The early warning systems about landslide hazards in Ukraine

Robust Lessons about Practical Early Warning Systems

Early warning systems (EWSs) are subject to restrictions that apply to exchange rates in general: fundamentals matter but their influence is small and unstable. Despite this limitation four major lessons emerge: First, EWSs have robust forecasting power and thus help policy-makers to prevent crises. Second, policy-makers must decide about some EWSs' elements, such as the sensitivity of the fore...

Classification of Landslide Susceptibility in the Development of Early Warning Systems

Statistical classification techniques complemented by GIS yield good results in predicting landslide hazard/ susceptibility. In this work, several well-known classification methods are applied to data from distinct alpine areas in Vorarlberg, Austria. It is shown that kernel methods (Support Vector Machines – SVM – and Gaussian Processes) outperform classic techniques for this task. As a furthe...

An early warning on early warning systems!

Web3DGIS-Based System for Reservoir Landslide Monitoring and Early Warning

Landslides are the most frequent type of natural disaster, and they bring about large-scale damage and are a threat to human lives and infrastructure; therefore, the ability to conduct real-time monitoring and early warning is important. In this study, a Web3DGIS (Web3D geographic information systems) system for monitoring and forecasting landslides was developed using the Danjiangkou Reservoir...

An Early Warning System for Regional Rain-Induced Landslide Hazard

Landslide in alpine regions often causes heavy losses of both human lives and properties, most of the landslides are induced by heavy rainfall. In this paper, we put forward an early warning system of rain-induced landslide. From 2002, we carried on the demonstrative work of landslide monitoring and early warning in Yaan, Sichuan Province, China, and constructed the first county-scale landslide...