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Regional trend detection of Turkish river flows

机译:土耳其河流流量的区域趋势检测

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This paper applies a procedure that identifies trends in hydrologic variables. The procedure utilizes the regional Mann-Kendall non-parametric test with and without both serial and cross-correlation to detect trends. The research investigates 15 streamflow variables including annual minimum, mean, maximum and monthly streamflows for a network of 75 streamflow gauging stations in seven geographical regions of Turkey. A considerable difference was obtained in the assessment of results with and without consideration of serial and cross correlation which might be due to a higher number of serial and cross-correlations among the sites in the geographical regions. Therefore, a quite different interpretation of these trend analyses would have been achieved if the temporal and spatial correlation of the streamflow series within the regions had been ignored. The application of the regional trend detection technique with both considerations has also resulted in the identification of significant decreasing trends in the Marmara, Aegean, Mediterranean and Central Anatolia regions. However, almost no evidence of significant change was observed with a general downward direction in the rest of the country. Besides, there are differences in the geographical regions of significant trends in the fifteen streamflow variables considered which implies that impacts on streamflows are not spatially uniform.
机译:本文采用了确定水文变量趋势的程序。该程序利用区域Mann-Kendall非参数检验(带有或不带有序列和互相关)来检测趋势。这项研究调查了15个流量变量,包括土耳其七个地理区域的75个流量监测站网络的年度最小,平均,最大和每月流量。在不考虑序列和互相关的情况下,结果评估中获得了很大的不同,这可能是由于地理区域内站点之间的序列和互相关的数量更多。因此,如果忽略了区域内水流序列的时间和空间相关性,则将获得对这些趋势分析的完全不同的解释。兼顾这两个因素的区域趋势检测技术的应用还导致了在马尔马拉,爱琴海,地中海和安纳托利亚中部地区的显着下降趋势的识别。但是,几乎没有证据表明该国其他地区总体呈下降趋势。此外,在所考虑的十五种水流变量中,地理区域存在显着趋势的差异,这意味着对水流的影响在空间上是不均匀的。

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