Optimizing groundwater supply with land subsidence limit

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publicationRestoring Our Natural Habitat - Proceedings of the 2007 World Environmental and Water Resources Congress
Publication statusPublished - 2007
Event2007 World Environmental and Water Resources Congress: Restoring Our Natural Habitat - Tampa, FL, United States
Duration: 2007 May 152007 May 19


Other2007 World Environmental and Water Resources Congress: Restoring Our Natural Habitat
Country/TerritoryUnited States
CityTampa, FL

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Water Science and Technology


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