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http://dx.doi.org/10.3741/JKWRA.2020.53.3.155

Application of the weather radar-based quantitative precipitation estimations for flood runoff simulation in a dam watershed  

Cho, Yonghyun (Korea-Mekong Water Resources Management Collaboration Research Center, K-water Research Institute)
Woo, Sumin (Integrated Water Resources Management Department, K-water)
Noh, Joonwoo (Integrated Water Resources Research Center, K-water Research Institute)
Lee, Eulrae (Integrated Water Resources Research Center, K-water Research Institute)
Publication Information
Journal of Korea Water Resources Association / v.53, no.3, 2020 , pp. 155-166 More about this Journal
Abstract
In this study, we applied the Radar-AWS Rainrates (RAR), weather radar-based quantitative precipitation estimations (QPEs), to the Yongdam study watershed in order to perform the flood runoff simulation and calculate the inflow of the dam during flood events using hydrologic model. Since the Yongdam study watershed is a representative area of the mountainous terrain in South Korea and has a relatively large number of monitoring stations (water level/flow) and data compared to other dam watershed, an accurate analysis of the time and space variability of radar rainfall in the mountainous dam watershed can be examined in the flood modeling. HEC-HMS, which is a relatively simple model for adopting spatially distributed rainfall, was applied to the hydrological simulations using HEC-GeoHMS and ModClark method with a total of eight independent flood events that occurred during the last five years (2014 to 2018). In addition, two NCL and Python script programs are developed to process the radar-based precipitation data for the use of hydrological modeling. The results demonstrate that the RAR QPEs shows rather underestimate trends in larger values for validation against gauged observations (R2 0.86), but is an adequate input to apply flood runoff simulation efficiently for a dam watershed, showing relatively good model performance (ENS 0.86, R2 0.87, and PBIAS 7.49%) with less requirements for the calibration of transform and routing parameters than the spatially averaged model simulations in HEC-HMS.
Keywords
RAR QPEs; Flood runoff simulation; HEC-HMS; ModClark; Yongdam study watershed;
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1 Cho, Y. (2020). "Application of NEXRAD radar-based quantitative precipitation estimations for hydrologic simulation using ArcPy and HEC software." Water, MDPI, Vol. 12, No. 1, p. 273.   DOI
2 Cho, Y., and Engel, B.A. (2017). "NEXRAD quantitative precipitation estimations for hydrologic simulation using a hybrid hydrologic model." Journal of Hydrometeorology, AMS, Vol. 18, No. 1, pp. 25-47.   DOI
3 Cho, Y., and Engel, B.A. (2018). "Spatially distributed long-term hydrologic simulation using a continuous SCS CN method- based hybrid hydrologic model." Hydrological Processes, Wiley, Vol. 32, No. 7, pp. 904-922.   DOI
4 Cho, Y., Engel, B.A., and Merwade, V.M. (2018). "A spatially distributed Clark's unit hydrograph based hybrid hydrologic model (Distributed-Clark)." Hydrological Sciences Journal, Taylor & Francis, Vol. 63, No. 10, pp. 1519-1539.   DOI
5 Choi, Y.S., Kim, K.T., and Lee, J.H. (2008). "Development of Grid Based Distributed Rainfall-Runoff Model with Finite Volume Method." Journal of Korea Water Resources Association, KWRA, Vol. 41, No. 9, pp. 895-905.   DOI
6 Choi, Y.S., Kim, K.T., and Kim, J.H. (2012). "Development and evaluation of a real time runoff modelling system using weather radar and distributed model." Journal of Wetlands Research, KWS, Vol. 14, No. 3, pp. 385-397.   DOI
7 Clark, C.O. (1945). "Storage and the unit hydrograph." American Society of Civil Engineers, ASCE, Vol. 110, pp. 1419-1446.   DOI
8 Environmental Systems Research Institute (ESRI) (2019). accessed 15 January 2019, .
9 Fleming, M.J., and Doan, J.H. (2013). HEC-GeoHMS Geospatial Hydrologic Modeling Extension. User's Manual Version 10.1, U.S. Army Corps of Engineers Institute for Water Resources Hydrologic Engineering Center (HEC), Davis, C.A., U.S., pp. 1-193.
