Researching trends of rainfall change in Ninh Thuan in the context of climate change by the non-parametric method

Tuan Hoang Nguyen Truong Thanh Canh

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VNUHCM Journal of
Natural Sciences
An official journal of Viet Nam National University Ho Chi Minh City, Viet Nam
ISSN 2588-106X

Abstract
The purpose of this study is to analyze the trend of precipitation change in Ninh Thuan province in the context of Climate Change. In this study, the authors used precipitation data at rain gauges with a minimum duration of 24 years and a maximum of 36 years. The main method was used in this study is the non-parametric method, namely Mann-Kendall analysis and the Theil-Sen slope. The research was conducted under the support of ProULC 5.1 and MAKESEN 1.0 software. The results showed that annual rainfall in Ninh Thuan province tended to increase in the time series of observation. Specifically, the downward trend of rainfall was mainly in March and increased from July to November. Along with that, through the index regarding the trend of increase and decrease of rainfall, the study also showed a prediction of the trend of increasing rainfall for the area. Forecast results of 2035 rainfall in Ninh Thuan the highest the increase is expected 7.7% and in 2050 is 13.8%. The study results have reflected the actual situation of rainfall change in the context of climate change with the stations having statistical significance (p <0.05). The research results are the basis for Ninh Thuan province to develop solutions to adapt and mitigate climate change in the fields of Socio-Economic life.

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Article Details
Issue: Vol 5 No 1 (2021)
Page No.: 957-968
Published: Jan 26, 2021
Section: Original Research
DOI: https://doi.org/10.32508/stdjns.v5i1.939
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 Author's Affiliation
Tuan Hoang Nguyen
University of Science, VNU.HCM, Vietnam
Email I'd for correspondance: nhtuansg@gmail.com
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Truong Thanh Canh
University of Science, VNU.HCM, Vietnam
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 Article Details

Issue: Vol 5 No 1 (2021)
Page No.: 957-968
Published: Jan 26, 2021
Section: Original Research
DOI: https://doi.org/10.32508/stdjns.v5i1.939

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Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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