Estimating Design Floods at Ungauged Watersheds in South Korea Using Machine Learning Models

With recent increases of heavy rainfall during the summer season, South Korea is hit by substantial flood damage every year. To reduce such flood damage and cope with flood disasters, it is necessary to reliably estimate design floods. Despite the ongoing efforts to develop practical design practice...

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Bibliographic Details
Main Authors: Jin-Young Lee, Changhyun Choi, Doosun Kang, Byung Sik Kim, Tae-Woong Kim
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/11/3022