Conjunctive use of surface and ground water using Fuzzy Neural Network and Genetic Algorithm.

Semiarid regions with their exceptional weather conditions, low precipitation, and high evapotranspiration pose a great challenge to water resources managers. One possible way to face this challenge is the conjunctive use of both surface water and groundwater resources in these regions. This paper proposes a conjunctive use model which has been implemented in Najafabad plain in central Iran. The model is one of simulation-optimization in which the simulation portion combines the Fuzzy inference system and Neural Networks (FNN) in order to take the climate conditions and the uncertainty in the relevant data into consideration while the optimization portion consists of a multi-objective Genetic Algorithm (GA). The objectives of the optimization model include not only minimizing water shortages in meeting the irrigation demands by the three irrigation systems operating in the region but also minimizing groundwater drawdown in order to control groundwater extraction in the aquifer. These objectives are subject to constraints on the maximum amount of surface and groundwater allocated to the irrigation zones and the maximum capacity of surface irrigation systems and also maximum and minimum allowable cumulative drawdown in the planning horizon. The results of the proposed FNN-GA model demonstrate the importance of the interactions between surface water and groundwater resources considered in a conjunctive use model for the planning and management of water resources in semiarid regions.

[1]  Vahid Nourani,et al.  A geomorphology-based ANFIS model for multi-station modeling of rainfall–runoff process , 2013 .

[2]  C. Zheng,et al.  GROUND WATER MANAGEMENT OPTIMIZATION USING GENETIC ALGORITHMS AND SIMULATED ANNEALING: FORMULATION AND COMPARISON 1 , 1998 .

[3]  H. Safavi,et al.  CONJUNCTIVE SIMULATION OF SURFACE WATER AND GROUND WATER RESOURCES UNDER UNCERTAINTY , 2009 .

[4]  Yee Leung.  Interregional Equilibrium and Fuzzy Linear Programming: 1 , 1988 .

[5]  Robert Willis,et al.  Conjunctive‐Use Planning in Mad River Basin, California , 1992 .

[6]  Miguel A. Mariño,et al.  Simulation-Optimization Modeling of Conjunctive Use of Surface Water and Groundwater , 2010 .

[7]  Mehmet Özger,et al.  Comparison of fuzzy inference systems for streamflow prediction , 2009 .

[8]  A. Ahmadi,et al.  Groundwater Vulnerability Assessment Using Fuzzy Logic: A Case Study in the Zayandehrood Aquifers, Iran , 2012, Environmental Management.

[9]  Miguel A. Mariño,et al.  Conjunctive management of surface water and groundwater , 2001 .

[10]  Robin Wardlaw,et al.  Optimisation to assist IWRM and conjunctive water use , 2011 .

[11]  F. Feng,et al.  Reply to "Comment on , 1977 .

[12]  Thomas Maddock,et al.  Algebraic technological function from a simulation model , 1972 .

[13]  B. C. Mal,et al.  Optimal Crop Planning and Conjunctive Use of Water Resources in a Coastal River Basin , 2002 .

[14]  Bill Provencher,et al.  Approximating the optimal groundwater pumping policy in a multiaquifer stochastic conjunctive use setting , 1994 .

[15]  Hamid R. Safavi,et al.  Optimal Crop Planning and Conjunctive Use of Surface Water and Groundwater Resources Using Fuzzy Dynamic Programming , 2011 .

[16]  Marino,et al.  Cyclic storage design and operation optimization; hybrid GA decomposition approach , 2008 .

[17]  Vahid Nourani,et al.  An ANN‐based model for spatiotemporal groundwater level forecasting , 2008 .

[18]  Thomas Maddock,et al.  Management model as a tool for studying the worth of data , 1973 .

[19]  Guna N. Paudyal,et al.  Irrigation planning by multilevel optimization , 1990 .

[20]  P. P. Mujumdar,et al.  Conjunctive use modeling for multicrop irrigation , 2005 .

[21]  Nien-Sheng Hsu,et al.  Multiobjective Water Resources Management Planning , 1984 .

[22]  A. Gupta,et al.  Operation of a groundwater reservoir in conjunction with surface water , 1987 .

[23]  L. Zhang,et al.  Advance on conjunctive operation of surface water and groundwater , 2014 .

[24]  Robert Willis,et al.  Water Resources Management in North China Plain , 1989 .

[25]  Hakan Başaǧaoǧlu,et al.  Joint Management of Surface and Ground Water Supplies , 1999 .

[26]  Kerry Gallagher,et al.  Reply to comment regarding the ICE-hypothesis , 2009 .

[27]  Martin T. Hagan,et al.  Neural network design , 1995 .

[28]  S. Gorelick.  A review of distributed parameter groundwater management modeling methods , 1983 .

[29]  S. Pathak,et al.  Optimal crop planning for a region in India by conjunctive use of surface and groundwater , 1989 .

[30]  Mohammad Karamouz,et al.  Application of Genetic Algorithms and Artificial Neural Networks in Conjunctive Use of Surface and Groundwater Resources , 2007 .

[31]  Peter Dempsey,et al.  Conjunctive water use for irrigation: good theory, poor practice , 1991 .

[32]  Peter Rogers,et al.  The Integrated Use of Ground and Surface Water in Irrigation Project Planning , 1970 .

[33]  Mohammad Karamouz,et al.  Monthly Water Resources and Irrigation Planning: Case Study of Conjunctive Use of Surface and Groundwater Resources , 2004 .

[34]  G. Guo,et al.  Reply to the comment , 1997, quant-ph/9710014.

[35]  N. Buras,et al.  Conjunctive Operation of Dams and Aquifers , 1963 .