Assessment of the joint impact of extreme rainfall and storm surge on the risk of flooding in a coastal area

被引:107
作者
Zellou, Bouchra [1 ]
Rahali, Hassane [1 ]
机构
[1] Univ Med V, Inst Sci, BP 703, Rabat, Morocco
关键词
Flood; Joint risk; Tide; Rainfall; Bivariate copula; Dependence; MODELING DEPENDENCE; BOUNDARY-CONDITIONS; TAIL-DEPENDENCE; RIVER FLOW; SEA SURGE; COPULA; PRECIPITATION; DISTRIBUTIONS; PROBABILITY; NETWORK;
D O I
10.1016/j.jhydrol.2018.12.028
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In coastal areas, flood events can result from the interaction of several factors such as rainfall, river flow and the classical tidal asymmetry to mention but a few. Therefore, flood risk assessment in these areas involves not only the estimation of the extreme values of each variable, but also their probability of occurring simultaneously. This study investigates the combined effect and dependence between a "heavy" rainfall with a high tidal levels forcing on the occurrence and severity of floods in the urban neighborhood close to the estuary of the Bouregreg River (Morocco). The methodology used for this analysis is based on a bivariate copula model to evaluate the joint risk probability of flood events. The estimated joint probability is used to define the boundary conditions for a hydraulic model to quantify the water levels and the extent of floods caused by the combination of both extreme rainfall and storm surge. The considered variables reveal a not negligible correlation, and the copula approach seems to be suitable and enough flexible, for analyzing separately marginal distributions of the source variables and their structure of dependence. Results show that the joint probability of rainfall and tide both exceeding their critical thresholds remains low to moderate, and the biggest threat to this area might be caused by heavy rainfall. However, high tide adds an extra risk by reducing the capacity of the urban drainage in absorbing storm water; especially when rainfall intensity exceeds 100 years return period. Although rainfall and tide introduce a wide range of time scale meteorological forcing, this won't prevent storm surge and extreme rainfall events resulting from climate change, to take place in the future, on the same day leading to some of the most critical flooding scenarios in this area.
引用
收藏
页码:647 / 665
页数:19
相关论文
共 103 条
[1]   Models for construction of multivariate dependence - a comparison study [J].
Aas, Kjersti ;
Berg, Daniel .
EUROPEAN JOURNAL OF FINANCE, 2009, 15 (7-8) :639-659
[2]  
Akaike H., 1998, 2 INT S INF THEOR, P199, DOI 10.1007/978-1-4612-1694-015
[3]   CLASS OF BIVARIATE DISTRIBUTIONS INCLUDING BIVARIATE LOGISTIC [J].
ALI, MM ;
MIKHAIL, NN ;
HAQ, MS .
JOURNAL OF MULTIVARIATE ANALYSIS, 1978, 8 (03) :405-412
[4]   Atmospheric warming and the amplification of precipitation extremes [J].
Allan, Richard P. ;
Soden, Brian J. .
SCIENCE, 2008, 321 (5895) :1481-1484
[5]  
[Anonymous], 1987, Tides, Surges and Mean Sea-Level
[6]  
[Anonymous], 2015, J STAT SOFTWARE
[7]  
[Anonymous], 2010, Appl. Math. Sci.
[8]   Development of flood probability charts for urban drainage network in coastal areas through a simplified joint assessment approach [J].
Archetti, R. ;
Bolognesi, A. ;
Casadio, A. ;
Maglionico, M. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2011, 15 (10) :3115-3122
[9]   Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE [J].
Aronica, G ;
Bates, PD ;
Horritt, MS .
HYDROLOGICAL PROCESSES, 2002, 16 (10) :2001-2016
[10]   Modelling the statistical dependence of rainfall event variables through copula functions [J].
Balistrocchi, M. ;
Bacchi, B. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2011, 15 (06) :1959-1977