Evaluation of earthquake-induced landslides hazard zonation methods: a case study of Sarein, Iran, earthquake (1997)
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ORIGINAL PAPER
Evaluation of earthquake-induced landslides hazard zonation methods: a case study of Sarein, Iran, earthquake (1997) S. M. Fatemi Aghda & V. Bagheri
Received: 18 May 2014 / Accepted: 29 September 2014 # Saudi Society for Geosciences 2014
Abstract Landslides, in general, and seismic landslides, specifically, are among the phenomena that caused a huge loss to the humans over the past years. In this research, one of the novel methods for seismic landslides hazard zonation, a comprehensive areal model of earthquake-induced landslides (CAMEL), is applied to predict the concentration and hazard induced by the landslides and evaluate these landslides by the quantitative approaches. In this regard, the zone affected by the Mw =6.1 Sarein earthquake (1997) was selected as the model area. At first, the necessary information including disturbance distance (distance from river and road), ground strength class, ground moisture, shaking intensity, slope angle, slope height, soil depth, terrain roughness, material type, and vegetation were collected using aerial photos, Landsat satellite images, geological and topographic maps, and site investigation of the studied region. These data were digitized and weighed using the digital geographic information system (GIS) in a comparative manner, and then concentration and hazard of the seismic landslides were predicted using the CAMEL program. Next, by empirical comparing the landslides triggered by Sarein earthquake and the predicted concentration, the accuracy of this technique was evaluated. It can be inferred that CAMEL predicts soil landslides concentration more efficient than rock landslides. For rock slumps and block slides, CAMEL’s performance was slightly poorer. The model predicted a low occurrence of rock slumps and block slides, when none in fact occurred. A similar comparison with the Sarein case study was also conducted using a quantitative method. The accuracy of both quantitative and CAMEL approaches was evaluated using the quantitative zonation, revealing improved performance with CAMEL. S. M. F. Aghda (*) : V. Bagheri Department of applied Geology, Faculty of Geological Science, Kharazmi University, Tehran 15815-3587, Iran e-mail: [email protected]
Keywords Earthquake . Seismic landslides . Fuzzy logic . Regional landslide hazard zonation . GIS . Evaluation
Introduction In the recent years, population growth and development of residential areas in high-risk regions have caused a rise in damages related to natural disasters in developed or developing countries. Most of these damages, and occasionally a considerable share of the losses, are related to the occurred landslides during or after earthquakes. The seismic landslides have caused death of more than thousands of people and billion dollar losses in the recent century (Wilson and Keefer 1985). They can destruct the engineering constructions and affect the transportation system, infrastructures such as water, gas, and oil, and electricity transmission lines. Road obstruction by landslide during eart
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