Vehicular particulate matter emissions in road tunnels in Sao Paulo, Brazil-Reference-Cited by-同舟云学术

Vehicular particulate matter emissions in road tunnels in Sao Paulo, Brazil

Published:2008-01-29 Issue:1-4 Volume:149 Page:241-249
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Sánchez-Ccoyllo Odón R.,Ynoue Rita Y.,Martins Leila D.,Astolfo Rosana,Miranda Regina M.,Freitas Edmilson D.,Borges Alessandro S.,Fornaro Adalgiza,Freitas Helber,Moreira Andréa,Andrade Maria F.

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s10661-008-0198-5.pdf

Reference33 articles.

1. Alonso, C. D., Martins, M. H. R. B., Romano, J., & Godinho, R. (1997). São Paulo aerosol characterization study. Journal of Air & Waste Management Association, 47, 1297–1300.

2. Andrade, F., Orsini, C., & Maenhaut, W. (1994). Relation between aerosol sources and meteorological parameters for inhalable atmospheric in São Paulo city, Brazil. Atmospheric Environment, 28(14), 2307–2315.

3. Artaxo, P., Campos, R. C., Fernandes, E. T., Martins, J. V., Xiao, Z., Lindqvist, O., et al. (2000). Large scale mercury and trace element measurements in the Amazon basin. Atmospheric Environment, 34, 4085–4096.

4. Artaxo, P., Castanho, A. D. A., Yamasoe, M. A., Marins, J. V., & Longo, K. M. (1999). Analysis of atmospheric aerosols by PIXE: The importance of real time and complementary measurements. Nuclear Instruments and Methods in Physics Research B, 150, 312–321.

5. Artaxo, P., & Hansson, H. C. (1995). Size distribution of biogenic aerosol particles from the Amazon Basin. Atmospheric Environment, 29, 393–402.

Cited by 89 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. Cenostigma pluviosum Tree Stem Growth and Carbon Storage in a Subtropical Urban Environment: A Case Study in Sao Paulo City;Forests;2024-07-16

2. Improving PM10 and PM2.5 concentration prediction using the Brazilian Regional Atmospheric Modeling 5.2 System in Lima, Peru;Urban Climate;2024-05

3. Characterization and apportionment of carbonaceous aerosol emission factors from light-duty and heavy-duty vehicle fleets in Maharashtra, India;Environmental Pollution;2024-03

4. Air quality modeling in the metropolitan area of São Paulo, Brazil: A review;Atmospheric Environment;2024-02

5. Enhancing urban real-time PM2.5 monitoring in street canyons by machine learning and computer vision technology;Sustainable Cities and Society;2024-01