An updated modeling framework to simulate Los Angeles air quality - Part 1: Model development, evaluation, and source apportionment.
| Autor: | Pennington EA; Department of Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA., Wang Y; Department of Earth System Science, Stanford University, Stanford, CA 94305, USA., Schulze BC; Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA.; Department of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA 91125, USA., Seltzer KM; Office of Air and Radiation, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA., Yang J; Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA.; Department of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA 91125, USA., Zhao B; State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China., Jiang Z; Carbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100084, China., Shi H; Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100084, China., Venecek M; Modeling and Meteorology Branch, California Air Resources Board, Sacramento, CA 95814, USA., Chau D; Modeling and Meteorology Branch, California Air Resources Board, Sacramento, CA 95814, USA., Murphy BN; Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA., Kenseth CM; Department of Chemistry, California Institute of Technology, Pasadena, CA 91125, USA., Ward RX; Department of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA 91125, USA., Pye HOT; Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA., Seinfeld JH; Department of Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.; Department of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA 91125, USA. |
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| Jazyk: | angličtina |
| Zdroj: | Atmospheric chemistry and physics [Atmos Chem Phys] 2024 Feb 23; Vol. 24 (4), pp. 2345-2363. |
| DOI: | 10.5194/acp-24-2345-2024 |
| Abstrakt: | This study describes a modeling framework, model evaluation, and source apportionment to understand the causes of Los Angeles (LA) air pollution. A few major updates are applied to the Community Multiscale Air Quality (CMAQ) model with a high spatial resolution (1 km × 1 km). The updates include dynamic traffic emissions based on real-time, on-road information and recent emission factors and secondary organic aerosol (SOA) schemes to represent volatile chemical products (VCPs). Meteorology is well predicted compared to ground-based observations, and the emission rates from multiple sources (i.e., on-road, volatile chemical products, area, point, biogenic, and sea spray) are quantified. Evaluation of the CMAQ model shows that ozone is well predicted despite inaccuracies in nitrogen oxide (NO Competing Interests: Competing interests. At least one of the (co-)authors is a member of the editorial board of Atmospheric Chemistry and Physics. The peer-review process was guided by an independent editor, and the authors also have no other competing interests to declare. |
| Databáze: | MEDLINE |
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