DOI: 10.1016/j.atmosenv.2014.05.065
Scopus记录号: 2-s2.0-84901985237
论文题名: Spatial resolution requirements for traffic-related air pollutant exposure evaluations
作者: Batterman S ; , Chambliss S ; , Isakov V
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 94 起始页码: 518
结束页码: 528
语种: 英语
英文关键词: Air pollution
; Exposure
; Exposure misclassification
; Traffic
Scopus关键词: Image resolution
; Interpolation
; Meteorology
; Nitrogen oxides
; Surveys
; Telecommunication traffic
; Air pollutant concentrations
; Exposure
; Exposure misclassification
; Inverse distance-weighted interpolation
; Nearest-neighbor approaches
; Spatial and temporal patterns
; Spatial and temporal variation
; Traffic-related pollutants
; Air pollution
; nitrogen oxide
; atmospheric pollution
; concentration (composition)
; health impact
; nitrogen oxides
; pollution exposure
; roadside environment
; spatial resolution
; traffic emission
; urban area
; air pollution indicator
; article
; atmospheric dispersion
; environmental exposure
; environmental planning
; exhaust gas
; health hazard
; meteorological phenomena
; priority journal
; spatial analysis
; urban area
; Detroit
; Michigan
; United States
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Vehicle emissions represent one of the most important air pollution sources in most urban areas, and elevated concentrations of pollutants found near major roads have been associated with many adverse health impacts. To understand these impacts, exposure estimates should reflect the spatial and temporal patterns observed for traffic-related air pollutants. This paper evaluates the spatial resolution and zonal systems required to estimate accurately intraurban and near-road exposures of traffic-related air pollutants. The analyses use the detailed information assembled for a large (800km2) area centered on Detroit, Michigan, USA. Concentrations of nitrogen oxides (NOx) due to vehicle emissions were estimated using hourly traffic volumes and speeds on 9700 links representing all but minor roads in the city, the MOVES2010 emission model, the RLINE dispersion model, local meteorological data, a temporal resolution of 1h, and spatial resolution as low as 10m. Model estimates were joined with the corresponding shape files to estimate residential exposures for 700,000 individuals at property parcel, census block, census tract, and ZIP code levels. We evaluate joining methods, the spatial resolution needed to meet specific error criteria, and the extent of exposure misclassification. To portray traffic-related air pollutant exposure, raster or inverse distance-weighted interpolations are superior to nearest neighbor approaches, and interpolations between receptors and points of interest should not exceed about 40m near major roads, and 100m at larger distances. For census tracts and ZIP codes, average exposures are overestimated since few individuals live very near major roads, the range of concentrations is compressed, most exposures are misclassified, and high concentrations near roads are entirely omitted. While smaller zones improve performance considerably, even block-level data can misclassify many individuals. To estimate exposures and impacts of traffic-related pollutants accurately, data should be geocoded or estimated at the most-resolved spatial level; census tract and larger zones have little if any ability to represent intraurban variation in traffic-related air pollutant concentrations. These results are based on one of the most comprehensive intraurban modeling studies in the literature and results are robust. Additional recommendations address the value of dispersion models to portray spatial and temporal variation of air pollutants in epidemiology and other studies; techniques to improve accuracy and reduce the computational burden in urban scale modeling; the necessary spatial resolution for health surveillance, demographic, and pollution data; and the consequences of low resolution data in terms of exposure misclassification. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81038
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Environmental Health Sciences, School of Public Health, University of Michigan, SPH2, 1420 Washington Heights, Ann Arbor, MI 48109-2029, United States; The International Council on Clean Transportation One Post Street, San Francisco, CA 94104, United States; US Environmental Protection Agency, National Exposure Research Laboratory, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, United States
Recommended Citation:
Batterman S,, Chambliss S,, Isakov V. Spatial resolution requirements for traffic-related air pollutant exposure evaluations[J]. Atmospheric Environment,2014-01-01,94