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Mann-Kendall, and Sen’s Slope Estimators for Precipitation Trend Analysis in North-Eastern States of India

by Neel Kamal, Sanjay Pachauri
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 11
Year of Publication: 2019
Authors: Neel Kamal, Sanjay Pachauri
10.5120/ijca2019919453

Neel Kamal, Sanjay Pachauri . Mann-Kendall, and Sen’s Slope Estimators for Precipitation Trend Analysis in North-Eastern States of India. International Journal of Computer Applications. 177, 11 ( Oct 2019), 7-16. DOI=10.5120/ijca2019919453

@article{ 10.5120/ijca2019919453,
author = { Neel Kamal, Sanjay Pachauri },
title = { Mann-Kendall, and Sen’s Slope Estimators for Precipitation Trend Analysis in North-Eastern States of India },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2019 },
volume = { 177 },
number = { 11 },
month = { Oct },
year = { 2019 },
issn = { 0975-8887 },
pages = { 7-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number11/30940-2019919453/ },
doi = { 10.5120/ijca2019919453 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:45:34.361733+05:30
%A Neel Kamal
%A Sanjay Pachauri
%T Mann-Kendall, and Sen’s Slope Estimators for Precipitation Trend Analysis in North-Eastern States of India
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 11
%P 7-16
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The cause of climate change detection is very tedious and complex phenomenon. For the purpose, the behaviour identification of climatic variable using long term historical database is very important. In present study, highlights the climatic variability has been identified using the non-parametric Mann-Kendall, and Sen’s slope estimators over north-eastern region of India. In this study long term precipitation data has been considered during 1901-2015. The non-parametric tests have been tested at the 5% level of significance. The non-parametric tests were applied at eight north-eastern states i.e., Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland, Tripura and West-Bengal of India. This type of study is very necessary for long-term agricultural and water resources planning of the states.

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Index Terms

Computer Science
Information Sciences

Keywords

Mann-Kendall test Sen’s slope estimators North-Eastern states Climate Change

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