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

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 Obje...

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Veröffentlicht in:Water resources management Jg. 25; H. 5; S. 1387 - 1416
Hauptverfasser: Regulwar, Dattatray G, Gurav, Jyotiba B
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Dordrecht Dordrecht : Springer Netherlands 01.03.2011
Springer Netherlands
Springer
Springer Nature B.V
Schlagworte:
Atmospheric Sciences
basins
Case studies
Civil Engineering
Cropping systems
Crops
Decision making
Earth and Environmental Science
Earth Sciences
Earth, ocean, space
employment
Engineering schools
Environment
Exact sciences and technology
Fuzzy
Fuzzy logic
Fuzzy set theory
Fuzzy sets
Genetic algorithms
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Hydrology
Hydrology. Hydrogeology
Hydrology/Water Resources
India
Irrigation
labor
Linear programming
Manures
Mathematical models
Multi objective fuzzy linear programming
Objectives
Optimal cropping pattern
Optimization
planning
Production planning
Random variables
Resource availability
Resource management
River basins
rivers
Studies
Uncertainty
Water resources
Water resources management
Water shortages
Godavari River
Asia
Maharashtra India
Indian Peninsula
India
Optimal cropping pattern
Linear programming
Uncertainty
Multi objective fuzzy linear programming
models
planning
fuzzy sets
irrigation
water resources
water resource management
linear programming
case studies
ISSN:0920-4741, 1573-1650
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Zusammenfassung: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.
Bibliographie:http://dx.doi.org/10.1007/s11269-010-9750-5
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ISSN:0920-4741
1573-1650
DOI:10.1007/s11269-010-9750-5