What drives high flow events in the Swiss Alps? Recent developments in wavelet spectral analysis and their application to hydrology
What drives high flow events in the Swiss Alps? Recent developments in wavelet spectral analysis and their application to hydrology
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DOI：
10.1016/j.advwatres.2007.06.004
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发表时间：
2007-12
影响因子：
4.7
通讯作者：
B. Schaefli;D. Maraun;M. Holschneider
中科院分区：
文献类型：
--
作者：
B. Schaefli;D. Maraun;M. Holschneider
极端水文事件往往是由相关水文气象过程的异常协变触发的，特别是由各种时间尺度的异常协变触发的。小波和交叉小波谱分析为检测和分析这种特殊的协同振荡提供了很有前途的时间尺度分辨分析方法。本文介绍了小波谱分析的最新方法，讨论了相关的微妙之处、潜在的陷阱和最近开发的克服它们的解决方案，并展示了小波谱分析如何与严格的显著性检验相结合，为现实世界的应用带来对水文气象过程的可靠的新见解。所提出的方法被应用于检测高阿尔卑斯山集水区潜在的洪水触发情况，对于该集水区，最近对设计洪水的重新估计遇到了模拟观测高流量的严重问题。在这一案例研究中，降水、温度和流量的小波谱分析提供了一种强大的工具，有助于检测潜在的洪水产生的气象情况，并根据当前的关键水文气象条件区分不同类型的洪水。这为模型性能分析开辟了新的视角，重点分析了不同类型的高流量事件的发生和不发生。在此基础上，对小波谱分析在水文学中的应用提出了重要建议。
Extreme hydrological events are often triggered by exceptional co-variations of the relevant hydrometeorological processes and in particular by exceptional co-oscillations at various temporal scales. Wavelet and cross wavelet spectral analysis offers promising time-scale resolved analysis methods to detect and analyze such exceptional co-oscillations. This paper presents the state-of-the-art methods of wavelet spectral analysis, discusses related subtleties, potential pitfalls and recently developed solutions to overcome them and shows how wavelet spectral analysis, if combined to a rigorous significance test, can lead to reliable new insights into hydrometeorological processes for real-world applications. The presented methods are applied to detect potentially flood triggering situations in a high Alpine catchment for which a recent re-estimation of design floods encountered significant problems simulating the observed high flows. For this case study, wavelet spectral analysis of precipitation, temperature and discharge offers a powerful tool to help detecting potentially flood producing meteorological situations and to distinguish between different types of floods with respect to the prevailing critical hydrometeorological conditions. This opens very new perspectives for the analysis of model performances focusing on the occurrence and non-occurrence of different types of high flow events. Based on the obtained results, the paper summarizes important recommendations for future applications of wavelet spectral analysis in hydrology.