{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T03:06:17Z","timestamp":1769655977273,"version":"3.49.0"},"reference-count":82,"publisher":"American Geophysical Union (AGU)","issue":"1","license":[{"start":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T00:00:00Z","timestamp":1768867200000},"content-version":"vor","delay-in-days":19,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["agupubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["GeoHealth"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    The adjoint of the U.S. EPA's Community Multiscale Air Quality (CMAQ) model is extended for hemispheric scale applications and is used to estimate location\u2010specific health impacts from primary PM\n                    <jats:sub>2.5,<\/jats:sub>\n                    and PM\n                    <jats:sub>2.5<\/jats:sub>\n                    precursor emissions (NH\n                    <jats:sub>3<\/jats:sub>\n                    , NO\n                    <jats:sub>X<\/jats:sub>\n                    and SO\n                    <jats:sub>2<\/jats:sub>\n                    ). We estimate the monetized health burden due to mortality caused by chronic PM\n                    <jats:sub>2.5<\/jats:sub>\n                    exposure among adults living in the northern hemisphere, using a generalized concentration\u2010response function. The health impact sensitivities show large spatial variability over the northern hemisphere and exhibit a great deal of seasonal variability, especially for inorganic precursor emissions. The largest marginal impacts are seen for NH\n                    <jats:sub>3<\/jats:sub>\n                    and primary PM\n                    <jats:sub>2.5<\/jats:sub>\n                    . The estimated health impacts for a 10% reduction in emissions reveal a hemispheric burden of 513,700 avoided mortality and monetized health benefits at above 1.2 trillion USD\n                    <jats:sub>2016<\/jats:sub>\n                    . The largest regional contribution to hemispheric mortality is found to be in East and South Asia, particularly China and India (183,760 and 123,440 for a 10% reduction in emissions, respectively). Monetized health burdens are estimated to be highest in China and Europe (\u223c365 and \u223c252 million USD for a 10% reduction in emissions) while it is relatively similar in India (\u223c175 million USD) as in Canada and the United States (\u223c177 million USD). Sectoral source contribution analysis demonstrates that the agriculture (19%) and residential (15%) sectors are the largest contributors to the northern hemispheric scale health burden, however, regional differences exist in the results. Examining location\u2010 and sector\u2010specific health impacts can inform more effective regulatory measures.\n                  <\/jats:p>","DOI":"10.1029\/2025gh001533","type":"journal-article","created":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T07:42:53Z","timestamp":1768981373000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Source Attribution of PM\n                    <sub>2.5<\/sub>\n                    Health Benefits Over Northern Hemisphere Using Adjoint of Hemispheric CMAQ"],"prefix":"10.1029","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8474-7000","authenticated-orcid":false,"given":"Y. 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