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, M Fallah,
Volume 10, Issue 2 (Vol. 10, No. 2 Summer 2016 2016)

This paper presents landslide assessment and landslide hazard zonation of the Polroud Dam area. Polroud Dam is one of the largest dams that are in construction, 29 km south of Roudsar in Gilan Province. Considering to geomorphology and geological conditions of the area, the site is susceptible to landslide hazard. Field survey shows many evidences of the instabilities especially in the slopes overlooking to the dam and the reservoir. The historical record also demonstrates high potential of the region to slope instabilities. A large landslide that occurred in 1996 discern that the frequency of the hazard in the region. Therefore, Identification of the landslide potential hazard is vital before impounding the reservoir. In this study, we investigated landslide hazard in the site and we have prepared landslide hazard zonation map using the main parameters. These parameters include; slope percent, slope aspect, lithology, fault, roads, drainage catchment, elevation, vegetation and precipitation amount. Analytic Hierarchical Process (AHP) has been used to prepare and to cross the maps. The results show that about 26 percent of the slopes are situated in highly hazard zones. It was determined also that lithology and slope aspects play main role in occurring of the landslides in the study area.

Dr Nasrollah Eftekhari, Dr Sasan Motaghed, Dr Lotfallah Emadali, Dr Hasi Sayyadpour,
Volume 16, Issue 2 (Summer 2022 2022)

In the variability of earthquake hazard analysis results, ground motion prediction equations play an important role. Selection of appropriate prediction relationships for the region can lead to stability and accuracy of earthquake hazard analysis results. In this study, different prediction relationships were investigated and analyzed for earthquake hazard analysis in Ahvaz city. These relationships were ranked based on the criteria of logarithmic probability, Euclidean distance and deviation information in different periods. Then the most efficient relationships were selected by data envelopment analysis (DEA) method on the basis of differences in the obtained results. Out of 67 possible relationships, 5 were identified as suitable relationships for earthquake hazard analysis in the Ahvaz urban area. Then, a special efficiency criterion was used to determine the weight of these relationships. The results of this study can help to reduce to a large extent the uncertainties involved in analyzing the seismic hazard of the area studied.

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