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PM
2.5
data inputs alter identification of disadvantaged communities
Therese S. Carter
, Gaige Hunter Kerr
, Heresh Amini
, Randall V. Martin
, Ufuoma Ovienmhada
, Joel Schwartz
, Aaron van Donkelaar
, Susan Anenberg
Department of Energy, Environmental & Chemical Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
6
Scopus citations
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2.5
data inputs alter identification of disadvantaged communities'. Together they form a unique fingerprint.
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Keyphrases
High-resolution
100%
Disadvantaged Communities
100%
PM2.5 Data
100%
Particulate Matter 2.5 (PM2.5)
75%
PM2.5 Concentration
75%
Intra-urban
50%
90th Percentile
25%
Screening Tool
25%
Racial-ethnic
25%
Hispanic
25%
Scientific Community
25%
Non-Hispanic White
25%
Census Tract
25%
Poverty
25%
Low-income
25%
Communities of Color
25%
High Spatial Resolution
25%
Population Subgroups
25%
Concentration Estimates
25%
Fine Particulate Matter PM2.5
25%
PM2.5 Pollution
25%
State Government
25%
Exposed Population
25%
Government Use
25%
Ground-truthing
25%
Mobile Monitoring
25%
Pope
25%
Exposure Disparities
25%
Climate Justice
25%
Economic Justice
25%
Ground Monitoring
25%
Earth and Planetary Sciences
Particular Matter 2.5
100%
Air Pollution
12%
Fine Particulate Matter
12%
High Spatial Resolution
12%
Waste Air
12%