Journal of Water Engineering and Management

( International Peer-reviewed Journal )

TEMPORAL TREND ANALYSIS OF TEMPERATURE DATA USING MANN- KENDALL TEST AND SEN’S SLOPE ESTIMATOR

Jyoti Kerketta,
Central University of Jharkhand, India

Ajai Singh
Professor, Department of Water Engineering and Management, Central University of Jharkhand, Brambe, Ranchi, India

Article Information
Received: April 7, 2020
Accepted: April 25, 2020

ABSTRACT

Climate change is one of the most important issues among researchers, scientists,planners and politicians in the present times. Of all the climatic elements,temperature plays a major role in detecting climatic change. In this paper, Mann-Kendall rank tests, Sen’s slope estimator and Lag-one serial correlation are usedto demonstrate any existence of possible temperature trends in Ranchi andLohardaga district of Jharkhand by analyzing the time series data of annual,seasonal and monthly average, maximum and minimum temperature from 1901to 2002. The statistical tests are applied to monthly, seasonal and annual averageminimum and maximum temperatures records. The analysis indicates that theaverage, maximum and minimum annual temperature records have a warmingtrend over the period 1901 to 2002. The study of linear trend indicated increasingtrends in annual maximum, annual minimum and annual average temperatures.During 1901–2002 annual average, annual maximum and annual minimumtemperatures increased about 0.0030C, 0.0020C to 0.0040C and 0.0030Crespectively.

Keywords: Temperature; Time series analysis; Trend analysis; Changedetection; Ranchi and Lohardaga.

 

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