<p>Climate change has emerged as a critical global concern in the twenty-first century, significantly altering various weather elements due to a combination of natural processes and, more prominently, anthropogenic activities. One of the major consequences of climate change is the intensification of climatic extremes. The Mayurakshi River Basin, like many other river systems, faces significant threats from these changing climatic conditions.&#xa0;The primary aim of this study is to assess the trends and spatiotemporal variability of extreme precipitation and temperature events in the Mayurakshi River Basin. To achieve this, two key meteorological parameters- precipitation and temperature were analyzed using nonparametric statistical methods, specifically the Mann-Kendall (MK) trend test and Sen’s slope estimator.&#xa0;The analysis focuses on the frequency and magnitude of selected extreme climate indices at both seasonal and annual scales. Results reveal that while a few indices exhibit a negative or decreasing trend, the majority show significant positive or increasing trends across different time scales. This pattern points to growing climate variability and disturbances, which in turn heighten the risks of floods and droughts in the basin.&#xa0;In conclusion, the findings underscore climate change as a pressing challenge for the region. This study provides vital insights for sustainable water resource management, supports informed policy-making, and aids in the design of resilient infrastructure to mitigate the impacts of extreme weather events in the Mayurakshi River Basin.</p>

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Spatiotemporal assessment of precipitation and temperature extremes over monsoon dominated Mayurakshi River Basin, Eastern India

  • Hemanta Sutradhar

摘要

Climate change has emerged as a critical global concern in the twenty-first century, significantly altering various weather elements due to a combination of natural processes and, more prominently, anthropogenic activities. One of the major consequences of climate change is the intensification of climatic extremes. The Mayurakshi River Basin, like many other river systems, faces significant threats from these changing climatic conditions. The primary aim of this study is to assess the trends and spatiotemporal variability of extreme precipitation and temperature events in the Mayurakshi River Basin. To achieve this, two key meteorological parameters- precipitation and temperature were analyzed using nonparametric statistical methods, specifically the Mann-Kendall (MK) trend test and Sen’s slope estimator. The analysis focuses on the frequency and magnitude of selected extreme climate indices at both seasonal and annual scales. Results reveal that while a few indices exhibit a negative or decreasing trend, the majority show significant positive or increasing trends across different time scales. This pattern points to growing climate variability and disturbances, which in turn heighten the risks of floods and droughts in the basin. In conclusion, the findings underscore climate change as a pressing challenge for the region. This study provides vital insights for sustainable water resource management, supports informed policy-making, and aids in the design of resilient infrastructure to mitigate the impacts of extreme weather events in the Mayurakshi River Basin.