My research involves use of in-situ data, satellite remote sensing data infused with the meteorological information, and application of machine learning techniques to obtain improved estimates of PM2.5. Broadly, my current project involves climate and air quality research, and I have worked with wide variety of model and remote sensing data.
This post is concerned about the dense urban observation in the summer database collected over the New York City over the years 2009-2012.
This database gives insights into the PM2.5 and O3 concentration in the urban setting. Specifically for New York City where these pollutants can affect about 8 million people. Two figures from summer 2010 are presented below showing the relative concentrations in reference to the background EPA measurements binned over the 15-day measurement period. The densely populated area show increased PM2.5 (ug/m3), while decreased O3 concentrations (ppb). Some interesting geo-chemistry going on!