Low-Impact Optimal Operation of a Cascade Sluice-Reservoir System for Water-Society-Ecology Trade-Offs
As an important measure used to balance the trade-offs of industrial, domestic, and ecological water use sectors, the low-impact optimal operation model of the cascade sluice-reservoir system (CSRS) has developed into an international concern. Limited by insufficient water storage and a deterioratin...
Gespeichert in:
Veröffentlicht in: | Water resources management 2022-12, Vol.36 (15), p.6131-6148 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 6148 |
---|---|
container_issue | 15 |
container_start_page | 6131 |
container_title | Water resources management |
container_volume | 36 |
creator | Zhang, Xiang Deng, Liangkun Wu, Bi Gao, Shichun Xiao, Yi |
description | As an important measure used to balance the trade-offs of industrial, domestic, and ecological water use sectors, the low-impact optimal operation model of the cascade sluice-reservoir system (CSRS) has developed into an international concern. Limited by insufficient water storage and a deteriorating ecological environment, the actual operation ability (AOA) deviates from the originally planned ability and cannot function effectively as expected. However, the focus on the quantification of the AOA of the CSRS and its applications in water resources allocation have not received sufficient attention. This paper first constructed a multi-indicator evaluation system of the AOA consisting of water quantity, water quality, water ecology, engineering, and socioeconomic elements. Second, based on the quantified AOA, a multi-objective optimal operation model of the CSRS was proposed to lower water deficiency and pollutant loads and to reduce the negative impact on the social economy, water ecology and environment. The Shaying River basin (SRB), a human-altered basin with fierce water use competition, was selected as the study area. The results indicate that (1) the elements of water quality and water ecology are the main factors limiting the AOA. Moreover, the evaluation system is able to accurately demonstrate the evolution of the water management policies. (2) The low-impact optimal operation scheme has a stronger superiority with less water shortages in both city units and ecology, especially when the inflow is less and the benefits of agricultural, industrial and domestic water use are prioritized. The model contributes to the knowledge of water-society-ecology trade-offs. |
doi_str_mv | 10.1007/s11269-022-03345-4 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2747121280</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2747121280</sourcerecordid><originalsourceid>FETCH-LOGICAL-c249t-f220fc444655eb31ca2df1bcb3262e3d66289ea6b4a0df614b983948bcdc25073</originalsourceid><addsrcrecordid>eNp9kE1LAzEURYMoWKt_wFXAdTR5yWRmllLqBxQKtuIyZDJJmTJtapIq8--NjuDO1d3ccx_vIHTN6C2jtLyLjIGsCQUglHNREHGCJqwoOWGyoKdoQmugRJSCnaOLGLeUZqymE-QW_pM87w7aJLw8pG6n-5w26NT5PfYOazzT0ejW4lV_7IwlLzba8OG7gFdDTHaHnQ_4TScbyMqbzqaBzI3v_WbA65A5snQuXqIzp_tor35zil4f5uvZE1ksH59n9wtiQNSJOADqjBBCFoVtODMaWsca03CQYHkrJVS11bIRmrZOMtHUFa9F1ZjWQEFLPkU34-4h-PejjUlt_THs80kFpSgZMKhobsHYMsHHGKxTh5A_D4NiVH37VKNPlX2qH59KZIiPUMzl_caGv-l_qC_1EHg-</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2747121280</pqid></control><display><type>article</type><title>Low-Impact Optimal Operation of a Cascade Sluice-Reservoir System for Water-Society-Ecology Trade-Offs</title><source>SpringerLink Journals - AutoHoldings</source><creator>Zhang, Xiang ; Deng, Liangkun ; Wu, Bi ; Gao, Shichun ; Xiao, Yi</creator><creatorcontrib>Zhang, Xiang ; Deng, Liangkun ; Wu, Bi ; Gao, Shichun ; Xiao, Yi</creatorcontrib><description>As an important measure used to balance the trade-offs of industrial, domestic, and ecological water use sectors, the low-impact optimal operation model of the cascade sluice-reservoir system (CSRS) has developed into an international concern. Limited by insufficient water storage and a deteriorating ecological environment, the actual operation ability (AOA) deviates from the originally planned ability and cannot function effectively as expected. However, the focus on the quantification of the AOA of the CSRS and its applications in water resources allocation have not received sufficient attention. This paper first constructed a multi-indicator evaluation system of the AOA consisting of water quantity, water quality, water ecology, engineering, and socioeconomic elements. Second, based on the quantified AOA, a multi-objective optimal operation model of the CSRS was proposed to lower water deficiency and pollutant loads and to reduce the negative impact on the social economy, water ecology and environment. The Shaying River basin (SRB), a human-altered basin with fierce water use competition, was selected as the study area. The results indicate that (1) the elements of water quality and water ecology are the main factors limiting the AOA. Moreover, the evaluation system is able to accurately demonstrate the evolution of the water management policies. (2) The low-impact optimal operation scheme has a stronger superiority with less water shortages in both city units and ecology, especially when the inflow is less and the benefits of agricultural, industrial and domestic water use are prioritized. The model contributes to the knowledge of water-society-ecology trade-offs.