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Titlebook: Environmental Systems Engineering and Economics; Robert Willis,Brad A. Finney Textbook 2004 Springer Science+Business Media New York 2004

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发表于 2025-3-21 17:44:40 | 显示全部楼层 |阅读模式
书目名称Environmental Systems Engineering and Economics
编辑Robert Willis,Brad A. Finney
视频video
图书封面Titlebook: Environmental Systems Engineering and Economics;  Robert Willis,Brad A. Finney Textbook 2004 Springer Science+Business Media New York 2004
描述.Environmental Systems Engineering and Economics. emphasizes the application of optimization, economics, and systems engineering to problems in environmental resources management. This senior level/graduate textbook introduces optimization theory and algorithms that have been successful in resolving water quality and groundwater management problems. Both linear programming and nonlinear optimization are presented. Multiobjective optimization and the linked simulation-optimization (LSO) methodology are also introduced. The basic principles of economics and engineering economics are also discussed to provide a framework for economic decision making. This text contains numerous example problems. Case studies are presented that address water resources management issues in the north China plain, the control of saltwater intrusion in Jakarta, Indonesia, and groundwater resources management in the Yun Lin basin, Taiwan.
出版日期Textbook 2004
关键词Water Resources; Water resources management; algorithm; groundwater; linear optimization; nonlinear optim
版次1
doihttps://doi.org/10.1007/978-1-4615-0479-5
isbn_softcover978-1-4613-5097-2
isbn_ebook978-1-4615-0479-5
copyrightSpringer Science+Business Media New York 2004
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Yu-Qiu Long,Song Cen,Zhi-Fei Long. As we examined in Chapter 3, production and resource (input) decisions can be analyzed with simple economic models of the production process. The optimal solutions of these models generate the output supply and input demand functions of the firms. The supply functions define how much will be produ
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https://doi.org/10.1007/978-1-4615-0479-5Water Resources; Water resources management; algorithm; groundwater; linear optimization; nonlinear optim
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