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Summertime tropospheric ozone source apportionment study in the Madrid region (Spain). | LitMetric

AI Article Synopsis

  • * The study uses the Integrated Source Apportionment Method in the Community Multiscale Air Quality model to analyze the causes of summertime ozone levels in Madrid, revealing that about 70% of these levels come from non-local sources.
  • * Local emission sources, particularly road traffic, significantly contribute to ozone peaks, and the effectiveness of local measures is enhanced during unfavorable weather conditions, indicating that this modeling approach can guide future pollution control strategies.

Article Abstract

The design of emission abatement measures to effectively reduce high ground-level ozone (O) concentrations in urban areas is very complex. In addition to the strongly non-linear chemistry of this secondary pollutant, precursors can be released by a variety of sources in different regions, and locally produced O is mixed with that transported from the regional or continental scales. All of these processes depend also on the specific meteorological conditions and topography of the study area. Consequently, high-resolution comprehensive modeling tools are needed to understand the drivers of photochemical pollution and to assess the potential of local strategies to reduce adverse impacts from high tropospheric O levels. In this study, we apply the Integrated Source Apportionment Method (ISAM) implemented in the Community Multiscale Air Quality (CMAQ v5.3.2) model to investigate the origin of summertime O in the Madrid region (Spain). Consistent with previous studies, our results confirm that O levels are dominated by non-local contributions, representing around 70 % of mean values across the region. Nonetheless, precursors emitted by local sources, mainly road traffic, play a more important role during O peaks, with contributions as high as 25 ppb. The potential impact of local measures is higher under unfavorable meteorological conditions associated with regional accumulation patterns. These findings suggest that this modeling system may be used in the future to simulate the potential outcomes of specific emission abatement measures to prevent high-O episodes in the Madrid metropolitan area.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11151812PMC
http://dx.doi.org/10.5194/acp-24-4949-2024DOI Listing

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