sec" rid="s11">Supplementary Figure S12</xref>). The pH rapidly returned to ambient values between pulses, ranging from 7.4&#x2013;7.7 via YSI sonde or 7.7&#x2013;7.9 via SAMI-pH (<xref ref-type="fig" rid="F6">Figures 6</xref>, <xref ref-type="fig" rid="F7">7</xref>). No shift in pH was measured by either the SAMI-pH or Seabird Hydrocat EP-V2 at the nearby pier during or after the alkaline releases (<xref ref-type="sec" rid="s11">Supplementary Figures S7, S6, S11</xref>). SAMI-pH and Seabird Hydrocat data had strong agreement in pH<sub>NBS</sub> measurements with one another as well as with the discrete samples collected off the pier (<xref ref-type="table" rid="T2">Table 2</xref>; <xref ref-type="fig" rid="F6">Figures 6</xref>, <xref ref-type="fig" rid="F7">7</xref>). The higher accuracy of both the SAMI-pH and discrete sample data relative to the Seabird Hydrocat or YSI sonde, along with agreement between the pier sensor and sample data, indicate that the pH measurements made with the YSI sondes are biased low by 0.1&#x2013;0.3 pH (<xref ref-type="table" rid="T2">Table 2</xref>). The high frequency variability in pH during the alkalinity-enhanced seawater discharges demonstrates the need for frequent sampling or continuous records, while the differing sensitivity of the SAMI-pH and YSI sonde pH records to the discharges likely reflects the strong heterogeneity of the impacts of any point source release into an energetic mixing environment. The differing accuracy and performance of these sensors versus sampling resolution demonstrates that the choice of sensor in a field experiment can matter greatly.</p>
<p>The treatment process of the seawater to enhance alkalinity did not appear to affect the temperature for the February release (<xref ref-type="table" rid="T2">Table 2</xref>). While higher temperatures were observed during the release period, they were not outside of those observed naturally in the system (<xref ref-type="fig" rid="F7">Figure 7</xref>). There was also no measured increase in salinity associated with the alkalinity release compared to the natural variability of salinity in this system (<xref ref-type="fig" rid="F7">Figure 7</xref>). The opposite trend was observed instead, where salinity decreased slightly throughout the day on February 7&#xa0;at both the outfall and pier (<xref ref-type="fig" rid="F7">Figure 7</xref>). The salinity at the pier does appear to be slightly higher than the outfall, which could be due to multiple factors. The first is that the use of different sensors led to an offset, however, it is unlikely that this would lead to an offset of 0.5. The second is that the pier is slightly closer to the inlet for the Bay from the Salish Sea, resulting in higher salinities. The third is that under normal WWTP operation, the salinity of the released water is slightly fresher than the surrounding water, considering it receives both fresh and saline water from PNNL facilities (<xref ref-type="fig" rid="F4">Figures 4</xref>, <xref ref-type="fig" rid="F7">7</xref>). When analyzing the pH<sub>NBS</sub> at the pier station over the week, there is a small increase during the discharge event, however, it is not significantly different from the average pH<sub>NBS</sub> conditions occurring naturally within the system over this period (<xref ref-type="fig" rid="F6">Figures 6</xref>, <xref ref-type="fig" rid="F7">7</xref>). Therefore, the alkalinity-enhanced seawater released at the outfall was likely diluted quickly near the outfall and did not affect the nearby pier station (<xref ref-type="fig" rid="F7">Figure 7</xref>). This is further supported by the PLUMES2.0 model, which demonstrated that the pH signal dissipates within approximately 2.5&#xa0;m from the outfall (<xref ref-type="fig" rid="F8">Figure 8</xref>). In addition, strong currents near the outfall in Sequim Bay would promote mixing and dilution of the pH signal (<xref ref-type="sec" rid="s11">Supplementary Figure S12</xref>). Before the alkalinity release, there were four regular wastewater releases from the WWTP that released warmer, less salty, and lower pH water to the Bay (<xref ref-type="fig" rid="F7">Figure 7</xref>). Following the alkalinity release, there was a release from the WWTP on February 8 that released both wastewater from the labs as well as residual alkalinity treated water that was still in the GW Cells, which explains the peak in pH during this period (<xref ref-type="fig" rid="F7">Figure 7</xref>). There were not any other releases recorded in this time series following the release on February 8 due to unrelated facility mechanical problems.