AAAR 36th Annual Conference October 16 - October 20, 2017 Raleigh Convention Center Raleigh, North Carolina, USA
Abstract View
Mobile Measurements of PM, NOx, and O3 Across California Using Google Street View Cars
ANDREW WHITEHILL, Surender Kaushik, Paul A. Solomon, Ashok K. Singh, Melissa M. Lunden, Okorie Puryear, Brian LaFranchi, Davida Herzl, U.S. EPA, Office of Reserach and Development
Abstract Number: 385 Working Group: Urban Aerosols
Abstract Understanding the spatial and temporal variability of particulate matter (and other air pollutants) in urban environments is important for improved understanding of human exposure and risk assessment. In collaboration with Google, Inc. and the United States Environmental Protection Agency, Aclima, Inc. performed a series of mobile air pollution monitoring campaigns across California over the past 12 months. Two Google Street View vehicles were equipped with the Aclima Environmental Intelligence ™ measurement and data acquisition platform. This platform provides data management, quality control, and visualization functions, facilitating extensive, routine measurements. We measured size-fractionated particulate matter (0.3 – 0.5 µm, 0.5 – 0.7 µm, 0.7 – 1.0 µm, 1.0 – 1.5 µm, 1.5 – 2.5 µm, and 2.5 µm and larger) and gas-phase pollutants (NO, NO2, and O3) using a suite of fast time-response reference-grade equipment. Measurements were conducted in a series of 2 – 4 month targeted measurement campaigns in San Francisco, Los Angeles, and the Central Valley.
We present preliminary results from the analysis of a large (over 10 million one-second observations), multidimensional, spatiotemporal air pollution dataset measured from 2 – 4 Google Street View cars over a period of 12+ months. We explore the variability of different parameters and their correlations to provide insights into (1) relationships between pollutants and (2) spatial and temporal patterns in the data.