CMAQ
CMAQ is an acronym for the Community Multiscale Air Quality Model,[1][2] a sophisticated three-dimensional Eulerian grid chemical transport model developed by the US EPA for studying air pollution from local to hemispheric scales. EPA and state environmental agencies use CMAQ to develop and assess implementation actions needed to attain National Ambient Air Quality Standards (NAAQS) defined under the Clean Air Act. CMAQ simulates air pollutants of concern—including ozone, particulate matter (PM), and a variety of air toxics — to optimize air quality management. Deposition values from CMAQ are used to assess ecosystem impacts such as eutrophication and acidification from air pollutants. In addition, the National Weather Service uses CMAQ to produce twice-daily forecast guidance for ozone air quality across the U.S. CMAQ unites the modeling of meteorology, emissions, and chemistry to simulate the fate of air pollutants under varying atmospheric conditions. Other kinds of models—including crop management and hydrology models— can be linked with the CMAQ simulations, as needed, to simulate pollution more holistically across environmental media.
CMAQ is developed and maintained by scientists in EPA’s Office of Research and Development,[3] and new versions of the software are made publicly available through regular public releases.[4]
CMAQ may also refer to the Congestion Mitigation and Air Quality Improvement Program, a program of the United States Department of Transportation.[5]
References
- US EPA, ORD (2016-09-27). "CMAQ: The Community Multiscale Air Quality Modeling System". US EPA. Retrieved 2021-02-12.
- "Community Modeling and Analysis (CMAS) - CMAQ". Cmascenter.org. 2014-10-24. Retrieved 2015-06-03.
- US EPA, OA (2020-05-05). "About the Office of Research and Development (ORD)". US EPA. Retrieved 2021-02-12.
- USEPA/CMAQ, U.S. Environmental Protection Agency, 2021-02-05, retrieved 2021-02-12
- "Congestion Mitigation and Air Quality Improvement (CMAQ) Program". U.S. Department of Transportation. Retrieved 4 November 2015.