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Exploratory data analysis on the Upper-Tisza section using single and multi-variate data analysis methods

机译:使用单变量和多变量数据分析方法在上提萨区进行探索性数据分析

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摘要

Abstract udThe River Tisza is one of Central Europe's most important rivers. In the last one and a half century numerous anthropogenic activities have influenced its watershed. As a result measures need to be taken to protect its water quality, necessitating a comprehensive picture of the spatial and temporal variability of its processes, which this study aims to extend further. In this study five sampling locations were analyzed in the upper section of the Tisza over the time interval 1974–2005, dealing with 24 parameters using multi-variate data analysis methods. Employing time series analysis and taking the river's tributaries into account, the strong influence of the River Szamos was pointed out, while stochastic connections indicated the influence of the Tiszalök Water Barrage System on the spatial variation of the Tisza's processes. Finally, by using principal component analysis (PCA), the different background factors were revealed in space and time (seasonal separation) as well. During summer the processes tended to be nitrogen-related, while during winter inorganic compounds play a greater role. Most importantly, spatial variety was observable in the factors.ud
机译:摘要 ud蒂萨河是中欧最重要的河流之一。在过去的一个半世纪中,许多人为活动影响了它的分水岭。因此,需要采取措施来保护其水质,因此必须全面了解其过程的时空变化,本研究旨在对此进行进一步扩展。在这项研究中,在1974-2005年的时间间隔中,分析了Tisza上部的五个采样位置,使用多变量数据分析方法处理了24个参数。运用时间序列分析并考虑了河流的支流,指出了萨摩斯河的强大影响力,而随机联系表明了蒂萨洛克水弹幕系统对蒂萨河过程空间变化的影响。最后,通过使用主成分分析(PCA),还揭示了时空上不同的背景因素(季节分离)。在夏季,这些过程往往与氮有关,而在冬季,无机化合物起着更大的作用。最重要的是,在这些因素中可以观察到空间变化。 ud

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