Mohammad Jafari; Hossein Azarnivand; Mahshid Souri; Seyedeh Khadijeh Mahdavi
Volume 21, Issue 1 , June 2014, , Pages 95-108
Abstract
Water deficiency and low soil moisture, are considered as limiting factors in rehabilitation and improvement of semi-arid rangelands. Considering the problem of water deficiency and low soil moisture in pastures discussed, rainfall storage projects can be one of suitable strategies to compensate for ...
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Water deficiency and low soil moisture, are considered as limiting factors in rehabilitation and improvement of semi-arid rangelands. Considering the problem of water deficiency and low soil moisture in pastures discussed, rainfall storage projects can be one of suitable strategies to compensate for water shortages in such areas. On the other hand, considering several criteria that must be considered in this selection, makes it difficult to choose the appropriate locations to execute projects such as pitting and furrowing. These factors include technical and social-economical criteria. Meykhoran region in Kermanshah Province was considered in this research. In this study, in order to locate suitable areas for pitting and furrowing projects, spatial decision support system were used in three stages. The first stage involves determining hierarchical levels consisting of object, criteria, sub-criteria, and factors. During the second stage, the standardization of criteria based on fuzzy logic, weighting criteria and sub-criteria based on analytical hierarchy process, and paired comparisons of criteria and sub-criteria, with preference values of one to nine and an inconsistency rate of less than one-tenth, were done in ARC-GIS software by using AHP subprogram. In the final step, after integration of these layers, the final maps of optimal sites for pitting and furrowing were prepared. Using this template to locate other natural resources projects will help to optimize use of spatial data, save time and costs.
Ali Akbar Jamali; Jamal Ghodousi; Mahdi Farahpour
Volume 14, Issue 2 , January 2007, , Pages 261-270
Abstract
Composing multi criteria and factors and do right decision making in rangelands for Biological soil Erosion Control is very complicate and strongly need to apply computer and spatial decision support systems. With these and experience a decision maker can show the best solution fast. Hable Roud ...
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Composing multi criteria and factors and do right decision making in rangelands for Biological soil Erosion Control is very complicate and strongly need to apply computer and spatial decision support systems. With these and experience a decision maker can show the best solution fast. Hable Roud watershed had many spatial data that provided by companies and organizations. Rangelands in this watershed were selected. A model for compositing the natural suitable spatial factors (sediment discharge, slope, rainfall, Range Factors: animal unit month, range trend, range condition), economic (proximity to road, proximity to villages, proximity to rivers, proximity to wells, proximity to spring) and constraints (slope, land use, village, roads, rivers, and rainfall shortage) was designed for suitable biological soil erosion control planning. Then they were standardized in value range between 0 & 1. they were weighted by analytical hierarchical processing (AHP). Of course some cases were weighted by direct method. Compositing of these layers were done by spatial multi criteria evaluation (SMCE). Output was composite index map. This map was classified by its histogram, and identified in each class which measure should be done. Biological soil erosion control plan was recommended (manure spreading, seeding with manure spreading, seedling and enclosure).