Descripción
Urban Air Quality Modeling
This study reports a very high-resolution (400 m grid-spacing) operational air quality forecasting system developed to alert residents of Delhi and the National Capital Region (NCR) about forthcoming acute air pollution episodes. The system assimilates near real-time aerosol observations from in situ (260 stations) and space-borne platform in the Weather Research and Forecasting model coupled...
The COVID-19 outbreak has caused significant reductions in traffic and economic activities, impacting anthropogenic emissions and urban air quality. The covid perturbation on the emissions are estimated by comparing publicly available energy and economic datasets between 2019 and 2020. The perturbation impacts are then evaluated by comparing the Weather Research and Forecasting with Chemistry...
Atmospheric pollution is an important issue in urban areas, posing a major threat to health and climate. Streets, where populations are exposed, often present high concentrations of nitrogen oxides and fine particles composed by black carbon, organic and inorganic compounds. These pollutants may have important effects on human health, including asthma and cancer. Here, multi-scale simulations...
The Michigan-Ontario Ozone Source Experiment (MOOSE) was designed to understand what contributes to ozone exceedance events in the southeastern Michigan and southwestern Ontario border region. Measurements were collected using advance remote sensing and mobile laboratories, which complement the existing hourly network measurements by both counties. High resolution, real-time meteorological and...
Associated with increasing worldwide urbanization, and despite efforts made to reduce airborne concentrations of primary pollutants, air quality remains a concern in urban areas. Especially during short-term pollution episodes that can lead to exceedances of air quality standards. Furthermore, exposure to elevated levels of air pollution may result in various adverse health effects.
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