Identifying interactions of linked irrigated lake-groundwater system by combining hydrodynamic and hydrochemical method
During the irrigation period, the interactions between the linked lake-groundwater systems are complicated and change. This is because natural and human activities are happening at the same time, which makes it harder to identify the interactions. This study uses data on water level, hydrochemistry,...
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| Veröffentlicht in: | Environmental science and pollution research international 2023-08, Vol.30 (40), p.91956-91970 |
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| creator | Li, MuRong Bian, Jianmin Wang, Yu Cui, Xinying Ding, Yuanfang Sun, Xiaoqing Wang, Fan Lou, Yuqi |
| description | During the irrigation period, the interactions between the linked lake-groundwater systems are complicated and change. This is because natural and human activities are happening at the same time, which makes it harder to identify the interactions. This study uses data on water level, hydrochemistry, and hydrogen-oxygen stable isotopes to analyze the hydrodynamics, electrical conductivity (EC), isotopic characteristics, and spatial distribution of lake water and groundwater to reveal lake-groundwater interactions. The results indicate that the hydrochemical type of Chagan Lake and groundwater is dominated by the HCO
3
-Na type. The key hydrochemical indicator EC obtained by principal component analysis (PCA) can be used to reveal the lake–groundwater interaction, and the interaction should be identified by location according to the significant correlation between hierarchical clustering results and regional distribution. The lake body’s geographic coefficient of variation for EC and δ
18
O is small, and irrigation return flow is one factor in the region’s surface water’s significant spatial variation for EC and δ
18
O. The three study methods indicate that the groundwater supplies the lake in the vicinity of the Huoling River-Hongzi Pool, while in other sections, the lake water leaks and replenishes the groundwater, exhibiting geographic inconsistency. The isotope method was employed as a support tool to determine that groundwater might recharge the lake at Xinmiao Pool. According to the calculations of the Mix SIAR model, the groundwater recharge contribution rate in the Xinmiao Pool section is approximately 51%, while in the remaining sections, the contribution rate of lake water to groundwater ranges from approximately 25% to 52%. Therefore, the identification of the interaction is crucial for the linked irrigated lake-groundwater system where water sources are scarce and threatened by agricultural pollution.
Graphical Abstract |
| doi_str_mv | 10.1007/s11356-023-28884-0 |
| format | Article |
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3
-Na type. The key hydrochemical indicator EC obtained by principal component analysis (PCA) can be used to reveal the lake–groundwater interaction, and the interaction should be identified by location according to the significant correlation between hierarchical clustering results and regional distribution. The lake body’s geographic coefficient of variation for EC and δ
18
O is small, and irrigation return flow is one factor in the region’s surface water’s significant spatial variation for EC and δ
18
O. The three study methods indicate that the groundwater supplies the lake in the vicinity of the Huoling River-Hongzi Pool, while in other sections, the lake water leaks and replenishes the groundwater, exhibiting geographic inconsistency. The isotope method was employed as a support tool to determine that groundwater might recharge the lake at Xinmiao Pool. According to the calculations of the Mix SIAR model, the groundwater recharge contribution rate in the Xinmiao Pool section is approximately 51%, while in the remaining sections, the contribution rate of lake water to groundwater ranges from approximately 25% to 52%. Therefore, the identification of the interaction is crucial for the linked irrigated lake-groundwater system where water sources are scarce and threatened by agricultural pollution.