</p>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>These field trials demonstrated the ability to release electrochemically generated alkalinity through an existing, pre-permitted coastal outfall with minimal to barely detectable influence on local water conditions. pH<sub>NBS</sub> was successfully measured and controlled throughout the wastewater treatment system to ensure that pH of the effluent was limited to &#x3c;9.0. There was minimal impact on water temperature and salinity while elevating the pH within the permitted thresholds (<xref ref-type="fig" rid="F7">Figure 7</xref>). During normal WWTP operations, water has a longer residence time within the laboratory facilities, providing opportunities for water in the system to heat or cool relative to ambient seawater. During the February field trial, however, our continuous pumping of water substantially decreased this residence time, minimizing thermal differences between the discharge and receiving waters of Sequim Bay. It is important to note that the brine product stream was not added to the final released product in this study due to logistical reasons. Therefore, we did not expect to see shifts in salinity relative to natural seawater conditions during these releases. However, even if the brine product was reintroduced with the base product, it is unlikely that we could detect a signal due to its relatively small volume compared to the large volume of seawater it is diluted in (approximately only 0.2% of total volume).</p>
<p>The improved detection of alkalinity-enhanced seawater in February at the outfall was primarily due to a more optimal positioning of the sensors relative to the direct flow of the outfall (<xref ref-type="fig" rid="F4">Figure 4</xref>) but may also be partly due to the larger volume of the alkalinity release in February compared to November (<xref ref-type="fig" rid="F3">Figure 3</xref>). The difference between the two field trials in November and February demonstrates that even when the discharge volume increased by over 6-fold, there was still only limited detectability of increased pH to just outside the outfall pipe (<xref ref-type="fig" rid="F5">Figures 5</xref>&#x2013;<xref ref-type="fig" rid="F7">7</xref>). In either case, the difference between ambient and OAE pH conditions is relatively small and may be difficult to capture beyond the outfall for MRV purposes (<xref ref-type="fig" rid="F6">Figures 6</xref>, <xref ref-type="fig" rid="F7">7</xref>). Positioning sensors precisely within the direct flow of an outfall is logistically challenging, requiring divers to deploy a cage attached to the outfall, and optimal placement of sensors may vary with tidal conditions. Capturing the signal of a plume further from the outfall in a dynamic tidal system like Sequim Bay is even more challenging without a substantially larger treatment (i.e., higher pH and volume). These logistical and observational challenges highlight the need for modeling to support MRV, particularly for smaller-scale experiments and deployments.</p>
<p>During both field trials, there was no measured increase in pH<sub>NBS</sub> by either the SAMI-pH or Hydrocat sensors at the nearby pier (<xref ref-type="fig" rid="F5">Figures 5</xref>, <xref ref-type="fig" rid="F6">6</xref>). One possible reason for this is that the sensors installed at the pier station may not have been optimally positioned to capture the plume despite the fact that outgoing tides during the February experiment should have directed the plume towards the pier. However, based on data from the PLUMES2.0 model, the pH signal from the plume dissipates quickly within 2.5&#xa0;m from the outfall due to fast dilution of the alkalinity-enhanced seawater by currents in this area (<xref ref-type="fig" rid="F8">Figure 8</xref>; <xref ref-type="sec" rid="s11">Supplementary Figure S12</xref>). These data, along with PLUMES2.0 simulations, indicate that the problem for detection was not necessarily sensor placements but the scale of the alkalinity release. Releasing seawater with higher alkalinity concentrations may increase the distance of detectability further from the outfall to allow for measurements further away (<xref ref-type="fig" rid="F8">Figure 8</xref>). However, there is a potential tradeoff between the increased measurability of the plume and the increased localized impact of the alkalinity addition.</p>
