Shallow landslide hazard zonation using bivariate statistical methods and GIS(Case study: glandrood watershed)

Subject Areas : forest

ali gilanipoor ¹ ( کارشناسی ارشد جغرافیا- دانشگاه آزاد اسلامی واحد نور )
sadroddin motevalli ² ( دانشیار گروه جغرافیا دانشگاه آزاد اسلامی واحد نور )

Received: 2015-05-13 Accepted : 2015-09-10 Published : 2015-09-22

Keywords: GIS, landslide index, Alborz, Shallow landslide, certainty factor, northern uplands, Noor,

Abstract :

Abstract Nowadays, landslides are treats for terrestrial ecosystems and their living organisms and they are present in the study area. The aim of current research is obtaining the most important effective factors on shallow landslide occurrence in northern Alborz (Noor County). In the first place, landslide locations were determined by field monitoring and the inventory map of landslides was then prepared. Subsequently, the most effective factors on the landslide incident from 16 data layers, such as biotic and abiotic factors, were derived into ArcGIS 9.3 software. Three models including Landslide Index, Frequency ratio and Certainty Factor were considered to provide the landslide susceptibility map. ROC curve was used to evaluate the models. Results showed that hydrologic elements such as of soil humidity, soil infiltrability, and soil texture along have the highest amount of relationship with the occurrence of shallow landslides in the study region. The results of assessment of model analysis also showed that the shallow landslide zonation map obtained from frequency ratio mode is more accurate one. 

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