Monitoring and Modeling of Landslide in Earthquake Environment

Besides precipitation, a major trigger for landslides is earthquake. Landslides triggered by earthquake always cause significant fatalities and economic loss. Therefore it is needed to improve basic understanding of the technical, financial and social risks posed by earthquakes triggered landslides. Furthermore basic understanding of processes and cascading hazards related to earthquake triggered landslides must be enhanced. Recent research in the area of real-time monitoring of landslides development focus on the application of micro sensors (MEMS) in ad hoc wireless sensor networks operated in an interoperable spatial data infrastructure (SDI) according to the sensor web enablement (SWE) guidelines of the OGC (Open Geospatial Consortium), like the SLEWS-Sensor based Landslide Early Warning System. Apart from motion detection, the SLEWS sensor nodes also provide a 3D acceleration data to evaluate direction and value of the peak acceleration. This information can be used in an event case both to monitor endangered slopes or critical infrastructures and to initiate warnings of rail or road blocks. Furthermore the data from the sensor network can be provided in real-time for shake or alert maps via standardized interfaces. In this paper, through comparison of numerical solutions and real-time data, the mechanical parameters can be inferred by inversion method, which are in turn to determine the safety factor or the reliability degree of slopes needed in DIN 1054.