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Understanding the Hydrogeochemical Response of a Mountainous Watershed Using Integrated Surface‐Subsurface Flow and Reactive Transport Modeling
Climate change and other disturbances significantly impact hydrogeochemical exports from mountainous headwater catchments such as the Upper Colorado River Basin. Developing a mechanistic understanding of how the physical and chemical processes interact in time and space in an integrated manner is ke...
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Published in: | Water resources research 2022-08, Vol.58 (8), p.n/a |
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description | Climate change and other disturbances significantly impact hydrogeochemical exports from mountainous headwater catchments such as the Upper Colorado River Basin. Developing a mechanistic understanding of how the physical and chemical processes interact in time and space in an integrated manner is key to quantifying the future impacts of such disturbances. The hydrogeochemical response of a mountainous catchment in the 2010–2019 period is evaluated quantitatively using a high‐resolution model that simulates integrated hydrology, and transport and reactions for selected solutes and minerals. The model assumes that pyrite is present only at depth while calcite is distributed uniformly, and captures the observed C‐Q reasonably well. Distinct C‐Q dynamics are observed in an average (WY16), a wet (WY17), and a dry (WY18) water year. The model also quantifies the water fraction from surface, shallow and deep groundwater compartments using tracers, and suggests greater groundwater contributions to peak stream discharge in the dry WY18. Results demonstrate that calcium concentrations do not change significantly from year to year, while sulfate shows significant temporal variability. Pyrite dissolution is affected by the changing hydrological drivers where it is enhanced in the dry WY18; calcite dissolution supplements calcium dilution under high flow conditions. The model simulates the reaction hotspots controlled by hydrological conditions, and the spatially‐resolved results show that higher soil saturation and less snowpack occur earlier on the south‐facing side than on the north‐facing side. This is a first‐of‐its‐kind demonstration of a model that integrates hydrologic processes, including evapotranspiration, and reactive transport to enable a predictive understanding of hydrogeochemical exports.
Plain Language Summary
Climate change significantly impacts water resources, including water quantity and quality, particularly in mountainous headwater catchments such as the Upper Colorado River Basin that are key for water supply in downstream regions of the western U.S. In this work, we used a mathematical model to quantify the movement of water and chemical species under changing weather and climate conditions. Changing rainfall and early snowmelt affects both the volume of water and the amount of minerals that dissolve, impacting water quality observed at the gauged stations downstream. Consistent with the available measurements, the three‐dimensional model makes |
doi_str_mv | 10.1029/2022WR032075 |
format | article |
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Plain Language Summary
Climate change significantly impacts water resources, including water quantity and quality, particularly in mountainous headwater catchments such as the Upper Colorado River Basin that are key for water supply in downstream regions of the western U.S. In this work, we used a mathematical model to quantify the movement of water and chemical species under changing weather and climate conditions. Changing rainfall and early snowmelt affects both the volume of water and the amount of minerals that dissolve, impacting water quality observed at the gauged stations downstream. Consistent with the available measurements, the three‐dimensional model makes it possible to understand how the watershed's topography and the flow of water in the streams and the groundwater interact in time and in space. In particular, we found that the mineral composition with depth explains in part the changes in observed concentrations between dry and wet periods and that the north‐ and south‐facing slopes of the river valley contribute differently to these concentrations. These effects are relatively small in this study but larger climate variability could enhance them.
