Spatio‐temporal patterns and quantification of lake–groundwater interaction determined in a large water transfer lake
The exchange rate is often characterized by spatio‐temporal heterogeneity, but the spatio‐temporal patterns of exchange rate have rarely been quantified, especially in water transfer lakes. This study was conducted from March to July 2021. The tracer data of δ2H, δ18O (n = 121), 222Rn (n = 522), Cl...
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description | The exchange rate is often characterized by spatio‐temporal heterogeneity, but the spatio‐temporal patterns of exchange rate have rarely been quantified, especially in water transfer lakes. This study was conducted from March to July 2021. The tracer data of δ2H, δ18O (n = 121), 222Rn (n = 522), Cl (n = 151), TDS (n = 155) in lake water, shallow groundwater (7–10 m), deep groundwater (25–40 m), and an improved single‐well radon model were applied in 3 (A, B and C) typical areas (~1 km2) of the Hongze lake. The results show that during the water transfer period (March to May) the rising lake level from normal water level (13 m asl) to the storage level (13.5 m asl), caused the exchange rate to increase from −6.3 × 10−7 to 33.2 × 10−7 m/s. All tracers in groundwater of A and C were continuously diluted by lake water, but shown a better mixing of the lake water, shallow and deep groundwater in area B with a water transfer channel/river (~−100 m3/s). In rainstorm season (June and July), the exchange rate changed from 3.4 × 10−7 to −44.8 × 10−7 m/s due to the high groundwater table (13–15 m asl) caused by flood and rainstorm. The rainstorm imposed the inflow of both shallow and deep groundwater into lake in river areas (A and B), but only shallow groundwater recharged lake in non‐river area (C). Additionally, the exchange rate of the whole lake was estimated by the water balance equation, which varied between −1011 and 458 m3/s with an average of −26 m3/s. Finally, a conceptual model of exchange rate among lake, shallow and deep groundwater under spatio‐temporal heterogeneity is proposed. The findings offer better understanding of the spatio‐temporal heterogeneity of lake–groundwater interaction and the effects on lake water balance and recharge systems.
The conceptual model in this article reveals the temporal and spatial heterogeneity of the exchange rate among lake water, shallow groundwater and deep groundwater in the large water transfer lake (The Hongze lake, China), and especially determines how the hydrological process in the water transfer river/canals, natural river and no river areas affect the groundwater table, the lake–groundwater exchange rate, and the interaction among lake water, shallow groundwater, deep groundwater under water transfer behaviours and rainstorm period. |
doi_str_mv | 10.1002/hyp.14867 |
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The conceptual model in this article reveals the temporal and spatial heterogeneity of the exchange rate among lake water, shallow groundwater and deep groundwater in the large water transfer lake (The Hongze lake, China), and especially determines how the hydrological process in the water transfer river/canals, natural river and no river areas affect the groundwater table, the lake–groundwater exchange rate, and the interaction among lake water, shallow groundwater, deep groundwater under water transfer behaviours and rainstorm period.</description><identifier>ISSN: 0885-6087</identifier><identifier>EISSN: 1099-1085</identifier><identifier>DOI: 10.1002/hyp.14867</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>exchange rate ; Foreign exchange rates ; Groundwater ; Groundwater levels ; Groundwater recharge ; Groundwater table ; Heterogeneity ; Inflow ; Lake effects ; Lake water ; Lakes ; Radon ; Radon isotopes ; Rainstorms ; River channels ; Rivers ; stable isotopes ; Storage ; the Hongze lake ; Tracers ; water ; Water balance ; Water inflow ; Water levels ; Water table ; Water transfer</subject><ispartof>Hydrological processes, 2023-04, Vol.37 (4), p.n/a</ispartof><rights>2023 John Wiley & Sons Ltd.