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http://dx.doi.org/10.3741/JKWRA.2015.48.5.409

Application of Very Short-Term Rainfall Forecasting to Urban Water Simulation using TREC Method  

Kim, Jong Pil (Water Resources and Environment Research Department, Korea Institute of Civil Engineering and Building Technology)
Yoon, Sun Kwon (Climate Research Department, APEC Climate Center)
Kim, Gwangseob (School of Architectural, Civil, Environment, and Energy Engineering, Kyungpook National University)
Moon, Young Il (Department of Civil Engineering, The University of Seoul, Urban Flood Research Institute)
Publication Information
Journal of Korea Water Resources Association / v.48, no.5, 2015 , pp. 409-423 More about this Journal
Abstract
In this study the very short-term rainfall forecasting and storm water forecasting using the weather radar data were implemented in an urban stream basin. As forecasting time increasing, the very short-term rainfall forecasting results show that the correlation coefficient was decreased and the root mean square error was increased and then the forecasting model accuracy was decreased. However, as a result of the correlation coefficient up to 60-minute forecasting time is maintained 0.5 or higher was obtained. As a result of storm water forecasting in an urban area, the reduction in peak flow and outflow volume with increasing forecasting time occurs, the peak time was analyzed that relatively matched. In the application of storm water forecasting by radar rainfall forecast, the errors has occurred that we determined some of the external factors. In the future, we believed to be necessary to perform that the continuous algorithm improvement such as simulation of rapid generation and disappearance phenomenon by precipitation echo, the improvement of extreme rainfall forecasting in urban areas, and the rainfall-runoff model parameter optimizations. The results of this study, not only urban stream basin, but also we obtained the observed data, and expand the real-time flood alarm system over the ungaged basins. In addition, it is possible to take advantage of development of as multi-sensor based very short-term rainfall forecasting technology.
Keywords
Weather Radar; Very Short-Term; QPF; QPE; TREC; SWMM;
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1 Atlas, D., Ulbrich, C., Marks, F.D. Jr., Amitai, E., and Williams, C.R. (1999). "Systematic variation of drop size and radar-rainfall relations." Journal of Geophysical Research, Vol. 104, pp. 6155-6169.   DOI
2 Bedient, P.B., Holder, A., Benavides, J.A., and Vieux, B.E. (2003). "Radar-based flood warning system applied to Tropical Storm Allison." Journal of Hydrologic Engineering, Vol. 8, No. 6, pp. 308-318.   DOI
3 Benjamin, S.G., and Seaman, N.L. (1985). "A simple scheme for objective analysis in curved flow." Monthly Weather Review, Vol. 113, pp. 1184-1198.   DOI
4 Blanchard, D.C. (1953). "Raindrop size distribution in Hawaiian rains." Journal ofMeteorology, Vol. 10, pp. 457-473.   DOI
5 Calheiros, R.V., and Zawadzki, I. (1987). "Reflectivityrain rate relationships for radar hydrology in Brazil." Journal of Climate Applied Meteorology, Vol. 26, pp. 118-132.   DOI
6 Chandrasekar, V., and Cifelli, R. (2012). "Concepts and principles of rainfall estimation from radar: Multi sensor environment and data fusion." Indian Journal of Radio and Space Physics, Vol. 41, pp. 389-402.
7 Cressman, G.P. (1959). "An operational objective analysis system." Monthly Weather Review, Vol. 87, pp. 367-374.   DOI
8 Einfalt, T., Arnbjerg-Nielsen, K., Golz, C., Jensen, N.E., Quirmbach, M., Vaes, G., and Vieux, B. (2004). "Towards a roadmap for use of radar rainfall data in urban drainage." Journal of Hydrology, Vol. 299, No. 3, pp. 186-202.   DOI
9 Elsner, J.B., Kossin, J.P., and Jagger, T.H. (2008). "The Increasing Intensity of the Strongest Tropical Cyclones." Nature, Vol. 455, No. 7209, pp. 92-95.   DOI
10 Gourley, J.J., and Maddox, R.A. (2002). "An exploratory multisensor technique for quantitative estimation of stratiform rainfall." Journal of Hydrolometeorology, Vol. 3, pp. 166-180.   DOI
11 Jones, D.M.A. (1956). "Rainfall drop size distribution and radar reflectivity." Research Report, No. 6, U.S. Army Contract DA-36-039 SC-64723, Illinois State Water Survey, Urbanba, Vol. 20, pp. 1-20.
