干旱区生态环境知识资源中心

This study has used 3S technology to interpret landslide disasters in Xinyuan County in Xinjiang, which is in the arid region of northwest China. Field verifications were performed to explore the spatial distribution of landslide hazards. Data-driven theory, a weighted evidence-based model for landslide environmental impact evaluation, susceptibility zoning, and hazard zoning were investigated. An online landslide monitoring system with perception, network, and application layers using Internet of Things technology and based on rain gauges, GPS devices, crack meters, inclinometers, and other sensors will gather information transmitted through the network layer to the application layer of the landslide monitoring system, which will process high-accuracy deformation information and perform early warning analysis. The results showed that 514 landslide hazard points were identified in the study area. Elevation, slope, aspect, lithology, geological faults, and water were shown to be the main environmental factors influencing landslides. In the study area, those areas that were highly susceptible to landslides occupied an area of 674 km(2), moderately susceptible areas 1820 km(2), less susceptible areas 3479 km(2), and non-susceptible areas 1616 km(2). The landslide high-risk area covered 742.51km(2), the moderate-risk area 1816.21km(2), and the low-risk area 5030.46 km(2). A landslide monitoring system that periodically monitors landslide points can be used to obtain accurate information on changes in landslide risk for warning and analysis.