Articles | Volume 26, issue 9
https://doi.org/10.5194/nhess-26-4335-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-4335-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Invited perspectives: reframing transboundary flood vulnerability through “Hydrosocial Connectivity” for just and adaptive governance
School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, United Kingdom
Birmingham Institute for Sustainability and Climate Change (BISCA), Birmingham, United Kingdom
now at: School of Geographical Sciences, University of Bristol, Bristol, United Kingdom
Rose Cook
School of Engineering, University of Birmingham, Birmingham, United Kingdom
Xilin Xia
Birmingham Institute for Sustainability and Climate Change (BISCA), Birmingham, United Kingdom
School of Engineering, University of Birmingham, Birmingham, United Kingdom
School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, United Kingdom
Birmingham Institute for Sustainability and Climate Change (BISCA), Birmingham, United Kingdom
Iseult Lynch
School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, United Kingdom
Birmingham Institute for Sustainability and Climate Change (BISCA), Birmingham, United Kingdom
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Short summary
Absence of basin-wide agreements, limited data-sharing, and the exclusion of local knowledge reinforce vulnerability and undermine resilience in the Ganges-Brahmaputra Basin. We urge a shift to hydrosocial connectivity – linking water flows, social relations, and governance. This framing reveals risks are shaped by power, politics, and participation. By centring justice, equity, and collaboration, it offers more coordinated approach with adaptive and inclusive transboundary governance outcomes.
Absence of basin-wide agreements, limited data-sharing, and the exclusion of local knowledge...
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