Articles | Volume 26, issue 9
https://doi.org/10.5194/nhess-26-4335-2026
https://doi.org/10.5194/nhess-26-4335-2026
Invited perspectives
 | 
07 Sep 2026
Invited perspectives |  | 07 Sep 2026

Invited perspectives: reframing transboundary flood vulnerability through “Hydrosocial Connectivity” for just and adaptive governance

Tahmina Yasmin, Rose Cook, Xilin Xia, David M. Hannah, and Iseult Lynch

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Cited articles

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Baseer, A. and Iqbal, M. F.: Flood monitoring and reservoir management in the transboundary Chenab River Basin using machine learning and remote sensing techniques, Model. Earth Syst. Environ., 11, 21, https://doi.org/10.1007/s40808-024-02182-1, 2025. 
Bhattarai, Y., Duwal, S., Sharma, S., and Talchabhadel, R.: Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility mapping in transboundary river basin, Int. J. Digit. Earth, 17, 2313857, https://doi.org/10.1080/17538947.2024.2313857, 2024. 
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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.
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