Source Apportionment of Fine Particulate Matter by Clustering Single-Particle Data: Tests of Receptor Model Accuracy-Reference-Cited by-同舟云学术

Source Apportionment of Fine Particulate Matter by Clustering Single-Particle Data: Tests of Receptor Model Accuracy

Published:2001-04-13 Issue:10 Volume:35 Page:2060-2072
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Bhave Prakash V.¹,Fergenson David P.²,Prather Kimberly A.²,Cass Glen R.³

Affiliation:

1. Environmental Engineering Science Department, MC 138-78, California Institute of Technology, Pasadena, California 91125-7800

2. Department of Chemistry, University of California, Riverside, California 92521

3. School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332-0340

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/es0017413

Reference50 articles.

1. A cost-effectiveness analysis of alternative air quality control strategies

2. Strategies for the control of particulate air quality: least-cost solutions based on receptor-oriented models

3. Receptor models

4. Watson, J. G.; Henry, R. C.; Cooper, J. A.; Macias, E. S. InAtmospheric Aerosol: Source/Air Quality Relationships; Macias, E. S., Hopke, P. K., Eds.; ACS Symposium Series 167; American Chemical Society: Washington, DC, 1981; pp 89−106.

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Single particle mass spectral signatures from on-road and non-road vehicle exhaust particles and their application in refined source apportionment using deep learning;Science of The Total Environment;2024-06

2. Single Particle Mass Spectral Signatures from On-Road and Non-Road Vehicle Exhaust Particles and Their Application in Refined Source Apportionment Using Deep Learning;2023

3. Self-feedback LSTM regression model for real-time particle source apportionment;Journal of Environmental Sciences;2022-04

4. Aerosol Mixing State: Measurements, Modeling, and Impacts;Reviews of Geophysics;2019-05-21

5. Determining the contribution of long-range transport, regional and local source areas, to PM10 mass loading in Hessen, Germany using a novel multi-receptor based statistical approach;Atmospheric Environment;2017-10