Air Quality Alerts, Health Impacts, and Adaptation Implications Under Varying Climate Policy

Without emission reductions, climate change may increase ozone and PM<sub>2.5</sub> air pollution in the United States; however, we do not know how this will affect air quality alerts that prompt people to stay indoors. Here, we use an integrated modeling framework to find distributions of daily Air Quality Index (AQI) during the smog season at the start, middle, and end-of-century. Considering natural variability, climate change may cause air quality alerts to double (increase by a factor of 2 ± 0.2) by 2100. Days when both ozone and PM<sub>2.5</sub> exceed alert thresholds quadruple (4.3 ± 1.2). More than 100,000,000 (±45,000,000) people experience mean air pollution deemed "Unhealthy for Sensitive Groups", a growth of 7 (±3) times compared to 2000. If people follow alerts by staying inside, they reduce exposure to outdoor-generated pollutants. Their health benefits are similar whether the alert is caused by ozone or PM<sub>2.5</sub>. Senior (age 65+) populations receive much higher benefits per day by adapting (e.g., 95CI for PM<sub>2.5</sub>: $4.60 to $147) as young adults (age 18-35; 95CI: $0.15 to $4.22)─more than 45 times higher on average. This disproportionate impact requires targeted messaging and guidance, especially as climate-related risks rise.

Authors

Institutions

Publication Details

Journal
Environmental Science & Technology
Published
2026-03-22
DOI
https://doi.org/10.1021/acs.est.5c12522
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Air Quality Alerts, Health Impacts, and Adaptation Implications Under Varying Climate Policy

Matt Sparks, Erwan Monier, Rebecca K. Saari, Fernando Garcia-Menendez et al.
Environmental Science & Technology
Air Quality and Health Impacts
article

Air Quality Alerts, Health Impacts, and Adaptation Implications Under Varying Climate Policy

Matt Sparks, Erwan Monier, Rebecca K. Saari, Fernando Garcia-Menendez, James D. East
article en

Abstract

Without emission reductions, climate change may increase ozone and PM<sub>2.5</sub> air pollution in the United States; however, we do not know how this will affect air quality alerts that prompt people to stay indoors. Here, we use an integrated modeling framework to find distributions of daily Air Quality Index (AQI) during the smog season at the start, middle, and end-of-century. Considering natural variability, climate change may cause air quality alerts to double (increase by a factor of 2 ± 0.2) by 2100. Days when both ozone and PM<sub>2.5</sub> exceed alert thresholds quadruple (4.3 ± 1.2). More than 100,000,000 (±45,000,000) people experience mean air pollution deemed "Unhealthy for Sensitive Groups", a growth of 7 (±3) times compared to 2000. If people follow alerts by staying inside, they reduce exposure to outdoor-generated pollutants. Their health benefits are similar whether the alert is caused by ozone or PM<sub>2.5</sub>. Senior (age 65+) populations receive much higher benefits per day by adapting (e.g., 95CI for PM<sub>2.5</sub>: $4.60 to $147) as young adults (age 18-35; 95CI: $0.15 to $4.22)─more than 45 times higher on average. This disproportionate impact requires targeted messaging and guidance, especially as climate-related risks rise.

Environmental Science & Technology
North Carolina State University (US), University of Waterloo (CA), Thuyloi University (VN), Harvard University Press (US), University of California System (US)
Climate action
Openalex Percentile: Top 12%
Air Quality and Health Impacts
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.