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  • Presentation | IN42C: Analytics, Informatics, and Data (AID) for Advancing Sustainability: Innovations and Applications II Oral
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  • IN42C-06: Exposing the Nation’s Most Vulnerable Dams: A Remote Sensing and Socio-Spatial Risk Framework
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Author(s):
Mohammad Khorrami, Virginia Tech (First Author, Presenting Author)
Ibrahim Isiaka, Virginia Tech
Claire Becker, Virginia Tech
Alexandra Oleski, Virginia Tech
Sarah Wilson, Virginia Tech
Manoochehr Shirzaei, Virginia Tech
Susanna Werth, Virginia Tech
Farshid Vahedifard, Tufts University
Amir AghaKouchak, University of California, Irvine


Many dams in the United States are old and not in good condition, especially as extreme weather becomes more common. Over 16,700 dams are considered high hazard, and more than 2,500 of them are in poor shape. Many are located near communities that would be affected if a dam failed. In this study, we developed a method to find which dams are most at risk. We used satellite data to look for ground movement that might signal structural problems, and we combined this with information about the dam's condition, how close it is to people, and whether it has an emergency plan in place. We also looked at which communities nearby are socially or economically vulnerable. We found that many high-risk dams are located near vulnerable communities, and some do not have updated emergency plans. Satellite data even showed signs of ground sinking at some dams, which might mean they are unstable. Our results show the importance of monitoring these dams more closely and making sure communities downstream are protected. This approach can help government agencies decide which dams need attention first and plan for safer infrastructure in the future.



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