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Dynamics of River Flow Regimes Viewed through Attractors

机译：通过吸引者观察河流流域动态

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The hydrological system is extremely complex. To get insight into its behaviour and possible future states it is important to assess not only its individual components but also consider their interaction. Studying the hydrological system in its context allows focusing on the inherent patterns of its behaviour and search for external rules of its functioning. Changing climate can alter the seasonality of river flow, increasing the frequency of some patterns and decreasing that of the other, which can be adequately described in probabilistic terms. Dimensionality reduction facilitates to discern the patterns present in high dimensional systems. The approach suggested herein allows studying the dynamics of river flow seasonality patterns in the context of the present hydrological system in terms of the probability density functions of the weight coefficients in the reduced phase space, using Principal Components for dimensionality reduction. The approach is presented on the example of a large sample of monthly runoff series for Scandinavia and France, which gives a possibility to identify some common features in the dynamics of seasonality of river flow across a vast region of Europe.
机译：水文系统极为复杂。要了解其行为和可能的未来状态，不仅要评估其各个组成部分，还要考虑它们的相互作用，这一点很重要。在其背景下研究水文系统可以专注于其行为的内在模式并寻找其功能的外部规则。气候变化可以改变河流流量的季节性，增加某些模式的频率，减少其他模式的频率，这可以用概率来充分描述。降维有助于识别高维系统中存在的模式。本文提出的方法允许使用主分量进行降维，根据缩小相空间中权重系数的概率密度函数，在当前水文系统的背景下研究河流流量季节性模式的动态。该方法以斯堪的纳维亚半岛和法国的每月径流量系列的大样本为例，这使我们有可能在整个欧洲广大地区确定河流季节性变化的一些共同特征。

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