Floodwater Utilization Based on Reservoir Pre-Release Strategy Considering the Worst-Case Scenario
Utilizing floodwater resources is important in relieving water shortages, and dynamic control of the flood limited water level (FLWL) for reservoir operation in a flood season is an effective method to achieve this objective. Based on the capacity-constrained pre-release method, this study proposed...
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Veröffentlicht in: | Water (Basel) 2020-03, Vol.12 (3), p.892 |
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creator | Hua, Lijuan Wan, Xinyu Wang, Xianhui Zhao, Fangzheng Zhong, Ping’an Liu, Moyang Yang, Qingyan |
description | Utilizing floodwater resources is important in relieving water shortages, and dynamic control of the flood limited water level (FLWL) for reservoir operation in a flood season is an effective method to achieve this objective. Based on the capacity-constrained pre-release method, this study proposed an improved dynamic control method that considered the duration of dry periods and the lead time of flood forecasts. The pre-release process was divided into two periods: water use and flood control. Taking Xianghongdian Reservoir in the Huai River Basin of China as an example, this study analyzed the statistical laws of continuous dry periods and effective flood forecast lead times and compared the effects of the negative exponential and asymptotic regression models in fitting the dry period distribution. We also calculated the floodwater volume over the FLWL in different situations and evaluated the flood control risks in a worst-case scenario. Statistical law of the dry period duration showed obvious negative index distribution characteristics; the relationship between increased water storage, dry period, and lead time can provide support for the operation decisions of the reservoir. The method did not increase the flood control risk under worst-case scenarios, and it can be used to effectively utilize reservoir floodwater resources. |
doi_str_mv | 10.3390/w12030892 |
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Based on the capacity-constrained pre-release method, this study proposed an improved dynamic control method that considered the duration of dry periods and the lead time of flood forecasts. The pre-release process was divided into two periods: water use and flood control. Taking Xianghongdian Reservoir in the Huai River Basin of China as an example, this study analyzed the statistical laws of continuous dry periods and effective flood forecast lead times and compared the effects of the negative exponential and asymptotic regression models in fitting the dry period distribution. We also calculated the floodwater volume over the FLWL in different situations and evaluated the flood control risks in a worst-case scenario. Statistical law of the dry period duration showed obvious negative index distribution characteristics; the relationship between increased water storage, dry period, and lead time can provide support for the operation decisions of the reservoir. The method did not increase the flood control risk under worst-case scenarios, and it can be used to effectively utilize reservoir floodwater resources.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w12030892</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>China ; Dynamic control ; Environmental aspects ; Environmental risk ; Flood control ; Flood forecasting ; Floods ; Floodwater ; Lead time ; Management ; Measurement ; Rain ; Regression analysis ; Reservoir operation ; Reservoirs ; Risk management ; River basins ; Rivers ; Statistical analysis ; Statistics ; Storm damage ; Water levels ; Water shortages ; Water storage ; Water use</subject><ispartof>Water (Basel), 2020-03, Vol.12 (3), p.892</ispartof><rights>COPYRIGHT 2020 MDPI AG</rights><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). 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-c331t-9708b11337be7f90d4b56644493196d7a490130efdc8fc576b32abbbefe3200f3</citedby><cites>FETCH-LOGICAL-c331t-9708b11337be7f90d4b56644493196d7a490130efdc8fc576b32abbbefe3200f3</cites><orcidid>0000-0002-4542-1138</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Hua, Lijuan</creatorcontrib><creatorcontrib>Wan, Xinyu</creatorcontrib><creatorcontrib>Wang, Xianhui</creatorcontrib><creatorcontrib>Zhao, Fangzheng</creatorcontrib><creatorcontrib>Zhong, Ping’an</creatorcontrib><creatorcontrib>Liu, Moyang</creatorcontrib><creatorcontrib>Yang, Qingyan</creatorcontrib><title>Floodwater Utilization Based on Reservoir Pre-Release Strategy Considering the Worst-Case Scenario</title><title>Water (Basel)</title><description>Utilizing floodwater resources is important in relieving water shortages, and dynamic control of the flood limited water level (FLWL) for reservoir operation