분포형 홍수유출 모델링을 통한 레이더 강우자료의 효과분석
Discussion for the Effectiveness of Radar Data through Distributed Storm Runoff Modeling
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초록
This study is to evaluate the use of dual-polarization radar data for storm runoff modeling in Namgang dam (2,293 km2) watershedusing KIMSTORM (Grid-based KIneMatic wave STOrm Runoff Model). The Bisl dual-polarization radar data for 3 typhoons (Khanun,Bolaven, Sanba) and 1 heavy rain event in 2012 were obtained from Han River Flood Control Office. Even the radar data wereoverall less than the ground data in areal average, the spatio-temporal pattern between the two data was good showing the coefficientof determination (R2) and bias with 0.97 and 0.84 respectively. For the case of heavy rain, the radar data caught the rain passingthrough the ground stations. The KIMSTORM was set to 500×500 m resolution and a total of 21,372 cells (156 rows×137 columns)for the watershed. Using 28 ground rainfall data, the model was calibrated using discharge data at 5 stations with R2, Nash andSutcliffe Model Efficiency (ME) and Volume Conservation Index (VCI) with 0.85, 0.78 and 1.09 respectively. The calibration resultsby radar rainfall showed R2, ME and VCI were 0.85, 0.79, and 1.04 respectively. The VCI by radar data was enhanced by 5 %.
Abstract
This study is to evaluate the use of dual-polarization radar data for storm runoff modeling in Namgang dam (2,293 km2) watershedusing KIMSTORM (Grid-based KIneMatic wave STOrm Runoff Model). The Bisl dual-polarization radar data for 3 typhoons (Khanun,Bolaven, Sanba) and 1 heavy rain event in 2012 were obtained from Han River Flood Control Office. Even the radar data wereoverall less than the ground data in areal average, the spatio-temporal pattern between the two data was good showing the coefficientof determination (R2) and bias with 0.97 and 0.84 respectively. For the case of heavy rain, the radar data caught the rain passingthrough the ground stations. The KIMSTORM was set to 500×500 m resolution and a total of 21,372 cells (156 rows×137 columns)for the watershed. Using 28 ground rainfall data, the model was calibrated using discharge data at 5 stations with R2, Nash andSutcliffe Model Efficiency (ME) and Volume Conservation Index (VCI) with 0.85, 0.78 and 1.09 respectively. The calibration resultsby radar rainfall showed R2, ME and VCI were 0.85, 0.79, and 1.04 respectively. The VCI by radar data was enhanced by 5 %.
참고문헌 (22)
- 배영혜, "The Study on Flood Runoff Simulation using Runoff Model with Gauge-adjusted Radar data", 한국습지학회지, 12(1), pp.51~61 (2010), 한국습지학회
- Bedient, P. B., "NEXRAD radar for flood prediction in Houston", Jounal of Hydrologic Engineering, ASCE, 5(3), pp.269~277 (2000)
- 최규현, "레이더 정량강우와 연계한 홍수유출 및 범람해석 시스템 확립Ⅱ. Cokriging을 이용한 2차원 정량강우 산정", 한국수자원학회 논문집, 39(4), pp.335~346 (2006), 한국수자원학회
- "AGREE-DEM Surface Reconditioning System" (1997)[URL]
- Hunter S., "A test of two distributed hydrologic models with WSR-88D radar precipitation data input in Arizona", 31st Intl. Conf. on Radar Meteorology (2003)
- 전병국, "이중편파 레이더의 강우관측 능력 평가", 한국방재학회논문집, 12(2), pp.215~224 (2012), 한국방재학회[DOI]
- Jinkang D, "Development and testing of a simple physically-based distributed rainfall-runoff model for storm runoff simulation in humid forested basins", Journal of Hydrology, 336, pp.334~346 (2007)
- Johnson, D., "Comparing mean areal precipitation estimates from NEXRAD and rain gauge networks", Jounal of Hydrologic Engineering, ASCE, pp.117~124 (1999)
- 정인균, "효과적인 유역 및 하도망 추출을 위한 DEM전처리 방법의 비교", 대한토목학회 논문집D, 23(3D), pp.393~400 (2003), 대한토목학회
- 정인균, "격자기반 운동파 강우유출모형 KIMSTORM의 개선(II) - 적용 및 분석 -", 대한토목학회 논문집B, 28(6), pp.709~721 (2008), 대한토목학회
- 정인균, "SRTM DEM을 이용한 격자기반 강우-유출모의", 한국지리정보학회지, 13(4), pp.157~169 (2010), 한국지리정보학회
- 정인균, "격자기반 운동파 강우유출모형 KIMSTORM의 개선(I) - 이론 및 모형 -", 대한토목학회 논문집B, 28(6), pp.697~707 (2008), 대한토목학회
- 김연수, "레이더 자료의 해상도를 고려한 분포형 강우-유출 모형의 GIS 자료 최적 격자의 결정", 한국습지학회지, 13(1), pp.105~116 (2011), 한국습지학회
- 김병식, "레이더 강우와 분포형 수문모형을 이용한 미계측 유역의 홍수 유출모의; 임진강 유역", 한국지리정보학회지, 11(3), pp.52~67 (2008), 한국지리정보학회
- Kim, S, J., "Grid-Based KlneMatic Wave STOrmRunoff Model (KIMSTORM)(I) - theory and model -", Journal of the Korea Water Resources Association, 31(3), pp.303~308 (1998)
- 김수전, "신경망에 의한 레이더강우 보정 및 유출해석", 대한토목학회 논문집B, 30(2), pp.159~167 (2010), 대한토목학회
- 김원일, "레이더 강우자료에 의한 홍수 예보 시스템 연구", 한국수자원학회 논문집, 41(11), pp.1153~1162 (2008), 한국수자원학회
- 노희성, "통계적 객관 분석법에 의한 레이더강우 보정 및 Vflo를 이용한 홍수모의", 한국습지학회지, 14(2), pp.243~254 (2012), 한국습지학회
- 박진혁, "레이더강우를 이용한 GIS기반의 분포형모형 적용성 분석", 한국지형공간정보학회지, 16(1), pp.23~32 (2008), 한국지형공간정보학회
- Smith, J. A., "Radar rainfall estimation for flash flood forecasting in small urban watersheds", Advances in Water Resources, 30, pp.2087~2097 (2007)
- Sun, S., "Flood Estimation using radar and raingage data", Journal of Hydrology, 239, pp.4~18 (2000)
- Winchell, M., "On the simulation of infiltration and saturation excess runoff using radar based estimations : Effects of algorithm uncertainty and pixel aggregation", Water Resources Research, 34(10), pp.2655~2670 (1998)