Estimation of rainfall elasticity of streamflow in Australia

被引:223
作者
Chiew, Francis H. S.
机构
[1] CSIRO Land & Water, Canberra, ACT 2601, Australia
[2] Univ Melbourne, Parkville, Vic 3052, Australia
关键词
Australia; climate change; elasticity; hydrological modelling; nonparametric estimator; rainfall; sensitivity; streamflow;
D O I
10.1623/hysj.51.4.613
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Estimates of rainfall elasticity of streamflow in 219 catchments across Australia are presented. The rainfall elasticity of streamflow is defined here as the proportional change in mean annual streamflow divided by the proportional change in mean annual rainfall. The elasticity is therefore a simple estimate of the sensitivity of long-term streamflow to changes in long-term rainfall, and is particularly useful as an initial estimate of climate change impact in land and water resources projects. The rainfall elasticity of streamflow is estimated here using a hydrological modelling approach and a nonparametric estimator. The results indicate that the rainfall elasticity of streamflow (epsilon(p)) in Australia is about 2.0-3.5 (observed in about 70% of the catchments), that is, a 1% change in mean annual rainfall results in a 2.0-3.5% change in mean annual streamflow. The rainfall elasticity of streamflow is strongly correlated to runoff coefficient and mean annual rainfall and streamflow, where streamflow is more sensitive to rainfall in drier catchments, and those with low runoff coefficients. There is a clear relationship between the epsilon(p) values estimated using the hydrological modelling approach and those estimated using the nomparametric estimator for the 219 catchments, although the values estimated by the hydrological modelling approach are, on average, slightly higher. The modelling approach is useful where a detailed study is required and where there are sufficient data to reliably develop and calibrate a hydrological model. The nonparametric estimator is useful where consistent estimates of the sensitivity of long-term streamflow to climate are required, because it is simple to use and estimates the elasticity directly from the historical data. The nonparametric method, being model independent, can also be easily applied in comparative studies to data sets from many catchments across large regions.
引用
收藏
页码:613 / 625
页数:13
相关论文
共 16 条
  • [1] *AUSTR BUR MET, 2001, CLIM ATL AUSTR EV
  • [2] Boughton W., 2003, 0315 COOP RES CTR CA
  • [3] A spatiotemporal model for downscaling precipitation occurrence and amounts
    Charles, SP
    Bates, BC
    Hughes, JP
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1999, 104 (D24) : 31657 - 31669
  • [4] Chiew F. H. S., 2002, Mathematical models of small watershed hydrology and applications, P335
  • [5] ASSESSING THE ADEQUACY OF CATCHMENT STREAMFLOW YIELD ESTIMATES
    CHIEW, FHS
    MCMAHON, TA
    [J]. AUSTRALIAN JOURNAL OF SOIL RESEARCH, 1993, 31 (05): : 665 - 680
  • [6] Modelling the impacts of climate change on Australian streamflow
    Chiew, FHS
    McMahon, TA
    [J]. HYDROLOGICAL PROCESSES, 2002, 16 (06) : 1235 - 1245
  • [7] CHIEW FHS, 2003, P INT C MOD SIM MODS, V1, P154
  • [8] Intergovernmental Panel on Climate Change, 2012, MAN RISKS EXTR EV DI, DOI [10.1017/9781009157926, DOI 10.1017/9781009157926]
  • [9] Using spatial interpolation to construct a comprehensive archive of Australian climate data
    Jeffrey, SJ
    Carter, JO
    Moodie, KB
    Beswick, AR
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2001, 16 (04) : 309 - 330