(Single) Dam Failures Analysis Output - I-GUIDE Aging Dam Project
| Authors: | |
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| Owners: | Rajesh Kalyanam |
| Type: | Resource |
| Storage: | The size of this resource is 132.3 MB |
| Created: | Sep 03, 2023 at 2:27 p.m. |
| Last updated: | Sep 03, 2023 at 2:41 p.m. |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 920 |
| Downloads: | 136 |
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Abstract
This data repository is connected with a manuscript entitled "Socioeconomic characteristics of at-risk populations impacted by the aging dam infrastructure in the USA - Who is facing the risk of potential dam failures? "
Abstract of the manuscript:
The dam infrastructure in the conterminous United States (CONUS) has exceeded its designed service lives to a large extent, posing an increased risk of failures that can cause catastrophic disasters with substantial economic and human losses. However, limited attention has been paid to the characteristics of at-risk populations, hindering adequate understanding and preparedness for emergency planning. Our study proposes a framework employing spatial metrics to discover where and whether socially vulnerable populations are more exposed to flood inundation risks induced by dam failures. By applying the framework to 345 dams in the CONUS, we found that characteristics of at-risk populations vary extensively across space. To better understand this spatial variability, we categorized the dams into five clusters based on at-risk population characteristics. We find that of the dams analyzed, those in California, New England, and the Upper Mississippi basin, pose particularly high consequential risks for socially vulnerable populations.
Directory Structure:
In addition to the notebooks and other data, the analysis ready output data for a single sample dam is in "sample_results/Multi_F_Results/N_0" directory
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Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Science Foundation | HDR Institute: Geospatial Understanding through an Integrative Discovery Environment | 2118329 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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