National Exposure Models for Source-Specific Primary Particulate Matter Concentrations Using Aerosol Mass Spectrometry Data

Provat K.Saha; Albert A Presto; Steve Hankey

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National Exposure Models for Source-Specific Primary Particulate Matter Concentrations Using Aerosol Mass Spectrometry Data

机译：National Exposure Models for Source-Specific Primary Particulate Matter Concentrations Using Aerosol Mass Spectrometry Data

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This paper investigates the feasibility of developing national empirical models to predict ambient concentrations of sparsely monitored air pollutants at high spatial resolution.We used a data set of cooking organic aerosol(COA)and hydrocarbon-like organic aerosol(HOA; traffic primary organic PM)measured using aerosol mass spectrometry across the continental United States.The monitoring locations were selected to span the national distribution of land-use and source-activity variables commonly used for land-use regression modeling(e.g.,road length,restaurant count,etc.).The models explain about 60 of the spatial variability of the measured data(R2 0.63 for the COA model and 0.62 for the HOA model).Extensive cross-validation suggests that the models are robust with reasonable transferability.The models predict large urban-rural and intra-urban variability with hotspots in urban areas and along the road corridors.The predicted national concentration surfaces show reasonable spatial correlation with source-specific national chemical transport model(CTM)simulations(R~2:0.45 for COA,0.4 for HOA).Our measured data,empirical models,and CTM predictions all show that COA concentrations are about two times higher than HOA.Since COA and HOA are important contributors to the intra-urban spatial variability of the total PM_(2.5),our results highlight the potential importance of controlling commercial cooking emissions for air quality management in the United States.

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《Environmental Science & Technology: ES&T》 |2022年第20期|14284-14295|共12页
作者
Provat K.Saha; Albert A Presto; Steve Hankey;
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作者单位

Center for Atmospheric Particle Studies and Department of Mechanical Engineering Carnegie Mellon University,Pittsburgh,Pennsylvania 15213,United States;

Center for Atmospheric Particle Studies and Department of Mechanical Engineering,Carnegie Mellon University,Pittsburgh,Pennsylvania 1S213,United States;

School of Public and International Affairs,Virginia Tech,Blacksburg,Virginia 24061,United States;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
原文格式 PDF
正文语种英语
中图分类环境科学、安全科学;
关键词
fine particulate matter; spatial modeling; aerosol mass spectrometry;

National Exposure Models for Source-Specific Primary Particulate Matter Concentrations Using Aerosol Mass Spectrometry Data

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