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 contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
| Authors: |
|
|
|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 127.6 KB | |
| Created: | Apr 01, 2025 at 3:19 p.m. (UTC) | |
| Last updated: | Aug 05, 2025 at 12:34 p.m. (UTC) | |
| Published date: | Aug 05, 2025 at 12:34 p.m. (UTC) | |
| DOI: | 10.4211/hs.30600d19187f4a0cb3489908e07e652d | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
|---|---|
| Views: | 77 |
| Downloads: | 0 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
Urban streams and rivers have chronic bacteria contamination in the United States, coming from multiple sources, following a variety of flowpaths to the waterway, and with differing downstream fates. Bacteria from human sewage, estimated through measures of Escherichia coli, pose the highest risk to human health. We analyzed four years of E. coli monitoring by community science groups to look for spatial and temporal drivers of E. coli densities in watersheds in the urban core of metro Atlanta, GA, with a wide range of racial and economic diversity as well as persistent patterns of segregation and racialized inequality. These watersheds are spaces of environmental injustice, with disproportionate impacts for lower-wealth and predominantly Black communities from flooding, soil contamination, and air pollution. While there were minimal differences in E. coli between watersheds with different Black and white populations, individual sites could be identified as hot and cold spots of contamination. Storm events increased E. coli at most sites, indicating a combination of runoff and sediment-sorbed E. coli explains about 50% of the temporal variability in E. coli densities. Long-term median E. coli levels were not strongly correlated to land cover or socio-demographic characteristics of the contributing watershed, but E. coli variability was lower in less densely urbanized areas. Temporal and spatial distributions of E. coli are controlled by complex interactions between sources and hydrologic transport that vary across watersheds. While direct correlations to racial demographics were not observed, the interactions between sewage as one environmental harm and the many others (air quality, soil quality, prison-industrial complex, etc.) present in minority and low-income urban communities emphasize the oversized burden environmental justice communities carry.
Subject Keywords
Coverage
Spatial
Temporal
| Start Date: | |
|---|---|
| End Date: |
Content
Related Resources
| This resource is referenced by | Ledford, SH, Milligan, R, Riaz, Z, Sterling, J, Meyer, M, and J Echols. 2025. Examining drivers of E. coli distribution across urban headwaters using community science. Environmental Research: Water. doi:10.1088/3033-4942/adf770 |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Science Foundation | 2228245 | |
| Department of Energy | DE-SC0023172 | |
| Atlanta Global Research and Education Collaborative | ||
| National Fish and Wildlife Foundation Five Star and Urban Waters Restoration Program |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment