Volume 8, Issue 2 (7-2018)                   Disaster Prev. Manag. Know. 2018, 8(2): 161-172 | Back to browse issues page

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1- Assistant Professor, Faculty of Earth Sciences, Department of Natural Geography, Shahid Beheshti University
2- Professor, Faculty of Geography, Tehran University
Abstract:   (3958 Views)
Background and objective: Nowadays the slide movements may cause damages such as killing people and animals, destroying residential areas, increasing the soil erosion, filling the dams’ reservoir, destroying roads and bridges, decreasing the soil fertility in farmlands and in consequence reducing the agricultural products and increasing the immigration to cities and many other problems. Therefore it is necessary to know the landslide zones and analyzing the effective elements on the movements to reduce the damages inflicted to people and environments. Golestan Provence, in north of Iran, with 200 registered slide movements, is one of the most active areas in terms of landslide and Ramian basin, with 65 movements, has a high potential. This study considers the landslides and hazard zoning in this area.
Method: This study is done by LNRF model and GIS and RS tool to identify landslides and movement zones. The results show some problems of the mentioned model despite of its efficiency, so modified and new factors considered in this basin. The effective parameters such as geology, distance from fault, slope, slope direction and land usage are considered in order to landslide hazard zoning.
Finding: The parameters analyzed by using weighted values method and then landslide hazard zoning map drew in 5 categories. About 35% of this basin located in high potential category whereas Malach Aram and Virou Villages are located in very high potential category.
Results: The results show that landslide high potential zone in this basin, categorized by using LNRF model, and actual location of landslides are well overlap which shows efficiency of this model for landslide zoning.
 
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Type of Study: Research | Subject: Special
Received: 2018/01/26 | Accepted: 2018/04/15 | ePublished: 2018/07/4

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