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http://dx.doi.org/10.12652/Ksce.2020.40.6.0563

Statistical Techniques to Derive Heavy Rain Impact Level Criteria Suitable for Use in Korea  

Lee, Seung Woon (ICUH)
Kim, Byung Sik (Kangwon National University)
Jung, Seung Kwon (ICUH)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.40, no.6, 2020 , pp. 563-569 More about this Journal
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.
Keywords
Heavy rain; Impact level criteria; Impact library; Receptor; Risk matrix;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Box, G. E. P. and Cox, D. R. (1964). "An analysis of transformation." Journal of the Royal Statistical Society B, Vol. 26, No. 2, pp. 211-252.
2 Jung, S. K. (2019). "A study on the development of a heavy rainfall risk impact evaluation matrix." Journal of Korea Water Resources Association, KWRA, Vol. 52, No. 2, pp. 125-132 (in Korean).   DOI
3 Kim, H. M. (2017). "Paradigm shift to impact forecast for weather disaster response." Innovation Studies, Vol. 12, No. 3, pp. 161-178 (in Korean).   DOI
4 Moore, R. J., Cole, S. J., Dunn, S., Ghimire, S., Golding, B. W., Pierce, C. E., Roberts, N. M. and Speight, L. (2015). Surface water flood forecasting for urban communities, CREW report, Centre of expertise for waters in Scotland UK
5 Park, C. Y. (2011). "Simulation comparison of standardization methods for interview scores." Journal of Korean Data & Information Science Society, Vol. 22, No, 2, pp. 189-196 (in Korean).
6 Scottish Environment Protection Agency (SEPA) (2014). Your guide to using the flood guidance statement, Available at: https://www.sepa.org.uk/media/149570/sffs_fgs_user_guide_2015.pdf, p. 3, (Accessed: February 6, 2020).
7 Yeh, S. W. (2017). "Suggestions for expanding impact forecasting services." Meteorological Technology & Policy, Vol. 10, No. 1, pp. 6-17 (in Korean).
8 World Meteorological Organization (WMO) (2015). Multi-hazard impact-based forecast and warning services, WMO Guidelines, No.1150, pp.1-6.