Landslide Hazard Susceptibility Mapping Using Geographical Information Systems

LianYunGang is located in the middle part of China's east coastline, northeast of Jiangsu Province, between 34°12'～35°07' N and 118°24'～119°48'E. Lianyungang faces Japan and South Korea across the sea. Along with the speedy development of region economic construction and the constant intensifying of human engineering activities, the balance of the nature with the geological environment has been severely damaged, geological disasters like landslide, collapse and breakdown occur frequently, bringing huge effect on the region planning and region construction, restricting the sustainable development of region economy. However, due to its complex nature, it's very difficult to predict the accurate occurring time of landslide. The current research is to do landslide hazard assessment and get accurate and detailed landslide susceptibility maps. The result maps can be use to guide Region Planning. Landslide hazard assessment, as one of the important contents of geological disaster, is also a fundamental of disaster risk evaluation.This paper tries to generate and evaluate a concise system of objective landslide hazard assessment procedure and conquer the limitation of the qualitative model and the quantitative model. The case study area is LianYunGang suburb Segment and selected as a suitable case to evaluate the frequency and distribution of landslide.The main conclusions on this research:(1) Many methods and theories of landslide hazard assessment based on GIS are discussed. A set of complete technological assessment route and work process based on GIS is established.(2) Landslide and landslide causative factors databases are constructed.(3) Logistic regression, which is a multivariate analysis model, is useful for predicting the presence or absence of a characteristic or outcome based on values of a set of predictor variables. This paper creaete the final hazard map using Logistic regression.(4) This paper identifies extreme risk ,very low risk , lower risk , medium risk and high risk base on the final hazard map.