H. Kuhns et al., Testing Re-entrained Aerosol Kinetic Emissions from Roads (TRAKER): a new approach to infer silt loading on roadways, ATMOS ENVIR, 35(16), 2001, pp. 2815-2825
PM10 and PM2.5 emissions from roadways are currently estimated using the si
lt loading on the road surface as a surrogate for the emissions potential o
f road dust. While the United States Environmental Protection Agency prescr
ibes this method in AP-42, there is considerable cost associated with silt
loading measurements, it is feasible to sample only a small portion of a ro
adway network. A new approach for measuring the concentration of suspendabl
e PM10 above road surfaces has been developed to obtain a more spatially re
presentative estimate of a road's potential to emit dust. The Testing Re-en
trained Aerosols Kinetic Emissions from Roads (TRAKER) system uses real-tim
e aerosol sensors mounted on a vehicle to measure the concentration of dust
suspended from the road while the vehicle is in motion. When coupled with
a Global Positioning System (GPS) instrument, TRAKER can be used to efficie
ntly survey the changes in the suspendable particle reservoir due to varyin
g road conditions over a large spatial domain.
In a recent study on paved roads in Las Vegas, the TRAKER system was compar
ed with collocated silt loading measurements. The TRAKER system was also us
ed to survey the relative amounts of suspendable road dust on approximately
300 miles of paved roads. The system provides a unique perspective on road
dust sources and their spatial distribution.
Results of this study indicated that the difference of the PM10 concentrati
ons measured behind the tire and on the hood is exponentially related to ve
hicle speed. This was an interesting finding because current AP-42 road dus
t emissions estimation methods do not include vehicle speed as a factor in
the emissions calculations. The experiment also demonstrated that the distr
ibution of suspendable material on roadways is highly variable and that a l
arge number of samples are needed to represent road dust emissions potentia
l on an urban scale for a variety of road and activity conditions. (C) 2001
Published by Elsevier Science Ltd.