Evaluation of Groundwater Storage Depletion Using GRACE/GRACE Follow-On Data with Land Surface Models and Its Driving Factors in Haihe River Basin, China
Groundwater storage (GWS) in the Haihe River Basin (HRB), which is one of the most densely populated and largest agricultural areas in China, is of great importance for the ecosystem environment and socio-economic development. In recent years, large-scale overexploitation of groundwater in HRB has m...
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description | Groundwater storage (GWS) in the Haihe River Basin (HRB), which is one of the most densely populated and largest agricultural areas in China, is of great importance for the ecosystem environment and socio-economic development. In recent years, large-scale overexploitation of groundwater in HRB has made it one of the global hotspots of GWS depletion. In this study, monthly GWS variations in HRB from 2003 to 2020 were estimated using the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) data in combination with three land surface models (LSMs) from the Global Land Data Assimilation System (GLDAS). The results show the following: (1) HRB suffered extensive GWS depletion from 2003 to 2020, which has been aggravated since 2014, with a mean rate of 1.88 cm·yr−1, which is equivalent to a volume of 6 billion m3·yr−1. The GWS depletion is more serious in the plain zone (−2.36 cm·yr−1) than in the mountainous zone (−1.63 cm·yr−1). (2) Climate changes are excluded from the reasons for GWS depletion due to annual precipitation and evaporation being close to normal throughout the period. In addition, GWS changes show a low correlation with meteorological factors. (3) The consumption of groundwater for irrigation and land use/cover changes have been confirmed to be the dominant factors for GWS depletion in HRB. (4) The effects of inter-basin water transfer projects cannot be obviously observed using the GRACE and GRACE-FO; more inter-basin water transfers are needed for recovering the GWS in HRB. Therefore, it is imperative to control groundwater exploitation and develop a more economical agricultural irrigation structure for the sustainability of groundwater resources in HRB. |
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In recent years, large-scale overexploitation of groundwater in HRB has made it one of the global hotspots of GWS depletion. In this study, monthly GWS variations in HRB from 2003 to 2020 were estimated using the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) data in combination with three land surface models (LSMs) from the Global Land Data Assimilation System (GLDAS). The results show the following: (1) HRB suffered extensive GWS depletion from 2003 to 2020, which has been aggravated since 2014, with a mean rate of 1.88 cm·yr−1, which is equivalent to a volume of 6 billion m3·yr−1. The GWS depletion is more serious in the plain zone (−2.36 cm·yr−1) than in the mountainous zone (−1.63 cm·yr−1). (2) Climate changes are excluded from the reasons for GWS depletion due to annual precipitation and evaporation being close to normal throughout the period. In addition, GWS changes show a low correlation with meteorological factors. (3) The consumption of groundwater for irrigation and land use/cover changes have been confirmed to be the dominant factors for GWS depletion in HRB. (4) The effects of inter-basin water transfer projects cannot be obviously observed using the GRACE and GRACE-FO; more inter-basin water transfers are needed for recovering the GWS in HRB. Therefore, it is imperative to control groundwater exploitation and develop a more economical agricultural irrigation structure for the sustainability of groundwater resources in HRB.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su14031108</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Annual precipitation ; Aquifers ; Climate change ; Cultural centers ; Data collection ; Depletion ; Economic development ; Evaporation ; Freshwater resources ; GRACE (experiment) ; Groundwater ; Groundwater basins ; Groundwater depletion ; Groundwater irrigation ; Groundwater storage ; Hydrology ; Irrigation ; Laboratories ; Land use ; Overexploitation ; Population density ; Precipitation ; River basins ; Rivers ; Surface water ; Sustainability ; Water resources ; Water shortages ; Water transfer</subject><ispartof>Sustainability, 2022-02, Vol.14 (3), p.1108</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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-c295t-6f0feb2b95eb9652ae60f0ce427d7b69a4485754bb39e8f4e2e24265dc84edd53</citedby><cites>FETCH-LOGICAL-c295t-6f0feb2b95eb9652ae60f0ce427d7b69a4485754bb39e8f4e2e24265dc84edd53</cites><orcidid>0000-0002-5665-210X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930</link.rule.ids></links><search><creatorcontrib>Guo, Yi</creatorcontrib><creatorcontrib>Gan, Fuping</creatorcontrib><creatorcontrib>Yan, Baikun</creatorcontrib><creatorcontrib>Bai, Juan</creatorcontrib><creatorcontrib>Wang, Feng</creatorcontrib><creatorcontrib>Jiang, Ruirui</creatorcontrib><creatorcontrib>Xing, Naichen</creatorcontrib><creatorcontrib>Liu, Qi</creatorcontrib><title>Evaluation of Groundwater Storage Depletion Using GRACE/GRACE Follow-On Data with Land Surface Models and Its Driving Factors in Haihe River Basin, China</title><title>Sustainability</title><description>Groundwater storage (GWS) in the Haihe River Basin (HRB), which is one of the most densely populated and largest agricultural areas in China, is of great importance for the ecosystem environment and socio-economic development. In recent years, large-scale overexploitation of groundwater in HRB has made it one of the global hotspots of GWS depletion. In this study, monthly GWS variations in HRB from 2003 to 2020 were estimated using the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) data in combination with three land surface models (LSMs) from the Global Land Data Assimilation System (GLDAS). The results show the following: (1) HRB suffered extensive GWS depletion from 2003 to 2020, which has been aggravated since 2014, with a mean rate of 1.88 cm·yr−1, which is equivalent to a volume of 6 billion m3·yr−1. The GWS depletion is more serious in the plain zone (−2.36 cm·yr−1) than in the mountainous zone (−1.63 cm·yr−1). (2) Climate changes are excluded from the reasons for GWS depletion due to annual precipitation and evaporation being close to normal throughout the period. In addition, GWS changes show a low correlation with meteorological factors. (3) The consumption of groundwater for irrigation and land use/cover changes have been confirmed to be the dominant factors for GWS depletion in HRB. (4) The effects of inter-basin water transfer projects cannot be obviously observed using the GRACE and GRACE-FO; more inter-basin water transfers are needed for recovering the GWS in HRB. Therefore, it is imperative to control groundwater exploitation and develop a more economical agricultural irrigation structure for the sustainability of groundwater resources in HRB.</description><subject>Annual precipitation</subject><subject>Aquifers</subject><subject>Climate change</subject><subject>Cultural centers</subject><subject>Data collection</subject><subject>Depletion</subject><subject>Economic development</subject><subject>Evaporation</subject><subject>Freshwater resources</subject><subject>GRACE (experiment)</subject><subject>Groundwater</subject><subject>Groundwater basins</subject><subject>Groundwater depletion</subject><subject>Groundwater irrigation</subject><subject>Groundwater storage</subject><subject>Hydrology</subject><subject>Irrigation</subject><subject>Laboratories</subject><subject>Land use</subject><subject>Overexploitation</subject><subject>Population density</subject><subject>Precipitation</subject><subject>River basins</subject><subject>Rivers</subject><subject>Surface water</subject><subject>Sustainability</subject><subject>Water resources</subject><subject>Water shortages</subject><subject>Water transfer</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNkFtLw0AQhYMoWLQv_oIB38TYveX2WHuHSqG1z2GTTNotcbfuJi3-FP-taSvoPMwchsP54HjeAyUvnCek5xoqCKeUxFdeh5GI-pQE5PqfvvW6zu1IO5zThIYd73t0kFUja2U0mBIm1jS6OMoaLaxqY-UGYYj7Cs-GtVN6A5NlfzDqnTeMTVWZo7_QMJS1hKOqtzCXuoBVY0uZI7yZAisHp9esdjC06nDKGMu8TXegNEyl2iIs1aFFvsqW8AyDrdLy3rspZeWw-3vvvPV49D6Y-vPFZDboz_2cJUHthyUpMWNZEmCWhAGTGJKS5ChYVERZmEgh4iAKRJbxBONSIEMmWBgUeSywKAJ-5z1ecvfWfDbo6nRnGqtbZMpCFsUi5FHcup4urtwa5yyW6d6qD2m_UkrSU_vpX_v8B2bgdrM</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Guo, Yi</creator><creator>Gan, Fuping</creator><creator>Yan, Baikun</creator><creator>Bai, Juan</creator><creator>Wang, Feng</creator><creator>Jiang, Ruirui</creator><creator>Xing, Naichen</creator><creator>Liu, Qi</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-5665-210X</orcidid></search><sort><creationdate>20220201</creationdate><title>Evaluation of Groundwater Storage Depletion Using GRACE/GRACE Follow-On Data with Land Surface Models and Its Driving Factors in Haihe River Basin, China</title><author>Guo, Yi ; Gan, Fuping ; Yan, Baikun ; Bai, Juan ; Wang, Feng ; Jiang, Ruirui ; Xing, Naichen ; Liu, Qi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-6f0feb2b95eb9652ae60f0ce427d7b69a4485754bb39e8f4e2e24265dc84edd53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Annual precipitation</topic><topic>Aquifers</topic><topic>Climate change</topic><topic>Cultural centers</topic><topic>Data collection</topic><topic>Depletion</topic><topic>Economic development</topic><topic>Evaporation</topic><topic>Freshwater resources</topic><topic>GRACE (experiment)</topic><topic>Groundwater</topic><topic>Groundwater basins</topic><topic>Groundwater depletion</topic><topic>Groundwater irrigation</topic><topic>Groundwater storage</topic><topic>Hydrology</topic><topic>Irrigation</topic><topic>Laboratories</topic><topic>Land use</topic><topic>Overexploitation</topic><topic>Population density</topic><topic>Precipitation</topic><topic>River basins</topic><topic>Rivers</topic><topic>Surface water</topic><topic>Sustainability</topic><topic>Water resources</topic><topic>Water shortages</topic><topic>Water transfer</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, Yi</creatorcontrib><creatorcontrib>Gan, Fuping</creatorcontrib><creatorcontrib>Yan, Baikun</creatorcontrib><creatorcontrib>Bai, Juan</creatorcontrib><creatorcontrib>Wang, Feng</creatorcontrib><creatorcontrib>Jiang, Ruirui</creatorcontrib><creatorcontrib>Xing, Naichen</creatorcontrib><creatorcontrib>Liu, Qi</creatorcontrib><collection>CrossRef</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Yi</au><au>Gan, Fuping</au><au>Yan, Baikun</au><au>Bai, Juan</au><au>Wang, Feng</au><au>Jiang, Ruirui</au><au>Xing, Naichen</au><au>Liu, Qi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of Groundwater Storage Depletion Using GRACE/GRACE Follow-On Data with Land Surface Models and Its Driving Factors in Haihe River Basin, China</atitle><jtitle>Sustainability</jtitle><date>2022-02-01</date><risdate>2022</risdate><volume>14</volume><issue>3</issue><spage>1108</spage><pages>1108-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>Groundwater storage (GWS) in the Haihe River Basin (HRB), which is one of the most densely populated and largest agricultural areas in China, is of great importance for the ecosystem environment and socio-economic development. In recent years, large-scale overexploitation of groundwater in HRB has made it one of the global hotspots of GWS depletion. In this study, monthly GWS variations in HRB from 2003 to 2020 were estimated using the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) data in combination with three land surface models (LSMs) from the Global Land Data Assimilation System (GLDAS). The results show the following: (1) HRB suffered extensive GWS depletion from 2003 to 2020, which has been aggravated since 2014, with a mean rate of 1.88 cm·yr−1, which is equivalent to a volume of 6 billion m3·yr−1. The GWS depletion is more serious in the plain zone (−2.36 cm·yr−1) than in the mountainous zone (−1.63 cm·yr−1). (2) Climate changes are excluded from the reasons for GWS depletion due to annual precipitation and evaporation being close to normal throughout the period. In addition, GWS changes show a low correlation with meteorological factors. (3) The consumption of groundwater for irrigation and land use/cover changes have been confirmed to be the dominant factors for GWS depletion in HRB. (4) The effects of inter-basin water transfer projects cannot be obviously observed using the GRACE and GRACE-FO; more inter-basin water transfers are needed for recovering the GWS in HRB. Therefore, it is imperative to control groundwater exploitation and develop a more economical agricultural irrigation structure for the sustainability of groundwater resources in HRB.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su14031108</doi><orcidid>https://orcid.org/0000-0002-5665-210X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Annual precipitation Aquifers Climate change Cultural centers Data collection Depletion Economic development Evaporation Freshwater resources GRACE (experiment) Groundwater Groundwater basins Groundwater depletion Groundwater irrigation Groundwater storage Hydrology Irrigation Laboratories Land use Overexploitation Population density Precipitation River basins Rivers Surface water Sustainability Water resources Water shortages Water transfer |
title | Evaluation of Groundwater Storage Depletion Using GRACE/GRACE Follow-On Data with Land Surface Models and Its Driving Factors in Haihe River Basin, China |
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