Optimal Pumping from Skimming Wells
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VIEW THE REPLYPublication: Journal of Hydrologic Engineering
Volume 11, Issue 5
Abstract
A field problem involving pumping of groundwater from a series of existing skimming wells to meet drinking water needs from a river flood plain is examined within a conceptual framework. A simplified hypothetical aquifer system that is representative of a study area, skimming wells, input variables, and aquifer parameters is solved using a simulation-optimization (S/O) approach. The S/O model proposed in this study is solved as a nonlinear, nonconvex problem using a simulated annealing algorithm and a variable density flow simulator. An artificial neural network is used to replace the simulator to reduce the computational burden. An optimal pumping schedule in terms of location and pumpages is presented that controls up coning from underlying saline water. The study suggests that an increased number of skimming wells do not necessarily yield more water, and that the pumping schedule must be staggered in space and time.
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Acknowledgments
The writers are grateful to Dr. K. D. Sharma, Director NIH Roorkee and Dr. Saleem Romani, Chairman CGWB, New Delhi, for permission and encouragement to publish this paper. The writers are grateful to the anonymous reviewers whose comments were very helpful in improving the quality and content of this paper.
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Information & Authors
Information
Published In
Journal of Hydrologic Engineering
Volume 11 • Issue 5 • September 2006
Pages: 464 - 471
Copyright
© 2006 ASCE.
History
Received: May 24, 2005
Accepted: Nov 15, 2005
Published online: Sep 1, 2006
Published in print: Sep 2006
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