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TEMPERATURE TREND ANALYSIS USING NONPARAMETRIC TEST: A CASE STUDY OF COIMBATORE CITY

机译:基于非参数检验的温度趋势分析:以康巴托尔市为例

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Livelihoods of people, socio economic development and biodiversity as a whole are affected due to rise in temperature. In this study temperature trend analysis is studied for the Coimbatore district, which witnessed a speedy industrial and business growthfrom the 1920s. Well established nonparametric tests like Mann-Kendall, Sen’s slope and Pettitt’s test are applied to the maximum and minimum temperatures to find the nature of trend and detect the change point. The result of the analysis confirmed an increasing trend in both minimum and maximum temperatures in all the months and seasons post 1950.
机译:气温升高会影响人们的生活,社会经济发展和整个生物多样性。在这项研究中,对Coimbatore地区的温度趋势分析进行了研究,该地区见证了1920年代工业和商业的快速增长。完善的非参数测试(例如Mann-Kendall,Sen的斜率和Pettitt的测试)应用于最高和最低温度,以发现趋势的本质并检测变化点。分析结果证实,自1950年以来,所有月份和季节的最低和最高温度均呈上升趋势。

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