Graphical Abstract</description><identifier>ISSN: 1614-7499</identifier><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-023-28884-0</identifier><identifier>PMID: 37480540</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Agricultural pollution ; Agricultural wastes ; Agriculture ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Cluster analysis ; Clustering ; Coefficient of variation ; drainage water ; Earth and Environmental Science ; Ecotoxicology ; Electrical conductivity ; Electrical resistivity ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental science ; Geographical distribution ; Groundwater ; Groundwater irrigation ; Groundwater recharge ; Humans ; hydrochemistry ; Hydrodynamics ; Irrigation ; irrigation scheduling ; Irrigation systems ; Isotopes ; Lakes ; Mathematical analysis ; Oxygen Isotopes ; principal component analysis ; Principal components analysis ; Research Article ; Return flow ; Spatial distribution ; Spatial variations ; Stable isotopes ; Surface water ; Waste Water Technology ; Water ; Water levels ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2023-08, Vol.30 (40), p.91956-91970</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-3328b6d0b5d3d5b4af2bf9e94413986c4e5bc56d1271fa2f5bb95792564184d43</citedby><cites>FETCH-LOGICAL-c408t-3328b6d0b5d3d5b4af2bf9e94413986c4e5bc56d1271fa2f5bb95792564184d43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-023-28884-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-023-28884-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37480540$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, MuRong</creatorcontrib><creatorcontrib>Bian, Jianmin</creatorcontrib><creatorcontrib>Wang, Yu</creatorcontrib><creatorcontrib>Cui, Xinying</creatorcontrib><creatorcontrib>Ding, Yuanfang</creatorcontrib><creatorcontrib>Sun, Xiaoqing</creatorcontrib><creatorcontrib>Wang, Fan</creatorcontrib><creatorcontrib>Lou, Yuqi</creatorcontrib><title>Identifying interactions of linked irrigated lake-groundwater system by combining hydrodynamic and hydrochemical method</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>During the irrigation period, the interactions between the linked lake-groundwater systems are complicated and change. This is because natural and human activities are happening at the same time, which makes it harder to identify the interactions. This study uses data on water level, hydrochemistry, and hydrogen-oxygen stable isotopes to analyze the hydrodynamics, electrical conductivity (EC), isotopic characteristics, and spatial distribution of lake water and groundwater to reveal lake-groundwater interactions. The results indicate that the hydrochemical type of Chagan Lake and groundwater is dominated by the HCO
3
-Na type. The key hydrochemical indicator EC obtained by principal component analysis (PCA) can be used to reveal the lake–groundwater interaction, and the interaction should be identified by location according to the significant correlation between hierarchical clustering results and regional distribution. The lake body’s geographic coefficient of variation for EC and δ
18
O is small, and irrigation return flow is one factor in the region’s surface water’s significant spatial variation for EC and δ
18
O. The three study methods indicate that the groundwater supplies the lake in the vicinity of the Huoling River-Hongzi Pool, while in other sections, the lake water leaks and replenishes the groundwater, exhibiting geographic inconsistency. The isotope method was employed as a support tool to determine that groundwater might recharge the lake at Xinmiao Pool. According to the calculations of the Mix SIAR model, the groundwater recharge contribution rate in the Xinmiao Pool section is approximately 51%, while in the remaining sections, the contribution rate of lake water to groundwater ranges from approximately 25% to 52%. Therefore, the identification of the interaction is crucial for the linked irrigated lake-groundwater system where water sources are scarce and threatened by agricultural pollution.
