Developing the optimal model for correct use of environmental resources in Chelgerd Watershed

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Introduction
Over the past few decades, several models such as the LP model have been used for watershed management and planning as well as determining optimal cultivation patterns for agricultural planning. Management and planning methods are the most important applied management tools for optimal allocating of environmental resources, in order to gain the most profits in the different fields including natural resources, water resources and etc. The purpose of this study was to develop an optimal land use model with an environmental approach using a combined linear programming mathematical optimization method to determine the optimal land use area through spatial optimization of multi-objective land allocation to determine the best location of land uses.
Materials and methods
In this study, by using optimization methods, we tried to produce an environmental model which is compatible with the social and economic conditions of the watershed for determining the better use, conservation and rehabilitation of existent natural resources. For this purpose, a single objective linear programming model with an environmental approach was used for land use optimization and a multi-objective optimization model for optimal allocation of resources.
Results and discussion
After collecting and analyzing the data and entering them into the single-objective optimization model of linear programming, a mathematical model was first developed that determines the optimal area of land uses in the basin and then, using the spatial optimization model for multi-objective land allocation, the optimal land uses location was determined. The proposed combined model is an efficient one because it can simultaneously determine the optimized area and location of land uses.
Conclusions
The results showed that the proposed combined model can be the base for correct management of resources and decrease the degree of soil erosion to nine percent and increase the amount of profit to 96 percent.
Language:
Persian
Published:
Environmental Sciences, Volume:16 Issue: 1, 2018
Pages:
29 to 46
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