Source identification and health risk assessment of PM2.5 in urban districts of Hanoi using PCA/APCS and UNMIX
Author:
Funder
Hanoi University of Civil Engineering
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11356-023-31751-7.pdf
Reference104 articles.
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2. Almeida S, Pio C, Freitas M et al (2005) Source apportionment of fine and coarse particulate matter in a sub-urban area at the Western European Coast. Atmos Environ 39. https://doi.org/10.1016/j.atmosenv.2005.01.048
3. Banerjee T, Murari V, Kumar M, Raju MP (2015) Source apportionment of airborne particulates through receptor modeling: Indian scenario. Atmos Res, pp 164–165. https://doi.org/10.1016/j.atmosres.2015.04.017
4. Barrera V, Contreras C, Mugica-Alvarez V et al (2023) PM2.5 characterization and source apportionment using Positive Matrix Factorization at San Luis Potosi City, Mexico, during the Years 2017–2018. Atmosphere (Basel) 14:1160. https://doi.org/10.3390/atmos14071160
5. Begum BA, Biswas SK, Hopke PK (2011) Key issues in controlling air pollutants in Dhaka, Bangladesh. Atmos Environ 45:7705–7713. https://doi.org/10.1016/j.atmosenv.2010.10.022
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