You are here:
Inverse modeling to estimate local source contributions in a complex environment with nearby port, airport, highway, and industrial sources
Citation:
Hagler, G., D. Birkett, R. Henry, R. Peltier, P. Pant, AND E. Thoma. Inverse modeling to estimate local source contributions in a complex environment with nearby port, airport, highway, and industrial sources. Presented at AWMA Annual Meeting, New Orleans, LA, June 20 - 23, 2016.
Impact/Purpose:
This is a poster that will be presented at the AWMA annual conference in New Orleans. The poster discusses the R2PIER project, which is a RARE study that involved measuring multiple air pollutants and meteorology at a one-minute resolution, over a three-year time span, near the Port of New York and new Jersey. The purpose of the presentation is to summarize the project and preliminary analysis results to a technical audience.
Description:
Source apportionment is challenging in urban environments with clustered sourceemissions that have similar chemical signatures. A field and inverse modeling studywas conducted in Elizabeth, New Jersey to observe gaseous and particulate pollutionnear the Port of New York and New Jersey, over 2012-2015. The Port of New Yorkand New Jersey is one of the largest ports, in terms of container traffic, in the United States and also has a significant surrounding population. A measurement station was situated to minimize collinear sources, located in an environment surrounded by a port terminal, shipping traffic, a major airport, a major highway, and multiple industrial sources. Meteorology and multiple pollutant parameters (carbon monoxide, sulfur dioxide, oxides of nitrogen, black carbon, and PM2.5) were measured at a high time resolution (1 minute), supporting estimation of contributing source locations on a minute-by-minute basis via the nonparametric trajectory analysis (NTA) model. Surrounding source activity indicators, such as ship navigation data, were utilized to interpret the temporal and spatial trends. In addition, conventional receptor modeling (e.g., PMF) was applied on hourly particulate metals measurements conducted via XRay Fluorescence (XRF), as well as the gaseous and particulate matter data, conducted for ~1 year at the same site. The hourly resolution of the metals data also supported wind-directional analyses to estimate locations of local sources. This combined measurement and modeling strategy was able to resolve multiple source areas geographically, and reveal significant shifts in source signals over time.