Rainfall Statistical Trend and Variability Detection Using Mann-Kendall Test, Sen’s Slope and Coefficient of Variance - A Case Study of Udaipur District (1957-2016)

Dr. Manish Meena^1,

¹Post-doctoral Fellow, Mohanlal Sukhadia University, Udaipur, Rajasthan, India

Cite this paper:
Dr. Manish Meena. Rainfall Statistical Trend and Variability Detection Using Mann-Kendall Test, Sen’s Slope and Coefficient of Variance - A Case Study of Udaipur District (1957-2016). Applied Ecology and Environmental Sciences. 2020; 8(1):34-37. doi: 10.12691/aees-8-1-5

Abstract

Climate change is a very hot topic nowadays, the impact of climate change on precipitation has attracted most of the scholars everywhere in the world. In this study, an attempt has been made to detect District and tehsil wise trend and variability of rainfall in Udaipur district of Rajasthan state (India) for 60 Years (1957-2016). For detecting the rainfall trend, the widely used, modified Mann-Kendall test was run at 5% significance level on time series data. Sen’s slope and the Coefficient of Variation (CV) was used for detecting trend magnitude and variability analysis respectively. Udaipur is found with positive trend, which means that rainfall in Udaipur has increasing trends over the years. At tehsil level, both increasing and decreasing trends have been observed. According to variability coefficient, 31.1 percent rainfall variability has been found in Udaipur district, whileat tehsil level, it varies between 30-42 percent.

Keywords:
climate rainfall trend variabilityUdaipur

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