ISSN (0970-2083)

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Research Article Open Access

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

Abstract

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.

SATHYANATHAN RANGARAJAN, DEEPTHA THATTIA, ARUN SUBBIAH, ABHISHEK CHERUKURI, TANMOY AKASH BORAH AND JOEL KUNCHERIA JOSEPH

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