Authors: Rahman Sharifi
Affiliations: Soil Conservation and Watershed Management Research Department, Tehran Agricultural and Natural Resources Research and Education Center, AREEO, Varamin, Iran
Emails: r.sharifi@areeo.ac.ir
Journal: International Journal of Fundamental Physical Sciences (IJFPS)
Volume: 7, Issue: 1, Pages: 5-8, Date: March, 2017
ISSN: 2231-8186
DOI: https://doi.org/10.14331/ijfps.2017.330101
Landslide hazard zonation was performed using fuzzy logic on input layers including geology, slope, and aspect maps. Priority classes were derived based on existing landslides in the study region (Karaj Watershed). The area was divided into 864 units, of which 624 were valid for analysis. Units were classified into five sensitivity categories (very low to very high) based on a calculated value y derived from the distribution of landslide-prone areas. Results indicate that over 50% of the study area is susceptible to medium to very high landslide hazards, validating the fuzzy logic approach for zonation.
Mathematical, Geology, Fuzzy Logic, Zonation, Landslide, Watershed, Tehran province