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Paper ID:IJSREM68506

A Statistical Assessment of Rainfall Trends and Their Impacts on Agricultural Productivity, Economic Performance, and Tourism in India

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68506

Volume:

10 |

10 |

Oct 2026

Pages:

1-12

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM68506

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Dr.Akram S. Pathan

Dr.Akram S. Pathan

Civil Engineering

Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

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Sairaj Kuthare

Sairaj Kuthare

Civil Engineering

Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

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Harshal Khedekar

Harshal Khedekar

Civil Engineering

Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

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Dr. S. D. Shinde

Dr. S. D. Shinde

Civil Engineering

Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

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Aryan Madle

Aryan Madle

Civil Engineering

Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

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Aditya Malode

Aditya Malode

Civil Engineering

Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

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Raj Ghayal

Raj Ghayal

Civil Engineering

Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

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Durvas Mali

Durvas Mali

Civil Engineering

Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

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Mentors

Mr. S. B. Deshmukh

Mr. S. B. Deshmukh

Civil Engineering

Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

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Abstract

The present study investigates rainfall trends across India, examines their relationships with key socioeconomic indicators, including agricultural production, economic growth, and tourism, and forecasts annual rainfall for the period 2023–2030. The non-parametric Mann–Kendall test and Sen’s slope estimator were employed to assess annual and seasonal rainfall trends over the period 2001–2022. The results indicate a significant declining trend in winter rainfall, whereas pre-monsoon, monsoon, and post-monsoon rainfall exhibit increasing trends. In contrast, annual rainfall shows an overall declining tendency, with Sen’s slope estimated at −1.0891 mm/year. Among the seasons, monsoon rainfall exhibits the steepest increasing trend, with a Sen’s slope of 3.2538 mm/year. The study further examines the relationships between rainfall and per-capita gross domestic product (GDP), tourism, and food-grain production. The correlation analysis reveals a positive but statistically insignificant relationship between annual rainfall and per-capita GDP, suggesting that economic growth is influenced by multiple factors beyond rainfall variability. Similarly, the association between annual rainfall and tourism is weak and statistically insignificant. In contrast, annual rainfall exhibits a strong and statistically significant correlation with food-grain production, highlighting the importance of rainfall variability for agricultural productivity. Finally, annual rainfall is forecast for 2023–2030 to provide insights into potential future rainfall patterns and support evidence-based planning for agricultural management and water resources. The findings emphasize the importance of understanding seasonal rainfall variability and its sector-specific associations for sustainable agricultural development and socioeconomic planning in India.

KEYWORDS

Rainfall; non-parametric test; trend; correlation; ARIMA

Cite This Article

Dr.Akram S. Pathan, Sairaj Kuthare, Harshal Khedekar, Dr. S. D. Shinde, Aryan Madle, Aditya Malode, Raj Ghayal, Durvas Mali, Mr. S. B. Deshmukh, "A Statistical Assessment of Rainfall Trends and Their Impacts on Agricultural Productivity, Economic Performance, and Tourism in India," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-12, Oct 2026. https://doi.org/10.55041/IJSREM68506

Full Article/Conclusion

The primary objective of this study has involved the examination of rainfall trends in India, their impacts on agriculture, tourism, and economic growth, and further, forecasting the annual rainfall for the period spanning from 2023 to 2030. In this pursuit, both the Mann-Kendall test and the Sen’s slope estimator have been utilized for the assessment of annual and seasonal rainfall patterns. A negative trend has persisted throughout the winter season from 2001 to 2022, whereas robust positive trends have emerged in the context of the pre-monsoon, monsoon, and post-monsoon seasons during the same timeframe. Conversely, annual rainfall has been found to exhibit a sustained, down- ward trajectory. The most substantial negative slope magnitude has materialized in the annual rainfall pattern (-1.0891 mm/year), while the most pronounced positive trend slope has been noted in the monsoon season (3.2538 mm/year). It is noteworthy that the southwest monsoon, prevailing from June to September, has significantly contributed to approximately 76% of India’s total rainfall, with the highest recorded precipitation volume documented in 2019, and the lowest recorded in 2002. The present study consistently pointed to a positive yet statistically insignificant relationship between annual rainfall and per-capita domestic product. Similarly, a statistically insignificant correlation has been discerned between annual rainfall and the number of tourists. Conversely, a robust and positive correlation between annual rainfall and foodgrain production has been observed and was found to be statistically significant. Additionally, the current study entailed the provision of forecasts regarding rainfall in India for the upcoming eight-year period, extending from 2023 to 2030. These forecasts, facilitated by the application of the ARIMA (1,0,0) model, have consistently projected a continuing decline in annual rainfall. This projected reduction in rainfall could entail severe ramifications for critical aspects such as water resources, agricultural productivity, and the overall economy. Consequently, proactive measures, encompassing water conservation initiatives, the adoption of drought-resistant agricultural practices, and in- vestments in alternative energy sources, are deemed imperative.

References

1.                Bogardi JJ, Fekete BM. Water: A unique phenomenon and resource. In handbook of water resources management: Discourses, concepts and examples, Springer. 2021;9-40. 2.                Leong G. Certificate physical and human geography. Oxford University Press; 1995. Available:https://books.google.com/books? id=XhJ4RAAACAAJ ISBN 9780195628166 3.                Lemmen DS, Warren FJ. Climate change impacts and adaptation: A canadian perspective; 2004. 4.                Pathak H, Aggarwal PK, Singh S. Climate change impact, adaptation and mitigation in agriculture: methodology for assessment and applications. Indian Agricultural Research Institute, New Delhi. 2012;302. 5.                Preetu     venugopalan       nair.    Heavy     rain affects monsoon tourism in Kerala; 2013. Available:http://timesofindia.indiatimes.co m 6.                Sanikhani H, Kisi O, Mirabbasi R, Meshram SG. Trend analysis of rainfall pattern over the central india during 1901–2010. Arabian Journal of Geosciences. 2018;11:1–14. 7.                Gajbhiye S, Meshram C, Mirabbasi R, Sharma S. Trend analysis of rainfall time series for sindh river basin in India. Theoretical and applied climatology. 2016;125:593–608. 8.                Krishnakumar K, Rao GP, Gopakumar C. Rainfall trends in twentieth century over kerala, India. Atmospheric environment. 2009;43(11):1940–1944. 9.                Sharma SK, Sharma DP, Sharma MK, Gaur K, Manohar P. Trend analysis of temperature and rainfall of Rajasthan, India. Journal of Probability and Statistics. 2021;2021:1–7. 10.           Shree S, Kumar M. Analysis of seasonal

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Publication Date

10/31/2026

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Double-Blind Peer Review

Review Rounds: 2

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