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The finding supports the use of empirical rainfall thresholds for landslide forecasting in Italy, but poses an empirical limitation to the possibility of defining thresholds for small geographical areas.
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A new method of landslide forecast was put forward and it was verified in the field.
The results obtained are directly applicable to landslide forecasting based on empirical rainfall thresholds, and have implications for landslide hazard and risk assessment, as well as for landslide erosion and landscape evolution studies, both in the study area and in the neighboring regions.
In Rio de Janeiro, IBM has worked with local authorities to create a new automated alert system that will notify city officials and emergency personnel when changes occur in the flood and landslide forecast for the city.
It is hoped new technology will allow the British Geological Survey team to link geology and weather to produce a daily landslide forecast and prevent similar accidents.
The present study discusses the use of integrated variables along with a combination of multi-method forecasts for landslide susceptibility mapping.
The forecast product are not only related to the meteorological field, but also includes both floods and landslides forecasts produced by excessive rainfall.
Assessment of landslide hazard is a crucial step for landslide mitigation planning.
Construction of scaled-down landslide models is an important means for landslide study.
Understanding the mechanism of landslides in loess-covered regions is particularly important for landslide risk assessment.
Uncertainties associated with GIS-Multicriteria for landslide susceptibility mapping are systematically explored.
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