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Outlook for Temporal Variation of Trend Embedded in Extreme Rainfall Time Series  

Seo, Lynn (Dept. of Civil and Environmental Eng., Hanyang Univ.)
Choi, Min-Ha (Dept. of Civil and Environmental Eng., Hanyang Univ.)
Kim, Tae-Woong (Dept. of Civil and Environmental Eng., Hanyang Univ.)
Publication Information
Journal of Wetlands Research / v.12, no.2, 2010 , pp. 13-23 More about this Journal
Abstract
According to recent researches on climate change, the global warming is obvious to increase rainfall intensity. Damage caused by extreme hydrologic events due to global change is steadily getting bigger and bigger. Recently, frequently occurring heavy rainfalls surely affect the trend of rainfall observations. Probability precipitation estimation method used in designing and planning hydrological resources assumes that rainfall data is stationary. The stationary probability precipitation estimation method could be very weak to abnormal rainfalls occurred by climate change, because stationary probability precipitation estimation method cannot reflect increasing trend of rainfall intensity. This study analyzed temporal variation of trend in rainfall time series at 51 stations which are not significant for statistical trend tests. After modeling rainfall time series with maintaining observed statistical characteristics, this study also estimated whether rainfall data is significant for the statistical trend test in near future. It was found that 13 stations among sample stations will have trend within 10 years. The results indicate that non-stationary probability precipitation estimation method must be applied to sufficiently consider increase trend of rainfall.
Keywords
Temporal variation; Climate Change; Trend; Rainfall time series;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 이상복, 김경덕, 허준행(2004). "강수자료에 대한변동성 및 경향성 해석", 한국수자원학회 학술발표회 논문집, 한국수자원학회, pp. 696-700.
2 임은순, 권원태, 배덕효(2006). "수자원 영향평가에활용 가능한 지역기후변화 시나리오 연구", 한국수자원학회 논문집, 한국수자원학회, 제39권,12호, pp. 1043-1056.   과학기술학회마을
3 정종호, 윤용남(2006). 수자원 설계 실무, 구미서관, pp. 49-51.
4 김연형(1994). 시계열분석, 자유 아카데미. pp.3-36, 283-356.
5 Rohrer, C. A. and Hughes C. L. (2006). "Flow trend analysis in the rouge river watershed and the effect of temporal resolution on trend detection", World Environmental and Water Resources Congress 2006, Omaha, Nebraska.
6 오제승, 김형수, 서병하(2006). "수문 및 기후 자료에 대한 선형 경향성 및 평균이동 분석", 대한토목학회 논문집, 대한토목학회, 제26권, 4B호,pp. 355-362.
7 권영문, 박진원, 김태웅(2009). "강우량의 증가 경향성을 고려한 목표연도 확률강우량 산정", 대한토목학회논문집, 대한토목학회, 제29권, 2B호, pp. 131-139.
8 권태영, 오성남, 박상욱(1998). "한반도 여름 강우의 장기변동과 지역적 특성" 한국기상학회지,Vol. 34, pp. 20-30.
9 Leclerc, M. and Ouarda, T. B. B. J. (2007). "Non-stationary regional flood frequency analysis at ungauged site", Journal of Hydrology, Vol. 343, Issues 3-4, pp. 254-265.   DOI   ScienceOn
10 Mearns, L. O., Schneider, S. H., Thompson, S. L. and McDaniel, L. R. (1990). "Analysis of climate variability in general circulation models : Comparison with observation and changes in variability $2XCO_{2}$ experiments", Journal of Climate, Vol. 4, pp. 425-435.
11 차은정, 최영진(2000). "한반도 여름철 집중호우의시간 ∙ 공간 변동 특성", 한국수자원학회지, 한국수자원학회, 제33권, 4호, pp. 47-56.
12 IPCC, (2007). Climate Change 2007 : Synthesis Report, pp. 31.
13 Kalra, A., Piechota, T. C., Davies, R. and Tootle G. A. (2008). "Changes in U.S. streamflow and western U.S. snowpack", Journal of Hydrologic Engineering, Vol. 13, Issue 3, pp. 156-160.   DOI   ScienceOn
14 He, Y, Bárdossy, A. and Brommundt, J. (2006). "Non-stationary flood frequency analysis in southern germany", The 7th International Conference on HydroScience and Engineering, Philadelphia.
15 Beighley, R. E. and Moglen, G. E. (2002). "Trend assessment in rainfall-runoff behavior in urbanizing watersheds", Journal of Hydrologic Engineering, Vol. 7, No. 1, pp. 27-34.   DOI   ScienceOn
16 Caruso, J. C. and Cliff, N. (1997). "Empirical size, coverage, and power of confidence intervals for Spearman's Rho", Educational and Psychological Measurement, Vol. 57, No. 4, pp. 637-654.   DOI   ScienceOn