Evidence map›Paper›PMID 33400508›Full record

ArticleEnvironmental science & technology2021

Four Decades of United States Mobile Source Pollutants: Spatial-Temporal Trends Assessed by Ground-Based Monitors, Air Quality Models, and Satellites.

Lucas R F Henneman, Huizhong Shen, Christian Hogrefe, Armistead G Russell, Corwin M Zigler

Abstract read
In one paragraph

Article in Environmental science & technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Nonlinear Contributions of NOACS ES&T air · 2026
    Article
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  8. Effective and Acceptable Eco-Driving Guidance for Human-Driving Vehicles: A Review.International journal of environmental research and public health · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lucas R F HennemanDepartment of Civil, Environmental, and Infrastructure Engineering, George Mason University, Fairfax, Virginia 22030-4444, United States.ORCID 0000-0003-1957-8761
Huizhong ShenSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0003-1335-8477
Christian HogrefeAtmospheric Dynamics and Meteorology Branch; Atmospheric and Environmental Systems Modeling Division; CEMM, ORD, U.S. EPA, Research Triangle Park, North Carolina 78712, United States.
Armistead G RussellSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Corwin M ZiglerDepartment of Statistics and Data Sciences and Department of Women's Health, The University of Texas at Austin, Austin, Texas 78712-1139, United States.

Funding

Causal Inference with Interference for Evaluating Air Quality PoliciesR01ES026217 · NIEHS · UNIVERSITY OF TEXAS AT AUSTIN · PI ZIGLER, CORWIN MATTHEW · 2016 to 2021
$2.2M
The impact of unconventional natural gas development on maternal, perinatal, and childhood health: An electronic health record approachK99ES027023 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI CASEY, JOAN A · 2017 to 2018
$203k
EPA R835880Intramural EPA EPA999999NIEHS NIH HHS K99 ES027023NIEHS NIH HHS R01 ES026217
6 · The paper itself

Abstract

On-road emissions sources degrade air quality, and these sources have been highly regulated. Epidemiological and environmental justice studies often use road proximity as a proxy for traffic-related air pollution (TRAP) exposure, and other studies employ air quality models or satellite observations. To assess these metrics' abilities to reproduce observed near-road concentration gradients and changes over time, we apply a hierarchical linear regression to ground-based observations, long-term air quality model simulations using Community Multiscale Air Quality (CMAQ), and satellite products. Across 1980-2019, observed TRAP concentrations decreased, and road proximity was positively correlated with TRAP. For all pollutants, concentrations decreased fastest at locations with higher road proximity, resulting in "flatter" concentration fields in recent years. This flattening unfolded at a relatively constant rate for NO

Indexed as

Air PollutantsAir PollutionEnvironmental PollutantsEnvironmental MonitoringParticulate MatterUnited StatesVehicle EmissionsAir PollutantsEnvironmental PollutantsParticulate MatterVehicle Emissions

Identifiers

PMID33400508
PMCPMC7983042

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.