<p>Evaluation of the above tradeoffs should include clear definition of research questions in the context of an OAE deployment, the range of natural variability in pH and carbonate chemistry inherent to a field site, and consideration of both potential positive and negative impacts of shifts in pH and carbonate chemistry on the marine communities that may be present within the perturbed volume of seawater around the outfall. We note that increasing the pH and alkalinity of the effluent also requires consideration of the potential for secondary precipitation of carbonate minerals, which is dependent on factors including temperature, salinity, carbonate chemistry, and suspended solids in the water column (<xref ref-type="bibr" rid="B50">Mucci, 1983</xref>; <xref ref-type="bibr" rid="B84">Zhong and Mucci, 1989</xref>; <xref ref-type="bibr" rid="B55">Pan et al., 2021</xref>; <xref ref-type="bibr" rid="B81">Wurgaft et al., 2021</xref>; <xref ref-type="bibr" rid="B27">Fuhr et al., 2022</xref>; <xref ref-type="bibr" rid="B30">Hartmann et al., 2023</xref>; <xref ref-type="bibr" rid="B56">Paul et al., 2024</xref>; <xref ref-type="bibr" rid="B62">Ringham et al., 2024</xref>; <xref ref-type="bibr" rid="B71">Suitner et al., 2024</xref>; <xref ref-type="bibr" rid="B79">Varliero et al., 2024</xref>). While many laboratory studies have investigated this precipitation, which is linked to both inefficiencies in alkalinity delivery and potential impacts on marine biology associated with increasing turbidity, there are few examples of methods for quantifying precipitation in OAE field studies (<xref ref-type="bibr" rid="B48">Moras et al., 2022</xref>). Therefore, where alkalinity is released under conditions approaching potential secondary precipitation thresholds, and until precipitation thresholds are better defined, we recommend collecting continuous measurements near the outfall for both carbonate chemistry and turbidity. It is important to note that most marketed turbidity sensors currently have an accuracy between 1% (Seabird) to 2% (YSI), which can still translate to relatively large error given the range in detectability (0&#x2013;4000 NTU). Therefore, special care should be taken during calibration and data quality control checks. Still, these data will be useful for demonstrating compliance with water quality regulations, validating dilution models, and evaluating the impact of the alkalinity-enhanced seawater discharge on the local marine environment. Based on current literature, OAE has mixed impacts on marine species, even within individual groups of calcifiers (<xref ref-type="bibr" rid="B25">Ferderer et al., 2022</xref>; <xref ref-type="bibr" rid="B28">Gately et al., 2023</xref>; <xref ref-type="bibr" rid="B41">Jones et al., 2024</xref>; <xref ref-type="bibr" rid="B6">Bednar&#x161;ek et al., 2025</xref>; <xref ref-type="bibr" rid="B7">Britton et al., 2025</xref>). For these field trials, we were unable to collect data to assess the impacts of the alkalinity-enhanced seawater delivered to the local marine species. However, we hypothesize that only organisms within direct proximity to the outfall would be impacted based on the limited extent and duration of the plume, along with the lack of evidence of secondary precipitation <italic>in situ</italic>.</p>
<p>The data from the PLUMES2.0 model exemplifies the value of leveraging near-field modeling capabilities to help inform field deployment strategies alongside regional ocean models used to quantify carbon removal resulting from OAE. Models can be used to build a better observation network by simulating a large number of model scenarios to explore when and where the best detectability occurs. As a result, we can develop a better MRV system for mCDR which is essential for the advancement of the technology. For example, the impact of tidal currents on the alkaline plume may limit detection by the deployed sensors. High-resolution forecasts of local current conditions could help inform stationary sensor placement for field trials. Likewise, model simulations could be used to program spatially-resolved monitoring routes by automated vehicles to track plumes in greater