Study on Reservoir Operation Model Based on Ecological Flow Calculation

To make the formulation of the ecological release countermeasures of the reservoir adapt to the flood and dry water coming from the river and the ecological flow guarantee objectives of the Ministry of Water Resources, the ecological regulation release countermeasures model of the reservoir is studi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Water resources management 2023-07, Vol.37 (9), p.3543-3562
Hauptverfasser: Lei, Guanjun, Yin, Junxian, Wang, Wenchuan, Liu, Changshun, Wang, Hao
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 3562
container_issue 9
container_start_page 3543
container_title Water resources management
container_volume 37
creator Lei, Guanjun
Yin, Junxian
Wang, Wenchuan
Liu, Changshun
Wang, Hao
description To make the formulation of the ecological release countermeasures of the reservoir adapt to the flood and dry water coming from the river and the ecological flow guarantee objectives of the Ministry of Water Resources, the ecological regulation release countermeasures model of the reservoir is studied. Taking Baishi Reservoir on the Daling River as an example, the ecological flow calculation results of Tennant method, Texas method and the ecological flow guarantee target (fixed value method) of the Ministry of Water Resources are selected for ecological dispatching to build an ecological dispatching model with optimal water supply, power generation and ecological coordination. There is no requirement to restore the flood limit water level at the end of the dispatching period. The average annual water supply shortage of the three methods are 8.20%, 20.21% and 11.62% less than the requirement to restore the flood limit water level. The average ecological water supply shortage are 16.39%, 14.40% and 10.96% less than the requirement to restore the flood limit water level. The average power generation of the fixed value method and the Texas method are 0.90% and 3.46% less than the requirement to restore the flood limit water level. The average power generation of the Tennant method is 3.73% more than the requirement to restore the flood limit water level. There is no requirement to restore the flood limit water level at the end of the dispatching period. The average annual water supply shortage of the reservoir by Tennant method are 19.91% and 10.69% lower than that by the constant value method and Texas method, the average non-flood season water shortage is 49.47% and 21.17% lower, the average annual power generation is 4.25% and 5.77% higher, and the average flood season power generation is 69.22% and 9.20% higher. At the end of the operation period, the reservoir water level does not need to restore the flood limit water level as much as possible, which can improve the utilization rate of the reservoir water resources. The operation mode of ecological water demand calculated by Tennant method can effectively combine the characteristics of incoming water to achieve the optimization of water supply, power generation and ecology.
doi_str_mv 10.1007/s11269-023-03513-0
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2829588136</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2829588136</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-244c1ce823cb2bb1f81f5620c07e536b4c8743453d85b98316937ecf7708d7dd3</originalsourceid><addsrcrecordid>eNp9kF1LwzAUhoMoOKd_wKuC19FzkqZJL3VsU5gM_LgObZqOjrrUpFX2781WwTtvzoHD874HHkKuEW4RQN4FRJblFBinwAXGeUImKCSnmAk4JRPIGdBUpnhOLkLYAsRYDhOyfO2Hap-4XfJig_VfrvHJurO-6Jt4e3aVbZOHItjqgMyNa92mMUWbLFr3ncyK1gztEb0kZ3XRBnv1u6fkfTF_mz3S1Xr5NLtfUcMx7ylLU4PGKsZNycoSa4W1yBgYkFbwrEyNkilPBa-UKHPFMcu5tKaWElQlq4pPyc3Y23n3OdjQ660b_C6-1EyxXCiFPIsUGynjXQje1rrzzUfh9xpBH4TpUZiOwvRRWJxTwsdQiPBuY_1f9T-pH1VcbG4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2829588136</pqid></control><display><type>article</type><title>Study on Reservoir Operation Model Based on Ecological Flow Calculation</title><source>SpringerNature Journals</source><creator>Lei, Guanjun ; Yin, Junxian ; Wang, Wenchuan ; Liu, Changshun ; Wang, Hao</creator><creatorcontrib>Lei, Guanjun ; Yin, Junxian ; Wang, Wenchuan ; Liu, Changshun ; Wang, Hao</creatorcontrib><description>To make the formulation of the ecological release countermeasures of the reservoir adapt to the flood and dry water coming from the river and the ecological flow guarantee objectives of the