Fuzzy Multiobjective Irrigation Planning Using Particle Swarm Optimization
Publication: Journal of Water Resources Planning and Management
Volume 142, Issue 8
Abstract
Particle swarm optimization (PSO) technique is applied in multiobjective irrigation planning environment, to the case study of Khadakwasla complex, India. The project consists of Khadakwasla irrigation project, Janai Sirsai lift irrigation scheme, and Purandar lift irrigation scheme. Objectives considered are net benefits, crop production, and labor employment on an annual basis. Uncertainty in the three objectives is tackled by a fuzzy approach and through hyperbolic and exponential membership functions. An irrigation planning scenario of 75% dependable inflow with groundwater and treated wastewater is analyzed (termed as 75WGWHM) and is the basis for formulating the multiobjective problem. Two additional scenarios, S1 with 75% dependable inflow without groundwater using a hyperbolic membership function and S2 with 75% dependable inflow with groundwater using an exponential membership function, are also explored and compared with 75WGWHM. It is observed from the results that hyperbolic membership function is superior to the exponential membership function for the present planning problem. In addition, sensitivity analysis on PSO parameters suggests that parameters are to be chosen with due care in order to achieve meaningful inferences that can be implemented practically.
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Acknowledgments
The second author is grateful to Prof D Nagesh Kumar, Department of Civil Engineering, Indian Institute of Science, Bangalore who provided valuable advice and suggestions while improving the manuscript. Authors are also grateful to officials of Khadakwasla Irrigation Project; Groundwater Surveys and Development Agency, Pune; Agriculture Division, Pune; Minor Irrigation Division, and Mahatma Phule Krishi iVidyapeeth, Rahuri.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 142 • Issue 8 • August 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Jan 6, 2015
Accepted: Jan 14, 2016
Published online: Apr 13, 2016
Published in print: Aug 1, 2016
Discussion open until: Sep 13, 2016
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