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2025 Vol.67, Issue 2 Preview Page
Rainfall-Runoff Simulation for Agricultural Reservoir Watersheds Using the Grid-Based Distributed Hydrological Model, Cell2Flood

격자기반 분포형 수문모형 Cell2Flood를 활용한 농업용 저수지 유역의 강우-유출 모의

Ye-Jun Leea
,
Won-Ho Namb†
,
Dong-Hyun Yoonc
,
Min-Won Jangd
,
Jin-Taek Kime
,
Han-Joong Kimf
,
Sung-Gu Hongg
,
Dae-Sik Kimh
이 예준a
,
남 원호b†
,
윤 동현c
,
장 민원d
,
김 진택e
,
김 한중f
,
홍 성구g
,
김 대식h
aGraduate Student, School of Social Safety and Systems Engineering, Hankyong National University, Anseong, Republic of Korea
bAssociate Professor, School of Social Safety and Systems Engineering, Institute of Agricultural Environmental Science, National Agricultural Water Research Center, Hankyong National University, Anseong, Republic of Korea
cPh.D. Student, Department of Integrated Systems Engineering, Hankyong National University, Anseong, Republic of Korea
dProfessor, Department of Agricultural Engineering, Institute of Agriculture and Life Science, Gyeongsang National University, Jinju, Republic of Korea
eSenior Researcher, National Agricultural Water Research Center, Hankyong National University, Anseong, Republic of Korea
fProfessor, School of Social Safety and Systems Engineering, Hankyong National University, Anseong, Republic of Korea
gProfessor, School of Social Safety and Systems Engineering, Hankyong National University, Anseong, Republic of Korea
hProfessor, Department of Agricultural Engineering, College of Agriculture and Life Sciences, Chungnam National University, Daejeon, Republic of Korea
†Corresponding author Tel.: +82-31-670-5137 E-mail: wonho.nam@hknu.ac.kr
2025. pp. 33-43
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Abstract

Recent climate change has increased the frequency and severity of flooding events, including super typhoons, localized heavy rainstorms, and torrential downpours. According to the Disaster Yearbook published by the Ministry of the Interior and Safety (MOIS), flood-related disasters, including heavy rain and typhoons, have accounted for 90% of total natural disaster damages over the past decade. The continuous and systematic collection of meteorological data (e.g., rainfall, water level, and flow rate) is crucial for hydrological analysis and forecasting to predict and prepare for floods. Flood control centers have established measurement systems to facilitate forecasting. These centers monitor hydrological data every 10 minutes at rainfall and water level observation stations and calculate runoff from rainfall to predict flood potential. Additionally, flood forecasts are issued when river water levels are anticipated to exceed flood warning or alert thresholds. However, compared to the flood forecasting systems currently in operation, predictive capabilities for runoff and flood volume in agricultural reservoirs are lacking. Improved flood forecasting for agricultural reservoirs and catchments is needed, utilizing meteorological forecasts and low water level measurement data. This study aims to apply a grid-based, distributed short-term hydrological model using weather forecast data, field-measured water level data, land cover data, Digital Elevation Model (DEM) data, and soil data. We will calibrate and validate a spatiotemporal rainfall-runoff analysis model for agricultural reservoirs.

Keywords
Cell2Flood
agricultural reservoir
rainfall-runoff
distributed hydrological model
water balance model
References

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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 :2
  • Pages :33-43
  • Received Date : 2024-09-03
  • Revised Date : 2025-01-07
  • Accepted Date : 2025-01-23
  • DOI :https://doi.org/10.5389/KSAE.2025.67.2.033
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