Article

economic optimal allocation of agriculture water: mathematical programming approach

Abstract

due to increasing demand for the scarce available water throughout the world it is an extremely important matter, in water management, to make serious attempts in determining its true economic value. this paper discusses the optimal allocation of water to agriculture, the relatively true economic value of water as well as the cropping patterns for the shirvan barzo (sb) dam area in north khorasan province of iran. the analysis is based on linear programming (lp) and on multi goal linear programming (mglp) models for determining solutions that can maximize net return to farmers. in the study, the priority of goals is developmental, social, economical, and environmental respectively. the results indicated that optimizing the cropping patterns along with proper the allocation of irrigation water has yet substantial potential to increase the net return from agriculture. it has already decreased the applied water as much as 19 percent. the results show that the economic value of each unit of agricultural water is estimated to be between 107 to 1296 irr×104 per cubic meter. this suggests managing the allocation of water based on optimal models and bring water prices close to its true economic value to motivate the farmers to economize in the applied water.

Similar items

  • Economic Optimal Allocation of Agriculture Water: Mathematical Programming Approach

    Article2011Journal of Agricultural Science and TechnologyA. Keramatzadeh, A. H. Chizari, R. Moore

    Due to increasing demand for the scarce available water throughout the world it is an extremely important matter, in water management, to make serious attempts in determining its true economic value. This paper discusses the optimal allocation of water to agriculture, the relativ

  • Allocative Efficiency in a Traditional Orissan Agriculture a Linear Programming Approach

    Scholarly record2005Purusottam Nayak

    The present paper is a humble attempt to test the allocative efficiency of the farmers in a traditional Orissan agriculture system in terms of resource-use and crop selection. While examining their allocative efficiency it is noted that the rational farmers are not necessarily ef

  • A linear bi-level multi-objective program for optimal allocation of water resources

    Scholarly record2018PloS oneIjaz Ahmad, Fan Zhang, Junguo Liu, Muhammad Naveed Anjum

    This paper presents a simple bi-level multi-objective linear program (BLMOLP) with a hierarchical structure consisting of reservoir managers and several water use sectors under a multi-objective framework for the optimal allocation of limited water resources. Being the upper leve

  • A Mathematical Programming Approach to Stochastic and Dynamic Optimization Problems

    Scholarly record1994Dimitris Bertsimas

    We survey a new approach that the author and his co-workers have developed to formulate generic stochastic and dynamic optimization problems as mathematical programming problems. The approach has two components: (a) it produces bounds on the performance of an optimal policy, and

  • Semantic-based Optimal XML Schema Matching: A Mathematical Programming Approach

    Scholarly record2010Jaewook Kim, Yun Peng, Nenad Ivezic, Junho Shin

    We propose a novel solution for semantic-based XML schema matching, taking a mathematical programming approach. This method identifies the globally optimal solution for the problem of matching two XML schemas by reducing the tree-to-tree matching problem to simpler problems of pa

  • Determination of Economic Value of Agricultural Water in Greenhouse Cultivation of Qazvin Plain

    Article2019علوم و فنون کشت های گلخانه ایMosavi, H.، Najafi Alamdar loo, H.، Ranjbaran, F.

    Water valuation is one of the most important economic instruments for managing the increasing demand for water in agriculture. Hence, the main objective of this study is to estimate the economic value of water in greenhouse cultivation in Qazvin plain. To achieve the desired goal