JWSS - Journal of Water and Soil Science

This research was conducted to prepare landslide susceptibility zonation (LSZ) map for the Dez-e-Ouliabasin using logistic regression model. For this purpose, at first, the most important factors affecting land sliding including slope, aspect, elevation, precipitation, the distance from road, the distance from fault, the distance from drainage, land use, and lithology were determined. Then, thelandslide inventory mapwas preparedby using field digital checks, GPS and satellite images. In the next step, the landslide susceptibility zonation mapwas preparedby usinglogistic regression method. According to the obtained coefficients for LSZ maps, the most important factor in the study area was elevation layer. The Receiver Operating Curve (ROC) index value was calculated (0.92), which indicates a very high level and suggests thatthe observed mass movements have a strong relationship with the logistic regression model.

Recent urban development and population growth in Shahrood tend to adopt a strategy for ground water management. This project, which is a descriptive- analytic type study based on field observation and laboratory analysis, aims to delineate proper sites for groundwater artificial recharge using integrated AHP-TOPSIS.  First, the study area was delineated using remote sensing techniques. Then, appropriate criteria including 5 main criteria and 12 sub-criteria were obtained by field observation and literature review. Then, the appropriate sites for groundwater recharge were determined. The process of the used method consists of designing hierarchical structure of the project, preparation of pairwise comparison matrices, weighting criteria and sub criteria values by experts, and ultimately ranking them by TOPSIS method. Results showed that lithology, slope, water table depth, and land use have the main role in sites delineation. A number of control sites were employed for model validation that indicates 87.20 percent accuracy. Overally, 73.6 and 82.12 percent of the total area were grouped as very suitable and suitable classes, respectively.