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@article{192052,
author = {Sonakshi Deori and Dr. Triptimoni Borah},
title = {Analysis of Long-Term Rainfall Trends in The District of Tinsukia, Assam: Implications for Climatic Adaptation and Water Resource Management},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {9},
pages = {406-418},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=192052},
abstract = {Understanding long-term rainfall trends is essential for climate change impact assessment, sustainable agriculture, and water resource planning. This study investigates over a century of rainfall data (1901–2023) for the Tinsukia district in Assam, India—an area highly dependent on seasonal precipitation. Using robust statistical tools, namely the Mann-Kendall trend test and linear regression analysis, the research evaluates monthly, seasonal, and annual rainfall patterns to detect statistically significant trends and climatic variability.
Results from the Mann-Kendall test revealed a significant decreasing trend in rainfall for key months such as January, February, April, June, August, and September. Seasonal analysis showed notable declines in winter and monsoon rainfall, with annual rainfall also showing a statistically significant downward trend, especially during agriculturally crucial periods. These patterns suggest increasing climatic stress in the region.
The linear regression analysis further indicated weak correlations between rainfall and time, with several months showing downward trends; however, most were statistically insignificant, highlighting possible influences from other climatic or anthropogenic factors. The regression results suggest that while some decline is observable, the relationship lacks strong statistical support in certain months.
These findings underscore the importance of integrating trend analysis into climate adaptation strategies and regional water management planning. The research provides critical insights into changing precipitation dynamics in Tinsukia and contributes to a broader understanding of hydro-climatic variability in northeastern India, offering valuable direction for policymakers, planners, and researchers in developing resilient water and agricultural systems in the face of ongoing climatic shifts.},
keywords = {Mann Kendall Trend Test, Linear regression, Trend analysis, Seasonal trend},
month = {February},
}
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