Exposure of PM2.5 and EC from diesel and gasoline vehicles in communities near the Ports of Los Angeles and Long Beach,California |
| |
| Authors: | Jun Wu Douglas Houston Fred Lurmann Paul Ong Arthur Winer |
| |
| Institution: | 1. School of Environment and Safety, Taiyuan University of Science and Technology, Taiyuan, China;2. State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China;1. State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, People''s Republic of China;2. School of Food and Chemical Engineering, Beijing Technology and Business University, Beijing 100048, People''s Republic of China;3. Institute of Energy, Environment and Economy, Tsinghua University, Beijing 100084, People''s Republic of China;4. State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Tsinghua University, Beijing 100084, People''s Republic of China;1. Key Laboratory of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi''an, China;2. South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, China;3. Air Quality Research Division, Science and Technology Branch, Environment and Climate Change Canada, Toronto, Canada;4. Guandong Environmental Monitoring Center, Guangzhou, China;5. Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing, China;6. School of Materials Science and Food Engineering, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan, China;7. RCE-TEA, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China |
| |
| Abstract: | The Ports of Los Angeles and Long Beach are the entry point for almost half of all cargo containers entering the United States. The use of diesel trucks to move Port-related goods has raised significant public health concerns associated with black carbon and other air pollutants. It is difficult to reliably estimate people's exposure to vehicle-related pollutants due to the narrow impact zone of traffic, usually within 200–300 m downwind of major roadways. Previous studies suffer from the lack of traffic count data on surface streets and the lack of neighborhood-level population data. We examined seasonal and annual average exposures of particulate matter less than 2.5 μm (PM2.5) and elemental carbon (EC) at a neighborhood scale for communities heavily impacted by diesel trucks near these ports. We assembled a traffic-activity database that distinguishes gasoline and diesel vehicles on both freeways and surface streets, by consolidating information from several sources, including our own field measurements. The CALINE4 model was used to estimate residential exposure of the study population to PM2.5 and EC. Parcel property data were used to allocate Census block group (BG) population to increase spatial resolution. The annual average PM2.5 and EC exposure due to local traffic was 3.8 and 0.4 μg m?3, respectively. On average, surface streets contributed a little more than freeways (55% vs. 45% for EC and 57% and 43% for PM2.5). Light-duty vehicles contributed significantly more than heavy-duty trucks for PM2.5 (61% vs. 39%), but slightly less than heavy-duty trucks for EC (49% vs. 51%). Community mean population exposure was similar using parcel, census block, and BG population data, but extreme values and standard deviations varied significantly at different spatial resolutions. The intake fraction for the study population was in the range of 1.0–2.2 × 10?5 by vehicle type, roadway type, and season. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
