the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Strategic framework for natural disaster risk mitigation using deep learning and cost-benefit analysis
Ji-Myong Kim
Sang-Guk Yum
Hyunsoung Park
Junseo Bae
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To reduce the consequences of landslides due to rainfall, such as loss of life, economic losses, and disruption to daily living, this study describes the process of building a machine learning model which can help to estimate the volume of landslide material that can occur in a particular region, taking into account antecedent rainfall, soil characteristics, type of vegetation, etc. The findings can be useful for land use management, infrastructure design, and rainfall disaster management.
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