Landslide is one of the destructive erosion events in slopes that causes financial losses on the roads. Identification of factors affecting landslide occurrence and hazard zonation mapping is considered as one of the basic tools to manage and reduce possible damage. In this research, we tried to zonate the landslide hazard at proposed Torghabeh- Darrod road by using Bayesian method, so that we can prevent many human and financial risks. Therefore, by collecting the required information on the landslides distribution in the area, the maps of landslide distribution, along with13 data layers including: slope gradient, aspect, curvature, elevation, landuse, geology, distance from road, distance from drainage, distance from fault, soil and rainfall zones was produced in the GIS environment. By using Bayesian probability theory, the relationships between each factors and landslide points were determined and subsequently the classes weights of each factors were obtained. Finally, landslide hazard zonation maps was prepared by Bayesian theory for the study area, in such a way that all effective factors were used and each factor was deleted. Finally the accuracy and precision of the maps were calculated using the ROC carve and 30% of landslide points. Data show that the precision of prepared probabilistic model by the Eleventh approach modeling (the distance from the fault was removed) was determined about 86.5% (very good) in study area. Using the provided map, we can identify unstable areas, and rely on them in the implementation of development planning particularly road construction.

Seeking new sources of groundwater as a source of drinking water in the world due to increasing demand for this vital world is necessary and inevitable.In recent years due to excessive interpretations of these resources the plains are dropping in a way that the depletion of aquifer is more than feeding it. And it causes a negative balance and positive feedback and finally leads to collapse of system. Factors such as population growth, the need for food, the need to improve health and social welfare, industrial development and the protection of ecosystems is increasing water demands every day. That's why the choosing an appropriate and effective, yet professional approach, in order to solve problems faced by water resource management, is necessary. Identify underground water  resources, identify areas with high potential and improving the removal of these resources are the most important goals. The study area is the catchment area of NURABAD MAMSANI of about 756 square kilometers is located in Fars Province in the northwestern part. In this study, the Shannon entropy were studied using 9 raster layer of the area to locate potential sources of underground water basin. And the results of the study showed that the lowest sensitive areas located in the Central Plains that it will take approximately 64% of the areas. And more sensitivity is related to the southern plain which is equal to 2% that is covered 16 kilometers of the area. Results of Shannon entropy model using (ROC) curve showed that the amount of AUC is 85% which is a high and acceptable amount.