Key Points
Multi‐year calibration to discharge and chemical exports enables reasonable prediction of watershed hydro‐geochemical response
The role of vertical mineral heterogeneity is captured by differences in the C‐Q response in the wet and dry years
A heterogeneous landscape response is also observable but is diluted in terms of aggregate C‐Q response</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1029/2022WR032075</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>ATS ; Calcite ; Calcite dissolution ; Calcium ; Calcium content ; Catchment area ; Catchments ; Chemical reactions ; Chemical speciation ; Climate change ; Climate change models ; Climate models ; Climate variability ; Climatic conditions ; concentration‐Discharge ; Dilution ; Dissolution ; Dissolving ; Disturbances ; ENVIRONMENTAL SCIENCES ; Evapotranspiration ; Evapotranspiration processes ; Exports ; Groundwater ; Headwater catchments ; Headwaters ; high‐performance computing ; Hydrogeochemistry ; Hydrologic models ; Hydrologic processes ; Hydrology ; Mathematical models ; Mineral composition ; Minerals ; Modelling ; mountainous watershed ; Mountains ; Pyrite ; Rainfall ; reactive transport modeling ; River basin development ; River basins ; River valleys ; Rivers ; Saturation ; Snowmelt ; Snowpack ; Solutes ; Stream discharge ; Streams ; Subsurface flow ; Sulfates ; Temporal variability ; Temporal variations ; Tracers ; Transport ; Variability ; Water quality ; Water resources ; Water supply ; Watersheds</subject><ispartof>Water resources research, 2022-08, Vol.58 (8), p.n/a</ispartof><rights>2022. The Authors.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3951-5b81bde9b0f91fac99338d2fa840db0d5f3c2852860d891d8c5ca9bb239950153</citedby><cites>FETCH-LOGICAL-a3951-5b81bde9b0f91fac99338d2fa840db0d5f3c2852860d891d8c5ca9bb239950153</cites><orcidid>0000-0003-4142-9914 ; 0000-0003-1788-1900 ; 0000-0002-2802-611X ; 0000-0001-9534-7370 ; 0000-0001-7675-3218 ; 000000022802611X ; 0000000341429914 ; 0000000195347370 ; 0000000317881900 ; 0000000176753218</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2022WR032075$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2022WR032075$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,11514,27924,27925,46468,46892</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1882021$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Xu, Zexuan</creatorcontrib><creatorcontrib>Molins, Sergi</creatorcontrib><creatorcontrib>Özgen‐Xian, Ilhan</creatorcontrib><creatorcontrib>Dwivedi, Dipankar</creatorcontrib><creatorcontrib>Svyatsky, Daniil</creatorcontrib><creatorcontrib>Moulton, J. David</creatorcontrib><creatorcontrib>Steefel, Carl</creatorcontrib><creatorcontrib>Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)</creatorcontrib><title>Understanding the Hydrogeochemical Response of a Mountainous Watershed Using Integrated Surface‐Subsurface Flow and Reactive Transport Modeling</title><title>Water resources research</title><description>Climate change and other disturbances significantly impact hydrogeochemical exports from mountainous headwater catchments such as the Upper Colorado River Basin. Developing a mechanistic understanding of how the physical and chemical processes interact in time and space in an integrated manner is key to quantifying the future impacts of such disturbances. The hydrogeochemical response of a mountainous catchment in the 2010–2019 period is evaluated quantitatively using a high‐resolution model that simulates integrated hydrology, and transport and reactions for selected solutes and minerals. The model assumes that pyrite is present only at depth while calcite is distributed uniformly, and captures the observed C‐Q reasonably well. Distinct C‐Q dynamics are observed in an average (WY16), a wet (WY17), and a dry (WY18) water year. The model also quantifies the water fraction from surface, shallow and deep groundwater compartments using tracers, and suggests greater groundwater contributions to peak stream discharge in the dry WY18. Results demonstrate that calcium concentrations do not change significantly from year to year, while sulfate shows significant temporal variability. Pyrite dissolution is affected by the changing hydrological drivers where it is enhanced in the dry WY18; calcite dissolution supplements calcium dilution under high flow conditions. The model simulates the reaction hotspots controlled by hydrological conditions, and the spatially‐resolved results show that higher soil saturation and less snowpack occur earlier on the south‐facing side than on the north‐facing side. This is a first‐of‐its‐kind demonstration of a model that integrates hydrologic processes, including evapotranspiration, and reactive transport to enable a predictive understanding of hydrogeochemical exports.
Plain Language Summary
Climate change significantly impacts water resources, including water quantity and quality, particularly in mountainous headwater catchments such as the Upper Colorado River Basin that are key for water supply in downstream regions of the western U.S. In this work, we used a mathematical model to quantify the movement of water and chemical species under changing weather and climate conditions. Changing rainfall and early snowmelt affects both the volume of water and the amount of minerals that dissolve, impacting water quality observed at the gauged stations downstream. Consistent with the available measurements, the three‐dimensional model makes it possible to understand how the watershed's topography and the flow of water in the streams and the groundwater interact in time and in space. In particular, we found that the mineral composition with depth explains in part the changes in observed concentrations between dry and wet periods and that the north‐ and south‐facing slopes of the river valley contribute differently to these concentrations. These effects are relatively small in this study but larger climate variability could enhance them.
