A framework for modeling carbon loss from rivers following terrestrial enhanced weathering
Enhanced weathering (EW) has garnered increasing interest as a promising technique for durable carbon dioxide removal, with a range of potential co-benefits including increased soil pH and nutrient availability. However, the potential loss of initially captured CO _2 during river transport remains p...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2025-01-01
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| Series: | Environmental Research Letters |
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| Online Access: | https://doi.org/10.1088/1748-9326/ada398 |
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| author | Shuang Zhang Christopher T Reinhard Shaoda Liu Yoshiki Kanzaki Noah J Planavsky |
| author_facet | Shuang Zhang Christopher T Reinhard Shaoda Liu Yoshiki Kanzaki Noah J Planavsky |
| author_sort | Shuang Zhang |
| collection | DOAJ |
| description | Enhanced weathering (EW) has garnered increasing interest as a promising technique for durable carbon dioxide removal, with a range of potential co-benefits including increased soil pH and nutrient availability. However, the potential loss of initially captured CO _2 during river transport remains poorly constrained, undermining the use of this practice as a carbon mitigation strategy. Here, we present results from a first-of-its-kind dynamic river network (DRN) model designed to quantify the impact of EW on river carbonate chemistry in North American watersheds. We map key water quality parameters using machine learning and use a DRN model to simulate changes in carbon degassing during EW. Our model predicts low carbon loss (<5%) from river networks for many of the river pathways explored here, but significantly higher (>15%) carbon degassing is also observed, indicating that riverine carbon storage and the impacts of EW on river chemistry must be evaluated in a deployment-specific or regional context. |
| format | Article |
| id | doaj-art-8dc68a6c0c884a879d7d4ba508f9ceab |
| institution | Kabale University |
| issn | 1748-9326 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj-art-8dc68a6c0c884a879d7d4ba508f9ceab2025-01-14T18:14:20ZengIOP PublishingEnvironmental Research Letters1748-93262025-01-0120202401410.1088/1748-9326/ada398A framework for modeling carbon loss from rivers following terrestrial enhanced weatheringShuang Zhang0https://orcid.org/0000-0003-1745-4642Christopher T Reinhard1https://orcid.org/0000-0002-2632-1027Shaoda Liu2https://orcid.org/0000-0002-0836-5085Yoshiki Kanzaki3https://orcid.org/0000-0003-1400-1736Noah J Planavsky4https://orcid.org/0000-0001-5849-8508Department of Oceanography, Texas A&M University , College Station, TX, United States of AmericaSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology , Atlanta, GA, United States of AmericaSchool of Environment, Beijing Normal University , Beijing, People’s Republic of ChinaSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology , Atlanta, GA, United States of AmericaDepartment of Earth and Planetary Sciences, Yale University , New Haven, CT, United States of America; Yale Center for Natural Carbon Capture, Yale University , New Haven, CT, United States of AmericaEnhanced weathering (EW) has garnered increasing interest as a promising technique for durable carbon dioxide removal, with a range of potential co-benefits including increased soil pH and nutrient availability. However, the potential loss of initially captured CO _2 during river transport remains poorly constrained, undermining the use of this practice as a carbon mitigation strategy. Here, we present results from a first-of-its-kind dynamic river network (DRN) model designed to quantify the impact of EW on river carbonate chemistry in North American watersheds. We map key water quality parameters using machine learning and use a DRN model to simulate changes in carbon degassing during EW. Our model predicts low carbon loss (<5%) from river networks for many of the river pathways explored here, but significantly higher (>15%) carbon degassing is also observed, indicating that riverine carbon storage and the impacts of EW on river chemistry must be evaluated in a deployment-specific or regional context.https://doi.org/10.1088/1748-9326/ada398climate mitigationcarbon dioxide removalenhanced weatheringcarbon cyclecarbon lossriver geochemistry |
| spellingShingle | Shuang Zhang Christopher T Reinhard Shaoda Liu Yoshiki Kanzaki Noah J Planavsky A framework for modeling carbon loss from rivers following terrestrial enhanced weathering Environmental Research Letters climate mitigation carbon dioxide removal enhanced weathering carbon cycle carbon loss river geochemistry |
| title | A framework for modeling carbon loss from rivers following terrestrial enhanced weathering |
| title_full | A framework for modeling carbon loss from rivers following terrestrial enhanced weathering |
| title_fullStr | A framework for modeling carbon loss from rivers following terrestrial enhanced weathering |
| title_full_unstemmed | A framework for modeling carbon loss from rivers following terrestrial enhanced weathering |
| title_short | A framework for modeling carbon loss from rivers following terrestrial enhanced weathering |
| title_sort | framework for modeling carbon loss from rivers following terrestrial enhanced weathering |
| topic | climate mitigation carbon dioxide removal enhanced weathering carbon cycle carbon loss river geochemistry |
| url | https://doi.org/10.1088/1748-9326/ada398 |
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