Exposure to diesel-related air pollution,
which includes black
carbon (BC) as a major component of the particulate matter emitted
in engine exhaust, is a known human health hazard. The resulting health
burden falls heavily on vulnerable communities located close to major
sources including highways, rail yards, and ports. Determination of
source contributions to the overall pollution burden is challenging
due to collinearity in the exhaust composition profiles for relevant
sources including heavy-duty diesel trucks, railroad locomotives,
cargo-handling equipment, and marine engines. Additionally, the impact
of each source depends not just on the magnitude of emissions but
on its location relative to receptors as well as on meteorology. We
modeled source-resolved BC concentrations in West Oakland, California,
at a high (150 m) spatial resolution using the Weather Research and
Forecasting model. The ability of the model to predict hourly and
24 h average BC concentrations is evaluated for a 100-day period in
summer 2017 when BC was measured at 100 sites within the community.
We find that a community monitoring site is representative of population-weighted
average BC exposure in the community. Major contributing sources to
BC in West Oakland include on-road diesel trucks (44 ± 5%) and
three off-road diesel sources: ocean-going vessels (19 ± 1%),
railroad locomotives (16 ± 2%), and harbor craft such as tugboats
and ferries (11 ± 1%).