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Showing 2 results for feyzolahpour

Reza Khoshraftar, Gholam Hassan Jafari, Mehdi Feyzolahpour, Habib Arain Tabar, Parvaneh Moradi,
Volume 19, Issue 54 (12-2019)
Abstract

In this research, due to the abundance of tectonic and karstic structures in the Prav Bisotun region, the relation between fault building and karstic springs was evaluated. To do this, we first prepare information layers including the location of the springs, the location of the closed holes, faults, the slope and the elevation floor layer, and then the graph of the grains of the faults is drawn and weighted by the weight of the evidence Was investigated. Investigation of the relationship between springs and faults in the Prav Bistuon region using the weighted method showed that there is a close relationship between tectonic elements and the frequency of springs, so that at low distances of the faults, the number of springs more and with The distance from the fault, the number and frequency of springs, is reduced. Also, the results of diagrams showed that faults have a direct effect on the origin and orientation of the springs. In the study of the relationship between the slope and abundance of springs, it was found that most of the springs were located on a gradient of 0 to 5 percent and elevations of 1200 to 1400 meters. The above altitudes cover the mountain slopes.
 


Mehdi Feyzolahpour, Marziye Manafi, Reza Khoshraftar, ,
Volume 21, Issue 62 (10-2021)
Abstract

Reviewing the damage caused by landslide proves the need to examine the factors influencing the occurrence of this phenomenon and the prediction of its occurrence. Therefore, the purpose of this study was to improve the prediction of landslide occurrence in the Taleghan watershed using Shannon Entropy Theory. Among the factors influencing the occurrence of landslide, ten factors of elevation, slope, slope direction, geology, vegetation, land use, water congestion, fault, road, rainfall as independent variables and sliding zones were considered as dependent variables. Then, using the entropy index, weighing was calculated for each of these factors based on their effectiveness, and the value map of each parameter was calculated according to its weight. In the next step, by mapping these maps with the map of landslides, a risk zoning map for the basin was drawn up. After calculating the Shannon entropy index, it was determined that 86% of the landslide area is in three medium-risk, high-risk and highly hazardous areas, indicating that the final map of the zoning is based on the correct method. Also, the total quality index (Qs) in this method was equal to 2.3, which indicates that this method is more reliable and more suitable for zoning of landslide hazard in Taleghan watershed. The accuracy of the method (P) for the entropy model was equal to 0.24, indicating a more appropriate resolution of the risk zones in this method.


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