20260115
09455300
1.0
FALSE
EstimatedLitterDensity_itemsms2__CopyFeatures_coastCounties
002
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
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20260115
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ItemDescription
Esri ArcGIS 13.5.2.57366
Estimated litter density (items/m2) - 1 of several layers in the Escaped Trash Risk Map
This data layer represents estimated litter density (items m2) and is part of the 'Escaped Trash Risk Map' dataset developed by Dr. Jenna Jambeck and Kathryn Youngblood of the University of Georgia College of Engineering Circularity Informatics Lab under contract to US EPA (Trash Free Waters program). Escaped Trash Risk Map displays the results of a modeled estimate of litter density risk along roadways across the U.S. at a snapshot in time, as of September 2024. Escaped trash refers to litter that leaks out from waste management systems, whether through spillage from non-secured containers, intentional littering, or other means.
This data layer includes tracts from Maine to North Carolina that fall within 'coastal watershed counties' as defined by NOAA. The original EPA Estimated Litter Density data encompass the lower 48 states of the U.S. At the time of publishing this data layer, the EPA states the data are as of September 2024. Note:
- The litter density estimates, varying by geography, should be treated as a ‘risk map’ based on variables associated with litter density at the national level. The model does not account for impacts from local factors such as illegal dumping, street sweeping, cleanup efforts, policy implementation, and the like. - Microplastics data from available studies in freshwater systems across the US are also summarized in the map. Microplastics data are insufficient to extrapolate to all domestic waterbodies.
The map was developed with the University of Georgia and the Sea Education Association.
For more information, please refer to: https://www.epa.gov/trash-free-waters/escaped-trash-risk-map.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This data layer represents estimated litter density (items m2) and is part of the 'Escaped Trash Risk Map' dataset developed by Dr. Jenna Jambeck and Kathryn Youngblood of the University of Georgia College of Engineering Circularity Informatics Lab under contract to US EPA (Trash Free Waters program). </SPAN></P><P><SPAN>Escaped Trash Risk Map displays the results of a modeled estimate of litter density risk along roadways across the U.S. at a snapshot in time, as of September 2024. Escaped trash refers to litter that leaks out from waste management systems, whether through spillage from non-secured containers, intentional littering, or other means.</SPAN></P><P><SPAN>Note: The litter density estimates, varying by geography, should be treated as a ‘risk map’ based on variables associated with litter density at the national level. The model does not account for impacts from local factors such as illegal dumping, street sweeping, cleanup efforts, policy implementation, and the like. Microplastics data from available studies in freshwater systems across the US are also summarized in the map. Microplastics data are insufficient to extrapolate to all domestic waterbodies.</SPAN></P><P><SPAN>The map was developed with the University of Georgia and the Sea Education Association.</SPAN></P><P><SPAN>For more information, please refer to: https://www.epa.gov/trash-free-waters/escaped-trash-risk-map.</SPAN></P><P><SPAN /></P><P><SPAN /></P></DIV></DIV></DIV>
Acknowledgments The Escaped Trash Risk Map was developed by Dr. Jenna Jambeck and Kathryn Youngblood of the University of Georgia College of Engineering Circularity Informatics Lab under contract to US EPA (Trash Free Waters program). Collaborators on this work included Dr. Kara Lavender Law of Sea Education Association and Dr. Marisa Morse of the University of California Santa Barbara. Thanks to Dr. Levi Helm from Arizona State University for additional support.
Data used for ETRM was provided by the University of Georgia Circularity Informatics Lab, Litterati, Debris Tracker, and the Ocean Conservancy TIDES database. Thank you to Dr. Suraj Sheth from the University of Chicago Pritzker School of Medicine, Chicago, IL, for sharing GIS files for the US HD data.
We would also like to thank the Osprey Initiative, Keep America Beautiful, and River Network for providing data in the exploratory phase of this project.
escaped trash risk map
litter density
File Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
EstimatedLitterDensity_itemsms2__CopyFeatures_coastCounties
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
SUM_RA_km
SUM_RA_km
Double
8
0
0
SUM_RB_km
SUM_RB_km
Double
8
0
0
SUM_RC_km
SUM_RC_km
Double
8
0
0
SUM_RD_km
SUM_RD_km
Double
8
0
0
gridcode
gridcode
Integer
4
0
0
adjstd_
adjstd_
Double
8
0
0
DevHighPer
DevHighPer
Double
8
0
0
RiverBasin
RiverBasin
String
255
0
0
UCSBmodel_item
UCSBmodel_item
Integer
4
0
0
USCBmodel_dens
USCBmodel_dens
Double
8
0
0
HDI_Norm
HDI_Norm
Double
8
0
0
HighDev_Norm
HighDev_Norm
Double
8
0
0
USCB_dens_l95
USCB_dens_l95
Double
8
0
0
USCB_dens_u95
USCB_dens_u95
Double
8
0
0
USCB_item_l95
USCB_item_l95
Integer
4
0
0
USCB_item_u95
USCB_item_u95
Integer
4
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20260116