Graphical Abstract</description><subject>Agricultural pollution</subject><subject>Agricultural wastes</subject><subject>Agriculture</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Cluster analysis</subject><subject>Clustering</subject><subject>Coefficient of variation</subject><subject>drainage water</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Electrical conductivity</subject><subject>Electrical resistivity</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental science</subject><subject>Geographical distribution</subject><subject>Groundwater</subject><subject>Groundwater irrigation</subject><subject>Groundwater recharge</subject><subject>Humans</subject><subject>hydrochemistry</subject><subject>Hydrodynamics</subject><subject>Irrigation</subject><subject>irrigation scheduling</subject><subject>Irrigation systems</subject><subject>Isotopes</subject><subject>Lakes</subject><subject>Mathematical analysis</subject><subject>Oxygen Isotopes</subject><subject>principal component analysis</subject><subject>Principal components analysis</subject><subject>Research Article</subject><subject>Return flow</subject><subject>Spatial distribution</subject><subject>Spatial variations</subject><subject>Stable isotopes</subject><subject>Surface water</subject><subject>Waste Water Technology</subject><subject>Water</subject><subject>Water levels</subject><subject>Water Management</subject><subject>Water Pollution 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interactions of linked irrigated lake-groundwater system by combining hydrodynamic and hydrochemical method</title><author>Li, MuRong ; Bian, Jianmin ; Wang, Yu ; Cui, Xinying ; Ding, Yuanfang ; Sun, Xiaoqing ; Wang, Fan ; Lou, Yuqi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-3328b6d0b5d3d5b4af2bf9e94413986c4e5bc56d1271fa2f5bb95792564184d43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Agricultural pollution</topic><topic>Agricultural wastes</topic><topic>Agriculture</topic><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Cluster analysis</topic><topic>Clustering</topic><topic>Coefficient of variation</topic><topic>drainage water</topic><topic>Earth and Environmental Science</topic><topic>Ecotoxicology</topic><topic>Electrical conductivity</topic><topic>Electrical 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- Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, MuRong</au><au>Bian, Jianmin</au><au>Wang, Yu</au><au>Cui, Xinying</au><au>Ding, Yuanfang</au><au>Sun, Xiaoqing</au><au>Wang, Fan</au><au>Lou, Yuqi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying interactions of linked irrigated lake-groundwater system by combining hydrodynamic and hydrochemical method</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2023-08-01</date><risdate>2023</risdate><volume>30</volume><issue>40</issue><spage>91956</spage><epage>91970</epage><pages>91956-91970</pages><issn>1614-7499</issn><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>During the irrigation period, the interactions between the linked lake-groundwater systems are complicated and change. This is because natural and human activities are happening at the same time, which makes it harder to identify the interactions. This study uses data on water level, hydrochemistry, and hydrogen-oxygen stable isotopes to analyze the hydrodynamics, electrical conductivity (EC), isotopic characteristics, and spatial distribution of lake water and groundwater to reveal lake-groundwater interactions. The results indicate that the hydrochemical type of Chagan Lake and groundwater is dominated by the HCO
3
-Na type. The key hydrochemical indicator EC obtained by principal component analysis (PCA) can be used to reveal the lake–groundwater interaction, and the interaction should be identified by location according to the significant correlation between hierarchical clustering results and regional distribution. The lake body’s geographic coefficient of variation for EC and δ
18
O is small, and irrigation return flow is one factor in the region’s surface water’s significant spatial variation for EC and δ
18
O. The three study methods indicate that the groundwater supplies the lake in the vicinity of the Huoling River-Hongzi Pool, while in other sections, the lake water leaks and replenishes the groundwater, exhibiting geographic inconsistency. The isotope method was employed as a support tool to determine that groundwater might recharge the lake at Xinmiao Pool. According to the calculations of the Mix SIAR model, the groundwater recharge contribution rate in the Xinmiao Pool section is approximately 51%, while in the remaining sections, the contribution rate of lake water to groundwater ranges from approximately 25% to 52%. Therefore, the identification of the interaction is crucial for the linked irrigated lake-groundwater system where water sources are scarce and threatened by agricultural pollution.
Graphical Abstract</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>37480540</pmid><doi>10.1007/s11356-023-28884-0</doi><tpages>15</tpages></addata></record> |
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| subjects | Agricultural pollution Agricultural wastes Agriculture Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Cluster analysis Clustering Coefficient of variation drainage water Earth and Environmental Science Ecotoxicology Electrical conductivity Electrical resistivity Environment Environmental Chemistry Environmental Health Environmental science Geographical distribution Groundwater Groundwater irrigation Groundwater recharge Humans hydrochemistry Hydrodynamics Irrigation irrigation scheduling Irrigation systems Isotopes Lakes Mathematical analysis Oxygen Isotopes principal component analysis Principal components analysis Research Article Return flow Spatial distribution Spatial variations Stable isotopes Surface water Waste Water Technology Water Water levels Water Management Water Pollution Control |
| title | Identifying interactions of linked irrigated lake-groundwater system by combining hydrodynamic and hydrochemical method |
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