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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68506
Volume:
10 |
10 |
Oct 2026
Pages:
1-12
Publication Frequency:
Monthly (12 issues per year)
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.

Civil Engineering
Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

Civil Engineering
Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

Civil Engineering
Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

Civil Engineering
Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

Civil Engineering
Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

Civil Engineering
Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

Civil Engineering
Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

Civil Engineering
Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar

Civil Engineering
Deogiri Institute of Engineering and Management Studies, Chhatrapati Sambhajinagar
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
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.
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Publication Date
10/31/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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