Author Description

In this thesis, I present the conceptual combination of the tunnel study with remote sensing. In other words, I present a technique for measuring fleet-averaged modal emissions from a large aggregate population of vehicles (as in a tunnel study), which employs relatively simple and rugged spectroscopic techniques (as in remote sensing). In combining these two ideas, even more flexibility in measurement location and traffic conditions is achieved, ensuring as random and representative a sampling of the vehicle population as is possible. In that sense, this approach could be referred to as "A Tunnel-less Tunnel Study," since it combines the inherent fleet-averaging ability of the tunnel study with the mobility of remote sensing. Specifically, this method combines both OP-FTIR and OP-UV spectroscopy and uses some local meteorological data collection to filter the data for appropriate weather conditions.