Spatiotemporal Variability of Regional Rainfall Frequencies in South Korea for Different Periods

Moonyoung Lee, Heejin An, Jiwan Lee, Myoung-Jin Um, Younghun Jung, Kewtae Kim, Kichul Jung, Seongjoon Kim and Daeryong Park ()
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Moonyoung Lee: Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Republic of Korea
Heejin An: Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Republic of Korea
Jiwan Lee: Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Republic of Korea
Myoung-Jin Um: Department of Civil & Energy System Engineering, Kyonggi University, Suwon 16227, Republic of Korea
Younghun Jung: Korea Disaster Prevention Association, Seoul 05402, Republic of Korea
Kewtae Kim: ISAN Corporation, Anyang 14066, Republic of Korea
Kichul Jung: Division for Integrated Water Management, Korea Environment Institute, Sejong 30147, Republic of Korea
Seongjoon Kim: Department of Civil and Environmental Engineering, Konkuk University, Seoul 05029, Republic of Korea
Daeryong Park: Department of Civil and Environmental Engineering, Konkuk University, Seoul 05029, Republic of Korea

Sustainability, 2023, vol. 15, issue 24, 1-19

Abstract: Understanding regional as well as temporal variations in probability rainfall is essential for addressing climate change-related hydrological issues. Few studies have conducted spatial analyses on probability rainfall using up-to-date rainfall data, which is crucial to comprehend regional rainfall variations for effective flood management and hydraulic structure design. In this study, we analyzed the spatiotemporal variations of probability rainfall factors in South Korea using 61 rainfall stations and four rainfall periods (years) (recent-10, 2011–2020; recent-20, 2001–2020; recent-30, 1991–2020; recent-40, 1981–2020). We mapped probability rainfall information, including probability rainfall intensities (20, 30, and 40 mm/h), return periods (10, 20, 50, and 100 years), rainfall durations (1, 2, 6, and 24 h), and rainfall depth. Results revealed wide variations in the northern and southwest inland regions based on rainfall periods. Decadal annual rainfall analysis revealed that the north and southwest inland regions indicated lower recent decadal rainfall than that in previous decades, while decadal annual rainfall in the southeast inland region remained constant. The generated spatial and temporal distribution maps offer valuable insights for comprehending the variation in probability rainfall factors across different time periods in South Korea, with practical implications for the planning and design of hydraulic structures.

Keywords: annual rainfall trend; correlation; probability rainfall factors; rainfall frequency analysis; spatiotemporal variations; South Korea (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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