detail in more offshore waters. While PLUMES2.0 was used post-experiment to understand plume dynamics based on field data, it could very well be used in the future to determine the range of detectability from the outfall for future trials. In addition, broader regional models can help with tracking alkalinity plumes. The elevated pH and alkalinity and decreased pCO<sub>2</sub> resulting from alkalinity-enhanced seawater addition in these plumes may be measurable at the outfall, however CO<sub>2</sub> removal and storage occur over the timescales of air-sea equilibration in the broader oceanographic region (<xref ref-type="bibr" rid="B39">Jones et al., 2014</xref>; <xref ref-type="bibr" rid="B3">Bach et al., 2023</xref>; <xref ref-type="bibr" rid="B34">Ho et al., 2023</xref>; <xref ref-type="bibr" rid="B80">Wang et al., 2023</xref>). Measurement, reporting, and verification (MRV) for OAE must then rely on the combination of direct measurement of the rate and concentration of the alkalinity-enhanced seawater returned to the surface ocean, direct measurement of water quality parameters in the immediate vicinity of the outfall for permit compliance and impact monitoring, and ocean modeling to quantify carbon removal and storage (<xref ref-type="bibr" rid="B24">Fennel et al., 2023</xref>; <xref ref-type="bibr" rid="B34">Ho et al., 2023</xref>). Both near-field and regional model outputs can help inform field sensor deployment, which in turn would allow for better measurement of the alkalinity release for MRV and regulatory purposes. These models could also be used to help determine if a site is a viable option for OAE deployment based on local currents and tides. Laboratory experiments can supplement this work and provide insights into OAE by building a body of knowledge to assess the safety and viability of OAE in advance of field trials. Lab experiments can better capture processes that are not currently measurable due to signal-to-noise issues at the current scale of small field trials and help develop operational guidelines for MRV to improve our ability to evaluate the safety and efficacy of OAE, especially those focused around secondary precipitation kinetics and biological responses to OAE (<xref ref-type="bibr" rid="B3">Bach et al., 2023</xref>; <xref ref-type="bibr" rid="B34">Ho et al., 2023</xref>; <xref ref-type="bibr" rid="B36">Iglesias-Rodr&#xed;guez et al., 2023</xref>; <xref ref-type="bibr" rid="B61">Riebesell et al., 2023</xref>; <xref ref-type="bibr" rid="B6">Bednar&#x161;ek et al., 2025</xref>).</p>
<p>In summary, we leveraged existing outfall permits for the WWTP at PNNL-Sequim to release alkalinity-enhanced seawater within cautious pH thresholds, which is likely how operators with existing outfall permits (e.g., WWTPs, desalination plants, etc.) would approach early adoption of OAE deployments. However, other mCDR studies have shown that under similar seawater temperature and salinity conditions, we could release seawater at increased alkalinity and pH conditions (&#x2b;1,400&#xa0;&#x3bc;mol/kg and &#x223c;9.5, respectively) with limited risk of secondary precipitation of carbonate minerals, particularly in regions where alkalinity-enhanced seawater discharges would be rapidly diluted into the surrounding environment (<xref ref-type="bibr" rid="B71">Suitner et al., 2024</xref>; <xref ref-type="bibr" rid="B72">Suitner et al., 2025</xref>). It is important to note that this is true for the alkaline feedstock used in this study and may not be applicable to other forms of alkaline feedstock. For example, lower precipitation thresholds have been observed when using solid mineral dispersal versus aqueous solutions, likely due to the increased number of precipitation nuclei (<xref ref-type="bibr" rid="B48">Moras et al., 2022</xref>; <xref ref-type="bibr" rid="B30">Hartmann et al., 2023</xref>; <xref ref-type="bibr" rid="B49">Moras et al., 2024</xref>; <xref ref-type="bibr" rid="B71">Suitner et al., 2024</xref>). The facilities at PNNL-Sequim could be leveraged for further field testing and significant advancements in mCDR research with appropriate discharge permits that allow for the release of increased alkalinity-enhanced seawater. The WWTP at PNNL-Sequim is relatively small compared to typical municipal water treatment facilities in Washington state that may operate at &#x3e;1,000x the capacity of this facility. A