化学物种网络方法变化对时间序列离子和碳物种浓度的影响

IF 2.8 4区环境科学与生态学 Q2 ENGINEERING, CHEMICAL

Aerosol Science and Technology Pub Date : 2024-08-12 DOI:10.1080/02786826.2024.2384921

Kamaljeet Kaur, Jenna R. Krall, Cesunica Ivey, Heather A. Holmes, Kerry E. Kelly

引用次数: 0

摘要

例如，许多研究都依赖于美国环保署化学物质标样网络（CSN）提供的长期 PM2.5 标样数据，以估计对健康的影响或调查 PM2.5 的来源和传输。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Impact of Chemical Speciation Network method changes on time series ion and carbon species concentrations

Numerous studies rely on long-term PM2.5 speciation data from the EPA's Chemical Speciation Network (CSN), for example, to estimate health impacts or investigate the sources and transport of PM2.5 ...

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来源期刊

Aerosol Science and Technology 环境科学-工程：化工

CiteScore

8.40

自引率

7.70%

发文量

审稿时长

3 months

期刊介绍： Aerosol Science and Technology publishes theoretical, numerical and experimental investigations papers that advance knowledge of aerosols and facilitate its application. Articles on either basic or applied work are suitable. Examples of topics include instrumentation for the measurement of aerosol physical, optical, chemical and biological properties; aerosol dynamics and transport phenomena; numerical modeling; charging; nucleation; nanoparticles and nanotechnology; lung deposition and health effects; filtration; and aerosol generation. Consistent with the criteria given above, papers that deal with the atmosphere, climate change, indoor and workplace environments, homeland security, pharmaceutical aerosols, combustion sources, aerosol synthesis reactors, and contamination control in semiconductor manufacturing will be considered. AST normally does not consider papers that describe routine measurements or models for aerosol air quality assessment.