Advanced SearchSearch Tips
Flood inflow forecasting on HantanRiver reservoir by using forecasted rainfall
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Flood inflow forecasting on HantanRiver reservoir by using forecasted rainfall
Yu, Myungsu; Lee, Youngmok; Yi, Jaeeung;
  PDF(new window)
Due to climate changes accelerated by global warming, South Korea has experienced regional climate variations as well as increasing severities and frequencies of extreme weather. The precipitation in South Korea during the summer season in 2013 was concentrated mainly in the central region; the maximum number of rainy days were recorded in the central region while the southern region had the minimum number of rainy days. As a result, much attention has been paid to the importance of flood control due to damage caused by spatiotemporal intensive rainfalls. In this study, forecast rainfall data was used for rapid responses to prevent disasters during flood seasons. For this purpose, the applicability of numerical weather forecast data was analyzed using the ground observation rainfall and inflow rate. Correlation coefficient, maximum rainfall intensity percent error and total rainfall percent error were used for the quantitative comparison of ground observation rainfall data. In addition, correlation coefficient, Nash-Sutcliffe efficiency coefficient, and standardized RMSE were used for the quantitative comparison of inflow rate. As a result of the simulation, the correlation coefficient up to six hours was 0.7 or higher, indicating a high correlation. Furthermore, the Nash-Sutcliffe efficiency coefficient was positive until six hours, confirming the applicability of forecast rainfall.
LDAPS;Inflow Forecasting;Forecasted Rainfall;Ungaged Watershed;
 Cited by
Analysis on the sediment sluicing efficiency by variation of operation water surface elevation at flood season, Journal of Korea Water Resources Association, 2016, 49, 12, 971  crossref(new windwow)
Byeon, D.H. (2009). Dam Inflow Forecasts Using Short-Term Numerical Weather Forecast Data, Sejong University.

Charney, J.G. (1948). "On the scale of atmospheric motions", Geofysiske Publikasjoner, Vol. 17, No. 2, 1948.

Cho, M.R. (1991). Political Economy of Regional Differentiation, Seoul, Hanul.

Cho, M.R. (2003). "Trend and Prospect of Urbanization in Korea: Reflections on Korean Cities", Economy and Society, Vol. 60, pp. 10-39.

Cho, S.H. (2011). Development of a Precipitation Forecast Model Using Satellite Data and Ground Network Data, Kyungpook National University.

GAR, Global Assessment Report on disaster risk reduction (2015). Internationally Reported Losses 1990-2014 EMDAT, Retrieved from

Han, M.S. (2014). Correction from MAPLE and KLAPS rainfall forecasting.

Kim, B.K., Jang, D.W., Yang, D.M., and Yoo, C.S. (2009). "Accuracy Consideration of MAPLE Data Vary Short-Term Forecasting Model.", Water for Future, Korea Water Resources Association, Korea, Vol. 42, No. 12, pp. 52-64.

Kim, J.H., Bae, D.H., and Kim, W.T. (2005). "Hydrological Rainfall Forecast for Short-Range Numerical Weather Prediction Model", Korean Society of Civil Engineers, KSCE Convention, pp. 1493-1496.

Lee, S.H., and Heo, I.H. (2011). "The Impacts of Urbanization on Changes of Extreme Events of Air Trmperature in South Korea", Journal of the Korean Geographical Society, Vol. 46, No. 3, pp. 257-276.

Lee, S.J., Jeong, C.S., Kim, J.C., and Hwang, M.H. (2011). "Long-term Streamflow Prediction Using ESP and RDAPS Model", Journal of Korea Water Resources Association, Korea Water Resources Association, Vol. 44, No. 12, pp. 967-974. crossref(new window)

Legates, D.R., and McCabe, G.J. (1999). "Evaluating the use of goodness-of-fit measures in hydrologic and hydroclimatic model validation", Water Resources Research, Vol. 35, No. 1, pp. 233-241. crossref(new window)

Ministry of Public Safety and Security (2014). Chronology of Disasters.

Richardson, L.F. (1922). Weather Prediction by Numerical Process. Cambridge University Press. 2nd Edn. with Foreward by Peter Lynch (2007).

So, C.H. (2015). "Climate Change Adaptation and Business", Risk Management, Vol. 136, pp. 50-54.

Wilcox, B.P., Rawls, W.J., Brakensiek, D.L., and Wight, J.R. (1990). "Predicting runoff from rangeland catchments : A comparison of two models", Water Resources Research, Vol. 26, Issue 10, pp. 2401-2410. crossref(new window)

WMO (1994). Guide to Hydrological Practices-Fifth Edition, WMO-No. 168.