Optimizing groundwater supply with land subsidence limit

Hone-Jay Chu, Chin Tsai Hsiao, Liang Cheng Chang

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

This work combines the Genetic Algorithm (GA) and Constrained Differential Dynamic Programming (CDDP) to solve the optimal pumping schedule and decreasing the environmental impact. The main structure of the hybrid algorithm is GA, in which each chromosome represents a possible network design and pumping wells expansion schedule. The fixed cost of each chromosome is computed easily by the GA. The CDDP then solves the optimal pumping scheme and, finally, evaluates the optimal operating costs associated with each chromosome. Simulation results indicate that under the same demand and annul interest rate, the capacity-expansion model has a lower total cost than the conventional design, which determines the system capacity initially. Furthermore, the land subsidence increases as total demand increases. The results further demonstrate that the proposed model is highly promising for use in facilitating a cost-efficiency design of well systems for regional groundwater supply and environmental preservation.

原文English
主出版物標題Restoring Our Natural Habitat - Proceedings of the 2007 World Environmental and Water Resources Congress
出版狀態Published - 2007
事件2007 World Environmental and Water Resources Congress: Restoring Our Natural Habitat - Tampa, FL, United States
持續時間: 2007 5月 152007 5月 19

Other

Other2007 World Environmental and Water Resources Congress: Restoring Our Natural Habitat
國家/地區United States
城市Tampa, FL
期間07-05-1507-05-19

All Science Journal Classification (ASJC) codes

  • 環境工程
  • 水科學與技術

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