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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 6, Issue:10, October, 2017

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

Int.J.Curr.Microbiol.App.Sci.2017.6(10): 4959-4969
DOI: https://doi.org/10.20546/ijcmas.2017.610.470


Statistical and Trend Analysis of Climate Data of Bapatla (A.P), India
Saurav Srichandan Dash1* and H.V. Hema Kumar2
1Indian Institute of Technology, Kharagpur, West Bengal, India
2CAE, Bapatla, Andhra Pradesh, India
*Corresponding author
Abstract:

The daily weather data of 20 years were collected from the IMD Bapatla. Using daily rainfall, relative humidity, maximum temperature and minimum temperature data of twenty years from 1991-2010 were analysed. The data were also analysed to find out the standard deviation and coefficient of variation during period of study. Coefficient of variation in seasonal rainfall was 41.71% for kharif season, 87.2% for zaid and 40.9% for Rabi season. The trend analysis of annual rainfall during 1991 to 2010 revealed that annual rainfall increased over the past two decades at the rate of 8.033 mm per annum. The monthly maximum temperature showed a positive trend of increase at a rate of 4.2 0C per 100 years. The maximum increase occurred during October at a rate of 9 0C per 100 years. The monthly minimum temperature showed more statistically significant trend of increase at a rate of 1.6 0C per 100 years. The maximum increase occurred during March at a rate of 6.4 0 C per 100 years. Monthly mean temperature showed a positive trend of increase at a rate of 2.9 0 C per 100 years. The regression /correlation analysis was used in determining the trends, the result showed that there was an increase in rainfall and relative humidity in the month of September and October. Average annual relative humidity data has showed an increasing trend of 13.6 % per 100 years with correlation coefficient of 0.45. The result also showed a very high intensity of rainfall and relative humidity in the month of September of all the years under study with minimum temperature observed in January in all the years considered for the study. The relative humidity increased as the rainfall increased.


Keywords: Coefficient of variation, Regression analysis and trend analysis.

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How to cite this article:

Saurav Srichandan Dash and Hema Kumar, H.V. 2017. Statistical and Trend Analysis of Climate Data of Bapatla (A.P), India.Int.J.Curr.Microbiol.App.Sci. 6(10): 4959-4969. doi: https://doi.org/10.20546/ijcmas.2017.610.470
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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