Two research highlights: Quantifying in-use performance of diesel truck pollutant emission controls, and Community-wide black carbon air pollution sensor networks to support AB617 efforts in California
Abstract:
This seminar will present highlights from ongoing research efforts. (i) We developed and built low-cost black carbon (BC) sensors and, in close partnership with the community of West Oakland, deployed 100 sensors for 100 days in the summer of 2017. We observed that spatiotemporal patterns in BC concentrations were driven by truck activity within the community. Later this year, we will redeploy the BC sensors in other AB617 communities. (ii) Using a plume capture, carbon balance method, we have quantified pollutant emissions from thousands of in-use heavy-duty diesel trucks at three on-road sites in the San Francisco Bay Area over the last decade. These data reveal emission-control technology benefits due to reduced black carbon and nitrogen oxide emissions, though not without concurrent increases in emissions of ammonia and nitrous oxide.
Bio:
 |
Dr. Kirchstetter is a Senior Scientist and the Director of the Energy Analysis and Environmental Impacts Division at Lawrence Berkeley National Laboratory. He holds a concurrent appointment as an Adjunct Professor in Civil & Environmental Engineering at UC Berkeley. Kirchstetter is well known for his research on the optical properties of carbonaceous aerosols and the quantification of emissions from motor vehicles. His current research interests in air pollution science and technology include the in-use performance and durability of vehicle emission controls, the environmental impact of freight transport, low-cost air pollution sensors, and waste-to-energy systems. |
