Googling Air Pollution

Aclima, a start-up company that develops sensor networks, has partnered with Google and EPA to roll out an unprecedented fleet of mobile air quality monitors in Los Angeles, San Francisco, and California’s Central Valley. Although these monitors boast some of the latest sensor technology, they’ll still be familiar to many: They’re the same vehicles Google uses to capture photos for its popular Street View feature in Google Maps. “Our goal is to create a new class of data that will be made available to communities, scientists, and air quality experts—as well as on Google Earth and Google Maps,” Aclima CEO and cofounder Davida Herzl said. Although California already has dozens of air monitoring stations, their stationary nature prevents them from creating detailed street-level maps of air quality, especially in urban areas where pollutant concentrations can vary greatly block to block. The mobile monitors will carry sensor arrays to measure multiple pollutants, including soot, ozone, and nitrogen oxide gases (NOx). The company has adapted state-of-the-art commercial sensors to meet its needs, but it’s also working with research partners to bring brand-new technology to its arsenal, Herzl says. The current fleet will provide useful data, especially for showing what people are exposed to as they drive, says Barbara J. Finlayson-Pitts, an atmospheric chemist at the University of California, Irvine, who is not involved with the project. “You want to know in real time, and in real places, what people are exposed to,” she says. “It’s hard to extrapolate that from stationary monitors.” But roadway measurements may not capture everything. For example, NOx emitted by vehicles interacts with ozone, meaning the pollution profile measured by a car’s sensor will differ from conditions off the streets, Finlayson-Pitts explains. “This platform is a good first start,” she says. “But it’s not going to solve all our problems immediately.” The platform will, however, provide new data to better inform air quality models and forecasts, Herzl says. “This gets us unequalled spatial coverage.”

Chemical & Engineering News, 1 October 2015 ; ;