Key Points
Multi‐year calibration to discharge and chemical exports enables reasonable prediction of watershed hydro‐geochemical response
The role of vertical mineral heterogeneity is captured by differences in the C‐Q response in the wet and dry years
A heterogeneous landscape response is also observable but is diluted in terms of aggregate C‐Q response</description><subject>ATS</subject><subject>Calcite</subject><subject>Calcite dissolution</subject><subject>Calcium</subject><subject>Calcium content</subject><subject>Catchment area</subject><subject>Catchments</subject><subject>Chemical reactions</subject><subject>Chemical speciation</subject><subject>Climate change</subject><subject>Climate change models</subject><subject>Climate models</subject><subject>Climate variability</subject><subject>Climatic conditions</subject><subject>concentration‐Discharge</subject><subject>Dilution</subject><subject>Dissolution</subject><subject>Dissolving</subject><subject>Disturbances</subject><subject>ENVIRONMENTAL SCIENCES</subject><subject>Evapotranspiration</subject><subject>Evapotranspiration processes</subject><subject>Exports</subject><subject>Groundwater</subject><subject>Headwater catchments</subject><subject>Headwaters</subject><subject>high‐performance computing</subject><subject>Hydrogeochemistry</subject><subject>Hydrologic models</subject><subject>Hydrologic processes</subject><subject>Hydrology</subject><subject>Mathematical models</subject><subject>Mineral composition</subject><subject>Minerals</subject><subject>Modelling</subject><subject>mountainous watershed</subject><subject>Mountains</subject><subject>Pyrite</subject><subject>Rainfall</subject><subject>reactive transport modeling</subject><subject>River basin development</subject><subject>River basins</subject><subject>River valleys</subject><subject>Rivers</subject><subject>Saturation</subject><subject>Snowmelt</subject><subject>Snowpack</subject><subject>Solutes</subject><subject>Stream discharge</subject><subject>Streams</subject><subject>Subsurface flow</subject><subject>Sulfates</subject><subject>Temporal variability</subject><subject>Temporal variations</subject><subject>Tracers</subject><subject>Transport</subject><subject>Variability</subject><subject>Water quality</subject><subject>Water resources</subject><subject>Water supply</subject><subject>Watersheds</subject><issn>0043-1397</issn><issn>1944-7973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp9kc1O3DAQgK2KSl1ob30Aq1xJ6584sY_VCgoSVaWF1R4tx57sBgV7sZ2ivfURyivyJDUKB049jWb0zTejGYQ-U_KVEqa-McLYZkU4I614hxZU1XXVqpYfoQUhNa8oV-0HdJzSHSG0Fk27QE9r7yCmbLwb_BbnHeDLg4thC8Hu4H6wZsQrSPvgE-DQY4N_hslnM_gwJbwxuTTvwOF1emm_8hm2sRQdvplibyw8__l7M3VpTvDFGB5xGVWUxubhN-DbaHyxx1y8DsYi-Yje92ZM8Ok1nqD1xfnt8rK6_vXjavn9ujJcCVqJTtLOgepIr2iRK8W5dKw3siauI0703DIpmGyIk4o6aYU1qusYV0oQKvgJ-jJ7Q8qDTnbIYHc2eA82ayplOSYt0OkM7WN4mCBlfRem6MtemrWkbVgreFOos5myMaQUodf7ONybeNCU6JfP6LefKTif8cdhhMN_Wb1ZLVesoQ3l_wDu_JKT</recordid><startdate>202208</startdate><enddate>202208</enddate><creator>Xu, Zexuan</creator><creator>Molins, Sergi</creator><creator>Özgen‐Xian, Ilhan</creator><creator>Dwivedi, Dipankar</creator><creator>Svyatsky, Daniil</creator><creator>Moulton, J. David</creator><creator>Steefel, Carl</creator><general>John Wiley & Sons, Inc</general><general>American Geophysical Union (AGU)</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QL</scope><scope>7T7</scope><scope>7TG</scope><scope>7U9</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H94</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000-0003-4142-9914</orcidid><orcidid>https://orcid.org/0000-0003-1788-1900</orcidid><orcidid>https://orcid.org/0000-0002-2802-611X</orcidid><orcidid>https://orcid.org/0000-0001-9534-7370</orcidid><orcidid>https://orcid.org/0000-0001-7675-3218</orcidid><orcidid>https://orcid.org/000000022802611X</orcidid><orcidid>https://orcid.org/0000000341429914</orcidid><orcidid>https://orcid.org/0000000195347370</orcidid><orcidid>https://orcid.org/0000000317881900</orcidid><orcidid>https://orcid.org/0000000176753218</orcidid></search><sort><creationdate>202208</creationdate><title>Understanding the Hydrogeochemical Response of a Mountainous Watershed Using Integrated Surface‐Subsurface Flow and Reactive Transport Modeling</title><author>Xu, Zexuan ; Molins, Sergi ; Özgen‐Xian, Ilhan ; Dwivedi, Dipankar ; Svyatsky, Daniil ; Moulton, J. David ; Steefel, Carl</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3951-5b81bde9b0f91fac99338d2fa840db0d5f3c2852860d891d8c5ca9bb239950153</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>ATS</topic><topic>Calcite</topic><topic>Calcite