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Latest News for November 15th, 2019

Data Science and Environmental Systems: Applications of Deterministic Models, Optimization, and Machine Learning to Address Multi-scale Air Quality Challenges

Globally, human exposure to air pollution is a known risk factor for increased morbidity and mortality, and its chemical composition can vary significantly by region and season. Variabilities are largely driven by topography, meteorology, land cover, and human activities. State-of-the-science air quality modeling systems, such as the U.S. EPA’s Community Multiscale Air Quality (CMAQ) model...