</rights><rights>2023 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2977-5ac1f49a9f8165ade7e561cce84906bd14490a8e9a6a27605f978a9d449675653</citedby><cites>FETCH-LOGICAL-c2977-5ac1f49a9f8165ade7e561cce84906bd14490a8e9a6a27605f978a9d449675653</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fhyp.14867$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhyp.14867$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Xiong, Ling</creatorcontrib><creatorcontrib>Aldahan, Ala</creatorcontrib><creatorcontrib>Qian, Ruizhi</creatorcontrib><creatorcontrib>Yi, Peng</creatorcontrib><creatorcontrib>Chen, Xuegao</creatorcontrib><creatorcontrib>Li, Kai</creatorcontrib><creatorcontrib>Fang, Jinzhu</creatorcontrib><creatorcontrib>Wang, Lu</creatorcontrib><creatorcontrib>He, Peng</creatorcontrib><title>Spatio‐temporal patterns and quantification of lake–groundwater interaction determined in a large water transfer lake</title><title>Hydrological processes</title><description>The exchange rate is often characterized by spatio‐temporal heterogeneity, but the spatio‐temporal patterns of exchange rate have rarely been quantified, especially in water transfer lakes. This study was conducted from March to July 2021. The tracer data of δ2H, δ18O (n = 121), 222Rn (n = 522), Cl (n = 151), TDS (n = 155) in lake water, shallow groundwater (7–10 m), deep groundwater (25–40 m), and an improved single‐well radon model were applied in 3 (A, B and C) typical areas (~1 km2) of the Hongze lake. The results show that during the water transfer period (March to May) the rising lake level from normal water level (13 m asl) to the storage level (13.5 m asl), caused the exchange rate to increase from −6.3 × 10−7 to 33.2 × 10−7 m/s. All tracers in groundwater of A and C were continuously diluted by lake water, but shown a better mixing of the lake water, shallow and deep groundwater in area B with a water transfer channel/river (~−100 m3/s). In rainstorm season (June and July), the exchange rate changed from 3.4 × 10−7 to −44.8 × 10−7 m/s due to the high groundwater table (13–15 m asl) caused by flood and rainstorm. The rainstorm imposed the inflow of both shallow and deep groundwater into lake in river areas (A and B), but only shallow groundwater recharged lake in non‐river area (C). Additionally, the exchange rate of the whole lake was estimated by the water balance equation, which varied between −1011 and 458 m3/s with an average of −26 m3/s. Finally, a conceptual model of exchange rate among lake, shallow and deep groundwater under spatio‐temporal heterogeneity is proposed. The findings offer better understanding of the spatio‐temporal heterogeneity of lake–groundwater interaction and the effects on lake water balance and recharge systems.
The conceptual model in this article reveals the temporal and spatial heterogeneity of the exchange rate among lake water, shallow groundwater and deep groundwater in the large water transfer lake (The Hongze lake, China), and especially determines how the hydrological process in the water transfer river/canals, natural river and no river areas affect the groundwater table, the lake–groundwater exchange rate, and the interaction among lake water, shallow groundwater, deep groundwater under water transfer behaviours and rainstorm period.</description><subject>exchange rate</subject><subject>Foreign exchange rates</subject><subject>Groundwater</subject><subject>Groundwater levels</subject><subject>Groundwater recharge</subject><subject>Groundwater table</subject><subject>Heterogeneity</subject><subject>Inflow</subject><subject>Lake effects</subject><subject>Lake water</subject><subject>Lakes</subject><subject>Radon</subject><subject>Radon isotopes</subject><subject>Rainstorms</subject><subject>River channels</subject><subject>Rivers</subject><subject>stable isotopes</subject><subject>Storage</subject><subject>the Hongze lake</subject><subject>Tracers</subject><subject>water</subject><subject>Water balance</subject><subject>Water inflow</subject><subject>Water levels</subject><subject>Water table</subject><subject>Water transfer</subject><issn>0885-6087</issn><issn>1099-1085</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp10M1KAzEQB_AgCtbqwTcIePKwbbLdfB1F1AoFBfXgKYy7Sd26zW6TLWVvfQTBN-yTmHa9epkZhl8m8EfokpIRJSQdf3bNiGaSiyM0oESphBLJjtGASMkSTqQ4RWchLAghGZFkgLqXBtqy3m2_W7Nsag8VjovWeBcwuAKv1uDa0pb5XjlcW1zBl9ltf-a-XrtiA5Hi0sUK-UEUJs7L0pkirjFE7ucG96714IKNw_7GOTqxUAVz8deH6O3-7vV2msyeHh5vb2ZJniohEgY5tZkCZSXlDAojDOM0z43MFOEfBc1iB2kUcEgFJ8wqIUEVcc0F42wyRFf93cbXq7UJrV7Ua-_ilzqVhE1iyVRU173KfR2CN1Y3vlyC7zQlep-sjsnqQ7LRjnu7KSvT_Q_19P25f_ELG-R-rw</recordid><startdate>202304</startdate><enddate>202304</enddate><creator>Xiong, Ling</creator><creator>Aldahan, Ala</creator><creator>Qian, Ruizhi</creator><creator>Yi, Peng</creator><creator>Chen, Xuegao</creator><creator>Li, Kai</creator><creator>Fang, Jinzhu</creator><creator>Wang, Lu</creator><creator>He, Peng</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>SOI</scope></search><sort><creationdate>202304</creationdate><title>Spatio‐temporal patterns and quantification of lake–groundwater interaction determined in a large water transfer lake</title><author>Xiong, Ling ; Aldahan, Ala ; Qian, Ruizhi ; Yi, Peng ; Chen, Xuegao ; Li, Kai ; Fang, Jinzhu ; Wang, Lu ; He, Peng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2977-5ac1f49a9f8165ade7e561cce84906bd14490a8e9a6a27605f978a9d449675653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>exchange rate</topic><topic>Foreign exchange