4.7 Article

Investigating the effects of management of irrigation water distribution on farmers' gross profit under uncertainty: A new positive mathematical programming model

期刊

JOURNAL OF CLEANER PRODUCTION
卷 351, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2022.131277

关键词

Water transfer; Robust positive mathematical programming; Uncertainty; Mont Carlo simulation; Tajan irrigation and drainage network

资金

  1. Research and Technology Deputy of Sari Agricultural Sciences and Natural Resources University, Iran [02-2018-11]

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The aim of this study is to develop an optimal water distribution model for irrigation under uncertain conditions and analyze the impact of water redistribution on farmers' gross profit. The results showed that as the probability of deviation in available water constraint increases, crop cultivation area decreases, leading to a decline in farmers' gross profits.
The Middle Eastern countries along with Iran possess an arid to semi-arid climates. For this reason, they encounter many problems in water supply and distribution within different sectors, especially agriculture. Hence, it is necessary to achieve some strategies for optimal, efficient and fair use of water supplies and irrigation grids to manage water allocation and distribution for irrigation in agricultural sector to reduce water wastes. To this end, the present study mainly aims to formulate a model for optimal water distribution for irrigation under uncertain conditions and the impact of water redistribution on the gross profit of farmers. In this study, positive mathematical programming was used and for applying uncertainty in water transfer model, robust optimization method was utilized. A combination of these two methods led to invention of a robust positive mathematical programming (RPMP) model. Tajan Irrigation and Drainage Network in northern Iran was selected as a case study to evaluate the ability of the proposed model. The results showed that with the increase in the probability of deviation (p) of the available water constraint, area under cultivation of all the selected crops decreases, and this can reduce production ultimately declining farmers' gross profits. Also, as the probability level (p) increases, amount of water transfer from upstream to downstream of irrigation and drainage network increases. Thus, cultivation structure should be mitigated for farming crops in order to prevent from reduced profit for farmers. The results of Monte Carlo Simulation indicated that using results of RPMP model were reliable and it might noticeably contribute to changing cultivation pattern.

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