Abstract
Multiobjective fuzzy methodology is applied to a case study of Khadakwasla complex irrigation project located near Pune city of Maharashtra State, India. Three objectives, namely, maximization of net benefits, crop production and labour employment are considered. Effect of reuse of wastewater on the planning scenario is also studied. Three membership functions, namely, nonlinear, hyperbolic and exponential are analyzed for multiobjective fuzzy optimization. In the present study, objective functions are considered as fuzzy in nature whereas inflows are considered as dependable. It is concluded that exponential and hyperbolic membership functions provided similar cropping pattern for most of the situations whereas nonlinear membership functions provided different cropping pattern. However, in all the three cases, irrigation intensities are more than the existing irrigation intensity.
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Acknowledgments
Authors are grateful to Superintending Engineer and Executive Engineer of Khadakwasla Irrigation Project, for providing the data on Khadakwasla Project; Director, Groundwater Surveys and Development Agency, Pune for providing groundwater potential in Khadakwasla command; Divisional Joint Director, Agriculture, Pune, Division, for providing input on crop yield, crop pattern, crop prices; Executive Engineer, Minor Irrigation Div., Sub Div.1 for providing practical inputs of PLIS. Acknowledgements are due to Authorities at Mahatma Phule Krishi Vidyapeeth, Rahuri, (An Agricultural University) for providing most practical inputs on cost of cultivations for the region and cropping pattern, economics of agriculture.
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Morankar, D.V., Srinivasa Raju, K. & Nagesh Kumar, D. Integrated Sustainable Irrigation Planning with Multiobjective Fuzzy Optimization Approach. Water Resour Manage 27, 3981–4004 (2013). https://doi.org/10.1007/s11269-013-0391-3
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DOI: https://doi.org/10.1007/s11269-013-0391-3