Multiobjective fuzzy linear programming for sustainable irrigation planning: an Indian case study

Raju, K. Srinivasa; Duckstein, Lucien

doi:10.1007/s00500-002-0230-6

Cited by 21 publications

(13 citation statements)

References 9 publications

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“…A FLP model was developed by Valunjkar () for deriving optimal cropping pattern for the command area of the Pench irrigation project in Maharashtra, India, for different reliable flow conditions. Some studies regarding MOFLP for optimal crop planning were reported by Raju and Nagesh Kumar (), Raju and Duckstein (), Sahoo et al . (), Zeng et al .…”

Section: Introductionmentioning

confidence: 99%

A multiobjective fuzzy linear programming model for sustainable integrated operation of a multireservoir system

Arunkumar

Jothiprakash

2016

Lakes & Reservoirs

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Irrigated agriculture is the largest consumer of water, with high significance in India as the majority of its people depend on it. Rainfall uncertainties, and uneven distribution of utilizable water over space and time, have presented a serious challenge to irrigation water management and crop production. Surface water reservoirs play a major role in supplying irrigation water and also addressing uneven water distribution to some degree. Varying water requirements for different crops under multiple canals, however, requires that planners develop an optimal crop planning for the efficient operation of a multireservoir irrigation system. The spatial and temporal water transfer within a multireservoir irrigation system necessitates integrated operation of all the involved reservoirs. Thus, integrated operation of a multireservoir system is a fundamental requirement for efficient irrigation water management, and also become a key issue for sustainable agricultural development. This study derived an optimal crop plan for the integrated operation of a complex multireservoir system with intrabasin water transfer, using a multiobjective fuzzy linear programming (MOFLP) approach. The MOFLP model resulted in a level of satisfaction of 0.46, with an irrigation intensity of 102.18%, and a total crop area of 149 232.10 ha. The optimal policies were furthermore assessed with various statistical indicators with a simulation model, indicating they are performing well, with high reliability and resilience for longer periods. Key wordsintrabasin water transfer, multiobjective fuzzy linear programming, multireservoir system, sustainable crop planning.

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Section: Introductionmentioning

confidence: 99%

A multiobjective fuzzy linear programming model for sustainable integrated operation of a multireservoir system

Arunkumar

Jothiprakash

2016

Lakes & Reservoirs

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“…Raju and Duckstein [24] have developed the MOFLP model for sustainable irrigation planning considering the three objectives as fuzzy. Regulwar and Anand Raj ( [25,26]) have developed a monthly Multi Objective Genetic Algorithm Fuzzy Optimization model.…”

Section: Introductionmentioning

confidence: 99%

Two-Phase Multi Objective Fuzzy Linear Programming Approach for Sustainable Irrigation Planning

Regulwar¹,

Gurav²

2013

JWARP

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The objective of the present study is to develop the irrigation planning model and to apply the same in the form of TwoPhase Multi Objective Fuzzy Linear Programming (TPMOFLP) approach for crop planning in command area of Jayakwadi Project Stage I, Maharashtra State, India. The development of TPMOFLP model is on the basis of various Linear Programming (LP) models and Multi Objective Fuzzy Linear Programming (MOFLP) models, these models have been applied for maximization of the Net Benefits (NB), Crop production (CP), Employment Generation (EG) and Manure Utilization (MU) respectively. The significant increase in the value of level of satisfaction (λ) has been found from 0.58 to 0.65 by using the TPMOFLP approach as compare to that of MOFLP model based on maxmin approach. The two-phase approach solution provides NB = 1503.56 Million Rupees, CP = 335729.30 Tons, EG = 29.74 Million Man days and MU = 160233.70 Tons respectively. The proposed model will be helpful for the Decision Maker (DM) to take a decision under conflicting situation while planning for different conflicting objectives simultaneously and has potential to find out an integrated irrigation planning with prime consideration for economic, social and environmental issue.

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“…On the other hand, in case of FLP for each additional objective function only one constraint is required. Another notable thing is the flexibility to convert the fuzzy model into existing optimization software makes the approach more useful (Raju and Duckstein 2003). Itoh et al (2003) have presented crop planning problem with profit coefficients for agricultural products as discrete random variable.…”

Section: Introductionmentioning

confidence: 99%

Irrigation Planning Under Uncertainty—A Multi Objective Fuzzy Linear Programming Approach

Regulwar

Gurav

2010

Water Resour Manage

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The problem of irrigation planning becomes more complex by considering an uncertainty. The uncertainties can be tackled by formulating the problem of irrigation planning as Fuzzy Linear Programming (FLP). FLP models can incorporate the scenario of real world problem. In the present study, Multi Objective Fuzzy Linear Programming (MOFLP) irrigation planning model is formulated for deriving the optimal cropping pattern plan for the case study of Jayakwadi project in the Godavari river sub basin in Maharashtra State, India. Four conflicting objectives are considered such as Net Benefits (NB), Crop/Yield Production (CP), Employment Generation/Labour Requirement (EG) and Manure Utilization (MU). Four different cases are considered to incorporate the uncertainty in MOFLP model. To include the uncertainty in irrigation planning problem only objectives are taken as fuzzy and constraints are crisp in nature in Case-I. To consider the uncertainty involved in availability of resources, in Case-II the stipulations are fuzzy. The technological coefficients are fuzzy in Case-III. The Case-IV includes both technological coefficients and stipulations fuzzy. The level of satisfaction (λ) works out to be 0.58, 0.50, 0.50 and 0.28 respectively for Case-I to IV. The results obtained in Case-IV are more realistic and promising as it involves the uncertainty in technological coefficients and stipulations simultaneously.

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Multiobjective fuzzy linear programming for sustainable irrigation planning: an Indian case study

Cited by 21 publications

References 9 publications

A multiobjective fuzzy linear programming model for sustainable integrated operation of a multireservoir system

A multiobjective fuzzy linear programming model for sustainable integrated operation of a multireservoir system

Two-Phase Multi Objective Fuzzy Linear Programming Approach for Sustainable Irrigation Planning

Irrigation Planning Under Uncertainty—A Multi Objective Fuzzy Linear Programming Approach

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