Ministry of Water Resources, the ecological regulation release countermeasures model of the reservoir is studied. Taking Baishi Reservoir on the Daling River as an example, the ecological flow calculation results of Tennant method, Texas method and the ecological flow guarantee target (fixed value method) of the Ministry of Water Resources are selected for ecological dispatching to build an ecological dispatching model with optimal water supply, power generation and ecological coordination. There is no requirement to restore the flood limit water level at the end of the dispatching period. The average annual water supply shortage of the three methods are 8.20%, 20.21% and 11.62% less than the requirement to restore the flood limit water level. The average ecological water supply shortage are 16.39%, 14.40% and 10.96% less than the requirement to restore the flood limit water level. The average power generation of the fixed value method and the Texas method are 0.90% and 3.46% less than the requirement to restore the flood limit water level. The average power generation of the Tennant method is 3.73% more than the requirement to restore the flood limit water level. There is no requirement to restore the flood limit water level at the end of the dispatching period. The average annual water supply shortage of the reservoir by Tennant method are 19.91% and 10.69% lower than that by the constant value method and Texas method, the average non-flood season water shortage is 49.47% and 21.17% lower, the average annual power generation is 4.25% and 5.77% higher, and the average flood season power generation is 69.22% and 9.20% higher. At the end of the operation period, the reservoir water level does not need to restore the flood limit water level as much as possible, which can improve the utilization rate of the reservoir water resources. The operation mode of ecological water demand calculated by Tennant method can effectively combine the characteristics of incoming water to achieve the optimization of water supply, power generation and ecology.</description><identifier>ISSN: 0920-4741</identifier><identifier>EISSN: 1573-1650</identifier><identifier>DOI: 10.1007/s11269-023-03513-0</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Atmospheric Sciences ; Civil Engineering ; Earth and Environmental Science ; Earth Sciences ; Ecological effects ; Electric power generation ; Environment ; Floods ; Geotechnical Engineering &amp; Applied Earth Sciences ; Hydrogeology ; Hydrology/Water Resources ; Methods ; Optimization ; Reservoir operation ; Rivers ; Water demand ; Water levels ; Water resources ; Water shortages ; Water supply</subject><ispartof>Water resources management, 2023-07, Vol.37 (9), p.3543-3562</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 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><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-244c1ce823cb2bb1f81f5620c07e536b4c8743453d85b98316937ecf7708d7dd3</citedby><cites>FETCH-LOGICAL-c319t-244c1ce823cb2bb1f81f5620c07e536b4c8743453d85b98316937ecf7708d7dd3</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/s11269-023-03513-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11269-023-03513-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Lei, Guanjun</creatorcontrib><creatorcontrib>Yin, Junxian</creatorcontrib><creatorcontrib>Wang, Wenchuan</creatorcontrib><creatorcontrib>Liu, Changshun</creatorcontrib><creatorcontrib>Wang, Hao</creatorcontrib><title>Study on Reservoir Operation Model Based on Ecological Flow Calculation</title><title>Water resources management</title><addtitle>Water Resour Manage</addtitle><description>To make the formulation of the ecological release countermeasures of the reservoir adapt to the flood and dry water coming from the river and the ecological flow guarantee objectives of the Ministry of Water Resources, the ecological regulation release countermeasures model of the reservoir is studied. Taking Baishi Reservoir on the Daling River as an example, the ecological flow calculation results of Tennant method, Texas method and the ecological flow guarantee target (fixed value method) of the Ministry of Water Resources are selected for ecological dispatching to build an ecological dispatching model with optimal water supply, power generation and ecological coordination. There is no requirement to restore the flood limit water level at the end of the