Abstract
In recent years, climate change has impacted globally in the form of increased precipitation, rising temperature and sea level, and withdrawal of glaciers, among others. Kancheepuram district falls under the northeastern agroecological zones of Tamil Nadu. Agriculture is the main occupation and is mainly dependent on the monsoon. Since the potential agricultural yields are predicted to decrease for the projected increase in temperature, the aim of the present study is to investigate potential trends in 102 years of temperature. The statistical analyses have been carried out to detect change point if any and the possible trend in monthly, seasonal, and annual historical series of minimum and maximum temperatures between the years 1901 and 2002. The most commonly used Mann–Kendall test and Sen’s slope estimator test are used to detect the trend in the time series. Pettitt’s test, standard normal homogeneity test are applied to detect possible change points.
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References
Buhairi Al, M.H.: Analysis of monthly, seasonal and annual air temperature variability and trends in Taiz city—Republic of Yemen. J. Environ. Prot. 1, 401–409 (2010)
Smadi, M.M.: Observed abrupt changes in minimum and maximum temperatures in Jordan in the 20th century. Am. J. Environ. Sci. 2(3), 114–120 (2006)
Sivakumar, T., Thennarasu, A., Rajkumar, J.S.I.: Trend analysis of the climatic parameters (2001–2007) for the Northeastern Zone of Tamil Nadu. Int. J. Environ. Sci. Technol. 2(3), 83–86 (2012)
Smadi, M.M., Zghoul, A.: A sudden change in rainfall characteristics in Amman, Jordan during the mid 1950’s. Am. J. Environ. Sci. 2(3), 84–91 (2006)
De, U.S., Dube, R.K., Prakasa Rao, G.S.: Extreme weather events over India in the last 100 years. J. Ind. Geophys. Union 9(3), 173–187 (2005a)
Gallagher, C., Lund, R., Robbins, M.: Change point detection in climate time series with long-term trends. J. Clim. 26, 4994–5006 (2012). https://doi.org/10.1175/JCLI-D-12-00704.1
Hipel, K.W., McLoed, A.I.: Time series modelling of water resources and environmental systems. Elsevier, Amsterdam (1994)
Mondal, A., Khare, D., Kundu, S.: Spatial and temporal analysis of rainfall and temperature trend of India. Theor. Appl. Climatol. 122, 143–158 (2015)
Karmeshu, N.: Trend detection in annual temperature and precipitation using the Mann Kendall Test—a case study to assess climate change on select states in the Northeastern United States. Master of Environment Studies Capstone project, University of Pennsylvania USA (2012) http://repository.upenn.edu/mes_capstones/47
Libiseller, C., Grimvall, A.: Performance of partial Mann-Kendall Tests for trend detection in the presence of covariates. Environmetrics 13, 71–84 (2002). https://doi.org/10.1002/env.507
Menne, J.M., Williams, C.N.J.: Detection of undocumented change points using multiple test statistics and composite reference series. J. Clim. 18, 4271–4286 (2005)
Pettitt, A.N.: A non-parametric approach to the change-point problem. Appl. Stat. 28, 126–135 (1979)
Yue, S., Pilon, P.: A comparison of the power of the t test, Mann-Kendall and Bootstrap Tests for trend detection. Hydrol. Sci. J. 49(1), 21–37 (2004)
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Rangarajan, S., Thattai, D., Jaiswal, U., Chaurasia, N. (2019). Statistical Analysis of Long-Term Temporal Trends of Temperature During 1901–2002 at Kancheepuram in Tamil Nadu (India). In: Rathinasamy, M., Chandramouli, S., Phanindra, K., Mahesh, U. (eds) Water Resources and Environmental Engineering II. Springer, Singapore. https://doi.org/10.1007/978-981-13-2038-5_4
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DOI: https://doi.org/10.1007/978-981-13-2038-5_4
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