Mobile and Fixed-Site Measurements To Identify Spatial Distributions of Traffic-Related Pollution Sources in Los Angeles

被引:32
|
作者
Tessum, Mei W. [1 ]
Larson, Timothy [1 ,2 ]
Gould, Timothy R. [2 ]
Simpson, Christopher D. [1 ]
Yost, Michael G. [1 ]
Vedal, Sverre [1 ]
机构
[1] Univ Washington, Dept Environm & Occupat Hlth Sci, Box 357234, Seattle, WA 98198 USA
[2] Univ Washington, Dept Civil & Environm Engn, Box 352700, Seattle, WA 98198 USA
关键词
USE REGRESSION-MODELS; BLACK CARBON; ULTRAFINE PARTICLES; AIR-QUALITY; PLATFORM MEASUREMENTS; URBAN; POLLUTANTS; EMISSIONS; SIZE; VARIABILITY;
D O I
10.1021/acs.est.7b04889
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Mobile monitoring and fixed-site monitoring using passive sampling devices (PSD) are popular air pollutant measurement techniques with complementary strengths and weaknesses. This study investigates the utility of combining data from concurrent 2-week mobile monitoring and fixed-site PSD campaigns in Los Angeles in the summer and early spring to identify sources of traffic-related air pollutants (TRAP) and their spatial distributions. There were strong to moderate correlations between mobile and fixed-site PSD measurements of both NO2 and NOx in the summer and spring (Pearson's r between 0.43 and 0.79), suggesting that the two data sets can be reliably combined for source apportionment. PCA identified the major TRAP sources as light-duty vehicle emissions, diesel exhaust, crankcase vent emissions, and an independent source of combustion-derived ultrafine particle emissions. The component scores of those four sources at each site were significantly correlated across the two seasons (Pearson's r between 0.58 and 0.79). Spatial maps of absolute principal component scores showed all sources to be most prominent near major roadways and the central business district and the ultrafine particle source being, in addition, more prominent near the airport. Mobile monitoring combined with fixed-site PSD sampling can provide high spatial resolution estimates of TRAP and can reveal underlying sources of exposure variability.
引用
收藏
页码:2844 / 2853
页数:10
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