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Article

Long-Term Trend Analysis of Precipitation and Extreme Events over Kosi River Basin in India

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Remote Sensing Laboratory, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi 221005, India
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DST-Mahamana Centre for Excellence in Climate Change Research, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi 221005, India
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Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 16500 Praha-Suchdol, Czech Republic
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Department of Geography, Harokopio University of Athens, 17671 Athens, Greece
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Department of Geology, University of Delhi, New Delhi 110052, India
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Department of Civil Engineering, IIT Bombay, Powai 400076, India
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Department of Civil Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
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Indian Institute of Tropical Meteorology, Pune 411021, India
*
Author to whom correspondence should be addressed.
Academic Editor: Momcilo Markus
Water 2021, 13(12), 1695; https://doi.org/10.3390/w13121695
Received: 14 May 2021 / Revised: 11 June 2021 / Accepted: 12 June 2021 / Published: 18 June 2021
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° × 0.25° 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. View Full-Text
Keywords: precipitation; Mann–Kendell test; Sen’s estimator test; extreme events; Kosi River Basin precipitation; Mann–Kendell test; Sen’s estimator test; extreme events; Kosi River Basin
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MDPI and ACS Style

Srivastava, P.K.; Pradhan, R.K.; Petropoulos, G.P.; Pandey, V.; Gupta, M.; Yaduvanshi, A.; Wan Jaafar, W.Z.; Mall, R.K.; Sahai, A.K. Long-Term Trend Analysis of Precipitation and Extreme Events over Kosi River Basin in India. Water 2021, 13, 1695. https://doi.org/10.3390/w13121695

AMA Style

Srivastava PK, Pradhan RK, Petropoulos GP, Pandey V, Gupta M, Yaduvanshi A, Wan Jaafar WZ, Mall RK, Sahai AK. Long-Term Trend Analysis of Precipitation and Extreme Events over Kosi River Basin in India. Water. 2021; 13(12):1695. https://doi.org/10.3390/w13121695

Chicago/Turabian Style

Srivastava, Prashant K., Rajani K. Pradhan, George P. Petropoulos, Varsha Pandey, Manika Gupta, Aradhana Yaduvanshi, Wan Z. Wan Jaafar, Rajesh K. Mall, and Atul K. Sahai 2021. "Long-Term Trend Analysis of Precipitation and Extreme Events over Kosi River Basin in India" Water 13, no. 12: 1695. https://doi.org/10.3390/w13121695

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