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2025 Vol.67, Issue 3 Preview Page
Analysis of Rainfall Erosivity Factors Considering Spatio-temporal Variability and Temporal Resolutions

시공간과 시간해상도에 따른 강우침식인자 분석

Seoju Oha
,
Sinae Kimb
,
Jihye Kwakb
,
Seongjae Parka
,
Jaeyoung Ana
,
Jihye Kimc
,
Moon Seong Kangd†
오 서주a
,
김 시내b
,
곽 지혜b
,
박 성재a
,
안 재영a
,
김 지혜c
,
강 문성d†
aMS Student, Department of Rural Systems Engineering, Seoul National University
bPh.D. Student, Department of Rural Systems Engineering, Seoul National University
cResearcher, Research Institute of Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University
dProfessor, Department of Rural Systems Engineering, Research Institute of Agriculture and Life sciences, Institute of Green Bio Science and Technology, Seoul National University
†Corresponding author Tel.: +82-2-880-4582, Fax: +82-2-873-2087 E-mail: mskang@snu.ac.kr
2025. pp. 29-44
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Abstract

Soil erosion causes farmland degradation and water pollution in nearby rivers. The intensification of soil erosion is linked to increasing rainfall intensity and the frequency of extreme precipitation events, highlighting the need to analyze the impacts of climate change on soil erosion. This study calculated the rainfall erosivity factor (R factor) at the Universal Soil Loss Equation (USLE), using 1-hour rainfall data from 1973 to 2023 at 60 sites. Mann-Kendall test and Sen’s slope were used to assess its spatio-temporal variation. Furthermore, the influence of temporal resolution on the R factor was examined by comparing R factors derived from 1-minute and 1-hour rainfall data over the past 24 years. The study revealed a significant increase in R factors at 20 sites. The highest increasing tendency of R factors were observed in the southern coastal regions and Jeju Island, identified as the most vulnerable to the effects of climate change. Conversely, most inland areas showed no trend of increasing R factors, except the northern regions of the Sobaek Mountains. Additionally, R factors calculated using 1-minute rainfall data were approximately 272 MJ⋅mm/ha/hr/yr higher than those derived from 1-hour rainfall data. This discrepancy highlights the limitations of estimating the maximum 30-minute rainfall intensity (I30) using 1-hour rainfall data. To complement temporal resolution, new I30 conversion factors has been proposed. The findings underscore the necessity of periodic recalibration of R factors to account for the impacts of climate change and emphasize the importance of high-resolution temporal rainfall data for accurate R factor estimation.

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Information
  • Publisher :The Korean Society of Agricultural Engineers
  • Publisher(Ko) :한국농공학회
  • Journal Title :Journal of Korean Society of Agricultural Engineers
  • Journal Title(Ko) :한국농공학회논문집
  • Volume : 67
  • No :3
  • Pages :29-44
  • Received Date : 2024-12-04
  • Revised Date : 2024-12-31
  • Accepted Date : 2025-01-19
  • DOI :https://doi.org/10.5389/KSAE.2025.67.3.029
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