Application of Mann Kendall Trend Test and Sen’s Slope Estimator to Hydrological Data

This paper is mainly concerned with Statistical analysis of the trend of hydrological data viz. rainfall data. The rainfall trend of a region plays a vital role in the charm of its climatic situation in respect of tourism as well as local livelihood. In this case study the monthly rainfall data mm of 67 years 1951 to 2017 of the Lakshadweep meteorological subdivision has been processed to analyze its trend by nonparametric Statistical analysis. The Mann Kendall trend test and the Sen's Slope estimator are used to determine the monotonic trend of rainfall and its magnitude respectively. In this study, monthly and average annual trends have been considered. Winter, pre monsoonal, monsoonal, post monsoonal trend are taken into consideration. In this paper, results show the average annual rainfall is 130.67 mm whereas for winter season, pre monsoon season, monsoon season and post monsoon season, the average rainfall are 29.95 mm, 70.36 mm, 249.09 mm and 135.39 mm respectively. The trend of average annual rainfall is significantly upward, i.e. increasing similar to winter season and monsoon season. The decreasing trend is found in pre monsoon and post monsoon seasons. The impact of rainfall on local livelihood is also discussed here. R Version 3.6.1 Statistical software is used for analysis purposes. Amartya Bhattacharya "Application of Mann-Kendall Trend Test & Sen's Slope Estimator to Hydrological Data" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-5 , August 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50474.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/enviormental-science/50474/application-of-mannkendall-trend-test-and-sen's-slope-estimator-to-hydrological-data/amartya-bhattacharya