</description><identifier>ISSN: 0920-4741</identifier><identifier>EISSN: 1573-1650</identifier><identifier>DOI: 10.1007/s11269-022-03345-4</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Ammonium nitrogen ; Atmospheric Sciences ; Civil Engineering ; Domestic water ; Earth and Environmental Science ; Earth Sciences ; Ecology ; Environment ; Evaluation ; Geotechnical Engineering & Applied Earth Sciences ; Hydrogeology ; Hydrology/Water Resources ; Impact analysis ; Inflow ; Pollutant load ; Pollutants ; Pollution load ; Reservoirs ; Resource allocation ; River basins ; Tradeoffs ; Water management ; Water pollution ; Water quality ; Water resources ; Water shortages ; Water storage ; Water supply ; Water use</subject><ispartof>Water resources management, 2022-12, Vol.36 (15), p.6131-6148</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2022. Springer Nature or its licensor 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><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c249t-f220fc444655eb31ca2df1bcb3262e3d66289ea6b4a0df614b983948bcdc25073</citedby><cites>FETCH-LOGICAL-c249t-f220fc444655eb31ca2df1bcb3262e3d66289ea6b4a0df614b983948bcdc25073</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/s11269-022-03345-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11269-022-03345-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Zhang, Xiang</creatorcontrib><creatorcontrib>Deng, Liangkun</creatorcontrib><creatorcontrib>Wu, Bi</creatorcontrib><creatorcontrib>Gao, Shichun</creatorcontrib><creatorcontrib>Xiao, Yi</creatorcontrib><title>Low-Impact Optimal Operation of a Cascade Sluice-Reservoir System for Water-Society-Ecology Trade-Offs</title><title>Water resources management</title><addtitle>Water Resour Manage</addtitle><description>As an important measure used to balance the trade-offs of industrial, domestic, and ecological water use sectors, the low-impact optimal operation model of the cascade sluice-reservoir system (CSRS) has developed into an international concern. Limited by insufficient water storage and a deteriorating ecological environment, the actual operation ability (AOA) deviates from the originally planned ability and cannot function effectively as expected. However, the focus on the quantification of the AOA of the CSRS and its applications in water resources allocation have not received sufficient attention. This paper first constructed a multi-indicator evaluation system of the AOA consisting of water quantity, water quality, water ecology, engineering, and socioeconomic elements. Second, based on the quantified AOA, a multi-objective optimal operation model of the CSRS was proposed to lower water deficiency and pollutant loads and to reduce the negative impact on the social economy, water ecology and environment. The Shaying River basin (SRB), a human-altered basin with fierce water use competition, was selected as the study area. The results indicate that (1) the elements of water quality and water ecology are the main factors limiting the AOA. Moreover, the evaluation system is able to accurately demonstrate the evolution of the water management policies. (2) The low-impact optimal operation scheme has a stronger superiority with less water shortages in both city units and ecology, especially when the inflow is less and the benefits of agricultural, industrial and domestic water use are prioritized. The model contributes to the knowledge of water-society-ecology trade-offs.</description><subject>Ammonium nitrogen</subject><subject>Atmospheric Sciences</subject><subject>Civil Engineering</subject><subject>Domestic water</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Ecology</subject><subject>Environment</subject><subject>Evaluation</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Hydrogeology</subject><subject>Hydrology/Water Resources</subject><subject>Impact analysis</subject><subject>Inflow</subject><subject>Pollutant load</subject><subject>Pollutants</subject><subject>Pollution load</subject><subject>Reservoirs</subject><subject>Resource allocation</subject><subject>River basins</subject><subject>Tradeoffs</subject><subject>Water management</subject><subject>Water pollution</subject><subject>Water quality</subject><subject>Water resources</subject><subject>Water shortages</subject><subject>Water storage</subject><subject>Water supply</subject><subject>Water use</subject><issn>0920-4741</issn><issn>1573-1650</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><sourceid>GNUQQ</sourceid><recordid>eNp9kE1LAzEURYMoWKt_wFXAdTR5yWRmllLqBxQKtuIyZDJJmTJtapIq8--NjuDO1d3ccx_vIHTN6C2jtLyLjIGsCQUglHNREHGCJqwoOWGyoKdoQmugRJSCnaOLGLeUZqymE-QW_pM87w7aJLw8pG6n-5w26NT5PfYOazzT0ejW4lV_7IwlLzba8OG7gFdDTHaHnQ_4TScbyMqbzqaBzI3v_WbA65A5snQuXqIzp_tor35zil4f5uvZE1ksH59n9wtiQNSJOADqjBBCFoVtODMaWsca03CQYHkrJVS11bIRmrZOMtHUFa9F1ZjWQEFLPkU34-4h-PejjUlt_THs80kFpSgZMKhobsHYMsHHGKxTh5A_D4NiVH37VKNPlX2qH59KZIiPUMzl_caGv-l_qC_1EHg-</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Zhang, Xiang</creator><creator>Deng, Liangkun</creator><creator>Wu, Bi</creator><creator>Gao, Shichun</creator><creator>Xiao, Yi</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7ST</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>KR7</scope><scope>L.