<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Baker KR</submitter><funding>Intramural EPA</funding><pagination>14626-14637</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11646552</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>57(39)</volume><pubmed_abstract>Reduced complexity tools that provide a representation of both primarily emitted particulate matter with an aerodynamic diameter less than 2.5 μm (PM&lt;sub>2.5&lt;/sub>), secondarily formed PM&lt;sub>2.5&lt;/sub>, and ozone (O&lt;sub>3&lt;/sub>) allow for a quick assessment of many iterations of pollution control scenarios. Here, a new reduced complexity tool, Pattern Constructed Air Pollution Surfaces (PCAPS), that estimates annual average PM&lt;sub>2.5&lt;/sub> and seasonal average maximum daily average 8 h (MDA8) O&lt;sub>3&lt;/sub> for any source location in the United States is described and evaluated. Typically, reduced complexity tools are not evaluated for skill in predicting change in air pollution by comparison with more sophisticated modeling systems. Here, PCAPS was compared against multiple types of emiss</pubmed_abstract><journal>Environmental science &amp; technology</journal><pubmed_title>Source-Receptor Relationships Between Precursor Emissions and O&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; and PM&amp;lt;sub&amp;gt;2.5&amp;lt;/sub&amp;gt; Air Pollution Impacts.</pubmed_title><pmcid>PMC11646552</pmcid><funding_grant_id>EPA999999</funding_grant_id><pubmed_authors>Tucker C</pubmed_authors><pubmed_authors>Zinsmeister E</pubmed_authors><pubmed_authors>Simon H</pubmed_authors><pubmed_authors>Baker KR</pubmed_authors><pubmed_authors>Henderson B</pubmed_authors><pubmed_authors>Cooley D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Source-Receptor Relationships Between Precursor Emissions and O&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; and PM&amp;lt;sub&amp;gt;2.5&amp;lt;/sub&amp;gt; Air Pollution Impacts.</name><description>Reduced complexity tools that provide a representation of both primarily emitted particulate matter with an aerodynamic diameter less than 2.5 μm (PM&lt;sub>2.5&lt;/sub>), secondarily formed PM&lt;sub>2.5&lt;/sub>, and ozone (O&lt;sub>3&lt;/sub>) allow for a quick assessment of many iterations of pollution control scenarios. Here, a new reduced complexity tool, Pattern Constructed Air Pollution Surfaces (PCAPS), that estimates annual average PM&lt;sub>2.5&lt;/sub> and seasonal average maximum daily average 8 h (MDA8) O&lt;sub>3&lt;/sub> for any source location in the United States is described and evaluated. Typically, reduced complexity tools are not evaluated for skill in predicting change in air pollution by comparison with more sophisticated modeling systems. Here, PCAPS was compared against multiple types of emiss</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Oct</publication><modification>2025-04-18T12:57:19.812Z</modification><creation>2025-04-06T22:25:36.734Z</creation></dates><accession>S-EPMC11646552</accession><cross_references><pubmed>37721376</pubmed><doi>10.1021/acs.est.3c03317</doi></cross_references></HashMap>