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Optimal Groundwater Management in Deltaic Regions using Simulated Annealing and Neural Networks

Author

Listed:
  • S. Rao

    ()

  • B. Thandaveswara
  • S. Murty Bhallamudi
  • V. Srinivasulu

Abstract

This study deals with the optimal management of groundwater in deltaic aquifer systems with some reference to east coastal hydro-geo-climatic conditions of India. A system of cooperative wells is proposed to supplement surface water sources to meet the demand during the non-monsoon season, without inducing excessive saltwater intrusion. The management models are solved as nonlinear, non-convex, combinatorial problems. The management models are solved by interfacing simulated annealing (SA) algorithm with an existing SHARP interface flow model to determine an optimal policy for location and pumpages of cooperative wells. Computational burden arising from SA algorithm is managed within practical timeframes by replacing the simulator with an artificial neural network (ANN). Copyright Kluwer Academic Publishers 2003

Suggested Citation

  • 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.
  • Handle: RePEc:spr:waterr:v:17:y:2003:i:6:p:409-428
    DOI: 10.1023/B:WARM.0000004921.74256.a9
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    Citations

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    Cited by:

    1. Kwan Lee & Wei-Chiao Hung & Chung-Chieh Meng, 2008. "Deterministic Insight into ANN Model Performance for Storm Runoff Simulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(1), pages 67-82, January.
    2. 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.
    3. Shishir Gaur & Sudheer Ch & Didier Graillot & B. Chahar & D. Kumar, 2013. "Application of Artificial Neural Networks and Particle Swarm Optimization for the Management of Groundwater Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(3), pages 927-941, February.
    4. 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.

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