Wavelet analysis of rainfall-runoff variability isolating climatic from anthropogenic patterns
Wavelet analysis of rainfall-runoff variability isolating climatic from anthropogenic patterns
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DOI：
10.1016/s1364-8152(98)00080-2
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发表时间：
1999-01-01
影响因子：
4.9
通讯作者：
Nakken, M
中科院分区：
文献类型：
--
作者：
Nakken, M
利用连续小波变换（CWTs）识别降雨和径流的时间变化及其关系。将小波分析应用于澳大利亚新南威尔士州中西部的start河上游流域的Peak Hill和Neurie Plains的降雨和径流记录，以及大尺度环流指数SOI。正在开发一种利用小波分析的方法，通过使用SOI相关性来识别和分离水文记录的“自然”气候成分，以及区分其他非平稳趋势，如人为土地利用变化，对径流记录的影响。Morlet小波分析结果表明，降雨和径流的变化及其关系随时间的变化而变化。小波频谱分析显示了自20世纪50年代以来主导频率的变化。气候引起的流域响应在短时间尺度上（1911-1996年期间27-32个月）。20世纪50年代以后，SOI与降水的关系更为密切，主要出现在27个月。非平稳、多尺度时间序列分析在洪泛区管理和开发决策、保险行业和工程领域都很重要，可以通过识别过去的变化、检测河流对气候变化的响应，以及帮助预测未来的洪水和干旱。1999爱思唯尔科学有限公司版权所有。
Continuous wavelet transforms (CWTs) are used to identify the temporal variability of rainfall and runoff and their relationship. The wavelet analysis is applied to rainfall and runoff records from Peak Hill and Neurie Plains, in the upper Began River catchment in central western New South Wales, Australia, as well as to the large-scale circulation index SOI. A method utilising wavelet analysis is being developed to identify and isolate the 'natural' climatic components of the hydrological record, by using SOI correlations, as well as to distinguish the influence of other non-stationary trends, such as anthropogenic land use changes, on runoff records over time. Results using the Morlet wavelet show that the variability of both rainfall and runoff as well as their relationship has changed over time. A wavelet spectrum analysis shows a change in dominant frequency since the 1950s. Climate induced catchment response is at short time scales (27-32 months over the time period 1911-1996). The relationship between the SOI and rainfall is stronger from the 1950s onwards, with a dominant frequency of SOI at 27 months. The non-stationary, multiscale time series analysis could be important in floodplain management and development decisions, for the insurance industry, and in engineering, by identifying past changes, by detecting streamflow response to climate changes, and by aiding in future flood and drought predictability. (C) 1999 Elsevier Science Ltd. All rights reserved.