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http://dx.doi.org/10.17663/JWR.2018.20.4.338

Non-stationary frequency analysis of monthly maximum daily rainfall in summer season considering surface air temperature and dew-point temperature  

Lee, Okjeong (Division of Earth Environmental System Science (Major of Environmental Engineering), Pukyong National University)
Sim, Ingyeong (Division of Earth Environmental System Science (Major of Environmental Engineering), Pukyong National University)
Kim, Sangdan (Department of Environmental Engineering, Pukyong National University)
Publication Information
Journal of Wetlands Research / v.20, no.4, 2018 , pp. 338-344 More about this Journal
Abstract
In this study, the surface air temperature (SAT) and the dew-point temperature (DPT) are applied as the covariance of the location parameter among three parameters of GEV distribution to reflect the non-stationarity of extreme rainfall due to climate change. Busan station is selected as the study site and the monthly maximum daily rainfall depth from May to October is used for analysis. Various models are constructed to select the most appropriate co-variate(SAT and DPT) function for location parameter of GEV distribution, and the model with the smallest AIC(Akaike Information Criterion) is selected as the optimal model. As a result, it is found that the non-stationary GEV distribution with co-variate of exp(DPT) is the best. The selected model is used to analyze the effect of climate change scenarios on extreme rainfall quantile. It is confirmed that the design rainfall depth is highly likely to increase as the future DPT increases.
Keywords
Non-Stationary Frequency Analysis; GEV distribution; Meteorological Variable; Co-variate;
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