Hassan Moghim; Masoud Nejabat
Abstract
From the viewpoint of landslide occurrence, Parsian dam Watershed is one of the high risk regions for landslide hazard based on its geological and climatological conditions. Landslide occurrence usually make huge damages and also high amount of sediments. Landslide control and management is planned according ...
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From the viewpoint of landslide occurrence, Parsian dam Watershed is one of the high risk regions for landslide hazard based on its geological and climatological conditions. Landslide occurrence usually make huge damages and also high amount of sediments. Landslide control and management is planned according to Landslide Hazard Zonation (LHZ) that is obtainable through empirical models. The aim of this research was to assess the efficiency of two empirical models, Modified Nilsson and Relative Effect in LZH. First, prepared maps such as landslide distribution, slope, geology, land use, land cover, roads, drainages, faults, isohyet and hypsometric were imported into GIS environment and then the landslide hazard zonation was carried out by applying Modified Nilsson and Relative Effect models. Capability assessment of two models and determination of the more efficient one were evaluated using two statistical analysis methods namely quality summation (Qs) and correlation coefficient (R). Comparison of results from above two models with real map of happened landslides at Parsian dam Watershed showed that the relative effect model with quality summation of 1.00 and correlation coefficient of 0.941, is more efficient for landslide hazard zonation in Parsian dam Watershed.
Hassan Vagharfard; Hassan Moghim
Abstract
Flood spreading is an effective way to increase the groundwater level, rectify the critical conditions of groundwater, and prevent flooding at Naeim-Abad, Fars Province. The most important step in the successful implementation of artificial recharge is the selection of recharge areas in the studied region. ...
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Flood spreading is an effective way to increase the groundwater level, rectify the critical conditions of groundwater, and prevent flooding at Naeim-Abad, Fars Province. The most important step in the successful implementation of artificial recharge is the selection of recharge areas in the studied region. In this research, the GIS technique and Analytical Hierarchical Process (AHP) method have been used. We considered nine factors–land, slope, and distance from the road, altitude, thickness of the alluvium, distance from the stream, surface permeability, land use, and fault for analysis in this research. Each layer was prioritized using the AHP method and the different layers were integrated. Expert Choice software was used to prioritize nine considered factors. The results showed that 3.6% of the Naeim-Abad area was suitable for flood spreading based on the AHP method and GIS technique. In this research, hydrologic factors with a weight of 0.687 had the most impact among the main criteria for locating areas prone to flood spreading. Among the sub-criteria of this criterion, surface permeability with a weight of 0.558 had the greatest influence. In addition, the sub criterion of land use was weighted equal to 0.701, which had the highest weight among the sub criteria. The lowest weight among the sub criteria was attributed to the distance from the road with a weight of 0.106, which indicated the least influence on locating suitable areas for flood spreading.