dissolution</topic><topic>Calcium</topic><topic>Calcium content</topic><topic>Catchment area</topic><topic>Catchments</topic><topic>Chemical reactions</topic><topic>Chemical speciation</topic><topic>Climate change</topic><topic>Climate change models</topic><topic>Climate models</topic><topic>Climate variability</topic><topic>Climatic conditions</topic><topic>concentration‐Discharge</topic><topic>Dilution</topic><topic>Dissolution</topic><topic>Dissolving</topic><topic>Disturbances</topic><topic>ENVIRONMENTAL SCIENCES</topic><topic>Evapotranspiration</topic><topic>Evapotranspiration processes</topic><topic>Exports</topic><topic>Groundwater</topic><topic>Headwater catchments</topic><topic>Headwaters</topic><topic>high‐performance computing</topic><topic>Hydrogeochemistry</topic><topic>Hydrologic models</topic><topic>Hydrologic processes</topic><topic>Hydrology</topic><topic>Mathematical models</topic><topic>Mineral composition</topic><topic>Minerals</topic><topic>Modelling</topic><topic>mountainous watershed</topic><topic>Mountains</topic><topic>Pyrite</topic><topic>Rainfall</topic><topic>reactive transport modeling</topic><topic>River basin development</topic><topic>River basins</topic><topic>River valleys</topic><topic>Rivers</topic><topic>Saturation</topic><topic>Snowmelt</topic><topic>Snowpack</topic><topic>Solutes</topic><topic>Stream discharge</topic><topic>Streams</topic><topic>Subsurface flow</topic><topic>Sulfates</topic><topic>Temporal variability</topic><topic>Temporal variations</topic><topic>Tracers</topic><topic>Transport</topic><topic>Variability</topic><topic>Water quality</topic><topic>Water resources</topic><topic>Water supply</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Zexuan</creatorcontrib><creatorcontrib>Molins, Sergi</creatorcontrib><creatorcontrib>Özgen‐Xian, Ilhan</creatorcontrib><creatorcontrib>Dwivedi, Dipankar</creatorcontrib><creatorcontrib>Svyatsky, Daniil</creatorcontrib><creatorcontrib>Moulton, J. David</creatorcontrib><creatorcontrib>Steefel, Carl</creatorcontrib><creatorcontrib>Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Open Access</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>OSTI.GOV</collection><jtitle>Water resources research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Zexuan</au><au>Molins, Sergi</au><au>Özgen‐Xian, Ilhan</au><au>Dwivedi, Dipankar</au><au>Svyatsky, Daniil</au><au>Moulton, J. David</au><au>Steefel, Carl</au><aucorp>Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Understanding the Hydrogeochemical Response of a Mountainous Watershed Using Integrated Surface‐Subsurface Flow and Reactive Transport Modeling</atitle><jtitle>Water resources research</jtitle><date>2022-08</date><risdate>2022</risdate><volume>58</volume><issue>8</issue><epage>n/a</epage><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>Climate change and other disturbances significantly impact hydrogeochemical exports from mountainous headwater catchments such as the Upper Colorado River Basin. Developing a mechanistic understanding of how the physical and chemical processes interact in time and space in an integrated manner is key to quantifying the future impacts of such disturbances. The hydrogeochemical response of a mountainous catchment in the 2010–2019 period is evaluated quantitatively using a high‐resolution model that simulates integrated hydrology, and transport and reactions for selected solutes and minerals. The model assumes that pyrite is present only at depth while calcite is distributed uniformly, and captures the observed C‐Q reasonably well. Distinct C‐Q dynamics are observed in an average (WY16), a wet (WY17), and a dry (WY18) water year. The model also quantifies the water fraction from surface, shallow and deep groundwater compartments using tracers, and suggests greater groundwater contributions to peak stream discharge in the dry WY18. Results demonstrate that calcium concentrations do not change significantly from year to year, while sulfate shows significant temporal variability. Pyrite dissolution is affected by the changing hydrological drivers where it is enhanced in the dry WY18; calcite dissolution supplements calcium dilution under high flow conditions. The model simulates the reaction hotspots controlled by hydrological conditions, and the spatially‐resolved results show that higher soil saturation and less snowpack occur earlier on the south‐facing side than on the north‐facing side. This is a first‐of‐its‐kind demonstration of a model that integrates hydrologic processes, including evapotranspiration, and reactive transport to enable a predictive understanding of hydrogeochemical exports.
Plain Language Summary
Climate change significantly impacts water resources, including water quantity and quality, particularly in mountainous headwater catchments such as the Upper Colorado River Basin that are key for water supply in downstream regions of the western U.S. In this work, we used a mathematical model to quantify the movement of water and chemical species under changing weather and climate conditions. Changing rainfall and early snowmelt affects both the volume of water and the amount of minerals that dissolve, impacting water quality observed at the gauged stations downstream. Consistent with the available measurements, the three‐dimensional model makes it possible to understand how the watershed's topography and the flow of water in the streams and the groundwater interact in time and in space. In particular, we found that the mineral composition with depth explains in part the changes in observed concentrations between dry and wet periods and that the north‐ and south‐facing slopes of the river valley contribute differently to these concentrations. These effects are relatively small in this study but larger climate variability could enhance them.
Key Points
Multi‐year calibration to discharge and chemical exports enables reasonable prediction of watershed hydro‐geochemical response
The role of vertical mineral heterogeneity is captured by differences in the C‐Q response in the wet and dry years
A heterogeneous landscape response is also observable but is diluted in terms of aggregate C‐Q response</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2022WR032075</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0003-4142-9914</orcidid><orcidid>https://orcid.org/0000-0003-1788-1900</orcidid><orcidid>https://orcid.org/0000-0002-2802-611X</orcidid><orcidid>https://orcid.org/0000-0001-9534-7370</orcidid><orcidid>https://orcid.org/0000-0001-7675-3218</orcidid><orcidid>https://orcid.org/000000022802611X</orcidid><orcidid>https://orcid.org/0000000341429914</orcidid><orcidid>https://orcid.org/0000000195347370</orcidid><orcidid>https://orcid.org/0000000317881900</orcidid><orcidid>https://orcid.org/0000000176753218</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
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ispartof | Water resources research, 2022-08, Vol.58 (8), p.n/a |
issn | 0043-1397 1944-7973 |
language | eng |
recordid | cdi_osti_scitechconnect_1882021 |
source | Wiley-Blackwell AGU Digital Archive |
subjects | ATS Calcite Calcite dissolution Calcium Calcium content Catchment area Catchments Chemical reactions Chemical speciation Climate change Climate change models Climate models Climate variability Climatic conditions concentration‐Discharge Dilution Dissolution Dissolving Disturbances ENVIRONMENTAL SCIENCES Evapotranspiration Evapotranspiration processes Exports Groundwater Headwater catchments Headwaters high‐performance computing Hydrogeochemistry Hydrologic models Hydrologic processes Hydrology Mathematical models Mineral composition Minerals Modelling mountainous watershed Mountains Pyrite Rainfall reactive transport modeling River basin development River basins River valleys Rivers Saturation Snowmelt Snowpack Solutes Stream discharge Streams Subsurface flow Sulfates Temporal variability Temporal variations Tracers Transport Variability Water quality Water resources Water supply Watersheds |
title | Understanding the Hydrogeochemical Response of a Mountainous Watershed Using Integrated Surface‐Subsurface Flow and Reactive Transport Modeling |
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