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首页> 外文期刊>International journal of applied mechanics >Combined Use of Graphical and Statistical Approaches for Analyzing Historical Precipitation Changes in the Black Sea Region of Turkey
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Combined Use of Graphical and Statistical Approaches for Analyzing Historical Precipitation Changes in the Black Sea Region of Turkey

机译:结合图解和统计方法分析土耳其黑海地区的历史降水变化

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摘要

Many statistical methods have been developed and used over time to analyze historical changes in hydrological time series, given the socioeconomic consequences of the changes in the water cycle components. The classical statistical methods, however, rely on many assumptions on the time series to be examined such as the normality, temporal and spatial independency and the constancy of the data distribution over time. When the assumptions are not fulfilled by the data, test results are not reliable. One way to relax these cumbersome assumptions and credibilize the results of statistical approaches is to make a combined use of graphical and statistical methods. To this end, two graphical methods of the refined cumulative sum of the difference between exceedance and non-exceedance counts of data points (CSD) and innovative trend analyses (ITA)-change boxes alongside the classical statistical Mann-Kendall (MK) method are used to analyze historical precipitation changes at 16 stations during 1960-2015 in the Black Sea region of Turkey. The results show a good match between the results of the graphical and statistical methods. The graphical CSD and ITA methods, however, are able to identify the hidden trends in the precipitation time series that cannot be detected using the statistical MK method.
机译:考虑到水循环组分变化的社会经济后果,已经开发出了许多统计方法并随着时间的推移分析水文时间序列中的历史变化。然而,经典的统计方法依赖于要检查的时间序列的许多假设,例如正常性,时间和空间独立性以及数据分布的恒定随时间的恒定。当数据不通过数据满足时,测试结果不可靠。一种放松这些繁琐的假设并使统计方法的结果放松的一种方法是结合图形和统计方法的结合使用。为此,两种图形方法的超出和非超越数据点(CSD)和创新趋势分析(ITA)与经典统计MANN-KENDALL(MK)方法旁边的差异之间的精致累积差异和创新趋势分析(ITA)的差异用于分析土耳其黑海地区1960 - 2015年16个站的历史降水变化。结果显示了图形和统计方法结果之间的良好匹配。然而,图形CSD和ITA方法能够使用统计MK方法识别无法检测到无法检测到的降水时间序列中的隐藏趋势。

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