Catastrophic flooding resulting from extreme meteorological events has occurred more frequently and drawn great attention in recent years in China. In coastal areas, extreme precipitation and storm tide are both inducing factors of flooding and therefore their joint probability would be critical to determine the flooding risk. The impact of storm tide or changing environment on flooding is ignored or underestimated in the design of drainage systems of today in coastal areas in China. This paper investigates the joint probability of extreme precipitation and storm tide and its change using copula-based models in Fuzhou City. The change point at the year of 1984 detected by Mann-Kendall and Pettitt’s tests divides the extreme precipitation series into two subsequences. For each subsequence the probability of the joint behavior of extreme precipitation and storm tide is estimated by the optimal copula. Results show that the joint probability has increased by more than 300% on average after 1984 (α = 0.05). The design joint return period (RP) of extreme precipitation and storm tide is estimated to propose a design standard for future flooding preparedness. For a combination of extreme precipitation and storm tide, the design joint RP has become smaller than before. It implies that flooding would happen more often after 1984, which corresponds with the observation. The study would facilitate understanding the change of flood risk and proposing the adaption measures for coastal areas under a changing environment.
State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, China;State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, China;State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, China;College of Water Sciences, Beijing Normal University, Beijing, China
Recommended Citation:
Kui Xu,Chao Ma,Jijian Lian,et al. Joint Probability Analysis of Extreme Precipitation and Storm Tide in a Coastal City under Changing Environment[J]. PLOS ONE,2014-01-01,9(10)