• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology

Article

Indian Journal of Science and Technology

Year: 2022, Volume: 15, Issue: 10, Pages: 442-450

Original Article

A Trend Analysis of Climatic Variables in the Karimganj District of Assam, India

Received Date:14 January 2022, Accepted Date:05 February 2022, Published Date:11 March 2022

Abstract

Objectives: The main goal of this research is to analyse the trends of climatic variables in the Karimganj district of Assam. The study examines the trend of seasonal and annual temperature maximum, temperature minimum, rainfall and relative humidity for the period 1981-2020. Methods: A non-parametric Mann-Kendall (MK) technique has been employed to establish statistically significant trend in the series. The magnitude of a time series trend has been evaluated by Sen’s slope test. Trend lines and time series graphs are used for better understanding of trends. Findings: It has been found that annual and seasonal temperature maximum (Tmax) have a significant negative trend over the period except post monsoon season. There is no significant trend in the annual temperature minimum (Tmin) series but seasonal mean temperature minimum is showing a significant positive trend at different levels of significance during all four seasons. Except winter season, annual rainfall series and all other seasonal average rainfall series are showing significant positive trends. The seasonal averages and annual relative humidity are showing statistically significant positive trends over the period. Novelty: The study is unique and innovative for Karimganj district of Assam to best of our knowledge. From the analysis, the study claims that climate change is occurring in the district. To combat the impact of climate change, participation of people in adaptations practices and government intervention in the form of mitigation policies are necessary. JEL Classification: Q50, Q54

Keywords: Karimgani; climate change; rainfall; temperature; relative humidity; Assam

References

  1. Jain SK, Kumar V. Trend analysis of rainfall and temperature data for India. Current Science. 2012;10:37–49. Available from: https://www.researchgate.net/publication/275340859
  2. Zhang P, Zhang J, Chen M. Economic impacts of climate change on agriculture: The importance of additional climatic variables other than temperature and precipitation. Journal of Environmental Economics and Management. 2017;83(1):8–31. doi: 10.1016/j.jeem.2016.12.001
  3. Deka S. Statistical analysis of long-term rainfall trends in Cherrapunji, Meghalaya, India. Journal of Applied and Natural Science. 2021;13(1):170–177. Available from: https://doi.org/10.31018/jans.v13i1.2442
  4. Praveen B, Talukdar S, Mahato S, Mondal J, Sharma P, Islam A, et al. Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches. Scientific Reports. 2020;10(1):1–21. Available from: https://dx.doi.org/10.1038/s41598-020-67228-7
  5. Majumder SH, Deka N, Mondal B, Bisen J, Barman U. Farmers' Perception to Climate Change in Barak Valley Zone of Assam: An Empirical Study. Indian Journal of Extension Education. 2019;55(4):97–101. Available from: https://www.indianjournals.com/ijor.aspx?target=ijor:ijee3&volume=55&issue=4&article=018
  6. Gharphalia BJ, Deka RL, Islam AN, Dutta P, Medhi K. Variability and Trends of Rainfall Events in the Brahmaputra Valley of Assam. International Journal of Current Microbiology and Applied Sciences. 2018;7(11):1902–1912. Available from: https://dx.doi.org/10.20546/ijcmas.2018.711.215
  7. Dutta UP, Gogoi PP, Sengupta PP, Phukon P. Time Series Analysis of Temperature and Rainfall in the Brahmaputra Basin. Assam. Urban India. 2018.
  8. Singh A, Adhikary NC. Rainfall Trends in six districts of Assam during the period 1950- 2013. Research Journal of Chemical and Environmental Sciences. 2018;6(4):54–63. Available from: http://www.aelsindia.com/august_2018/12.pdf
  9. Mann HB. Nonparametric Tests Against Trend. Econometrica: Journal of the econometric society. 1945;13(3):245. Available from: https://doi.org/10.2307/1907187
  10. Kendall MG. Rank Correlation Methods. New York, NY. Oxford University Press. 1975.
  11. Sen PK. Estimates of the Regression Coefficient Based on Kendall's Tau. Journal of the American Statistical Association. 1968;63(324):1379–1389. Available from: http://links.jstor.org/sici?sici=01621459%28196812%2963%3A324%3C1379%3AEOTRCB%3E2.0.CO%3B2-A

Copyright

© 2022 Ahmed et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published By Indian Society for Education and Environment (iSee)

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