Climate change and fluvial flood risk in the UK: more of the same?

被引:170
作者
Wilby, R. L. [1 ,2 ]
Beven, K. J. [3 ,5 ]
Reynard, N. S. [4 ]
机构
[1] Univ Lancaster, Dept Geog, Lancaster LA1 4YQ, England
[2] Environm Agcy, Dept Sci, Nottingham, England
[3] Univ Lancaster, Lancaster Environm Ctr, Lancaster LA1 4YW, England
[4] Ctr Ecol & Hydrol, Wallingford, Oxon, England
[5] Uppsala Univ, Geocentrum, Uppsala, Sweden
基金
英国自然环境研究理事会;
关键词
climate change; flood risk; detection; land use; adaptation; uncertainty;
D O I
10.1002/hyp.6847
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The potential impact of climate change on fluvial flooding is receiving considerable scientific and political interest thanks to evidence from climate model projections and a widely held belief that flood risk may be increasing at European levels. This review compares published work on historical trends in UK rainfall and river flow records with high-resolution regional climate change projections, and attempts to reconcile apparent differences between the two. Attention is focused on the techniques used for climate change detection and attribution, as well as the potential confounding effects of land-use change. International and domestic efforts to build adaptive capacity rest on improved quantification of uncertainty in flood risk at very local, catchment and regional scales. This will involve further research to better integrate climate and land-management interactions, to understand changes in the dependence between different flood generating mechanisms, and to improve the characterization and communication of uncertainty at all stages of analysis. Resources are also needed to ensure that latest, but still uncertain, science is presented in an appropriate form to underpin policy development and is translated into sensible guidance for practitioners. Copyright (c) 2007 John Wiley & Sons, Ltd.
引用
收藏
页码:2511 / 2523
页数:13
相关论文
共 140 条
  • [71] Nonparametric direct mapping of rainfall-runoff relationships: An alternative approach to data analysis and modeling?
    Iorgulescu, I
    Beven, KJ
    [J]. WATER RESOURCES RESEARCH, 2004, 40 (08) : W084031 - W0840311
  • [72] JOHNSON P, 2005, WEATHER, V60, P132
  • [73] Extended riverflow reconstructions for England and Wales, 1865-2002
    Jones, PD
    Lister, DH
    Wilby, RL
    Kostopoulou, E
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2006, 26 (02) : 219 - 231
  • [74] Assessing future changes in extreme precipitation over Britain using regional climate model integrations
    Jones, PD
    Reid, PA
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2001, 21 (11) : 1337 - 1356
  • [75] Anthropogenic warming of central England temperature
    Karoly, David J.
    Stott, Peter A.
    [J]. ATMOSPHERIC SCIENCE LETTERS, 2006, 7 (04): : 81 - 85
  • [76] RCM rainfall for UK flood frequency estimation. I. Method and validation
    Kay, AL
    Reynard, NS
    Jones, RG
    [J]. JOURNAL OF HYDROLOGY, 2006, 318 (1-4) : 151 - 162
  • [77] RCM rainfall for UK flood frequency estimation. II. Climate change results
    Kay, AL
    Jones, RG
    Reynard, NS
    [J]. JOURNAL OF HYDROLOGY, 2006, 318 (1-4) : 163 - 172
  • [78] Flood frequency analysis: assumptions and alternatives
    Kidson, R
    Richards, KS
    [J]. PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT, 2005, 29 (03): : 392 - 410
  • [79] Trend detection in river flow series: 1. Annual maximum flow
    Kundzewicz, ZW
    Graczyk, D
    Maurer, T
    Pinskwar, I
    Radziejewski, M
    Svensson, C
    Szwed, M
    [J]. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2005, 50 (05): : 797 - 810
  • [80] Evidence for global runoff increase related to climate warming
    Labat, D
    Goddéris, Y
    Probst, JL
    Guyot, JL
    [J]. ADVANCES IN WATER RESOURCES, 2004, 27 (06) : 631 - 642