in a flood season is an effective method to achieve this objective. Based on the capacity-constrained pre-release method, this study proposed an improved dynamic control method that considered the duration of dry periods and the lead time of flood forecasts. The pre-release process was divided into two periods: water use and flood control. Taking Xianghongdian Reservoir in the Huai River Basin of China as an example, this study analyzed the statistical laws of continuous dry periods and effective flood forecast lead times and compared the effects of the negative exponential and asymptotic regression models in fitting the dry period distribution. We also calculated the floodwater volume over the FLWL in different situations and evaluated the flood control risks in a worst-case scenario. Statistical law of the dry period duration showed obvious negative index distribution characteristics; the relationship between increased water storage, dry period, and lead time can provide support for the operation decisions of the reservoir. The method did not increase the flood control risk under worst-case scenarios, and it can be used to effectively utilize reservoir floodwater resources.</description><subject>China</subject><subject>Dynamic control</subject><subject>Environmental aspects</subject><subject>Environmental risk</subject><subject>Flood control</subject><subject>Flood forecasting</subject><subject>Floods</subject><subject>Floodwater</subject><subject>Lead time</subject><subject>Management</subject><subject>Measurement</subject><subject>Rain</subject><subject>Regression analysis</subject><subject>Reservoir operation</subject><subject>Reservoirs</subject><subject>Risk management</subject><subject>River basins</subject><subject>Rivers</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>Storm damage</subject><subject>Water levels</subject><subject>Water shortages</subject><subject>Water storage</subject><subject>Water use</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNUE1PwzAMjRBITLAD_6ASJw4dSZw26XFMDJAmgQYTxyptnZGpa0bSMY1fT2AIYR_8ZL_nL0IuGB0BFPR6xzgFqgp-RAacSkiFEOz4Hz4lwxBWNJoolMrogFTT1rlmp3v0yaK3rf3UvXVdcqMDNkkEcwzoP5z1yZPHdI4txkry3PsoWe6TieuCbdDbbpn0b5i8Oh_6dPLDqbHT3rpzcmJ0G3D4G8_IYnr7MrlPZ493D5PxLK0BWJ8WkqqKMQBZoTQFbUSV5XncugBW5I3UoqAMKJqmVqbOZF4B11VVoUHglBo4I5eHvhvv3rcY-nLltr6LI0sOCkBIzrPIGh1YS91iaTvj4il19AbXtnYdGhvzY8WoAJlLFQVXB0HtXQgeTbnxdq39vmS0_H57-fd2-AKawXPS</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Hua, Lijuan</creator><creator>Wan, Xinyu</creator><creator>Wang, Xianhui</creator><creator>Zhao, Fangzheng</creator><creator>Zhong, Ping’an</creator><creator>Liu, Moyang</creator><creator>Yang, Qingyan</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</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/0000-0002-4542-1138</orcidid></search><sort><creationdate>20200301</creationdate><title>Floodwater Utilization Based on Reservoir Pre-Release Strategy Considering the Worst-Case Scenario</title><author>Hua, Lijuan ; 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Based on the capacity-constrained pre-release method, this study proposed an improved dynamic control method that considered the duration of dry periods and the lead time of flood forecasts. The pre-release process was divided into two periods: water use and flood control. Taking Xianghongdian Reservoir in the Huai River Basin of China as an example, this study analyzed the statistical laws of continuous dry periods and effective flood forecast lead times and compared the effects of the negative exponential and asymptotic regression models in fitting the dry period distribution. We also calculated the floodwater volume over the FLWL in different situations and evaluated the flood control risks in a worst-case scenario. Statistical law of the dry period duration showed obvious negative index distribution characteristics; the relationship between increased water storage, dry period, and lead time can provide support for the operation decisions of the reservoir. The method did not increase the flood control risk under worst-case scenarios, and it can be used to effectively utilize reservoir floodwater resources.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/w12030892</doi><orcidid>https://orcid.org/0000-0002-4542-1138</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | China Dynamic control Environmental aspects Environmental risk Flood control Flood forecasting Floods Floodwater Lead time Management Measurement Rain Regression analysis Reservoir operation Reservoirs Risk management River basins Rivers Statistical analysis Statistics Storm damage Water levels Water shortages Water storage Water use |
title | Floodwater Utilization Based on Reservoir Pre-Release Strategy Considering the Worst-Case Scenario |
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