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Tarbiat modares
Abstract:   (20 Views)

One of the goals of geomorphologists in working with the models of different landforms is to obtain better relations in realizing the physical realities of environment. In this study, to evaluate the performance of geomorphometric parameters to increase accuracy of zoning landslide susceptibility map has been studied. As the first step by the application of nine initial parameters in landslideoccurrence including slope, aspect, elevation, land use, lithology, distance from roads, rivers and vegetation index( NDVI) the zoning map was provided. In the next step geomorphometric parameters influential on the occurrence of landslide including topographic location index (TPI), surface curvature, curved sections, slope length (LS), Topographic wetness index(TWI), stream flow power (SPI), surface area ration index (SAR), was added to the model and then the zoning map was provided.In the final step the zoning maps was evaluated by using ROC curve. To providezoning maps a new mixed model was appliedso, for determination of criteria weights multivariate regressionand to determine weight of theclasses' frequency ratio method was utilized. The findings of this research indicated that geomorphometric indices have a considerable influence on the increase of identification of regions that are vulnerable to the landslides and enhance the accuracy of zoning maps from 0.731 to 0.938. These indices have also increased the resolution of the slip classes.According to the results of the topography location indices parameters, surface curvature and surface ratio have the highest influence on the accuracy of zoning maps. Based on the regionalization results and geomorphometric parameters, 8.68% (6737 ha) of the region are at very high risk and 15.3% (11906 ha) have been identified as high risk areas. According to the high ability of geomorphologic parameters in the identification of vulnerable areas to the landslide, the application of these parameters is recommended in landslide hazard zonation.

     
Type of Study: Research | Subject: بلايای طبيعی (سيل، خشکسالی و حرکت های توده ای)
Received: 2017/07/13 | Accepted: 2018/04/21

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