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<p>This study investigates the spatio-temporal rainfall trends in the Upper Narmada River Basin (UNRB), covering Dindori and Mandla districts of Madhya Pradesh, India, using rainfall data from 1991 to 2020. Trends analysis methods such as the Mann–Kendall test, Sen’s slope estimator, Innovative Trends Analysis, and Analytical Standardized Anomaly Index were employed to evaluate rainfall variability and detect significant trends. Results reveal diverse patterns: increasing rainfall in stations like Shahpura suggests potential for enhanced water storage and agriculture, while declining trends in Narayanganj indicate rising drought risk. Extreme rainfall events and climate variability were evident, with notable wet years (1994, 2013, and 2020) and dry spells (2006–2007). Trend clustering highlights areas of concern and stability, guiding resource planning. The study underscores the urgent need for climate-resilient water management strategies, emphasizing flood control, drought preparedness, and sustainable agriculture to adapt to changing rainfall dynamics in the region.</p>

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Spatio-Temporal Rainfall Trends in Parts of Upper Narmada River Basin of Dindori and Mandla Districts of Madhya Pradesh, India

  • 期刊论文

  • 发表日期：

    2026年4月9日

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  • Neeraj Jatav,
  • Jyoti Sarup,
  • Priyanka Dhurvey

摘要

This study investigates the spatio-temporal rainfall trends in the Upper Narmada River Basin (UNRB), covering Dindori and Mandla districts of Madhya Pradesh, India, using rainfall data from 1991 to 2020. Trends analysis methods such as the Mann–Kendall test, Sen’s slope estimator, Innovative Trends Analysis, and Analytical Standardized Anomaly Index were employed to evaluate rainfall variability and detect significant trends. Results reveal diverse patterns: increasing rainfall in stations like Shahpura suggests potential for enhanced water storage and agriculture, while declining trends in Narayanganj indicate rising drought risk. Extreme rainfall events and climate variability were evident, with notable wet years (1994, 2013, and 2020) and dry spells (2006–2007). Trend clustering highlights areas of concern and stability, guiding resource planning. The study underscores the urgent need for climate-resilient water management strategies, emphasizing flood control, drought preparedness, and sustainable agriculture to adapt to changing rainfall dynamics in the region.