scholarly journals Multi-objective fuzzy optimization for sustainable irrigation planning

2020 ◽  
Vol 3 (1) ◽  
pp. 373-389 ◽  
Author(s):  
Jyotiba B. Gurav ◽  
D. G. Regulwar
Keyword(s):  
Crop Production ◽  
Fuzzy Optimization ◽  
Fuzzy Linear Programming ◽  
Cropping Pattern ◽  
Irrigation Planning ◽  
Multi Objective ◽  
Function Coefficient ◽  
Decision Variables ◽  
Optimal Cropping ◽  
Sustainable Irrigation

Abstract The objective of the present work is to determine an optimal cropping pattern under uncertainty, which maximizes four objectives simultaneously, including net benefits (NBF), crop production (CPD), employment generation (EGN) and manure utilization (MUT). Except the objective of maximizing the NBF, the other objectives are related to sustainability. To deal with uncertainty, a multi-objective fuzzy linear programming (MOFLP) model has developed along with fuzziness in decision parameters (objective function coefficient, cost coefficients, technological coefficients and resources) and decision variables (area to be irrigated under each crop in each season) and applied the same to Jayakwadi Project Stage-I, Maharashtra, India. The present study is in the form of a successful attempt to deal with irrigation planning associated with sustainability and uncertainty.

Multi-Objective Fuzzy Linear Programming for Land Allocation under Different Crops in Bhagwanpur Distributary

2019 ◽  
Vol 6 (04) ◽  
Author(s):  
ASHUTOSH UPADHYAYA
Keyword(s):  
Linear Programming ◽  
Crop Production ◽  
Fuzzy Linear Programming ◽  
Programming Method ◽  
Command Area ◽  
Linear Programming Method ◽  
Net Return ◽  
Multi Objective ◽  
Labour Requirement ◽  
Canal Command Area

A study was undertaken in Bhagwanpur distributary of Vaishali Branch Canal in Gandak Canal Command Area, Bihar to optimally allocate land area under different crops (rice and maize in kharif, wheat, lentil, potato in rabi and green gram in summer) in such a manner that maximizes net return, maximizes crop production and minimizes labour requirement employing simplex linear programming method and Multi-Objective Fuzzy Linear Programming (MOFLP) method. Maximum net return, maximum agricultural production, and minimum labour required under defined constraints (including 10% affinity level of farmers to rice and wheat crops) as obtained employing Simplex method were ` 3.7 × 108, 5.06 × 107 Kg and 66,092 man-days, respectively, whereas Multi-Objective Fuzzy Linear Programming (MOFLP) method yielded compromised solution with net return, crop production and labour required as ` 2.4 × 108, 3.3 × 107Kg and 1,79,313 man-days, respectively. As the affinity level of farmers to rice and wheat crops increased from 10% to 40%, maximum net return and maximum production as obtained from simplex linear programming method and MOFLP followed a decreasing trend and minimum labour required followed an increasing trend. MOFLP may be considered as one of the best capable ways of providing a compromised solution, which can fulfill all the objectives at a time.

scholarly journals Sustainable Irrigation through Renovation of Pond: A Case Study on Change of Crop Production, Irrigation, Cropping Pattern and Cropping Intensity Level in Sub Himalayan Terai Region of India

2020 ◽  
pp. 7-18
Author(s):  
Ganesh Das ◽  
Sankar Saha ◽  
F. H. Rahman ◽  
Surajit Sarkar ◽  
Sujan Biswas ◽  
...  
Keyword(s):  
Crop Production ◽  
Irrigation System ◽  
Intensity Level ◽  
Cropping Pattern ◽  
Cropping Intensity ◽  
Potential Impact ◽  
Sustainable Irrigation ◽  
Rainfall Region ◽  
Rural Appraisal

Terai region of West Bengal fall under high rainfall region but 90% rainfall occurs in kharif season and drought observed during rabi season.  NICRA project started in the Cooch Behar District during 2011. The project area and plan of work were selected on the basis of participatory rural appraisal method. The experimental trial was conducted from 2011 to 2019. The objective of the experiment was to development of sustainable irrigation system through renovation of pond and its impact on crop production. It was found from the study that pond renovation has potential impact on increasing crop yield, cropping intensity, copping system and area of irrigation.

Development of sustainable irrigation planning with multi-objective fuzzy linear programming for Ukai–Kakrapar irrigation project, Gujarat, India

2013 ◽  
Vol 40 (7) ◽  
pp. 663-673 ◽  
Author(s):  
A.B. Mirajkar ◽  
P.L. Patel
Keyword(s):  
Linear Programming ◽  
Water Resources ◽  
Fuzzy Linear Programming ◽  
Exceedance Probability ◽  
Command Area ◽  
Irrigation Planning ◽  
Multi Objective ◽  
Irrigation Project ◽  
Conflicting Objectives ◽  
Inflow Conditions

Multi-objective fuzzy linear programming (MOFLP) approach is applied with four conflicting objectives, viz maximization of net benefits, employment generation, minimization of cost of cultivation and maximization of revenue generation from municipal and industrial supplies (M and I), on a water resources project (Ukai), Gujarat, India. The results from the model are reported for the most critical year (90% exceedance probability), critical year (85% exceedance probability), normal year (75% exceedance probability), and wet year (60% exceedance probability) inflow conditions. The degree of satisfaction of the proposed MOFLP model, considering all objectives together, for wet year, normal year, critical year and most critical year are found to be 0.527, 0.515, 0.50, and 0.46 respectively; and corresponding net irrigation benefits for different inflow conditions are computed as 10 611.91 Million Rs, 10 476.67 Million Rs, 8 311.0044 Million Rs, and 6 900.051 Million Rs, respectively. The proposed MOFLP model indicated that probable inflow corresponding to 75% dependability level is marginally sufficient to meet the requirement of the study area, and water availability becomes deficit in the command area for 85% dependability inflow condition. The optimized crop areas from the model, complying with the requirement of existing flood rules, and satisfying relevant conflicting objectives would help the decision makers in sustainable management of water resources in Ukai command area.

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