Critical elevation levels for flooding due to sea-level rise in Hawai'i

被引:34
作者
Kane, Haunani H. [1 ]
Fletcher, Charles H. [1 ]
Frazer, L. Neil [1 ]
Barbee, Matthew M. [1 ]
机构
[1] Univ Hawaii, SOEST Geol & Geophys, Honolulu, HI 96822 USA
关键词
Sea-level rise; Wetland; Critical elevation; LiDAR; Digital elevation model; Hawaii; VULNERABILITY; WETLANDS; RATES; MAUI;
D O I
10.1007/s10113-014-0725-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Coastal strand and wetland habitats in the Hawaiian Islands are often intensively managed to restore and maintain biodiversity. Due to the low gradient of most coastal plain environments, the rate and aerial extent of sea-level rise (SLR) impact will rapidly accelerate once the height of the sea surface exceeds a critical elevation. Here, we develop this concept by calculating a SLR critical elevation and joint uncertainty that distinguishes between slow and rapid phases of flooding. We apply the methodology to three coastal wetlands on the Hawaiian Islands of Maui and O'ahu to exemplify the applicability of this methodology for wetlands in the Pacific island region. Using high-resolution LiDAR digital elevation models, flooded areas are mapped and ranked from high (80 %) to low (2.5 %) risk based upon the percent probability of flooding under the B1, A2, and A1Fl emissions scenarios. As the rate of flooding transitioned from the slow to rapid phase, the area (expressed as a percentage of the total) at a high risk of flooding under the A1Fl scenario increased from 21.0 to 53.3 % (south Maui), 0.3 to 18.2 % (north Maui), and 1.7 to 15.9 % (north O'ahu). At the same time, low risk areas increased from 34.1 to 80.2, 17.7 to 46.9, and 15.4 to 46.3 %. The critical elevation of SLR may have already passed (2003) on south Maui, and decision makers on North Maui and O'ahu may have approximately 37 years (2050) to develop, and implement adaptation strategies that meet the challenges of SLR in advance of the largest impacts.
引用
收藏
页码:1679 / 1687
页数:9
相关论文
共 44 条
[21]   Surface Elevation Change and Susceptibility of Different Mangrove Zones to Sea-Level Rise on Pacific High Islands of Micronesia [J].
Krauss, Ken W. ;
Cahoon, Donald R. ;
Allen, James A. ;
Ewel, Katherine C. ;
Lynch, James C. ;
Cormier, Nicole .
ECOSYSTEMS, 2010, 13 (01) :129-143
[22]   Differential rates of vertical accretion and elevation change among aerial root types in Micronesian mangrove forests [J].
Krauss, KW ;
Allen, JA ;
Cahoon, DR .
ESTUARINE COASTAL AND SHELF SCIENCE, 2003, 56 (02) :251-259
[23]   Using enhanced dasymetric mapping techniques to improve the spatial accuracy of sea level rise vulnerability assessments [J].
Mitsova, Diana ;
Esnard, Ann-Margaret ;
Li, Yanmei .
JOURNAL OF COASTAL CONSERVATION, 2012, 16 (03) :355-372
[24]  
Moore J.G., 1987, Volcanism, Volume 1. U.S. Geological Survey Professional Paper 1350, V1350, P85
[25]  
Nakicenovic N., 2000, IPCC Special Report on Emissions Scenarios (SRES)
[26]  
National Oceanographic and Atmospheric Administration (NOAA), 2010, MAPP IN UNC
[27]   Raster modelling of coastal flooding from sea-level rise [J].
Poulter, B. ;
Halpin, P. N. .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2008, 22 (02) :167-182
[28]   Testing the robustness of semi-empirical sea level projections [J].
Rahmstorf, Stefan ;
Perrette, Mahe ;
Vermeer, Martin .
CLIMATE DYNAMICS, 2012, 39 (3-4) :861-875
[29]   Are beach erosion rates and sea-level rise related in Hawaii? [J].
Romine, Bradley M. ;
Fletcher, Charles H. ;
Barbee, Matthew M. ;
Anderson, Tiffany R. ;
Frazer, L. Neil .
GLOBAL AND PLANETARY CHANGE, 2013, 108 :149-157
[30]   Analysis of an unconfined aquifer subject to asynchronous dual-tide propagation [J].
Rotzoll, Koija ;
El-Kadi, Aly I. ;
Gingerich, Stephen B. .
GROUND WATER, 2008, 46 (02) :239-250