The SESAMO early warning system for rainfall-triggered landslides
نویسندگان
چکیده
منابع مشابه
A Multi-Source Early Warning System of MEMS Based Wireless Monitoring for Rainfall-Induced Landslides
Landslide monitoring and early warning systems are the most successful countermeasures to reduce fatalities and economic losses from landslide hazards. The traditional strategies such as GPS and extensometers are relatively expensive and difficult to be installed in steep, high mountains. In this study, a MEMS (Micro Electro Mechanical Systems) based multivariate wireless monitoring sensor unit...
متن کاملRainfall-triggered landslides, anthropogenic hazards, and mitigation strategies
Rainfall-triggered landslides are part of a natural process of hillslope erosion that can result in catastrophic loss of life and extensive property damage in mountainous, densely populated areas. As global population expansion on or near steep hillslopes continues, the human and economic costs associated with landslides will increase. Landslide hazard mitigation strategies generally involve ha...
متن کاملDistributed modelling of shallow landslides triggered by intense rainfall
Hazard assessment of shallow landslides represents an important aspect of land management in mountainous areas. Among all the methods proposed in the literature, physically based methods are the only ones that explicitly includes the dynamic factors that control landslide triggering (rainfall pattern, land-use). For this reason, they allow forecasting both the temporal and the spatial distribut...
متن کاملWarning System for Landslides through Modified Particle Filtering Algorithm
To prevent the pilgrims or local people before falling of landslides we create an alert system for it by using modified particle filtering algorithm.in this we detect the change in position and velocity in the video image of rocks of mountain using modified particle filtering algorithm by tracking the movement of particles by using its likelihoods.
متن کاملEvaluating the Application of a Financial Early Warning System in the Iranian Banking System
One of the significant problems of banks and investors in Iran is the lack of precise awareness about the financial performance of each bank and the roadmap for improving the conditions. Besides, the undesirable status of the financial performance of banks becomes evident only when the improvement of conditions is complicated. In this paper, a data mining-based early warning system (EWS) model ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Hydroinformatics
سال: 2015
ISSN: 1464-7141,1465-1734
DOI: 10.2166/hydro.2015.060