Accountability Assessment of Source-Specific Impacts of Regulations on Emissions and Air Quality Using Positive Matrix Factorization

Emission controls targeting electric generating units (EGUs) and mobile sources have been implemented for decades to mitigate PM<sub>2.5</sub> concentrations. Impacts of emission controls on source-apportioned PM<sub>2.5</sub> concentrations (diesel/gasoline vehicles, biomass burning, secondary nitrate, secondary sulfate, soil/road dust, and residual oil estimated via positive matrix factorization) across three U.S. highly urbanized regions─Atlanta, New York City, and the South Coast Air Basin (SoCAB)─from 2005 to 2019 were evaluated. We considered major controls on EGUs, mobile sources, ports, and heating fuel. Daily counterfactual source-apportioned PM<sub>2.5</sub> concentrations without emission controls were estimated based on meteorological indicators and counterfactual emissions using the generalized additive model. Results indicate that emission controls reduced the PM<sub>2.5</sub> concentrations by 65-85% across all regions. Secondary sulfate concentrations without EGU controls would be 4.8 times higher, and diesel-vehicle-related PM<sub>2.5</sub> would increase 6.8 times without mobile controls in Atlanta. Secondary inorganic aerosols in New York City would increase 5-fold from 1.92 to 10.5 μg/m<sup>3</sup>, shifting the dominant PM<sub>2.5</sub> contributors. Seasonal trends in the counterfactual PM<sub>2.5</sub> concentrations were similar to the actual trends, but the peaks in the counterfactual scenario were clearer than those with emission controls.

Authors

Institutions

Publication Details

Journal
Environmental Science & Technology
Published
2025-04-24
DOI
https://doi.org/10.1021/acs.est.4c12511
Citations
5
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
6.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accountability Assessment of Source-Specific Impacts of Regulations on Emissions and Air Quality Using Positive Matrix Factorization

Stefanie Ebelt, Ziqi Gao, David Q. Rich, Xin He et al.
5 citations
Environmental Science & Technology
Air Quality and Health Impacts
6.00
article

Accountability Assessment of Source-Specific Impacts of Regulations on Emissions and Air Quality Using Positive Matrix Factorization

Stefanie Ebelt, Ziqi Gao, David Q. Rich, Xin He, Armistead G. Russell, Eric J. Mei
article en
5 citations

Abstract

Emission controls targeting electric generating units (EGUs) and mobile sources have been implemented for decades to mitigate PM<sub>2.5</sub> concentrations. Impacts of emission controls on source-apportioned PM<sub>2.5</sub> concentrations (diesel/gasoline vehicles, biomass burning, secondary nitrate, secondary sulfate, soil/road dust, and residual oil estimated via positive matrix factorization) across three U.S. highly urbanized regions─Atlanta, New York City, and the South Coast Air Basin (SoCAB)─from 2005 to 2019 were evaluated. We considered major controls on EGUs, mobile sources, ports, and heating fuel. Daily counterfactual source-apportioned PM<sub>2.5</sub> concentrations without emission controls were estimated based on meteorological indicators and counterfactual emissions using the generalized additive model. Results indicate that emission controls reduced the PM<sub>2.5</sub> concentrations by 65-85% across all regions. Secondary sulfate concentrations without EGU controls would be 4.8 times higher, and diesel-vehicle-related PM<sub>2.5</sub> would increase 6.8 times without mobile controls in Atlanta. Secondary inorganic aerosols in New York City would increase 5-fold from 1.92 to 10.5 μg/m<sup>3</sup>, shifting the dominant PM<sub>2.5</sub> contributors. Seasonal trends in the counterfactual PM<sub>2.5</sub> concentrations were similar to the actual trends, but the peaks in the counterfactual scenario were clearer than those with emission controls.

Environmental Science & TechnologyVol. 59(17)
Georgia Institute of Technology (US), Emory University (US), University of Rochester (US)
U.S. Environmental Protection Agency, Health Effects Institute
Climate action
Openalex Percentile: Top 4%
Air Quality and Health Impacts
6.00
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.