Intra-continental wildfire smoke transport and impact on local air quality observed by ground-based and satellite remote sensing in New York City

Publication date: August 2018
Source:Atmospheric Environment, Volume 187
Author(s): Yonghua Wu, Anjeza Arapi, Jianping Huang, Barry Gross, Fred Moshary
The wildfires in Fort McMurray of Alberta, Canada, injected large amounts of smoke aerosols in May 2016 and were identified as being one of Canada's major weather events of the year. This paper presents a synergistic remote sensing and in-situ measurement of the resultant smoke plume transport, optical properties, and its impacts on local air quality in New York City (NYC). Comparisons with the operational air quality model forecast (the NOAA National Air Quality Forecasting Capability, NAQFC) performance are presented. The aloft plume intrusions on May 9–13 and 25–29, 2016, and their mixing down into the planetary-boundary layer (PBL) were observed by a combined lidar, ceilometer and other measurement. A decrease in single-scattering albedo and absorption Angstrom exponent near one indicates that the plumes were absorbing aerosol dominated. Dramatic impacts of smoke transport on the ground air quality are demonstrated with a coincident increase of ground PM2.5 (from 5- to 25–30 μg/m³) in NYC urban and upwind rural area, enhancement of the PM2.5 speciation (organic carbon, elemental carbon, potassium ion (K⁺)) and the ozone exceedance of NAAQS. Using the satellite and model product, we show regional spatial distribution of smoke, multiple transport paths and wildfire sources. Finally, with the lidar vertical profiling observations, we evaluate the model PBL-height (PBLH) and PM2.5 during May 24th to 30th, 2016. The model PBLH shows consistent diurnal variation with the observed mixing layer height (MLH), but is clearly overestimated during the convective daytime hours. On the other hand, when estimating the MLH directly from the model PM2.5 profile, better agreement with observation was indicated. This helps explain the good agreement between the model PM2.5 and surface measurements except for the model overestimate during the morning of May 25 and 26, 2016.

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