A global classification of coastal flood hazard climates associated with large-scale oceanographic forcing

被引:93
作者
Rueda, Ana [1 ]
Vitousek, Sean [2 ]
Camus, Paula [3 ]
Tomas, Antonio [3 ]
Espejo, Antonio [3 ]
Losada, Inigo J. [3 ]
Barnard, Patrick L. [4 ]
Erikson, Li H. [4 ]
Ruggiero, Peter [5 ]
Reguero, Borja G. [6 ,7 ]
Mendez, Fernando J. [1 ]
机构
[1] Univ Cantabria, Surf & Surge Res Grp, Dept Ciencias & Tecn Agua & Medio Ambiente, Santander, Spain
[2] Univ Illinois, Dept Civil & Mat Engn, Chicago, IL USA
[3] Univ Cantabria, IHCantabria, Environm Hydraul Inst, Santander, Spain
[4] US Geol Survey, Pacific Coastal & Marine Sci Ctr, Santa Cruz, CA USA
[5] Oregon State Univ, Coll Earth Ocean & Atmospher Sci, Corvallis, OR 97331 USA
[6] Univ Calif Santa Cruz, Inst Marine Sci, Santa Cruz, CA 95064 USA
[7] Nature Conservancy, 1815 N Lynn St, Arlington, VA USA
来源
SCIENTIFIC REPORTS | 2017年 / 7卷
关键词
SEA-LEVEL; WATER LEVELS; WAVE; PREDICTIONS; TIDES;
D O I
10.1038/s41598-017-05090-w
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Coastal communities throughout the world are exposed to numerous and increasing threats, such as coastal flooding and erosion, saltwater intrusion and wetland degradation. Here, we present the first global-scale analysis of the main drivers of coastal flooding due to large-scale oceanographic factors. Given the large dimensionality of the problem (e.g. spatiotemporal variability in flood magnitude and the relative influence of waves, tides and surge levels), we have performed a computer-based classification to identify geographical areas with homogeneous climates. Results show that 75% of coastal regions around the globe have the potential for very large flooding events with low probabilities (unbounded tails), 82% are tide-dominated, and almost 49% are highly susceptible to increases in flooding frequency due to sea-level rise.
引用
收藏
页数:8
相关论文
共 43 条
[1]  
Barnard PL, 2015, NAT GEOSCI, V8, P801, DOI [10.1038/ngeo2539, 10.1038/NGEO2539]
[2]   Shifting perspectives on coastal impacts and adaptation [J].
Brown, Sally ;
Nicholls, Robert J. ;
Hanson, Susan ;
Brundrit, Geoff ;
Dearing, John A. ;
Dickson, Mark E. ;
Gallop, Shari L. ;
Gao, Shu ;
Haigh, Ivan D. ;
Hinkel, Jochen ;
Jimenez, Jose A. ;
Klein, Richard J. T. ;
Kron, Wolfgang ;
Lazar, Attila N. ;
Neves, Claudio Freitas ;
Newton, Alice ;
Pattiaratchi, Charitha ;
Payo, Andres ;
Pye, Kenneth ;
Sanchez-Arcilla, Agustin ;
Siddall, Mark ;
Shareef, Ali ;
Tompkins, Emma L. ;
Vafeidis, Athanasios T. ;
van Maanen, Barend ;
Ward, Philip J. ;
Woodroffe, Colin D. .
NATURE CLIMATE CHANGE, 2014, 4 (09) :752-755
[3]   Resolving vertical tectonics in the San Francisco Bay Area from permanent scatterer InSAR and GPS analysis [J].
Bürgmann, R ;
Hilley, G ;
Ferretti, A ;
Novali, F .
GEOLOGY, 2006, 34 (03) :221-224
[4]   Analysis of clustering and selection algorithms for the study of multivariate wave climate [J].
Camus, Paula ;
Mendez, Fernando J. ;
Medina, Raul ;
Cofino, Antonio S. .
COASTAL ENGINEERING, 2011, 58 (06) :453-462
[5]   Modeling the barotropic response of the global ocean to atmospheric wind and pressure forcing -: comparisons with observations -: art. no. 1275 [J].
Carrère, L ;
Lyard, F .
GEOPHYSICAL RESEARCH LETTERS, 2003, 30 (06) :8-1
[6]  
Coles S., 2001, An introduction to statistical modeling of extreme values, DOI [10.1007/978-1-4471-3675-0, DOI 10.1007/978-1-4471-3675-0]
[7]   TOPEX/POSEIDON TIDES ESTIMATED USING A GLOBAL INVERSE MODEL [J].
EGBERT, GD ;
BENNETT, AF ;
FOREMAN, MGG .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1994, 99 (C12) :24821-24852
[8]   Clustering large data with uncertainty [J].
Ghosh, Sampreeti ;
Mitra, Sushmita .
APPLIED SOFT COMPUTING, 2013, 13 (04) :1639-1645
[9]   A methodology for deriving extreme nearshore sea conditions for structural design and flood risk analysis [J].
Gouldby, B. ;
Mendez, F. J. ;
Guanche, Y. ;
Rueda, A. ;
Minguez, R. .
COASTAL ENGINEERING, 2014, 88 :15-26
[10]   Estimating present day extreme water level exceedance probabilities around the coastline of Australia: tropical cyclone-induced storm surges [J].
Haigh, Ivan D. ;
MacPherson, Leigh R. ;
Mason, Matthew S. ;
Wijeratne, E. M. S. ;
Pattiaratchi, Charitha B. ;
Crompton, Ryan P. ;
George, Steve .
CLIMATE DYNAMICS, 2014, 42 (1-2) :139-157