Irrigation water management plays a significant role in the economies of many developing countries. Developments in the system sciences, operations research and mathematical modeling for decision making under uncertainty have been successfully implemented for water resource management in many advanced countries. In this study we are presenting a two stage stochastic programming model for Indus basin irrigation system. This model takes inflow and rainfall as stochastic . We are presenting a comparison between the deterministic and the scenario-based stochastic programming models. We divide the whole basin into three rainfall zones which overlap over 44 canal commands. Data on crop characteristics are taken on canal command levels. We then use ten-daily and monthly time intervals to analyze the policies. All the decisions on hydrologic aspects are governed by irrigation and agricultural development policies. Storage levels are maintained according to a power generation policy. The objective is to maximize the expected revenue from crop production. We discussed the flexibility of the stochastic optimization model compare to a deterministic one.
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Irrigation water management plays a significant role in the economies of many developing countries. Developments in the system sciences, operations research and mathematical modeling for decision making under uncertainty have been successfully implemented for water resource management in many advanced countries. In this study we are presenting a two stage stochastic programming model for Indus basin irrigation system. This model takes inflow and rainfall as stochastic . We are presenting a comparison between the deterministic and the scenario-based stochastic programming models. We divide the whole basin into three rainfall zones which overlap over 44 canal commands. Data on crop characteristics are taken on canal command levels. We then use ten-daily and monthly time intervals to analyze the policies. All the decisions on hydrologic aspects are governed by irrigation and agricultural development policies. Storage levels are maintained according to a power generation policy. The objective is to maximize the expected revenue from crop production. We discussed the flexibility of the stochastic optimization model compare to a deterministic one.
Yousaf Shad Muhammad is a skilled statistician with a background in optimization methods. Since 2004, he has been developing and implementing different mathematical models. Yousaf has a deep knowledge in SP and has developed new model for Indus basin irrigation system (IBIS). He worked for CRM group University of Vienna, NTNU and SINTEF.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Muhammad Yousaf ShadYousaf Shad Muhammad is a skilled statistician with a background in optimization methods. Since 2004, he has been developing and implementing different mathematical models. Yousaf has a deep knowledge in SP and. N° de réf. du vendeur 4974202
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Irrigation water management plays a significant role in the economies of many developing countries. Developments in the system sciences, operations research and mathematical modeling for decision making under uncertainty have been successfully implemented for water resource management in many advanced countries. In this study we are presenting a two stage stochastic programming model for Indus basin irrigation system. This model takes inflow and rainfall as stochastic . We are presenting a comparison between the deterministic and the scenario-based stochastic programming models. We divide the whole basin into three rainfall zones which overlap over 44 canal commands. Data on crop characteristics are taken on canal command levels. We then use ten-daily and monthly time intervals to analyze the policies. All the decisions on hydrologic aspects are governed by irrigation and agricultural development policies. Storage levels are maintained according to a power generation policy. The objective is to maximize the expected revenue from crop production. We discussed the flexibility of the stochastic optimization model compare to a deterministic one. N° de réf. du vendeur 9783639286335
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Taschenbuch. Etat : Neu. Water Resources Management by Stochastic Optimization | A Case Study of Indus Basin Irrigation System | Yousaf Shad Muhammad | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639286335 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 107412335
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