Flood frequency estimation by continuous simulation under climate change (with uncertainty)

被引:94
作者
Cameron, D [1 ]
Beven, K
Naden, P
机构
[1] Univ Lancaster, Inst Environm & Nat Sci, Lancaster LA1 4YQ, England
[2] Ctr Ecol & Hydrol, Wallingford OX10 8BB, Oxon, England
关键词
climate change; floods; frequency; TOPMODEL;
D O I
10.5194/hess-4-393-2000
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This paper explores the potential for assessing the impacts of climate change upon flood frequency for the gauged, upland Wye catchment at Plynlimon, Wales, UK, while taking account of uncertainty in modelling rainfall-runoff processes under current conditions. A continuous simulation methodology which uses a stochastic rainfall model to drive the rainfall-runoff model TOPMODEL is utilised. Behavioural parameter sets for both the rainfall model and TOPRMODEL are identified prior to the climate change runs using the Generalised Likelihood Uncertainty Estimation (GLUE) methodology. The "medium-high" UKCIP98 climate change scenario, obtained from the HadCM2. GCM simulations, is used as a starting point for a variety of different scenarios at the catchment scale. It is demonstrated that while the scenarios have only a small impact upon the likelihood weighted flood frequency uncertainty bounds in comparison with the current condition scenario, the risk of a given discharge as an element in the distribution of T year floods is changed. This underlines the need to account explicitly for uncertainty within hydrological modelling, especially in estimating the impacts of climate change.
引用
收藏
页码:393 / 405
页数:13
相关论文
共 42 条
  • [11] Beven K. J., 1986, Hillslope Processes, P187, DOI [10.4324/9781003028840, DOI 10.4324/9781003028840]
  • [12] CHANGING RESPONSES IN HYDROLOGY - ASSESSING THE UNCERTAINTY IN PHYSICALLY BASED MODEL PREDICTIONS
    BINLEY, AM
    BEVEN, KJ
    CALVER, A
    WATTS, LG
    [J]. WATER RESOURCES RESEARCH, 1991, 27 (06) : 1253 - 1261
  • [13] Flood frequency prediction for data limited catchments in the Czech Republic using a stochastic rainfall model and TOPMODEL
    Blazkova, S
    Beven, K
    [J]. JOURNAL OF HYDROLOGY, 1997, 195 (1-4) : 256 - 278
  • [14] BLOSCHL G, 1995, HYDROL PROCESS, V9, P251, DOI 10.1002/hyp.3360090305
  • [15] River flood frequency estimation using continuous runoff modelling
    Calver, A
    Lamb, R
    Morris, SE
    [J]. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER AND MARITIME ENGINEERING, 1999, 136 (04): : 225 - 234
  • [16] Flood frequency estimation by continuous simulation for a gauged upland catchment (with uncertainty)
    Cameron, DS
    Beven, KJ
    Tawn, J
    Blazkova, S
    Naden, P
    [J]. JOURNAL OF HYDROLOGY, 1999, 219 (3-4) : 169 - 187
  • [17] On constraining the predictions of a distributed moder: The incorporation of fuzzy estimates of saturated areas into the calibration process
    Franks, SW
    Gineste, P
    Beven, KJ
    Merot, P
    [J]. WATER RESOURCES RESEARCH, 1998, 34 (04) : 787 - 797
  • [18] Bayesian estimation of uncertainty in runoff prediction and the value of data: An application of the GLUE approach
    Freer, J
    Beven, K
    Ambroise, B
    [J]. WATER RESOURCES RESEARCH, 1996, 32 (07) : 2161 - 2173
  • [19] Streamflow response of Belgian catchments to IPCC climate change scenarios
    Gellens, D
    Roulin, E
    [J]. JOURNAL OF HYDROLOGY, 1998, 210 (1-4) : 242 - 258
  • [20] The Plynlimon water balance 1969-1995: the impact of forest and moorland vegetation on evaporation and streamflow in upland catchments
    Hudson, J. A.
    Crane, S. B.
    Blackie, J. R.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 1997, 1 (03) : 409 - 427