dispatching period. The average annual water supply shortage of the three methods are 8.20%, 20.21% and 11.62% less than the requirement to restore the flood limit water level. The average ecological water supply shortage are 16.39%, 14.40% and 10.96% less than the requirement to restore the flood limit water level. The average power generation of the fixed value method and the Texas method are 0.90% and 3.46% less than the requirement to restore the flood limit water level. The average power generation of the Tennant method is 3.73% more than the requirement to restore the flood limit water level. There is no requirement to restore the flood limit water level at the end of the dispatching period. The average annual water supply shortage of the reservoir by Tennant method are 19.91% and 10.69% lower than that by the constant value method and Texas method, the average non-flood season water shortage is 49.47% and 21.17% lower, the average annual power generation is 4.25% and 5.77% higher, and the average flood season power generation is 69.22% and 9.20% higher. At the end of the operation period, the reservoir water level does not need to restore the flood limit water level as much as possible, which can improve the utilization rate of the reservoir water resources. The operation mode of ecological water demand calculated by Tennant method can effectively combine the characteristics of incoming water to achieve the optimization of water supply, power generation and ecology.</description><subject>Atmospheric Sciences</subject><subject>Civil Engineering</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Ecological effects</subject><subject>Electric power generation</subject><subject>Environment</subject><subject>Floods</subject><subject>Geotechnical Engineering &amp; Applied Earth Sciences</subject><subject>Hydrogeology</subject><subject>Hydrology/Water Resources</subject><subject>Methods</subject><subject>Optimization</subject><subject>Reservoir operation</subject><subject>Rivers</subject><subject>Water demand</subject><subject>Water levels</subject><subject>Water resources</subject><subject>Water shortages</subject><subject>Water supply</subject><issn>0920-4741</issn><issn>1573-1650</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</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>eNp9kF1LwzAUhoMoOKd_wKuC19FzkqZJL3VsU5gM_LgObZqOjrrUpFX2781WwTtvzoHD874HHkKuEW4RQN4FRJblFBinwAXGeUImKCSnmAk4JRPIGdBUpnhOLkLYAsRYDhOyfO2Hap-4XfJig_VfrvHJurO-6Jt4e3aVbZOHItjqgMyNa92mMUWbLFr3ncyK1gztEb0kZ3XRBnv1u6fkfTF_mz3S1Xr5NLtfUcMx7ylLU4PGKsZNycoSa4W1yBgYkFbwrEyNkilPBa-UKHPFMcu5tKaWElQlq4pPyc3Y23n3OdjQ660b_C6-1EyxXCiFPIsUGynjXQje1rrzzUfh9xpBH4TpUZiOwvRRWJxTwsdQiPBuY_1f9T-pH1VcbG4</recordid><startdate>20230701</startdate><enddate>20230701</enddate><creator>Lei, Guanjun</creator><creator>Yin, Junxian</creator><creator>Wang, Wenchuan</creator><creator>Liu, Changshun</creator><creator>Wang, Hao</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>20230701</creationdate><title>Study on Reservoir Operation Model Based on Ecological Flow Calculation</title><author>Lei, Guanjun ; Yin, Junxian ; Wang, Wenchuan ; Liu, Changshun ; Wang, Hao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-244c1ce823cb2bb1f81f5620c07e536b4c8743453d85b98316937ecf7708d7dd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Atmospheric Sciences</topic><topic>Civil Engineering</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Ecological effects</topic><topic>Electric power generation</topic><topic>Environment</topic><topic>Floods</topic><topic>Geotechnical Engineering &amp; Applied Earth Sciences</topic><topic>Hydrogeology</topic><topic>Hydrology/Water Resources</topic><topic>Methods</topic><topic>Optimization</topic><topic>Reservoir operation</topic><topic>Rivers</topic><topic>Water demand</topic><topic>Water levels</topic><topic>Water resources</topic><topic>Water shortages</topic><topic>Water supply</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lei, Guanjun</creatorcontrib><creatorcontrib>Yin, Junxian</creatorcontrib><creatorcontrib>Wang, Wenchuan</creatorcontrib><creatorcontrib>Liu, Changshun</creatorcontrib><creatorcontrib>Wang, Hao</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Access via ABI/INFORM (ProQuest)</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 &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; 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 &amp; 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 &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; 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 &amp; 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 &amp; 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>Lei, Guanjun</au><au>Yin, Junxian</au><au>Wang, Wenchuan</au><au>Liu, Changshun</au><au>Wang, Hao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Study on Reservoir Operation Model Based on Ecological Flow Calculation</atitle><jtitle>Water resources management</jtitle><stitle>Water Resour Manage</stitle><date>2023-07-01</date><risdate>2023</risdate><volume>37</volume><issue>9</issue><spage>3543</spage><epage>3562</epage><pages>3543-3562</pages><issn>0920-4741</issn><eissn>1573-1650</eissn><abstract>To make the formulation of the ecological release countermeasures of the reservoir adapt to the flood and dry water coming from the river and the ecological flow guarantee objectives of the Ministry of Water Resources, the ecological regulation release countermeasures model of the reservoir is studied. Taking Baishi Reservoir on the Daling River as an example, the ecological flow calculation results of Tennant method, Texas method and the ecological flow guarantee target (fixed value method) of the Ministry of Water Resources are selected for ecological dispatching to build an ecological dispatching model with optimal water supply, power generation and ecological coordination. There is no requirement to restore the flood limit water level at the end of the dispatching period. The average annual water supply shortage of the three methods are 8.20%, 20.21% and 11.62% less than the requirement to restore the flood limit water level. The average ecological water supply shortage are 16.39%, 14.40% and 10.96% less than the requirement to restore the flood limit water level. The average power generation of the fixed value method and the Texas method are 0.90% and 3.46% less than the requirement to restore the flood limit water level. The average power generation of the Tennant method is 3.73% more than the requirement to restore the flood limit water level. There is no requirement to restore the flood limit water level at the end of the dispatching period. The average annual water supply shortage of the reservoir by Tennant method are 19.91% and 10.69% lower than that by the constant value method and Texas method, the average non-flood season water shortage is 49.47% and 21.17% lower, the average annual power generation is 4.25% and 5.77% higher, and the average flood season power generation is 69.22% and 9.20% higher. At the end of the operation period, the reservoir water level does not need to restore the flood limit water level as much as possible, which can improve the utilization rate of the reservoir water resources. The operation mode of ecological water demand calculated by Tennant method can effectively combine the characteristics of incoming water to achieve the optimization of water supply, power generation and ecology.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11269-023-03513-0</doi><tpages>20</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0920-4741
ispartof Water resources management, 2023-07, Vol.37 (9), p.3543-3562
issn 0920-4741
1573-1650
language eng
recordid cdi_proquest_journals_2829588136
source SpringerNature Journals
subjects Atmospheric Sciences
Civil Engineering
Earth and Environmental Science
Earth Sciences
Ecological effects
Electric power generation
Environment
Floods
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Hydrology/Water Resources
Methods
Optimization
Reservoir operation
Rivers
Water demand
Water levels
Water resources
Water shortages
Water supply
title Study on Reservoir Operation Model Based on Ecological Flow Calculation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T17%3A46%3A10IST&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=Study%20on%20Reservoir%20Operation%20Model%20Based%20on%20Ecological%20Flow%20Calculation&rft.jtitle=Water%20resources%20management&rft.au=Lei,%20Guanjun&rft.date=2023-07-01&rft.volume=37&rft.issue=9&rft.spage=3543&rft.epage=3562&rft.pages=3543-3562&rft.issn=0920-4741&rft.eissn=1573-1650&rft_id=info:doi/10.1007/s11269-023-03513-0&rft_dat=%3Cproquest_cross%3E2829588136%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=2829588136&rft_id=info:pmid/&rfr_iscdi=true