quick calculation based on the volume of alkalinity output by the PNNL facility during the February field trial release indicated that the amount of alkalinity released (&#x223c;251&#xa0;mol NaOH) could account for about 8.9&#xa0;kg of equivalent CO<sub>2</sub> for this one experiment, based on the conversion of &#x223c;0.8&#xa0;mol CO<sub>2</sub> captured per mol alkalinity released in the form of NaOH (<xref ref-type="bibr" rid="B80">Wang et al., 2023</xref>; <xref ref-type="bibr" rid="B42">Khangaonkar et al., 2024</xref>; <xref ref-type="bibr" rid="B62">Ringham et al., 2024</xref>). Daily repetition of this experiment over the course of a year could result in sequestration of &#x223c;3.2 metric tons of CO<sub>2</sub> per year, which is about 70% of the yearly emissions from one typical US car (<xref ref-type="bibr" rid="B78">US EPA, 2025</xref>). The Ebb Carbon BPMED system at PNNL-Sequim could produce enough NaOH to sequester &#x223c;100 tons of CO2 per year, enough to offset around &#x223c;22 cars per year (<xref ref-type="bibr" rid="B78">US EPA, 2025</xref>). However, discharge of this volume of alkalized seawater is constrained by our capacity for onsite dilution to allow for release of an effluent pH<sub>NBS</sub> &#x3c; 9.0. While PNNL-Sequim&#x2019;s WWTP would need permits that allow for release at higher pH to have a broader impact in carbon removal, it has high value as a research and development test bed in OAE.</p>
<p>Paired with larger WWTP or industrial facilities that discharge large volumes of seawater, electrochemically derived aqueous alkalinity provides a valid approach among many in the CDR toolbox. Even if constrained to release seawater of pH<sub>NBS</sub> &#x3c; 9.0, the release of alkalinity-enhanced seawater from larger facilities would begin to increase ocean carbon uptake and regionally offset ocean acidification (<xref ref-type="bibr" rid="B42">Khangaonkar et al., 2024</xref>). However, we note that there is a disconnect between the intention of NPDES permits, namely, to regulate, control, and minimize the impact of pollutants on the natural environment, and the intention of OAE, which is to perturb the natural environment through the addition of alkalinity (<xref ref-type="bibr" rid="B69">Steenkamp and Webb, 2023</xref>). While some NPDES permits may technically allow for OAE, we cannot extrapolate this work to imply that all NPDES-permitted outfalls will be allowed to intentionally discharge alkalinity (<xref ref-type="bibr" rid="B51">Murthy et al., 2025</xref>). It is also important to note the disconnect between pH reporting between these two communities. From a regulatory standpoint, the NBS scale for pH is commonly output by the lower cost sensors and reported for compliance and monitoring purposes. However, the researchers studying mCDR OAE or ocean acidification typically report on total scale, as it is commonly measured by oceanographic instruments. This is necessary to keep in mind for future research experiments in OAE so that results are communicated accurately to the regulatory community.</p>
<p>We recommend that future research should continue to refine constraints, monitoring, and modeling approaches for ocean alkalinity enhancement that enhance the growing body of research. Field demonstrations of alkaline releases can be leveraged to more easily acquire appropriate NPDES permits for OAE deployment at coastal facilities in the future, such as that of Ebb Carbon&#x2019;s upcoming research pilot with an increased effluent pH limit in Port Angeles, WA. This work will allow for greater scaling in OAE field trials, which could be useful for integrating these systems with coastal facilities going forward. When possible, high-accuracy continuous measurements should be utilized near the outfall for field trials, however, we recognize that this may not be sustainable for regular compliance at many facilities. Therefore, calibration and comparison with discrete samples should be done at regular intervals when using less accurate but more cost-efficient sensors to account for any offset between the two. In addition, we think this study would have benefitted from additional post-deployment calibration checks and recommend them for future field work campaigns. Finally, we emphasize that the limits of detection of alkaline signals in dynamic coastal environments require improvement in both dilution modeling, to assess the movement and potential near-field impacts of alkaline plumes, and regional modeling, to quantify resulting carbon dioxide removal. These tools are already valuable for OAE MRV, however, improving parameterizations of variables like secondary precipitation and gas transfer velocity for air-sea gas exchange would improve their accuracy. The field of mCDR and OAE is quickly expanding, and we hope that the rapid reporting of this work can help inform the community as new research evolves.