Flood variability east of Australia's Great Dividing Range

被引:71
作者
Rustomji, Paul [1 ]
Bennett, Neil [1 ]
Chiew, Francis [1 ]
机构
[1] CSIRO Land & Water, Canberra, ACT 2601, Australia
关键词
Flood variability; Australia; Bootstrap; Flood frequency; L-moments; Power law scaling; SOUTHERN-OSCILLATION; COAST CYCLONES; L-MOMENT; FREQUENCY; STREAM; RIVER; RAINFALL; STATISTICS; ENSO;
D O I
10.1016/j.jhydrol.2009.06.017
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The variability of flow in river channels influences the spatial and temporal variability of many biophysical processes including the transport of sediment and waterborne pollutants and the recruitment of aquatic animals and plants. In this study, inter- and intra-basin patterns of flood variability are examined for catchments east of Australia's Great Dividing Range. Three measures of flood variability are explored with uncertainty quantified using bootstrap resampling. The two preferred measures of flood variability (namely a flood quantile ratio and a power law scaling coefficient) produced similar results. Catchments in the wet tropics of far north Queensland experience low flood variability. Flood variability increased southwards through Queensland, reaching a maximum in the vicinity of the Fitzroy and Burnett River basins. The small near-coast catchments of southern Queensland and northern New Wales experience low flood variability. Flood variability is also high in the southern Hunter River and Hawkesbury-Nepean basins. Using L-moment ratio diagrams with data from 424 streamflow stations, we also conclude that the Generalised Pareto distribution is preferable for modelling flood frequency curves for this region. These results provide a regional perspective that can be used to develop new hypotheses about the effects of hydrologic variability on the biophysical characteristics of these Australian rivers. Crown Copyright (C) 2009 Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:196 / 208
页数:13
相关论文
共 47 条
[1]  
[Anonymous], 1994, An introduction to the bootstrap: CRC press
[2]  
[Anonymous], 2005, R LANG ENV STAT COMP
[3]  
ASQUITH WH, 2007, IMOMCO L MOMENTS TRI
[4]  
BAKER VR, 1977, GEOL SOC AM BULL, V88, P1057, DOI 10.1130/0016-7606(1977)88<1057:SRTFWE>2.0.CO
[5]  
2
[6]  
*BUR MET, 2007, ANN AUSTR CLIM STAT
[7]   El Nino Southern Oscillation and Australian rainfall, streamflow and drought: Links and potential for forecasting [J].
Chiew, FHS ;
Piechota, TC ;
Dracup, JA ;
McMahon, TA .
JOURNAL OF HYDROLOGY, 1998, 204 (1-4) :138-149
[8]   Global ENSO-streamflow teleconnection, streamflow forecasting and interannual variability [J].
Chiew, FHS ;
McMahon, TA .
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2002, 47 (03) :505-522
[9]   UNBIASED PLOTTING POSITIONS - REVIEW [J].
CUNNANE, C .
JOURNAL OF HYDROLOGY, 1978, 37 (3-4) :205-222
[10]  
Erskine W., 1993, Australian Journal of Soil and Water Conservation, V6, P35