12 Joss, J., and Waldvogel, A. (1970). "A method to improve the accuracy of radar measured amounts of precipitation." Preprints of Papers, 14th Radar Meteorology Conference, Tucsan, Arizona, American Meteorological Society, pp. 237-238.
13 Kim, G., and Kim, J.P. (2009). "Development of a shortterm rainfall forecast model using sequential CAPPI data." Journal of the Korean Society of Civil Engineers, Vol. 29, No. 6B, pp. 543-550. (in Korean)
14 Kim, J.S., Yoon, S.K., and Moon, Y.I. (2013). "Development of Rating Curve for high Water Level in an Urban Stream using Monte Carlo Simulation" Journal of the Korean Society of Civil Engineers, Vol. 33, No. 4, pp. 1433-1446. (in Korean)   DOI   ScienceOn
15 Lee, J.H., and Ryu, C.S. (2010). "Radar Meteorology", Sigma Press, pp. 71-72. (in Korean)
16 Mohr, C.G., and Vaughan, R.L. (1979). "An economical procedure for Cartesian interpolation and display of reflectivity factor data in three-dimensional space." Bulletin of the American Meteorological Society, Vol. 18, pp. 661-670.
17 Rinehart, R.E., and Garvey, T. (1978). "Three dimensional storm motion detection by conventional weather radar." Nature, Vol. 273, pp. 287-289.   DOI
18 Thorndahl, S., and Rasmussen, M.R. (2013). "Short-term forecasting of urban storm water runoff in real-time using extrapolated radar rainfall data." Journal of Hydroinformatics, Vol. 15, No. 3, pp. 897-912.   DOI
19 Song, H.S. (2002) "The parameter estimation of rainfallrunoff models based on U-Ee experimental basin." Master of Science in Civil Engineering in The University of Seoul, pp. 1-181.
20 Steiner, M., Houze-Jr, R.A., and Yuter, S.E. (1995). "Climatological Characterization of three dimensional storm structure from operational radar and rain gauge data." Journal of Applied Meteorology, Vol. 34, pp. 1978-2007.   DOI
21 Villarini, G., Smith, J.A., Baeck, M.L., Sturdevant-Rees, P., and Krajewski, W.F. (2010). "Radar analyses of extreme rainfall and flooding in urban drainage basins." Journal of hydrology, Vol. 381, No. 3, pp. 266-286.   DOI
22 Wang, L., Ochoa-Rodriguez, S., Onof, C., and Willems, P. (2015). "Singularity-sensitive gauge-based radar rainfall adjustment methods for urban hydrological applications." Hydrology and Earth System Sciences & Discussions, Vol. 12, pp. 1855-2015.   DOI
23 Webster, P.J., Holland, G.J., Curry, J.A., and Chang, H.R. (2005). "Changes in Tropical Cyclone Number, Duration, and Intensity in a Warming Environment." Science, Vol. 309, pp. 1844-1846.   DOI   ScienceOn
24 Wetchayont, P., Hayasaka, T., Satomura, T., Katagiri, S., and Baimoung, S. (2013). "Retrieval of rainfall by combining rain gauge, ground-based radar and satellite measurements over Phimai, Thailand." Scientific Online Letters on the Atmosphere, Vol. 9, pp. 166-169.
25 Yoon, S.K., and Moon, Y.I. (2014). "The Recent Increasing Trends of Exceedance Rainfall Thresholds Over the Korean Major Cities." Journal of the Korean Society of Civil Engineers, Vol. 34, No. 1, pp. 117-133. (in Korean)   DOI
26 Zhang, J., Howard, K., and Langston, C., Vasiloff, S., Kaney, B., Arthur, A., Van Cooten, S., Kelleher, K., Kitzmiller, D., Ding, F., Seo, D.-J., Wells, E., and Dempsey, C. (2011). "National Mosaic and multisensor QPE (NMQ) system: description, results and future plans." Bulletin of the American Meteorological Society, Vol. 92, pp. 1321-1338.   DOI
27 Yoon, S.S., Bae, D.H., and Choi, Y. (2014). "Urban Inundation Forecasting Using Predicted Radar Rainfall: Case Study." J. Korean Soc. Hazard Mitig., Vol. 14, No. 3, pp. 117-126. (in Korean)
28 Zhang, J., and Qi, Y. (2010). "A real-time algorithm for the correction of bright band effects in radar-derived precipitation estimation." Journal of Hydrometeorology, Vol. 11, pp. 1157-1171.   DOI