Journal
ATMOSPHERIC ENVIRONMENT
Volume 54, Issue -, Pages 168-176Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2012.02.079
Keywords
Tropospheric chemistry; Hydroxyl radical; Nitrous acid sources; Secondary pollutants formation; Air quality modeling
Funding
- CALIOPE project of the Spanish Ministry of the Environment [441/2006/3-12.1, A357/2007/2-12.1,157/PC08/3-12.0]
- Spanish Ministry of Science and Innovation [CGL2008-02818-CLI, CGL2010-19652]
- Direct For Mathematical & Physical Scien [909227] Funding Source: National Science Foundation
- Division Of Chemistry [909227] Funding Source: National Science Foundation
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Nitrous acid (HONO) photolysis constitutes a primary source of OH in the early morning, which leads to changes in model gas-phase and particulate matter concentrations. However, state-of-the-art models of chemical mechanisms share a common representation of gas-phase chemistry leading to HONO that fails in reproducing the observed profiles. Hence, there is a growing interest in improving the definition of additional HONO sources within air quality models, i.e. direct emissions or heterogeneous reactions. In order to test their feasibility under atmospheric conditions, the WRF-ARW/HERMES/CMAQ modeling system is applied with high horizontal resolution (4 x 4 km(2)) to Spain for November 24-27, 2008. HONO modeled sources include: (1) direct emissions from on-road transport; NO2 hydrolysis on aerosol and ground surfaces, the latter with (2) kinetics depending exclusively on available surfaces for reaction and (3) refined kinetics considering also relative humidity dependence; and (4) photoenhanced NO2 reduction on ground surfaces. The DOMINO measurement campaign performed in El Arenosillo (Southern Spain) provides valuable HONO observations. Modeled HONO results are consistently below observations, even when the most effective scenario is assessed, corresponding to contributions of direct emissions and NO2 hydrolysis with the simplest kinetics parameterization. With the additional sources of HONO, PM2.5 predictions can be up to 14% larger in urban areas. Quantified impacts on secondary pollutants have to be taken as a low threshold, due to the proven underestimation of HONO levels. It is fundamental to improve HONO sources definition within air quality models, both for the scientific community and decision makers. (C) 2012 Elsevier Ltd. All rights reserved.
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