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RAINFALL TREND ANALYSIS USING NON PARAMETRIC TEST AND SATELLITE DATA OF PAURI GARHWAL DISTRICT OF UTTARAKHAND, INDIA

Journal: International Journal of Advanced Research in Engineering and Technology (IJARET) (Vol.11, No. 09)

Publication Date:

Authors : ;

Page : 1098-1107

Keywords : climate change; precipitation; non-parametric test; Sen’s slope.;

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Abstract

The objective was to study seasonal trend in rainfall data. Monthly rainfall data of 40 year (1980 to 2019) was used to calculate seasonal trend using Mann-Kendall non parametric test at 5% level of significance. The year was divided into four season as winter season, pre-monsoon season, monsoon season and post-monsoon season as per Indian Metrological Department (IMD) guidelines. Sen Slope estimator was used to calculate magnitude of trend at 5% level of significance. The result show that the winter season has significant increasing trend whereas post-monsoon show significant negative. This study will improve the understanding about the rainfall trend in the studied area and useful to different stakeholders.

Last modified: 2021-02-20 20:06:58