Abstract
Recently, the scale of localized torrential rains, extreme rainfall, and typhoons has become large due to the climate change which is caused by global warming, and the riskiness of debris flow disaster is increasing by urbanization and industrialization as well. In the case of a domestic situation, it is vulnerable to debris disaster due to high population density of the urban and the debris adaption technique which is suitable to domestic situation needs. In this study, we suggest the methodology to quantify for the effectiveness analysis of debris disaster mitigation facilities. Debris flow disaster vulnerability can be classified as physical aspects and human aspects.
Flow depth, flow rate and impact pressure of the debris disaster are used to evaluate the physical vulnerability and physical vulnerability were estimated by summing factors in the grid vulnerability. Human vulnerability assessment is quantified by comparing critical depth of age and gender in grid with occurred mud depth. The suggested methodology can quantify the installation effect of debris flow disaster mitigation facilities, and be used to combination of debris disaster mitigation facilities and its capacity decisions.
Flow depth, flow rate and impact pressure of the debris disaster are used to evaluate the physical vulnerability and physical vulnerability were estimated by summing factors in the grid vulnerability. Human vulnerability assessment is quantified by comparing critical depth of age and gender in grid with occurred mud depth. The suggested methodology can quantify the installation effect of debris flow disaster mitigation facilities, and be used to combination of debris disaster mitigation facilities and its capacity decisions.
Translated title of the contribution | Methodological Approaches to the Vulnerability Assessment for the Effect Quantification of Debris Flow Disaster Mitigation Facilities |
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Original language | Korean |
Pages (from-to) | 35-367 |
Number of pages | 9 |
Journal | 한국방재학회논문집 |
Volume | 16 |
Issue number | 3 |
DOIs | |
State | Published - Jun 2016 |