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Combining continuous near-road monitoring and inverse modeling to isolate the effect of highway expansion on a school in Las Vegas
Citation:
VEDANTHAM, R., G. A. NORRIS, S. G. Brown, AND P. ROBERTS. Combining continuous near-road monitoring and inverse modeling to isolate the effect of highway expansion on a school in Las Vegas . Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir, Turkey, 3(1):105-111, (2012).
Impact/Purpose:
The National Exposure Research Laboratory′s (NERL′s) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in support of EPA′s mission to protect human health and the environment. HEASD′s research program supports Goal 1 (Clean Air) and Goal 4 (Healthy People) of EPA′s strategic plan. More specifically, our division conducts research to characterize the movement of pollutants from the source to contact with humans. Our multidisciplinary research program produces Methods, Measurements, and Models to identify relationships between and characterize processes that link source emissions, environmental concentrations, human exposures, and target-tissue dose. The impact of these tools is improved regulatory programs and policies for EPA.
Description:
The impact of a highway expansion on a school adjacent to the highway is investigated with a novel method called the Sustained Wind Incidence Method (SWIM). SWIM falls under the broad group of environmental forensics methods where measured concentration data are used to identify possible contributors such as a point, line or a sectional source. SWIM helps to identify potential sources by highlighting spatial domains associated with the markers unique to potential contributors. In this study, SWIM is used to identify sources of traffic related emissions. The marker used to measure the impact of the traffic due to expansion is black carbon (BC), a key traffic related emission mostly associated with large vehicles (>12 m in length), collected both before and after the expanded lanes were open for use. Using this method, multiple source domains may be simultaneously identified. For this study, the data collection site was situated at the school about 20 meters from the sound wall (7 meters high) separating the school and the highway. SWIM results show that the road expansions may have impacted the traffic patterns of the nearby non–highway feeder road and on–ramp (adjacent to the sound wall) traffic to the highway. This sector showed a surprisingly larger change than the highway in the observed increase in their relative contribution to the receptor site. Some domains (apportioned sector) show a dramatic increase ranging roughly from 10% to 50% in relative contributions. Using the output from SWIM and knowledge of local contributors, a local source landscape is painted.
URLs/Downloads:
Combining continuous near-road monitoring and inverse modeling to isolate the effect of highway expansion on a school in Las Vegas (PDF, NA pp, 472 KB, about PDF)Atmospheric Pollution Research