10 Kim, B.-S., Bae, Y.-H., Park, J.-S., and Kim, K.-T. (2008). "Flood runoff simulation using radar rainfall and distributed hydrologic model in Un-Gauged basin; Imjin river basin." Journal of the Korean Association of Geographic Information Studies, KAGIS, Vol. 11, No. 3, pp. 52-67.
11 Korea Meteorological Administration (KMA) (2014). Improvement of post-processing correction method for radar quantitative precipitation estimations and reproduction of historical data. WRC2014-05, KMA Weather Radar Cneter, pp. 1-69.
12 Kull, D.W., and Feldman, A.D. (1998). "Evolution of Clark's unit graph method to spatially distributed runoff." Journal of Hydrologic Engineering, ASCE, Vol. 3, No. 1, pp. 9-19.   DOI
13 Lee, J.-K., Kim, J.-H., Park, H.-S., and Suk, M.-K. (2014a). "Development of radar-based multi-sensor quantitative precipitation estimation technique." Atmosphere, KMS, Vol. 24, No. 3, pp. 433-444.   DOI
14 Lee, J.-K., Kim, J.-H., Park, J.-S., and Kim, K.-H. (2014b). "Application of radar rainfall estimates using the local gauge correction method to hydrolgic model." Journal of the Korean Society of Hazard Mitigation, KOSHAM, Vol. 14, No. 4, pp. 67-78.   DOI
15 Lee, J.-K., Lee, M.-H., Suk, M.-K., and Park, H.-S. (2014c). "Application of the radar rainfall estimates using the hybrid scan reflectivity technique to the hydrolgic model." Journal of Korea Water Resources Association, KWRA, Vol. 47, No. 10, pp. 867-878.   DOI
16 NCAR Command Language (NCL) (2019). accessed 15 January 2019, .
17 Scharffenberg, B., Bartles, M., Braurer, T., Fleming, M., and Karlovits, G. (2018). Hydrologic Modeling System HEC-HMS. User's Manual Version 4.3, U.S. Army Corps of Engineers Institute for Water Resources Hydrologic Engineering Center (CEIWR-HEC), Davis, C.A., U.S., pp. 1-624.
18 Park, J.-H., Kang, B.-S., Lee, G.-S., and Lee, E.-R. (2007). "Flood runoff analysis using radar rainfall and Vflo model for Namgang Dam watershed." Journal of the Korean Association of Geographic Information Studies, KAGIS, Vol. 10, No. 3, pp. 13-21.
19 Park, J.H., Kang, B.S., and Lee, G.S. (2008). "Application analysis of GIS based distributed model using radar rainfall." Journal of the Korean Society for Geospatial Information Science, KSGIS, Vol. 16, No. 1, pp. 23-32.
20 Peters, J.C., and Easton, D.J. (1996). "Runoff simulation using radar rainfall data." Water Resources Bulletin, ASCE, Vol. 32, No. 4, pp. 753-760.   DOI
21 Vieux, B.E., and Vieux, J.E. (2002). "Vflow: a real-time distributed hydrologic model." Proceedings of the Second Federal Interagency Hydrologic model for flood forecasting, IACWD, Las Vegas, N.V., U.S., p. 244.
22 Zhange, J., Howard, K., Langston, C., Vasiloff, S., Kaney, B., Arthur, A., Cooten, S. V., Kelleher, K., Kitzmller, D., Ding, F., Seo, D.-J., and Dempsey, C. (2011). "National mosiaic and multi-sensor QPE (NMQ) system." Bulletin of the American Meteorological Society, AMS, Vol. 92, pp. 1321-1338.   DOI