Optimization of Nebhana reservoir water allocation by stochastic dynamic programming
This study is devoted to the identification of an optimal rule that would permit to improve the water resources management of dam in arid condition. The Nebhana dam is considered in this study as a representative of a set dams situated in such condition. The water storage is used for irrigation purp...
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| Veröffentlicht in: | Water resources management 2003-08, Vol.17 (4), p.259-272 |
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| creator | ABDALLAH BEN ALAYA SOUISSI, Abderrazek TARHOUNI, Jamila NCIB, Kamel |
| description | This study is devoted to the identification of an optimal rule that would permit to improve the water resources management of dam in arid condition. The Nebhana dam is considered in this study as a representative of a set dams situated in such condition. The water storage is used for irrigation purpose. The identification of an optimal rule is based on two opposite objectives: the satisfaction of the irrigation water demand and the safeguard of a minimal water storage in the dam. By considering different weights for these objectives, the stochastic dynamic programming technique was lead to various optimal rules for the water resources management of the Nebhana dam. This technique takes into account the variability of the volume of water inflow to the dam on the basis of their occurrence probability; the water losses by means of forecasting models and the water resources goals using weight coefficients. The identified optimal rule would permit to estimate the necessary water release volume for irrigation by considering the water storage and the decision period. |
| doi_str_mv | 10.1023/a:1024721507339 |
| format | Article |
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The Nebhana dam is considered in this study as a representative of a set dams situated in such condition. The water storage is used for irrigation purpose. The identification of an optimal rule is based on two opposite objectives: the satisfaction of the irrigation water demand and the safeguard of a minimal water storage in the dam. By considering different weights for these objectives, the stochastic dynamic programming technique was lead to various optimal rules for the water resources management of the Nebhana dam. This technique takes into account the variability of the volume of water inflow to the dam on the basis of their occurrence probability; the water losses by means of forecasting models and the water resources goals using weight coefficients. The identified optimal rule would permit to estimate the necessary water release volume for irrigation by considering the water storage and the decision period.</description><identifier>ISSN: 0920-4741</identifier><identifier>EISSN: 1573-1650</identifier><identifier>DOI: 10.1023/a:1024721507339</identifier><identifier>CODEN: WRMAEJ</identifier><language>eng</language><publisher>Dordrecht: Springer</publisher><subject>Dams ; Dynamic programming ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Freshwater ; Hydrology ; Hydrology. 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Hydrogeology</subject><subject>Irrigation</subject><subject>Irrigation water</subject><subject>Optimization</subject><subject>Reservoirs</subject><subject>Water allocation</subject><subject>Water demand</subject><subject>Water resources</subject><subject>Water resources management</subject><subject>Water storage</subject><issn>0920-4741</issn><issn>1573-1650</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</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>eNp90T1PwzAQBmALgUQpzKwREjAF7mIndthQxZdU0aXM0cWxW6N8FDsFlV-PEUwMTO_y6L07HWOnCFcIGb-mmxhCZpiD5LzcYxPMJU-xyGGfTaDMIBVS4CE7CuEVAAFKmLDlYjO6zn3S6IY-GWzybOo19ZR4E4x_H5xPPmg0PqG2HfSPqndJGAe9pjA6nTS7nrqYGz-sPHWd61fH7MBSG8zJb07Zy_3dcvaYzhcPT7PbeaoFijFFlGA5CFNTbilHpaGg0gpbm4YLVWgolQSjGpsZpXXZoBICm6a2ihuggk_Z5U9vnP22NWGsOhe0aVvqzbANlRS8wDyDb3nxr4yblJlSIsKzP_B12Po-XlHJ2JSrTMmIzn8RBU2t9dRrF6qNdx35XRU_gEJhwb8AaXZ7TA</recordid><startdate>20030801</startdate><enddate>20030801</enddate><creator>ABDALLAH BEN ALAYA</creator><creator>SOUISSI, Abderrazek</creator><creator>TARHOUNI, Jamila</creator><creator>NCIB, Kamel</creator><general>Springer</general><general>Springer Nature B.V</general><scope>IQODW</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><scope>7TG</scope><scope>7U6</scope><scope>H96</scope><scope>KL.</scope></search><sort><creationdate>20030801</creationdate><title>Optimization of Nebhana reservoir water allocation by stochastic dynamic programming</title><author>ABDALLAH BEN ALAYA ; SOUISSI, Abderrazek ; TARHOUNI, Jamila ; NCIB, Kamel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c414t-1170f304eba5fa518c06a9f4fbed3486c09870e8df2e8cc9d18441ddbf83e0a63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Dams</topic><topic>Dynamic programming</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Freshwater</topic><topic>Hydrology</topic><topic>Hydrology. Hydrogeology</topic><topic>Irrigation</topic><topic>Irrigation water</topic><topic>Optimization</topic><topic>Reservoirs</topic><topic>Water allocation</topic><topic>Water demand</topic><topic>Water resources</topic><topic>Water resources management</topic><topic>Water storage</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>ABDALLAH BEN ALAYA</creatorcontrib><creatorcontrib>SOUISSI, Abderrazek</creatorcontrib><creatorcontrib>TARHOUNI, Jamila</creatorcontrib><creatorcontrib>NCIB, Kamel</creatorcontrib><collection>Pascal-Francis</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 & 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>One Business (ProQuest)</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><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>Water resources management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>ABDALLAH BEN ALAYA</au><au>SOUISSI, Abderrazek</au><au>TARHOUNI, Jamila</au><au>NCIB, Kamel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of Nebhana reservoir water allocation by stochastic dynamic programming</atitle><jtitle>Water resources management</jtitle><date>2003-08-01</date><risdate>2003</risdate><volume>17</volume><issue>4</issue><spage>259</spage><epage>272</epage><pages>259-272</pages><issn>0920-4741</issn><eissn>1573-1650</eissn><coden>WRMAEJ</coden><abstract>This study is devoted to the identification of an optimal rule that would permit to improve the water resources management of dam in arid condition. The Nebhana dam is considered in this study as a representative of a set dams situated in such condition. The water storage is used for irrigation purpose. The identification of an optimal rule is based on two opposite objectives: the satisfaction of the irrigation water demand and the safeguard of a minimal water storage in the dam. By considering different weights for these objectives, the stochastic dynamic programming technique was lead to various optimal rules for the water resources management of the Nebhana dam. This technique takes into account the variability of the volume of water inflow to the dam on the basis of their occurrence probability; the water losses by means of forecasting models and the water resources goals using weight coefficients. The identified optimal rule would permit to estimate the necessary water release volume for irrigation by considering the water storage and the decision period.</abstract><cop>Dordrecht</cop><pub>Springer</pub><doi>10.1023/a:1024721507339</doi><tpages>14</tpages></addata></record> |
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| subjects | Dams Dynamic programming Earth sciences Earth, ocean, space Exact sciences and technology Freshwater Hydrology Hydrology. Hydrogeology Irrigation Irrigation water Optimization Reservoirs Water allocation Water demand Water resources Water resources management Water storage |
| title | Optimization of Nebhana reservoir water allocation by stochastic dynamic programming |
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