Fuzzy Multiobjective Irrigation Planning Using Particle Swarm Optimization

AbstractParticle 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...

[1]  Omid Bozorg Haddad,et al.  Optimal Monthly Reservoir Operation Rules for Hydropower Generation Derived with SVR-NSGAII , 2015 .

[2]  Ahmad Tahershamsi,et al.  Basin-wide Water Resources Planning by Integrating PSO Algorithm and MODSIM , 2008 .

[3]  Iman Ahmadianfar,et al.  Optimizing Multireservoir Operation: Hybrid of Bat Algorithm and Differential Evolution , 2016 .

[4]  Slobodan P. Simonovic,et al.  Fuzzy multiobjective models for optimal operation of a hydropower system , 2013 .

[5]  Anula Khare,et al.  A review of particle swarm optimization and its applications in Solar Photovoltaic system , 2013, Appl. Soft Comput..

[6]  Henrik Madsen,et al.  Optimization of Conventional Rule Curves Coupled with Hedging Rules for Reservoir Operation , 2014 .

[7]  Aimrun Wayayok,et al.  Preference Index-Based Allocation of Optimized Cropping Area at the Mirpurkhas Subdivision: Jamrao Irrigation Scheme in Sindh, Pakistan , 2015 .

[8]  Ahmed El-Shafie,et al.  Reservoir Optimization in Water Resources: a Review , 2014, Water Resources Management.

[9]  Nilgun B. Harmancioglu,et al.  Sustainability Issues in Water Management , 2013, Water Resources Management.

[10]  P. L. Patel,et al.  Development of sustainable irrigation planning with multi-objective fuzzy linear programming for Ukai–Kakrapar irrigation project, Gujarat, India , 2013 .

[11]  D. Nagesh Kumar,et al.  Integrated Sustainable Irrigation Planning with Multiobjective Fuzzy Optimization Approach , 2013, Water Resources Management.

[12]  Motahareh Saadatpour,et al.  Particle Swarm Optimization for Automatic Calibration of Large Scale Water Quality Model (CE-QUAL-W2): Application to Karkheh Reservoir, Iran , 2011 .

[13]  Sudhindra N. Panda,et al.  Sectoral Conjunctive Use Planning for Optimal Cropping under Hydrological Uncertainty , 2012 .

[14]  Claudia Pahl-Wostl,et al.  Assessing Framing of Uncertainties in Water Management Practice , 2009 .

[15]  M. P. Biswal,et al.  Fuzzy programming approach to multicriteria decision making transportation problem , 1992 .

[16]  Ping Guo,et al.  Fuzzy multi-objective linear programming applying to crop area planning , 2010 .

[17]  D. G. Regulwar,et al.  Multi Objective Multireservoir Optimization in Fuzzy Environment for River Sub Basin Development and Management , 2009 .

[18]  Ajay Singh.  Optimizing the Use of Land and Water Resources for Maximizing Farm Income by Mitigating the Hydrological Imbalances , 2014 .

[19]  Arthur L. Stoecker,et al.  Nonlinear Reservoir Optimization Model with Stochastic Inflows: Case Study of Lake Tenkiller , 2015 .

[20]  Omid Bozorg Haddad,et al.  Evaluation of Climatic-Change Impacts on Multiobjective Reservoir Operation with Multiobjective Genetic Programming , 2015 .

[21]  Donald E. Grierson,et al.  Comparison among five evolutionary-based optimization algorithms , 2005, Adv. Eng. Informatics.

[22]  Benedetto Matarazzo,et al.  Operating Rules of an Irrigation Purposes Reservoir Using Multi-Objective Optimization , 2008 .

[23]  Carlos A. Coello Coello,et al.  THEORETICAL AND NUMERICAL CONSTRAINT-HANDLING TECHNIQUES USED WITH EVOLUTIONARY ALGORITHMS: A SURVEY OF THE STATE OF THE ART , 2002 .

[24]  A. K. Lohani,et al.  Hydrological time series modeling: A comparison between adaptive neuro-fuzzy, neural network and autoregressive techniques , 2012 .

[25]  Xin-She Yang,et al.  Engineering Optimization: An Introduction with Metaheuristic Applications , 2010 .

[26]  P. Keur,et al.  Identification of Major Sources of Uncertainty in Current IWRM Practice. Illustrated for the Rhine Basin , 2008 .

[27]  Ellips Masehian,et al.  Particle Swarm Optimization Methods, Taxonomy and Applications , 2009 .