Climate change has affected the climatic parameter characteristics worldwide. Investigations have been carried out by climatologists to find a possible relation of climate change with anthropogenic behavior by studying trends in different climatic parameters. However, the changes are not the same for all regions especially in India due to localized intensity, thus it must be quantified locally to manage the natural resources. Temperature, one of the most important components of climatic parameter, has been widely measured as a starting point towards the apprehension of climate changes courses. The main purpose of this study is to observe the temporal variability of temperature for the period of 1901-2002 (102 years), to improve the hydrological status of Upper Ganga Canal Command located in Uttar Pradesh and Uttarakhand as well as to determine trend in annual mean and monthly Temperature time series using nonparametric methods (i.e. the Mann–Kendall and Sen’s Slope tests). The magnitudes of trend in a Temperature time series have been estimated by Sen’s estimator method. Auto correlation effect is reduced from the Temperature series before the application of the Mann–Kendall test. On annual basis, the analysis of Mann–Kendall test shows increasing (positive) non-significance trend in temperature time series over Upper Ganga Canal Command. Thus, in the study area, the temperature is increasing, which leads to the increment in evaporation, warmer days and nights in summer.
Advances in Water Resource and Protection – Science and Engineering Publishing Company
Published: Jul 1, 2013
Keywords: Temperature; Non-Parametric Tests; Trend Analysis; Auto Correlation; Mann–Kendall and Sen’s T Tests