Allowances for evolving coastal flood risk under uncertain local sea-level rise

被引:93
作者
Buchanan, Maya K. [1 ]
Kopp, Robert E. [2 ,3 ]
Oppenheimer, Michael [1 ,4 ]
Tebaldi, Claudia [5 ]
机构
[1] Princeton Univ, Woodrow Wilson Sch Publ & Int Affairs, Princeton, NJ 08544 USA
[2] Rutgers State Univ, Dept Earth & Planetary Sci, Rutgers Energy Inst, New Brunswick, NJ USA
[3] Rutgers State Univ, Inst Earth Ocean & Atmospher Sci, New Brunswick, NJ USA
[4] Princeton Univ, Dept Geosci, Princeton, NJ 08544 USA
[5] Natl Ctr Atmospher Res, Climate & Global Dynam, POB 3000, Boulder, CO 80307 USA
基金
美国海洋和大气管理局;
关键词
CLIMATE-CHANGE; ADAPTATION; FRAMEWORK; IMPACTS; SURGE;
D O I
10.1007/s10584-016-1664-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Estimates of future flood hazards made under the assumption of stationary mean sea level are biased low due to sea-level rise (SLR). However, adjustments to flood return levels made assuming fixed increases of sea level are also inadequate when applied to sea level that is rising over time at an uncertain rate. SLR allowances-the height adjustment from historic flood levels that maintain under uncertainty the annual expected probability of flooding-are typically estimated independently of individual decision-makers' preferences, such as time horizon, risk tolerance, and confidence in SLR projections. We provide a framework of SLR allowances that employs complete probability distributions of local SLR and a range of user-defined flood risk management preferences. Given non-stationary and uncertain sea-level rise, these metrics provide estimates of flood protection heights and offsets for different planning horizons in coastal areas. We illustrate the calculation of various allowance types for a set of long-duration tide gauges along U.S. coastlines.
引用
收藏
页码:347 / 362
页数:16
相关论文
共 48 条
  • [1] Are there social limits to adaptation to climate change?
    Adger, W. Neil
    Dessai, Suraje
    Goulden, Marisa
    Hulme, Mike
    Lorenzoni, Irene
    Nelson, Donald R.
    Naess, Lars Otto
    Wolf, Johanna
    Wreford, Anita
    [J]. CLIMATIC CHANGE, 2009, 93 (3-4) : 335 - 354
  • [2] [Anonymous], 2014, TECH REP
  • [3] [Anonymous], 2015, N ATLANTIC COAST COM
  • [4] Bamber JL, 2013, NAT CLIM CHANGE, V3, P424, DOI [10.1038/nclimate1778, 10.1038/NCLIMATE1778]
  • [5] Bierbaum R., 2014, CLIMATE CHANGE IMPAC, P1, DOI DOI 10.7930/J07H1GGT
  • [6] The End of Reliability
    Brown, Casey
    [J]. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2010, 136 (02) : 143 - 145
  • [7] Christensen JH, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1217
  • [8] Church J.A., 2013, CLIMATE CHANGE 2013, DOI [DOI 10.1017/CBO9781107415324.026, 10.1017/CB09781107415315.026, DOI 10.1017/CB09781107415324.026]
  • [9] 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]
  • [10] Conner S., 2013, The Independent