List of Articles Landslide zoning

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  1 - Landslide hazard zonation using geographic information System landslide (Case study: Robat-Siahpoush rural district, Lorestan province)
  Maryam Rahmati Farhad Zand
  Reconstruction and development of the main road Robat-Siahpoush two rural district have increased the risk of mass movements in recent years. Due to the importance of the issue, inhibition and landslide hazard zoning is necessary as one of a variety of natural hazards i More

  Reconstruction and development of the main road Robat-Siahpoush two rural district have increased the risk of mass movements in recent years. Due to the importance of the issue, inhibition and landslide hazard zoning is necessary as one of a variety of natural hazards in sustainable development. The objective of this study is to identify causes and amplifying factors of landslide and its hazard zoning using statistical and experimental models. Therefore, factors responsible for landslide occurrence, lithology, slope, aspect, soil type, land use, the distance of the fault, drainage, and roads have been analyzed in ArcGIS software. The results of the correlation between variables with the landslide frequency showed that slope, drainage and lithology are the effective parameters of the landslide, respectively. Furthermore, the distance road has introduced as a new amplification factor in the landslide occurrence. Comparing the matching rate of two variables information value and multivariate of regression models and their evaluation by CTA techniques, showed that the information value model in the very low, low, moderate, high and very high class of risk has allocated 30.06, 0.26, 19.11, 17.43 and 33.12% of the total area, respectively, and the allocated values of the multivariate regression model are 9.25, 12.54, 13.54, 53.06, and 11.57%. Manuscript profile
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  2 - Landslide hazard zoning using frequency ratio, entropy methods and TOPSIS decision-making methods (Case study: Fahliyan basin, Fars)
  SEYED VAHID RAZAVI TERMEH Kourosh Shirani
  Distinguishing the susceptible areas to landslide using appropriate experimental models of landslide susceptibility mapping is one of the primitive and basic works to reduce probable damages and reduce risk in country's watersheds. In this research, thirteen factors, in More

  Distinguishing the susceptible areas to landslide using appropriate experimental models of landslide susceptibility mapping is one of the primitive and basic works to reduce probable damages and reduce risk in country's watersheds. In this research, thirteen factors, including altitude, slope, aspect, rainfall, plan curvature, profile curvature, Topographic Wetness Index (TWI), Stream power index (SPI), distance from the river, distance from road, distance from the fault, lithology, and land use are identified as effective parameters in landslide occurrence in the studied area. The landslide landslide distribution map was prepared using Landsat 2017 satellite imagery and Field studies (2017). Then, the landslide susceptibility mapping was performed with three methods, including frequency ratio, entropy and TOPSIS. The results were evaluated using receiver operating characteristic (ROC) curve. The area under the curve (AUC) of applied models shows the accuracy of 84, 87.7, and 91 percent for entropy frequency ratio and TOPSIS models, respectively. The results are indicative statistical models have a better accuracy in comparison with MCDM models and expert approaches. The results of the present study could be useful for better managing the flood affected areas and to reduce its damage. Manuscript profile