Climate Change Adaptation to Extreme Rainfall Events on a Local Scale in Namyangju, South Korea

Author:

Lee Taesam1ORCID,Son Chanyoung2,Kim Mieun3,Lee Sangeun4,Yoon Sunkwon5

Affiliation:

1. Associate Professor, Dept. of Civil Engineering, Engineering Research Institute, Gyeongsang National Univ., 501 Jinju-daero, Jinju, Gyeongnam 660701, South Korea (corresponding author). ORCID: .

2. Senior Researcher, Hangang River Regional Head Office, K-water, 11 Gyoyookwon-ro, Gwacheon-si, Gyeonggi-do 13841, South Korea.

3. Senior Researcher, Water Resources Management Center, K-water, 200 Sintanjin-ro, Daedeok-gu, Deajeon 34350, South Korea.

4. Senior Researcher, Water Resources Research Center, Korea Research Institute for Human Settlements, 5 Gukchaegyeonguwon-ro, Sejong-si 30149, South Korea.

5. Research Fellow, Dept. of Safety and Disaster Prevention Research, Seoul Institute of Technology, Maebongsan-ro, Mapo-gu, Seoul 03909, South Korea.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Reference67 articles.

1. Forecasting pan evaporation with an integrated artificial neural network quantum-behaved particle swarm optimization model: A case study in Talesh, Northern Iran;Ali Ghorbani M.;Eng. Appl. Comput. Fluid Mech.,2018

2. The Flexible Global Ocean-Atmosphere-Land system model, Spectral Version 2: FGOALS-s2

3. Butcher J. B. and Zi T. 2019. “Efficient method for updating IDF curves to future climate projections.” Preprint submitted June 11 2019. https://arxiv.org/ftp/arxiv/papers/1906/1906.04802.pdf.

4. Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes?

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