| Title |
Statistical Techniques to Derive Heavy Rain Impact Level Criteria Suitable for Use in Korea |
| Authors |
이승운(Lee, Seung Woon) ; 김병식(Kim, Byung Sik) ; 정승권(Jung, Seung Kwon) |
| DOI |
https://doi.org/10.12652/Ksce.2020.40.6.0563 |
| Keywords |
호우;영향수준기준;영향인자;대상체;위험매트릭스 Heavy rain;Impact level criteria;Impact library;Receptor;Risk matrix |
| Abstract |
Presenting the impact of meteorological disasters departs from the traditional weather forecasting approach for meteorological phenomena. It is important to provide impact forecasts so that precautions against disruption and damage can be taken. Countries such as the United States, the U.K., and France already conduct impact forecasting for heavy rain, heavy snow, and cold weather. This study improves and applies forecasts of the impact of heavy rain among various weather phenomena in accordance with domestic conditions. A total of 33 impact factors for heavy rain were constructed per 1 km grids, and four impact levels (minimal, minor, significant, and severe) were calculated using standard normal distribution. Estimated criteria were used as indicators to estimate heavy rain risk impacts for 6 categories (residential, commercial, utility, community, agriculture, and transport) centered on people, facilities, and traffic. |