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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:4, April, 2020

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(4): 2707-2717
DOI: https://doi.org/10.20546/ijcmas.2020.904.321


Parametric and Non-parametric Trend Analysis of Precipitation for Malkangiri
Kanhu Charan Panda1, Subodh Hanwat1*, Ramesh Verma1 and Gaurav Sharma2
1Department of Farm Engineering, Institute of Agricultural Sciences, BHU, Varanasi, UP-221005, India
2National Institute of Hydrology, Bhopal, MP – 462016, India
*Corresponding author
Abstract:

The present study is mainly concerned with the changing trend of rainfall in a district of Odisha. We have given an effort to analyse one of the most important climatic variable, i.e., precipitation, for analysing the rainfall trend in the area. Daily rainfall data of 102 years from 1901 to 2002 has been processed in the study to find out the monthly variability of rainfall for which the Mann-Kendall (MK) test has been used together with the Sen’s Slope Estimator for the determination of trend and slope magnitude. A monthly precipitation trend has been identified here to achieve the objective, which has been shown with 102 years of data. There are rising rates of precipitation in some months and a decreasing trend in some other months obtained by these statistical tests suggesting overall insignificant changes in the area.


Keywords: Climate change, Trend analysis, Parametric, Non-parametric, Mann-Kendall test and Sen’s slope

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How to cite this article:

Kanhu Charan Panda, Subodh Hanwat, Ramesh Verma and Gaurav Sharma. 2020. Parametric and Non-parametric Trend Analysis of Precipitation for Malkangiri.Int.J.Curr.Microbiol.App.Sci. 9(4): 2707-2717. doi: https://doi.org/10.20546/ijcmas.2020.904.321
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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