Multi Objective Sustainable Irrigation Planning with Decision Parameters and Decision Variables Fuzzy in Nature

This paper presents the Multi Objective Fuzzy Linear Programming (MOFLP) model, which deals with the fuzziness in resources and decision variables, closer to the real world situation. The MOFLP model is developed and applied to the Jayakwadi Project Stage-I built across the river Godavari in the Sta...

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Bibliographic Details
Published in:Water resources management Vol. 26; no. 10; pp. 3005 - 3021
Main Authors: Gurav, Jyotiba B., Regulwar, D. G.
Format: Journal Article
Language:English
Published: Dordrecht Springer Netherlands 01.08.2012
Springer
Springer Nature B.V
Subjects:
Agriculture
Atmospheric Sciences
Case studies
Civil Engineering
Crop production
Crops
Decision making
Earth and Environmental Science
Earth Sciences
Earth, ocean, space
Employment
Environment
Exact sciences and technology
Fuzzy
Fuzzy logic
Fuzzy set theory
Fuzzy sets
Geotechnical Engineering & Applied Earth Sciences
humans
Hydrogeology
Hydrology. Hydrogeology
Hydrology/Water Resources
India
Irrigation
irrigation rates
Linear programming
Manures
Mathematical models
Maximization
Objectives
Optimization
Planning
Rain
rivers
Seasons
Sorghum
Studies
Sustainable development
Utilization
Water resources
Water resources management
Asia
Maharashtra India
India
India, Maharashtra
Multi Objective Fuzzy Linear Programming (MOFLP)
Fuzzy decision variables
Fuzzy stipulations/resources
Uncertainty
Irrigation planning
rivers
models
projects
resources
linear programming
sustainable development
planning
irrigation
solution
water resource management
ISSN:0920-4741, 1573-1650
Online Access:Get full text
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Description
Summary:This paper presents the Multi Objective Fuzzy Linear Programming (MOFLP) model, which deals with the fuzziness in resources and decision variables, closer to the real world situation. The MOFLP model is developed and applied to the Jayakwadi Project Stage-I built across the river Godavari in the State of Maharashtra, India. It focuses on the four objectives namely maximization of Net Benefits, maximization of Crop Production, maximization of Employment Generation and maximization of Manure Utilization. The level of satisfaction λ  = 0.625 is worked out for compromised solution for four conflicting objectives under fuzzy environment. The MOFLP model compromised solution for irrigation planning provides Net Benefits 1522.75 (Million Rupees), Crop Production 322504.40 (Tons), Employment Generation 29.27 (Million Man Days) and Manure Utilization 147229.40 (Tons) respectively and irrigation intensity 68.50 %. The results obtained are promising for sustainable development in irrigation sector and closer to the true picture of the real world problem as it incorporates the fuzziness in both resources and decision variables simultaneously.
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ISSN:0920-4741
1573-1650
DOI:10.1007/s11269-012-0062-9