TEMPERATURE TREND ANALYSIS USING NONPARAMETRIC TEST: A CASE STUDY OF COIMBATORE CITY SATHYANATHAN RANGARAJAN *, DEEPTHA THATTIA, ARUN SUBBIAH, ABHISHEK CHERUKURI, TANMOY AKASH BORAH AND JOEL KUNCHERIA JOSEPH Department of Civil Engineering, SRM University, Kattankulathur, TN 603203, India (Received 11 July, 2017; accepted 24 October, 2017) Key words: Ultra High Performance Concrete (UHPC), Hybrid steel fber, Compressive strength, Flexural strength, Load – Defection Relationship, Stress-strain relationship modulus of elasticity, Modulus of toughness, Ductility of UHPC Jr. of Industrial Pollution Control 33(S3)(2017) pp 1393-1400 www.icontrolpollution.com Research Article *Corresponding authors email: sathyanathan.r@ktr.srmuniv.ac.in INTRODUCTION Population growth, industrialization, and global warming are the root cause for rise in temperatures (IPCC, 2013; Rao, et al., 2016) There has been a drastic change in global climatic conditions in recent years. Global land evapotranspiration infuence the variation in land precipitation (Qian, et al., 2006) which results in frequent extreme weather events and risks (Briffa, et al., 2009; Vasiliades, et al., 2009). Many have studied and analyzed the trends in long term temperature, its interannual, seasonal and decadal variability by using different nonparametric tests (Bhutiyani, et al., 2008; Jaiswal, et al., 2015; Jagannathan and Parthasarathy, 1973; Xavier, 2006; Wijngaard, et al., 2003). Though various statistical methods are employed by researchers for analyzing trends and change point detection, nonparametric methods are preferred over parametric ones. Since parametric tests are mostly appropriate for normally distributed data, if the assumed data distribution deviates considerably from the standard, then the nonparametric test gives much better results that the parametric one (Hirsch, et al., 1992; Pettitt, 1979). In this study, the trend and change point detection is examined for theminimum and maximum temperature series of Coimbatore district by employing different nonparametric tests. Man- Kendall’s test and Sen’s slope test are used for trend analysis and Pettitt’s test is employedfor change point detection. STUDY AREA Coimbatore district is situated in the northwestern part of Tamil Nadu. It lies between 10°13'4" North and 11° 24'5" North latitudes and 76°39'25" East and 77°18'26" East longitudes. It is one among the industrially developed and commercially vibrant districts of Tamil Nadu. The district is situated on the banks of river Noyyal, a tributary of the river Cauveryand is bounded by Tiruppur district in the east, Nilgiris district in the north, Erode district in the northeast, Palghat district and Idukki district of the neighboring state of Kerala in the west and south, 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 fnd the nature of trend and detect the change point. The result of the analysis confrmed an increasing trend in both minimum and maximum temperatures in all the months and seasons post 1950.