Air quality is degraded by many factors, among which the emissions from on-road vehicles play a significant role. Timely and accurate estimate of such emissions becomes very important for policy-making and effective control measures. However, lack of traffic data and outdated emission software make this task difficult. This research has demonstrated a new method that facilitates the vehicular emission inventories at the local level by using shorter-time Highway Performance Monitoring System (HPMS) traffic data along with the latest U.S. Environment Protection Agency (EPA) emission modeling software, MOBILE6. The conversion methodology was developed for converting readily available HPMS traffic volume data into EPA MOBILE-based traffic classifications, and a corresponding software program was written for automating the process. EPA MOBILE6 model was used to obtain emissions of nitrogen oxides (NOx), volatile organic compound (VOC), and cabon monoxide (CO) emitted by the parent traffic and subsampled traffic data, and these emissions were additionally compared. The case study has shown that the difference of the magnitude between the emission estimates produced by certain subsampled and parent traffic data are minor, indicating that subsampled HPMS data can be used for reporting parent traffic emissions. It was also observed that traffic emissions follow a Weibull distribution, and NOx emissions were more sensitive to the traffic data composition than VOC and CO. Lastly, use of average emission values of 20 or 30 consecutive minutes appears to be valid for representing hourly emissions. Copyright 2005 Air & Waste Management Association.
Use of subsampled traffic data to estimate roadway emissions, including conversion to MOBILE6 vehicle classifications
Der Einsatz aus Kurzzeit-Beobachtungen gewonnener Verkehrsdaten zur Abschätzung der Verkehrs-Emissionen, einschließlich Datenkonversion entsprechend MOBILE6 Fahrzeugklassierung
Journal of the Air and Waste Management Association ; 55 , 8 ; 1245-1253
2005
9 Seiten, 6 Quellen
Article (Journal)
English
Politik , Automatisierung , Prozesssteuerung , Schadstoffemission , Straßenverkehr , Kraftfahrzeug , Schadstoffbelastung , Umweltbelastung , Multimomentverfahren , Datenanalyse , Datenerfassung , Anwenderprogramm , Umweltschutz , USA (United States of America) , Behörde , Modellsimulation , Stickoxid , Kohlenmonoxid , Weibull-Verteilung , Luftqualität
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