Please wait for the process to complete.
Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
||This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (firstname.lastname@example.org) for information on this resource.|
|Storage:||The size of this resource is 118.2 GB|
|Created:||Jun 09, 2023 at 4:04 p.m.|
|Last updated:|| Sep 13, 2023 at 2:54 p.m.
|Citation:||See how to cite this resource|
|Content types:||Geographic Raster Content|
|+1 Votes:||Be the first one to this.|
|Comments:||No comments (yet)|
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.
The naming convention of inundation maps:
Syntax: [Water Level]_[Breach Condition]_[NID Dam ID]
* Water Level:
- MH: Maximum Height
- TAS: Top of Active Storage
- NH: Normal Height
* Breach Condition:
- F: Fail
- S: Stable
For example, 'MH_F_CA10022' indicates inundation maps induced by the failure of the dam (CA10022) under the Maximum Height (MH) and Breach (F) scenario. The original data is available at the National Inventory of Dams (https://nid.sec.usace.army.mil/viewer/index.html).
Web Map Service
Web Coverage Service
|Title||Owners||Sharing Status||My Permission|
|IGUIDE-DataCatalog||Furqan Baig||Public & Shareable||Open Access|
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/