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>A project page has been created on NOAA&#x2019;s NCEI database under the title &#x201c;Data for Novel field trial for ocean alkalinity enhancement using electrochemically derived aqueous alkalinity from 2024-11-07 to 2025-02-08 (NCEI Accession 0307424)&#x201d; and is accessible at <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.ncei.noaa.gov/archive/accession/0307424">https://www.ncei.noaa.gov/archive/accession/0307424</ext-link>.</p>
</sec>
<sec sec-type="author-contributions" id="s6">
<title>Author contributions</title>
<p>AS: Validation, Visualization, Formal Analysis, Data curation, Writing &#x2013; review and editing, Writing &#x2013; original draft. MR: Validation, Methodology, Writing &#x2013; review and editing, Visualization, Investigation, Supervision, Formal Analysis, Resources, Writing &#x2013; original draft. CT: Formal Analysis, Writing &#x2013; review and editing, Investigation, Validation. BC: Writing &#x2013; review and editing, Investigation, Supervision, Funding acquisition, Resources, Project administration, Conceptualization, Methodology. SD: Writing &#x2013; review and editing, Data curation. RF: Funding acquisition, Conceptualization, Writing &#x2013; review and editing, Supervision. DH: Writing &#x2013; review and editing. JH: Writing &#x2013; review and editing. TK: Software, Writing &#x2013; review and editing, Methodology. JL: Writing &#x2013; original draft, Visualization, Methodology, Writing &#x2013; review and editing. TM: Writing &#x2013; review and editing, Supervision, Methodology. TP: Writing &#x2013; review and editing. LP: Validation, Writing &#x2013; original draft, Writing &#x2013; review and editing, Formal Analysis, Visualization. CS: Funding acquisition, Project administration, Writing &#x2013; review and editing. JV: Writing &#x2013; review and editing. NW: Funding acquisition, Project administration, Conceptualization, Supervision, Writing &#x2013; review and editing, Investigation, Methodology.</p>
</sec>
<sec sec-type="funding-information" id="s7">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was led by Pacific Northwest National Laboratory, which is operated for the US Department of Energy by Battelle Memorial Institute under contract DE-AC05-76RL01830. Financial support for this research was provided by the US Department of Energy&#x2019;s Water Power Technologies Office Laboratory Research Program, the Climateworks Foundation Grant Number 22&#x2013;2361, and the National Oceanographic Partnership Program (NOPP) under the National Oceanic and Atmospheric Administration&#x2019;s Ocean Acidification Program (Crossref Funder ID: 100018228; ROR ID: <ext-link ext-link-type="uri" xlink:href="https://ror.org/02bfn4816">https://ror.org/02bfn4816</ext-link>) award to University of Washington CICOES. The CICOES and PMEL contributions are numbers 2025&#x2013;1456 and 5778, respectively. Production of the alkaline feedstock was carried out by Ebb Carbon, which also financially supported MR, DH, JL, TM, TP, and JV</p>
</sec>
<ack>
<p>We acknowledge Matthew Eisaman&#x2019;s substantial and invaluable contributions to this project, and regret that he passed before seeing the final dataset. We greatly appreciated the efforts by the PNNL facilities personnel and divers who deployed the sensors at the outfall.</p>
</ack>
<sec sec-type="COI-statement" id="s8">
<title>Conflict of interest</title>
<p>Authors MR, DH, JL, TM, TP, and JV were employed by Ebb Carbon, Inc.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s9">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s11">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fenve.2025.1641277/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fenve.2025.1641277/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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