Prediction of Landslide Hazard in Sikan River Basin Using Logistic Regression Model | ||
| نشریه علمی - پژوهشی مرتع و آبخیزداری | ||
| Article 2, Volume 67, Issue 1, May 2014, Pages 17-29 PDF (1.7 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.22059/jrwm.2014.50825 | ||
| Authors | ||
| Mohammad Reza Sarvati* 1; Kazem Nosrati2; Shima Hassanvandi3; Babak Mirbagheri4 | ||
| 1Professor, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran | ||
| 2Assistant Professor, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran | ||
| 3M.Sc. Student, Geomorphology in Environmental Planning, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran | ||
| 4Lecturer of RS & GIS Center, Shahid Beheshti University, Tehran, Iran | ||
| Abstract | ||
| Landslides and slope instabilities are major hazards for human activities often causing economic losses and property damages. Sikan River Basin (Ilam province) due to the topography, tectonic, lithology, and climate has enough potential for occurrence of this phenomenon. The objectives of this study were to determine effective parameters controlling the landslide occurrence and to prepare zonation map of landslide risk in Sykan River Basin. In view of this, 11 geophysical characteristics including (height, slop, slop direction), geomorphologic (the slop of land surface), geology (lithology, the distance from the fault), hydrography (the distance from the river), coverage, land use (land use and the distance from road, the distance from village), pedology (soil texture), and dependent variable (landslide distribution) were selected an independent variable and were analyzed using logistic regression model. The results showed that the influential factors on landslides occurrence in the basin are the distance from river, land use, the distance from village, the materials (lithology), slope, and the shape of land surface. Finally, the study area was classified into five major area based on landslide occurrence risk which 19.1 km2 of total area had very low risk, 15.9 km2 had low risk, 14.9 km2 had average risk and 14.6 km2 had high risk and 9.1 km2 had also very high risk. The model evaluation showed a high accuracy 74.2% in the study area. The results of this study can be useful for landslide risk management and for controlling the accelerated parameters. | ||
| Keywords | ||
| Darrehshahr City; Landslides; Logistic regression; risk zonation; Sikan River Basin | ||
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