Long-term trend analysis of precipitation and extreme events over Kosi River Basin in India
Analysis of spatial and temporal changes of long-term precipitation and extreme precipitation distribution at a local scale is very important for the prevention and mitigation of water-related disasters. In the present study, we have analyzed the long-term trend of 116 years (1901-2016) of precipita...
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my.um.eprints.342742022-09-09T02:43:53Z http://eprints.um.edu.my/34274/ Long-term trend analysis of precipitation and extreme events over Kosi River Basin in India Srivastava, Prashant Kumar Pradhan, Rajani Kumar Petropoulos, George P. Pandey, Varsha Gupta, Manika Yaduvanshi, Aradhana Jaafar, Wan Zurina Wan Mall, Rajesh Kumar Sahai, Atul Kumar G Geography. Anthropology. Recreation GC Oceanography GE Environmental Sciences QD Chemistry Analysis of spatial and temporal changes of long-term precipitation and extreme precipitation distribution at a local scale is very important for the prevention and mitigation of water-related disasters. In the present study, we have analyzed the long-term trend of 116 years (1901-2016) of precipitation and distribution of extreme precipitation index over the Kosi River Basin (KRB), which is one of the frequent flooding rivers of India, using the 0.25 degrees x 0.25 degrees resolution gridded precipitation datasets obtained from the Indian Meteorological Department (IMD), India. The non-parametric Mann-Kendall trend test together with Sen's slope estimator was employed to determine the trend and the magnitude of the trend of the precipitation time series. The annual and monsoon seasons revealed decreasing trends with Sen's slope values of -1.88 and -0.408, respectively. For the extreme indices viz. R10 and R20 days, a decreasing trend from the northeastern to the southwest part of the basin can be observed, whereas, in the case of highest one-day precipitation (RX1 day), no clear trend was found. The information provided through this study can be useful for policymakers and may play an important role in flood management, runoff, and understanding related to the hydrological process of the basin. This will contribute to a better understanding of the potential risk of changing rainfall patterns, especially the extreme rainfall events due to climatic variations. MDPI 2021-06 Article PeerReviewed Srivastava, Prashant Kumar and Pradhan, Rajani Kumar and Petropoulos, George P. and Pandey, Varsha and Gupta, Manika and Yaduvanshi, Aradhana and Jaafar, Wan Zurina Wan and Mall, Rajesh Kumar and Sahai, Atul Kumar (2021) Long-term trend analysis of precipitation and extreme events over Kosi River Basin in India. Water, 13 (12). ISSN 2073-4441, DOI https://doi.org/10.3390/w13121695 <https://doi.org/10.3390/w13121695>. 10.3390/w13121695 |
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G Geography. Anthropology. Recreation GC Oceanography GE Environmental Sciences QD Chemistry Srivastava, Prashant Kumar Pradhan, Rajani Kumar Petropoulos, George P. Pandey, Varsha Gupta, Manika Yaduvanshi, Aradhana Jaafar, Wan Zurina Wan Mall, Rajesh Kumar Sahai, Atul Kumar Long-term trend analysis of precipitation and extreme events over Kosi River Basin in India |
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Analysis of spatial and temporal changes of long-term precipitation and extreme precipitation distribution at a local scale is very important for the prevention and mitigation of water-related disasters. In the present study, we have analyzed the long-term trend of 116 years (1901-2016) of precipitation and distribution of extreme precipitation index over the Kosi River Basin (KRB), which is one of the frequent flooding rivers of India, using the 0.25 degrees x 0.25 degrees resolution gridded precipitation datasets obtained from the Indian Meteorological Department (IMD), India. The non-parametric Mann-Kendall trend test together with Sen's slope estimator was employed to determine the trend and the magnitude of the trend of the precipitation time series. The annual and monsoon seasons revealed decreasing trends with Sen's slope values of -1.88 and -0.408, respectively. For the extreme indices viz. R10 and R20 days, a decreasing trend from the northeastern to the southwest part of the basin can be observed, whereas, in the case of highest one-day precipitation (RX1 day), no clear trend was found. The information provided through this study can be useful for policymakers and may play an important role in flood management, runoff, and understanding related to the hydrological process of the basin. This will contribute to a better understanding of the potential risk of changing rainfall patterns, especially the extreme rainfall events due to climatic variations. |
format |
Article |
author |
Srivastava, Prashant Kumar Pradhan, Rajani Kumar Petropoulos, George P. Pandey, Varsha Gupta, Manika Yaduvanshi, Aradhana Jaafar, Wan Zurina Wan Mall, Rajesh Kumar Sahai, Atul Kumar |
author_facet |
Srivastava, Prashant Kumar Pradhan, Rajani Kumar Petropoulos, George P. Pandey, Varsha Gupta, Manika Yaduvanshi, Aradhana Jaafar, Wan Zurina Wan Mall, Rajesh Kumar Sahai, Atul Kumar |
author_sort |
Srivastava, Prashant Kumar |
title |
Long-term trend analysis of precipitation and extreme events over Kosi River Basin in India |
title_short |
Long-term trend analysis of precipitation and extreme events over Kosi River Basin in India |
title_full |
Long-term trend analysis of precipitation and extreme events over Kosi River Basin in India |
title_fullStr |
Long-term trend analysis of precipitation and extreme events over Kosi River Basin in India |
title_full_unstemmed |
Long-term trend analysis of precipitation and extreme events over Kosi River Basin in India |
title_sort |
long-term trend analysis of precipitation and extreme events over kosi river basin in india |
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MDPI |
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2021 |
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http://eprints.um.edu.my/34274/ |
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1744649168694018048 |
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13.159267 |