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Impact of particulate nitrate photolysis on air quality over the Northern Hemisphere.

Authors :
Sarwar G
Hogrefe C
Henderson BH
Mathur R
Gilliam R
Callaghan AB
Lee J
Carpenter LJ
Source :
The Science of the total environment [Sci Total Environ] 2024 Mar 20; Vol. 917, pp. 170406. Date of Electronic Publication: 2024 Jan 26.
Publication Year :
2024

Abstract

We use the Community Multiscale Air Quality (CMAQv5.4) model to examine the potential impact of particulate nitrate (pNO <subscript>3</subscript> <superscript>-</superscript> ) photolysis on air quality over the Northern Hemisphere. We estimate the photolysis frequency of pNO <subscript>3</subscript> <superscript>-</superscript> by scaling the photolysis frequency of nitric acid (HNO <subscript>3</subscript> ) with an enhancement factor that varies between 10 and 100 depending on pNO <subscript>3</subscript> <superscript>-</superscript> and sea-salt aerosol concentrations and then perform CMAQ simulations without and with pNO <subscript>3</subscript> <superscript>-</superscript> photolysis to quantify the range of impacts on tropospheric composition. The photolysis of pNO <subscript>3</subscript> <superscript>-</superscript> produces gaseous nitrous acid (HONO) and nitrogen dioxide (NO <subscript>2</subscript> ) over seawater thereby increasing atmospheric HONO and NO <subscript>2</subscript> mixing ratios. HONO subsequently undergoes photolysis, producing hydroxyl radicals (OH). The increase in NO <subscript>2</subscript> and OH alters atmospheric chemistry and enhances the atmospheric ozone (O <subscript>3</subscript> ) mixing ratio over seawater, which is subsequently transported to downwind continental regions. Seasonal mean model O <subscript>3</subscript> vertical column densities without pNO <subscript>3</subscript> <superscript>-</superscript> photolysis are lower than the Ozone Monitoring Instrument (OMI) retrievals, while the column densities with the pNO <subscript>3</subscript> <superscript>-</superscript> photolysis agree better with the OMI retrievals of tropospheric O <subscript>3</subscript> burden. We compare model O <subscript>3</subscript> mixing ratios with available surface observed data from the U.S., Japan, the Tropospheric Ozone Assessment Report - Phase II, and OpenAQ; and find that the model without pNO <subscript>3</subscript> <superscript>-</superscript> photolysis underestimates the observed data in winter and spring seasons and the model with pNO <subscript>3</subscript> <superscript>-</superscript> photolysis improves the comparison in both seasons, largely rectifying the pronounced underestimation in spring. Compared to measurements from the western U.S., model O <subscript>3</subscript> mixing ratios with pNO <subscript>3</subscript> <superscript>-</superscript> photolysis agree better with observed data in all months due to the persistent underestimation of O <subscript>3</subscript> without pNO <subscript>3</subscript> <superscript>-</superscript> photolysis. Compared to the ozonesonde measurements, model O <subscript>3</subscript> mixing ratios with pNO <subscript>3</subscript> <superscript>-</superscript> photolysis also agree better with observed data than the model O <subscript>3</subscript> without pNO <subscript>3</subscript> <superscript>-</superscript> photolysis.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Published by Elsevier B.V.)

Details

Language :
English
ISSN :
1879-1026
Volume :
917
Database :
MEDLINE
Journal :
The Science of the total environment
Publication Type :
Academic Journal
Accession number :
38281631
Full Text :
https://doi.org/10.1016/j.scitotenv.2024.170406