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Planning Groundwater Development in Coastal Deltas with Paleo Channels

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  • S. Rao
  • S. Bhallamudi
  • B. Thandaveswara
  • V. Sreenivasulu

Abstract

In this study, a management model is presented for planning groundwater development in costal deltas with paleo channels. It is demonstrated that paleo channels are the best locations for locating the wells for large-scale pumping. Groundwater flow in these aquifers is simulated using a three-dimensional (3-D) density-dependent flow and transport model SEAWAT, which is suitable for a coastal and deltaic environment. A simulation-optimization model is used to determine the optimal locations and pumpages for groundwater development for a group of production wells, while limiting the salinity below desired levels. The mixed integer problem is solved using the Simulated Annealing algorithm and the SEAWAT simulation model. A trained Artificial Neural Network (ANN) is used as the virtual SEAWAT model to perform the simulations, in order to reduce the computational burden for application of the model on desktop computers. The applicability of the model is demonstrated on a hypothetical, but near-real, delta system. Copyright Springer Science + Business Media, Inc. 2005

Suggested Citation

  • S. Rao & S. Bhallamudi & B. Thandaveswara & V. Sreenivasulu, 2005. "Planning Groundwater Development in Coastal Deltas with Paleo Channels," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(5), pages 625-639, October.
    • Handle: RePEc:spr:waterr:v:19:y:2005:i:5:p:625-639
    DOI: 10.1007/s11269-005-5604-y
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    References listed on IDEAS

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    1. S. Rao & B. Thandaveswara & S. Murty Bhallamudi & V. Srinivasulu, 2003. "Optimal Groundwater Management in Deltaic Regions using Simulated Annealing and Neural Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 17(6), pages 409-428, December.
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    Cited by:

    1. Hone-Jay Chu & Liang-Cheng Chang, 2009. "Application of Optimal Control and Fuzzy Theory for Dynamic Groundwater Remediation Design," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(4), pages 647-660, March.
    2. Liang-Cheng Chang & Hone-Jay Chu & Chin-Tsai Hsiao, 2012. "Integration of Optimal Dynamic Control and Neural Network for Groundwater Quality Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(5), pages 1253-1269, March.
    3. R. Rejani & Madan Jha & S. Panda & R. Mull, 2008. "Simulation Modeling for Efficient Groundwater Management in Balasore Coastal Basin, India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(1), pages 23-50, January.

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