Browse > Article
http://dx.doi.org/10.3741/JKWRA.2014.47.4.357

Development and Application of Automatic Rainfall Field Tracking Methods for Depth-Area-Duration Analysis  

Kim, Yeon Su (Hydrology and Water Resources Research Laboratory, Kyoto University)
Song, Mi Yeon (IWRI, Chungnam National University)
Lee, Gi Ha (Department of Construction and Disaster Prevention, Kyungpook National University)
Jung, Kwan Sue (Dept. of Civil Eng., Chungnam National University)
Publication Information
Journal of Korea Water Resources Association / v.47, no.4, 2014 , pp. 357-370 More about this Journal
Abstract
This study aims to develop a rainfall field tracking method for depth-area-duration (DAD) analysis and assess whether the proposed tracking methods are able to properly estimate the maximum average areal rainfall (MAAR) within the study area during a rainfall period. We proposed three different rainfall field tracking algorithms (Box-tracking, Point-tracking, Advanced point-tracking) and then applied them to the virtual rainfall field with 1hr duration and also compared DAD curves of each method. In addition, we applied the three tracking methods and a traditional GIS-based tool to the typhoon 'Nari' rainfall event of the Yongdam-Dam watershed and then assess applicability of the proposed methods for DAD analysis. The results showed that Box-tracking was much faster than the other two tracking methods in terms of searching for the MAAR but it was impossible to describe rainfall spatial pattern during its tracking processes. On the other hand, both Point-tracking and Advanced point-tracking provided the MAAR by considering the spatial distribution of rainfall fields. In particular, Advanced point-tracking estimated the MAAR more accurately than Point-tracking in the virtual rainfall field, which has two rainfall centers with similar depths. The proposed automatic rainfall field tracking methods can be used as effective tools to analyze DAD relationship and also calculate areal reduction factor.
Keywords
DAD analysis; rainfall field tracking method; Box-tracking; Point-tracking; Advanced point-tracking;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Arizona Department of Water Resources. (2013). "Probable Maximum Precipitation Study for Arizona PMP Evaluation Tool Description and Usage." Manual.
2 Bell, F.C. (1976). The Areal Reduction Factor in Rainfall Frequency Estimation. Institute of hydrology, Report No. 35.
3 Durrans, S.R., Julian, L.T., and Yekta, M. (2002). "Estimation of depth area relationships using radar data." Journal of Hydrologic Engineering, Vol. 7, No. 5 pp. 356-367.   DOI
4 Guo, J.C.Y. (2012). "Storm Centering Approach for Flood Predictions from Large Watersheds." Journal of Hydrologic Engineering, Vol. 17, No. 9, pp. 960-964.   DOI
5 Kim, B.S. (2009). "Adaptation Strategies for Extreme Flood to Cope with Future Climate Change." Korean Scociety of Civil Engineers, Vol. 57, No. 9, pp. 27-41.   과학기술학회마을
6 Kim, M.M., Jung, C.S., Yeo, W.G., and Sim, J.H. (2009). "Assessment of Design Rainfall for River Improvement due to Climate Change." Meteorological Technology and Policy, Vol. 2, No. 2, pp. 28-37.
7 Kim, N.W., and Won, Y.S. (2004). "DAD Analysis on Storm Movement." Journal of Korea Water Resources Association, Vol. 37, No. 5, pp. 437-448.   과학기술학회마을   DOI
8 Lee, G.H., Lee, K.H., Jung, K.S., and Jang C.L. (2012) "A Comparative Analysis on Slope Stability Using Specific Catchment Area Calculation." Journal of Korea Water Resources Association, Vol. 45, No. 7, pp. 643-656.   과학기술학회마을   DOI
9 Tarun, D.G. (2005). Transformation of Point Rainfall to Areal Rainfall by Estimating Areal Reduction Factors, using Radar Data, For Texas. Master Thesis, Texas A&M University.
10 WMO(1969). Manual for Depth-Area-Duration Analysis of Storm Precitation. Technical Paper 129, Geneva.
11 Svensson, C., and Jones, D.A. (2010). "Review of methods for deriving areal reduction factors." Journal of Flood Risk Management, Vol. 3, pp. 232-245.   DOI