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Water Resources Management by Stochastic Optimization - Yousaf Shad Muhammad
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ISBN: 9783639286335

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. Textbooks New Books ~~ Mathematics~~ Probability & Statistics ~~ General Water-Resources-Management-by-Stochastic-Optimization~~Yousaf-Shad-Muhammad VDM Verlag Dr. Mueller Akt.ges.&Co.KG 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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Water Resources Management by Stochastic Optimization - A Case Study of Indus Basin Irrigation System - Muhammad, Yousaf Shad
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Muhammad, Yousaf Shad:
Water Resources Management by Stochastic Optimization - A Case Study of Indus Basin Irrigation System - Taschenbuch

2010, ISBN: 9783639286335

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 112, Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Interntationaler Versand

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Water Resources Management by Stochastic Optimization - Yousaf Shad Muhammad
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ISBN: 9783639286335

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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. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Mathematik / Stochastik & Statistik, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Water Resources Management by Stochastic Optimization - Muhammad, Yousaf Shad
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Muhammad, Yousaf Shad:
Water Resources Management by Stochastic Optimization - Taschenbuch

ISBN: 3639286332

Gebundene Ausgabe, ID: 8791457

A Case Study of Indus Basin Irrigation System - Buch, gebundene Ausgabe, 112 S., Beilagen: Paperback, Erschienen: 2010 VDM Verlag 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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Water Resources Management by Stochastic Optimization:A Case Study of Indus Basin Irrigation System Yousaf Shad Muhammad Water Resources Management by Stochastic Optimization:A Case Study of Indus Basin Irrigation System Yousaf Shad Muhammad Bücher > Wissenschaft > Mathematik, VDM Verlag

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Water Resources Management by Stochastic Optimization

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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EAN (ISBN-13): 9783639286335
ISBN (ISBN-10): 3639286332
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: VDM Verlag Dr. Mueller Akt.ges.&Co.KG

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Buch zuletzt gefunden am 24.08.2017 18:03:51
ISBN/EAN: 3639286332

ISBN - alternative Schreibweisen:
3-639-28633-2, 978-3-639-28633-5


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