the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimation of the non-exceedance probability of extreme storm surges in South Korea using tidal-gauge data
Sang-Guk Yum
Hsi-Hsien Wei
Sung-Hwan Jang
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To reduce the consequences of landslides due to rainfall, such as of life and economic losses, and disruption of order of our daily living; this study describes the process of building a machine learning model which can help to estimate the volume of landslides material that can occur in a particular region taking into account of antecedent rainfall, soil characteristics, type of vegetation etc. The findings can be useful for land use, infrastructure design and rainfall disaster management.
To reduce the consequences of landslides due to rainfall, such as of life and economic losses, and disruption of order of our daily living; this study describes the process of building a machine learning model which can help to estimate the volume of landslides material that can occur in a particular region taking into account of antecedent rainfall, soil characteristics, type of vegetation etc. The findings can be useful for land use, infrastructure design and rainfall disaster management.
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hotspotregions that experience these events.