Moslem Heydari; Afshin Honarbakhsh; Mahdi Pajoohesh; Maryam Zangiabadi
Volume 16, Issue 1 , April 2018, , Pages 29-46
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 pattern for agricultural planning. Management and planning methods are the most important applied tools of management science for ...
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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 pattern for agricultural planning. Management and planning methods are the most important applied tools of management science 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 combination of linear programming mathematical optimization method to determine the optimal land use area by spatial optimization method of multi objective land allocation to determine The optimal location of land uses. Materials and methods: In this study using optimization methods tried to produce an environmental model which is compatible with social and economic condition of watershed for better use, conservation and rehabilitation of existent natural resources. For this purpose, a single objective linear programming model with environmental approach was used to 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 of multi-objective land allocation the optimal land uses location was determined. The proposed combined model is an efficient model 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 amount of soil erosion to 9 percent and increase the amount of profit to 96 percent.
Moslem Heydari; Seyed Javad Sadatinejad; Afshin Honarbakhsh
Volume 11, Issue 4 , January 2014
Abstract
River basin lag time is an important factor in the linear modelling of river basin response. In this study, the modelling of lag time using fuzzy regression is applied. For this purpose, the data for rainfall-runoff events of Khanmirza basin (nine events) were collected and analysed. Following on, events ...
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River basin lag time is an important factor in the linear modelling of river basin response. In this study, the modelling of lag time using fuzzy regression is applied. For this purpose, the data for rainfall-runoff events of Khanmirza basin (nine events) were collected and analysed. Following on, events were divided into two groups: one for formulas based on fuzzy regression and another for the validation of these formulas. The results obtained from this study, based on RE and RMSE statistical measures, showed that the efficiency of newly developed formulas based on fuzzy regression methods is higher than for other formulas used for the calculation of time of concentration.
