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• W4320736504 abstract "The Brahmaputra River frequently floods large areas in Bangladesh and northeast India during the annual monsoon rains with devastating consequences. The intensity and duration of these flood events may increase as the climate warms. We incorporated the CMIP6 data to project the basin-scale changes in mean annual precipitation using three Shared Socioeconomic Pathways (SSPs). We analyzed the tail behavior of projected precipitation to estimate the probability of future extreme precipitation in the basin. Moreover, we projected the future peak streamflow that will result due to global warming by 1, 1.5, 2, and 2.5 °C. Our results show an increase in the ensemble mean annual precipitation by 7.48%, 8.01%, and 19.37% under SSP126, SSP245, and SSP585, respectively, during the 2071–2100 period as compared to the 1981–2010 historic period. The basin will experience more intense precipitation compared to the historic period. Based on the SSP585 and 1.5-degree warming, the peak discharge at Bahadurabad, Bangladesh, will potentially increase by 39%, resulting in an increase in flood risk in Bangladesh. Collaboration among co-riparian countries in the basin will be essential for optimal utilization of water resources and for minimizing future damage caused by increased flooding." @default.
• W4320736504 created "2023-02-15" @default.
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• W4320736504 date "2023-01-01" @default.
• W4320736504 modified "2023-09-30" @default.
• W4320736504 title "Future Floods in the Brahmaputra River Basin Based on Multi-model Ensemble of CMIP6 Projections" @default.
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• W4320736504 doi "https://doi.org/10.1007/978-3-031-21086-0_16" @default.
• W4320736504 hasPublicationYear "2023" @default.
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