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A Study on Estimation of Target Precipitation in Seoul using AWS minutely Rainfall Data
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 Title & Authors
A Study on Estimation of Target Precipitation in Seoul using AWS minutely Rainfall Data
Kim, Min-seoka; Son, Hong-mina; Moon, Young-il;
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 Abstract
It is very important to decide probability precipitation that is used as hydraulic structure design and target rainfall for urban disaster prevention. Especially, National Emergency Management Agency (NAMA) announced target rainfall from probability precipitation in korea on city and district level. It make use to performance evaluation of disaster prevention and planning of development for disasters prevention capacity target. In this study was calculated target rainfall that is duration 1~3 hour based unit of gu (borough) by point and regional frequency analysis using rainfall data of Surface Synoptic Stations (SSS) and Automatic Weather Stations (AWS). The result of this study can utilized as a reference to related business such as disaster capability assessment and achievement of prevention capacity target against disasters. And it also will be contribute to establishment of prevention capacity target against disasters.
 Keywords
Target rainfall;Point frequency analysis;Regional frequency analysis;
 Language
Korean
 Cited by
 References
1.
Ahn, J.H., Kim, T.W., Yoo. C.S., and Yoon, Y.N. (2000). "Analysis of the changes in rainfall quantile according to the increase of data period.", Journal of Korea Water Resources Association, Korea Water Resources Association, Vol. 33, No. 5, pp. 569-580.

2.
Heo, J.H., Lee, Y.S,. Shin, H.J,. and Kim, Y.D. (2007). "Application of Regional Rainfall Frequency Analysis in South Korea(I) : Rainfall Quantile Estimation.", Journal of Korea Society of civil engineers, Korea Society of civil Engineers, Vol. 27, No. 2B, pp. 101-111.

3.
Hosking, J.R.M., and Wallis, J.R. (1993). "Some statistics useful in regional frequency analysis." Water Resources Research, Vol. 29, No. 2, pp. 271-281. crossref(new window)

4.
Hosking, J.R.M., and Wallis, J.R. (1997). "Regional frequency analysis : An approach based on L-moments", Cambridge University, Press.

5.
Institute of Hydrology (1999). "Flood estimation handbook.", Wallingford, UK.

6.
Kim, M.S., and Moon, Y.I. (2015). "A Study on Quality Control Method for Minutely Rainfall Data.", Journal of Korea Society of Civil Engineers, Korea Society of Civil Engineers, Vol. 35, No. 2, pp. 319-326. crossref(new window)

7.
LTM (2011). "Improvement and Supplement of Probability Rainfall, Ministry of Land.", Transportation and Maritime Affairs.

8.
NEMA (2010). "Search on Target-Setting of Urban Disaster Prevention Considering Climate Change.", National Emergency Management.

9.
NEMA (2012). "Criteria of Setting Regional Prevention capacity target.", National Emergency Management.

10.
Oh, T.S., Kim, M.S., Moon, Y.I., Ahn, J.H. (2009). "An Analysis of the Characteristics in Design Rainfall According to the Data Periods.", Journal of the Korean Society of Hazard Mitigation, Korean Society of Hazard Mitigation, Vol. 9, No. 4, pp. 115-127.

11.
Yoo, C.S., Park, C.Y., Kim, K,J., and Jun, K.S. (2008). "Analysis of Rainfall Spatial Correlation Structure Using Minutely Data.", Journal of the Korean Society of Hazard Mitigation, Korean Society of Hazard Mitigation, Vol. 8, No. 6, pp. 113-120.

12.
Yoon, S.S., Lee, B.J., and Choi, Y.J. (2015). "Deduction of data Quality Control Strategy for High Density Rain Gauge Network in Seoul Area.", Journal of Korea Water Resources Association, Korea Water Resources Association, Vol. 48, No. 4, pp. 245-255. crossref(new window)