Author(s): Milan Patel, University of California Berkeley (First Author, Presenting Author) Naomi Asimow, University of California Berkeley Anna Winter, University of California Berkeley Yishu Zhu, University of California Berkeley Ronald Cohen, University of California, Berkeley
Point source emitters often account for a large fraction of total greenhouse gas and air pollutant emissions within cities, making it important to expand methods for quantifying these sources. Here, we use a network of sensors to measure CO2 and CO emissions from an oil refinery in the San Francisco Bay Area. By modeling the spread of the emissions from the source, concentrations measured at various sites are converted into an estimated emission rate for the source. Calculations of CO2 emissions from the refinery closely match independent inventories and measurements, whereas CO emissions are observed to be much higher than estimated in local inventories.
