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Evolution of low flows in Czechia revisited

机译:回顾捷克流向低流量的演变

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Although a nationwide study focusing on the evolution of low flows in Czechia was conducted in the past, a need for the revision of the results has arisen. By means of the trend analysis, which specifically considers the presence of significant serial correlation at the first lag, the former study highlighted areas where 7-day low flows increase or decrease. However, taking into account only the lag-one autoregressive process might still have led to the detection of so-called pseudo-trends because, besides short-term persistence, also long-term persistence may adversely influence the variance of the test statistic when the independence among data is required. Therefore, one should carefully investigate the presence of persistence in time series. Before the trend analysis itself, the authors' previous studies aimed at the discrimination between short memory processes and long memory processes employing jointly the Phillips-Perron test and the Kwiatkowski-Phillips-Schmidt-Shin test. This analysis was accompanied by the Hurst exponent estimation. Here, the subsequent identification of trends is carried out using three modifications of the Mann-Kendall test that allow different kinds of persistence. These include the Bayley-Hammersley-Matalas-Langbein-Lettenmaier equivalent sample size approach, the trend-free pre-whitening approach and a block bootstrap with automatic selection of the block length, which was applied for the first time in hydrology. The general results are similar to those presented in the former study on trends. Nevertheless, the divergent minimum discharges evolution in the western part of Czechia is now much clear. Moreover, no significant increasing trend in series incorporating Julian days was found.
机译:尽管过去曾在捷克共和国进行过一项针对低流量演变的全国性研究,但仍需要对结果进行修订。通过趋势分析,该趋势分析特别考虑了初次滞后时存在明显的序列相关性,前一项研究强调了7天低流量增加或减少的区域。但是,仅考虑滞后一自回归过程可能仍会导致检测到伪趋势,因为除了短期持久性外,长期持久性还可能不利地影响检验统计量的方差。数据之间的独立性是必需的。因此,应该仔细研究时间序列中是否存在持久性。在进行趋势分析之前,作者先前的研究旨在通过使用Phillips-Perron检验和Kwiatkowski-Phillips-Schmidt-Shin检验来区分短存储过程和长存储过程。该分析伴随着赫斯特指数估计。在这里,趋势的后续识别是通过对Mann-Kendall检验的三种修改进行的,这些修改允许不同类型的持久性。这些方法包括Bayley-Hammersley-Matalas-Langbein-Lettenmaier等效样本量方法,无趋势的预增白方法以及具有自动选择区块长度的区块自举程序,该方法首次在水文学中应用。总体结果与以前的趋势研究结果相似。尽管如此,德意志西部的最小排放量变化情况现在已经很清楚了。此外,未发现纳入朱利安天数的系列有显着增加趋势。

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