DOI QR코드

DOI QR Code

AWS 분(分) 단위 강우자료를 이용한 서울지역 특성에 따른 행정자치 구(區)별 목표강우량 산정에 관한 연구

A Study on Estimation of Target Precipitation in Seoul using AWS minutely Rainfall Data

  • 김민석 (서울시립대학교 토목공학과) ;
  • 손홍민 (서울시립대학교 토목공학과) ;
  • 문영일 (서울시립대학교 토목공학과)
  • Kim, Min-seoka (Department of Civil Engineering, The University of Seoul) ;
  • Son, Hong-mina (Department of Civil Engineering, The University of Seoul) ;
  • Moon, Young-il (Department of Civil Engineering, The University of Seoul)
  • 투고 : 2015.08.11
  • 심사 : 2015.11.03
  • 발행 : 2016.01.31

초록

확률강우량은 수공구조물 설계와 도시방재를 위한 기준 등으로 활용되고 있어, 확률강우량의 산정은 매우 중요하다. 특히 소방방재청에서는 확률강우량으로 우리나라 시 군 단위로 지역방재성능목표를 설정하고 이에 대한 방재성능평가 및 방재성능목표 달성을 위한 개발계획 수립 시 활용하고 있다. 본 연구에서는 현재 시 군 단위로 설정되어 있는 목표 강우량을 구(區) 단위로 산정하고자 기상청의 지상기상관측지점(SSS, Surface Synoptic Stations)과 방재기상관측지점(AWS, Automatic Weather Stations)의 강우자료를 활용하여 지점빈도해석 및 지수홍수법을 이용한 지역빈도해석을 통해 지속시간 1시간, 2시간, 3시간 목표강우량을 산정하였다. 이는 서울지역의 지자체별 방재성능 평가 및 방재관련 업무에 참고자료로 활용할 수 있을 것으로 판단되며, 향후 방재성능목표 설정에 크게 기여할 것으로 판단된다.

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.

키워드

참고문헌

  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. https://doi.org/10.1029/92WR01980
  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. https://doi.org/10.12652/Ksce.2015.35.2.0319
  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. https://doi.org/10.3741/JKWRA.2015.48.4.245