Modelling future landslide activity based on general circulation models

被引:35
作者
Dehn, M
Buma, J
机构
[1] Univ Bonn, Dept Geog, D-53115 Bonn, Germany
[2] Univ Utrecht, Dept Phys Geog, NL-3508 TC Utrecht, Netherlands
关键词
climate change impact; statistical downscaling; GCM; landslide modelling;
D O I
10.1016/S0169-555X(99)00053-7
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Currently, global warming due to increasing concentrations of CO, and other greenhouse gases is widely accepted. Climate is an important forcing parameter of landslides and, hence, implications of climate change for landslide activity are of high concern for geomorphological research. The present paper offers a method for assessing climate change impacts on landslide frequency based on general circulation models (GCM). GCM results are downscaled with an empirical-statistical technique to derive local precipitation scenarios. These scenarios are used as input to a simple slope hydrological and stability model. The landslide is defined 'active' if simulated groundwater levels exceed a critical level established with the stability model. Recurrence intervals for landslide activity are obtained by applying a Gumbel regression to the simulated annual maximum groundwater levels. Furthermore, it is shown that indirect climate change impacts as well as changing non-climatic parameters can be important for future landslide frequencies too. The use of three different GCM experiments for the assessment of the activity of a small landslide in SE France did not show a consistent picture of future landslide frequencies. This is due to differences between the GCM experiments but might be enhanced by the limited ability of the applied downscaling technique to carry climate change signals. Finally, some possibilities of improving the approach are outlined and the need for better GCM experiments, which provide the basic input of the approach, is addressed. (C) 1999 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:175 / 187
页数:13
相关论文
共 34 条
  • [21] KRUSE HMG, 1990, MODEL TEMPORAL ANAL
  • [22] Lettenmaier D, 1995, ANALYSIS OF CLIMATE VARIABILITY, P197
  • [23] ENSO variability and atmospheric response in a global coupled atmosphere-ocean GCM
    Roeckner, E
    Oberhuber, JM
    Bacher, A
    Christoph, M
    Kirchner, I
    [J]. CLIMATE DYNAMICS, 1996, 12 (11) : 737 - 754
  • [24] Thornthwaite C. W., 1957, Publications in Climatology, Drexel Institute of Technology, Centerton, New Jersey, V10, P185
  • [25] AN APPROACH TOWARD A RATIONAL CLASSIFICATION OF CLIMATE
    Thornthwaite, C. W.
    [J]. GEOGRAPHICAL REVIEW, 1948, 38 (01) : 55 - 94
  • [26] TRNEBERTH KE, 1996, CLIMATE CHANGE DEV S, P63
  • [27] TEMPORAL PATTERNS OF MASS MOVEMENTS IN THE FRENCH ALPS
    VANASCH, TWJ
    VANSTEIJN, H
    [J]. CATENA, 1991, 18 (05) : 515 - 527
  • [28] VANASCH TWJ, 1996, TEMPORAL STABILITY A, P69
  • [29] von Storch H., 1995, Meteorologische Zeitschrift, V4, P72
  • [30] VONSTORCH H, 1993, J CLIMATE, V6, P1161, DOI 10.1175/1520-0442(1993)006<1161:DOGCCE>2.0.CO