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首页> 外文期刊>Journal of hydro-environment research >Uniform discrete wavelet spectrum for detection of hydrologic variability at multiple timescales
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Uniform discrete wavelet spectrum for detection of hydrologic variability at multiple timescales

机译：均匀离散小波谱，用于检测多个时间尺度的水文变异性

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摘要

Detecting the signals of hydrologic variability, including both periodicities and trends, at multi-timescales with evaluation of their statistical significance is one of the primary goals in hydrology studies, but it is also a challenging task. While the discrete wavelet spectrum (DWS) has been widely used to meet this purpose, it has limitations in practical applications, especially with the difficulty in detecting the spatial heterogeneity in hydrologic variability. In this study, a uniform DWS method is developed by determining the spectral values of the reference DWS, which are used as a uniform criterion for significance evaluation to identify hydrologic signals and compare their spatial heterogeneity. Application of the uniform DWS method to three annual runoff (and the corresponding precipitation) time series in the Yarlung Tsangpo River basin indicates that the significance of the runoff variability increases from down- to up-streams. It is shown that the uncertainty becomes large when the variability at small timescales is considered in short hydrologic time series. It is also demonstrated that hydrologic variability at long timescales usually tends to have a non-monotonic trend and that a monotonic trend would misrepresent the true underlying behavior. The uniform DWS method proposed here, by identifying the periodicities, non-monotonic and monotonic trend with significance evaluation, has the potential for a much wider use in hydrologic and climate sciences.
机译：与他们的统计显着性评价检测水文变化的信号，包括周期性和趋势，在多时间尺度是水文研究的主要目标之一，但它也是一个具有挑战性的任务。尽管离散小波谱（DWS）已被广泛使用，以满足此目的，它在实际应用中的限制，特别是与在检测水文变异性的空间异质性的难度。在这项研究中，均匀DWS方法是通过确定参考DWS，这是用来作为均匀准则意义评价，以确定水文信号并比较它们的空间异质性的频谱值发展。统一的应用DWS方法三个年径流量（以及相应的沉淀）在雅鲁藏布江流域时间序列表明，径流变化率从下调到了流的意义。结果表明，当在小时间尺度的变化在短期水文时间序列被认为是不确定性变大。它也表明，在长时间尺度的水文变化通常倾向于具有非单调趋势和单调的趋势会歪曲真实的基础行为。这里提出的统一DWS方法，通过识别周期性，非单调与意义的评价单调趋势，对水文和气候科学的更广泛使用的潜力。

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