-</scope><scope>L.G</scope><scope>L6V</scope><scope>LK8</scope><scope>M0C</scope><scope>M2P</scope><scope>M7P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>20221201</creationdate><title>Low-Impact Optimal Operation of a Cascade Sluice-Reservoir System for Water-Society-Ecology Trade-Offs</title><author>Zhang, Xiang ; Deng, Liangkun ; Wu, Bi ; Gao, Shichun ; Xiao, Yi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c249t-f220fc444655eb31ca2df1bcb3262e3d66289ea6b4a0df614b983948bcdc25073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Ammonium nitrogen</topic><topic>Atmospheric Sciences</topic><topic>Civil Engineering</topic><topic>Domestic water</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Ecology</topic><topic>Environment</topic><topic>Evaluation</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Hydrogeology</topic><topic>Hydrology/Water Resources</topic><topic>Impact analysis</topic><topic>Inflow</topic><topic>Pollutant load</topic><topic>Pollutants</topic><topic>Pollution load</topic><topic>Reservoirs</topic><topic>Resource allocation</topic><topic>River basins</topic><topic>Tradeoffs</topic><topic>Water management</topic><topic>Water pollution</topic><topic>Water quality</topic><topic>Water resources</topic><topic>Water shortages</topic><topic>Water storage</topic><topic>Water supply</topic><topic>Water use</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Xiang</creatorcontrib><creatorcontrib>Deng, Liangkun</creatorcontrib><creatorcontrib>Wu, Bi</creatorcontrib><creatorcontrib>Gao, Shichun</creatorcontrib><creatorcontrib>Xiao, Yi</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>ABI/INFORM Global</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Water resources management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Xiang</au><au>Deng, Liangkun</au><au>Wu, Bi</au><au>Gao, Shichun</au><au>Xiao, Yi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Low-Impact Optimal Operation of a Cascade Sluice-Reservoir System for Water-Society-Ecology Trade-Offs</atitle><jtitle>Water resources management</jtitle><stitle>Water Resour Manage</stitle><date>2022-12-01</date><risdate>2022</risdate><volume>36</volume><issue>15</issue><spage>6131</spage><epage>6148</epage><pages>6131-6148</pages><issn>0920-4741</issn><eissn>1573-1650</eissn><abstract>As an important measure used to balance the trade-offs of industrial, domestic, and ecological water use sectors, the low-impact optimal operation model of the cascade sluice-reservoir system (CSRS) has developed into an international concern. Limited by insufficient water storage and a deteriorating ecological environment, the actual operation ability (AOA) deviates from the originally planned ability and cannot function effectively as expected. However, the focus on the quantification of the AOA of the CSRS and its applications in water resources allocation have not received sufficient attention. This paper first constructed a multi-indicator evaluation system of the AOA consisting of water quantity, water quality, water ecology, engineering, and socioeconomic elements. Second, based on the quantified AOA, a multi-objective optimal operation model of the CSRS was proposed to lower water deficiency and pollutant loads and to reduce the negative impact on the social economy, water ecology and environment. The Shaying River basin (SRB), a human-altered basin with fierce water use competition, was selected as the study area. The results indicate that (1) the elements of water quality and water ecology are the main factors limiting the AOA. Moreover, the evaluation system is able to accurately demonstrate the evolution of the water management policies. (2) The low-impact optimal operation scheme has a stronger superiority with less water shortages in both city units and ecology, especially when the inflow is less and the benefits of agricultural, industrial and domestic water use are prioritized. The model contributes to the knowledge of water-society-ecology trade-offs.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11269-022-03345-4</doi><tpages>18</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0920-4741 |
ispartof | Water resources management, 2022-12, Vol.36 (15), p.6131-6148 |
issn | 0920-4741 1573-1650 |
language | eng |
recordid | cdi_proquest_journals_2747121280 |
source | SpringerLink Journals - AutoHoldings |
subjects | Ammonium nitrogen Atmospheric Sciences Civil Engineering Domestic water Earth and Environmental Science Earth Sciences Ecology Environment Evaluation Geotechnical Engineering & Applied Earth Sciences Hydrogeology Hydrology/Water Resources Impact analysis Inflow Pollutant load Pollutants Pollution load Reservoirs Resource allocation River basins Tradeoffs Water management Water pollution Water quality Water resources Water shortages Water storage Water supply Water use |
title | Low-Impact Optimal Operation of a Cascade Sluice-Reservoir System for Water-Society-Ecology Trade-Offs |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T16%3A25%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Low-Impact%20Optimal%20Operation%20of%20a%20Cascade%20Sluice-Reservoir%20System%20for%20Water-Society-Ecology%20Trade-Offs&rft.jtitle=Water%20resources%20management&rft.au=Zhang,%20Xiang&rft.date=2022-12-01&rft.volume=36&rft.issue=15&rft.spage=6131&rft.epage=6148&rft.pages=6131-6148&rft.issn=0920-4741&rft.eissn=1573-1650&rft_id=info:doi/10.1007/s11269-022-03345-4&rft_dat=%3Cproquest_cross%3E2747121280%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2747121280&rft_id=info:pmid/&rfr_iscdi=true |