![]() |
A Study on the Method of Calculating the Threshold Rainfall for Rainfall Impact Forecasting
Suk Ho Lee, Dong Ho Kang, Byung Sik Byung Sik
J. Korean Soc. Hazard Mitig. 2018;18(7):93-102. Published online 2018 Dec 31 DOI: https://doi.org/10.9798/KOSHAM.2018.18.7.93
|
Citations to this article as recorded by
Quantifying the impact of nuisance flooding on urban coastal communities under present and future climatic conditions: Norfolk, Virginia as a case study
Jiwoo Jeong, Sergio A. Barbosa, Jonathan L. Goodall
Journal of Hydrology: Regional Studies.2025; 59: 102304. CrossRef A Proposed Method for Calculating the Rainfall Threshold Based on the Multi-Method to Provide Heavy Rain Disaster Impact Information
Dong Ho Kang, Dong Ho Nam, Young Seok Song, Byung Sik Kim
Water.2023; 15(19): 3366. CrossRef Study on Estimation of Typhoon Damage Thresholds in Coastal Region
Taegyun Kim
Journal of the Korean Society of Hazard Mitigation.2023; 23(5): 141. CrossRef Estimation of Threshold Rainfall in Ungauged Areas Using Machine Learning
Kyung-Su Chu, Cheong-Hyeon Oh, Jung-Ryel Choi, Byung-Sik Kim
Water.2022; 14(6): 859. CrossRef A Study on the Method of Calculating Rainfall Thresholds Based on a Multimethod Approach to Provide Heavy Rain Disaster Impact Information
Dong Ho Kang, Byung Sik Kim, Youngseok Song, Tae Hyung Kim
Journal of the Korean Society of Hazard Mitigation.2022; 22(2): 215. CrossRef Impact Assessment of Urban Flood on Traffic Disruption using Rainfall–Depth–Vehicle Speed Relationship
Kyung-Su Choo, Dong-Ho Kang, Byung-Sik Kim
Water.2020; 12(4): 926. CrossRef A Study on the Development of Rainfall Risk Information Considering Local Characteristics
Cheonkyu Choi, Kyungtak Kim
Journal of the Korean Society of Hazard Mitigation.2020; 20(3): 237. CrossRef Developing a Prediction Model (Heavy Rain Damage Occurrence Probability) Based on Machine Learning
Jongsung Kim, Junhyeong Lee, Donghyun Kim, Changhyun Choi, Myungjin Lee, Hung Soo Kim
Journal of the Korean Society of Hazard Mitigation.2019; 19(6): 115. CrossRef
|