土耳其黑海西部Bartın省气温和降水序列月、季、年变化点探测及趋势分析

IF 0.4 Q4 ENVIRONMENTAL SCIENCES
B. Yaman, M. Ertuğrul
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引用次数: 2

摘要

在全球气候危机中,与气候变化和变率相关的研究在全球和局部尺度上都具有重要意义。本研究对位于土耳其黑海西部地区巴尔丁省的平均、最高、最低气温和总降水量进行了基于月、季、年尺度的变化点检测和趋势分析。为此,我们使用4种不同的同质性检验(von Neumann检验、Pettitt检验、Buishand极差检验和标准正态同质性检验)进行变化点检测,使用修正Mann-Kendall检验和Şen的创新趋势检验进行趋势分析,使用Sen的斜率检验进行趋势的幅度估计。根据检验结果,特别是夏季气温在0.001显著水平上呈上升趋势。8月平均最高气温、6月和8月平均最低气温、7月和8月平均气温均呈上升趋势,均达到0.001显著水平。在巴尔丁省51年(1965-2015)期间,根据森氏斜率,每十年气温变化率最高的是8月份(最高气温0.55°C,最低气温0.46°C,平均气温0.43°C)。但研究表明,除10月降水量外,巴尔丁地区月、季、年降水量均无显著变化趋势。在Şen的创新趋势方法中,上述气候变量的增加趋势在视觉上也非常清晰和强烈,并且符合统计结果。因此,这项研究揭示了一些证据,表明未来巴尔丁及其周边地区的气温将会上升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Change-point detection and trend analysis in monthly, seasonal and annual air temperature and precipitation series in Bartın province in the western Black Sea region of Turkey
Studies associated with climate change and variability are of great importance at both the global and local scale in the global climate crisis. In this study, change-point detection and trend analysis were carried out on mean, maximum, minimum air temperatures and total precipitation based on monthly, seasonal and annual scale in Bartin province located in the western Black Sea Region of Turkey. For this aim, 4-different homogenei - ty tests (von Neumann test, Pettitt test, Buishand range test and standard normal homogeneity test) for change- point detection, Modified Mann–Kendall test and Şen’s innovative trend test for trend analysis, and Sen’s slope test for the magnitude estimation of trends were used. According to the test results, the summer temperatures in particular show increasing trends at the 0.001 significance level. Mean maximum temperature in August, mean minimum temperature in June and August, and mean temperature in July and August are in increasing trend at the 0.001 significance level. Over a 51 year period (1965–2015) in Bartin province, the highest rate of change per decade in air temperatures is in August (0.55°C for T max , 0.46°C for T min and 0.43°C for T mean ) based on Sen’s slope. However, the study showed that apart from October precipitation, there is no significant trend in monthly, seasonal and annual precipitation in Bartin. Increasing trends in mentioned climate variables are also visually very clear and strong in Şen’s innovative trend method, and they comply with the statistical results. As a result, the study revealed some evidence that temperatures will increase in the future in Bartin and its environs.
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