rates</topic><topic>Groundwater</topic><topic>Groundwater levels</topic><topic>Groundwater recharge</topic><topic>Groundwater table</topic><topic>Heterogeneity</topic><topic>Inflow</topic><topic>Lake effects</topic><topic>Lake water</topic><topic>Lakes</topic><topic>Radon</topic><topic>Radon isotopes</topic><topic>Rainstorms</topic><topic>River channels</topic><topic>Rivers</topic><topic>stable isotopes</topic><topic>Storage</topic><topic>the Hongze lake</topic><topic>Tracers</topic><topic>water</topic><topic>Water balance</topic><topic>Water inflow</topic><topic>Water levels</topic><topic>Water table</topic><topic>Water transfer</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xiong, Ling</creatorcontrib><creatorcontrib>Aldahan, Ala</creatorcontrib><creatorcontrib>Qian, Ruizhi</creatorcontrib><creatorcontrib>Yi, Peng</creatorcontrib><creatorcontrib>Chen, Xuegao</creatorcontrib><creatorcontrib>Li, Kai</creatorcontrib><creatorcontrib>Fang, Jinzhu</creatorcontrib><creatorcontrib>Wang, Lu</creatorcontrib><creatorcontrib>He, Peng</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical 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>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>Environment Abstracts</collection><jtitle>Hydrological processes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xiong, Ling</au><au>Aldahan, Ala</au><au>Qian, Ruizhi</au><au>Yi, Peng</au><au>Chen, Xuegao</au><au>Li, Kai</au><au>Fang, Jinzhu</au><au>Wang, Lu</au><au>He, Peng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatio‐temporal patterns and quantification of lake–groundwater interaction determined in a large water transfer lake</atitle><jtitle>Hydrological processes</jtitle><date>2023-04</date><risdate>2023</risdate><volume>37</volume><issue>4</issue><epage>n/a</epage><issn>0885-6087</issn><eissn>1099-1085</eissn><abstract>The exchange rate is often characterized by spatio‐temporal heterogeneity, but the spatio‐temporal patterns of exchange rate have rarely been quantified, especially in water transfer lakes. This study was conducted from March to July 2021. The tracer data of δ2H, δ18O (n = 121), 222Rn (n = 522), Cl (n = 151), TDS (n = 155) in lake water, shallow groundwater (7–10 m), deep groundwater (25–40 m), and an improved single‐well radon model were applied in 3 (A, B and C) typical areas (~1 km2) of the Hongze lake. The results show that during the water transfer period (March to May) the rising lake level from normal water level (13 m asl) to the storage level (13.5 m asl), caused the exchange rate to increase from −6.3 × 10−7 to 33.2 × 10−7 m/s. All tracers in groundwater of A and C were continuously diluted by lake water, but shown a better mixing of the lake water, shallow and deep groundwater in area B with a water transfer channel/river (~−100 m3/s). In rainstorm season (June and July), the exchange rate changed from 3.4 × 10−7 to −44.8 × 10−7 m/s due to the high groundwater table (13–15 m asl) caused by flood and rainstorm. The rainstorm imposed the inflow of both shallow and deep groundwater into lake in river areas (A and B), but only shallow groundwater recharged lake in non‐river area (C). Additionally, the exchange rate of the whole lake was estimated by the water balance equation, which varied between −1011 and 458 m3/s with an average of −26 m3/s. Finally, a conceptual model of exchange rate among lake, shallow and deep groundwater under spatio‐temporal heterogeneity is proposed. The findings offer better understanding of the spatio‐temporal heterogeneity of lake–groundwater interaction and the effects on lake water balance and recharge systems.
The conceptual model in this article reveals the temporal and spatial heterogeneity of the exchange rate among lake water, shallow groundwater and deep groundwater in the large water transfer lake (The Hongze lake, China), and especially determines how the hydrological process in the water transfer river/canals, natural river and no river areas affect the groundwater table, the lake–groundwater exchange rate, and the interaction among lake water, shallow groundwater, deep groundwater under water transfer behaviours and rainstorm period.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/hyp.14867</doi><tpages>16</tpages></addata></record> |
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subjects | exchange rate Foreign exchange rates Groundwater Groundwater levels Groundwater recharge Groundwater table Heterogeneity Inflow Lake effects Lake water Lakes Radon Radon isotopes Rainstorms River channels Rivers stable isotopes Storage the Hongze lake Tracers water Water balance Water inflow Water levels Water table Water transfer |
title | Spatio‐temporal patterns and quantification of lake–groundwater interaction determined in a large water transfer lake |
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