has been cited by the following article(s):
[1]
|
Particulate matter pollution in Kunshan High-Tech zone: Source apportionment with trace elements, plume evolution and its monitoring
|
|
Journal of Environmental Sciences,
2018 |
|
|
[2]
|
Analyses of biomass burning contribution to aerosol in Zhengzhou during wheat harvest season in 2015
|
|
Atmospheric Research,
2018 |
|
|
[3]
|
PM2.5 pollution from household solid fuel burning practices in Central India: 2. Application of receptor models for source apportionment
|
|
Environmental Geochemistry and Health,
2018 |
|
|
[4]
|
Seasonal and Spatial Variation of Particulate Aerosols and Carbonaceous Species in PM2.5 in the Periphery of Chandigarh, India
|
|
MAPAN,
2018 |
|
|
[5]
|
Source apportionment studies for particulates (PM10) in Kozhikode, South Western India using a combined receptor model
|
|
Chemistry and Ecology,
2018 |
|
|
[6]
|
Source apportionment of PM 10 in Delhi, India using PCA/APCS, UNMIX and PMF
|
|
Particuology,
2017 |
|
|
[7]
|
Source apportionment of PM10 using PCA/APCS, UNMIX and PMF in Delhi, India
|
|
2017 |
|
|
[8]
|
Source apportionment of PM10 in Delhi, India using PCA/APCS, UNMIX and PMF
|
|
Particuology,
2017 |
|
|
[9]
|
Water Quality Assessment of River Soan (Pakistan) and Source Apportionment of Pollution Sources Through Receptor Modeling
|
|
Archives of environmental contamination and toxicology,
2016 |
|
|
[10]
|
PM2. 5 pollution from household solid fuel burning practices in Central India: 2. Application of receptor models for source apportionment
|
|
Environmental Geochemistry and Health,
2016 |
|
|
[11]
|
Source identification and apportionment of PM2. 5 and PM2. 5− 10 in iron and steel scrap smelting factory environment using PMF, PCFA and UNMIX receptor models
|
|
Environmental Monitoring and Assessment,
2016 |
|
|
[12]
|
2011-2015 年台灣都會區細懸浮微粒 (PM2. 5) 成分濃度變化, 污染來源推估及對能見度影響
|
|
2015 |
|
|
[13]
|
Study on particulate polycyclic aromatic hydrocarbons over Bay of Bengal in winter season
|
|
Atmospheric Research,
2014 |
|
|
[1]
|
An extensive assessment on the distribution pattern of organic contaminants in the aerosols samples in the Middle East
Open Chemistry,
2022
DOI:10.1515/chem-2022-0260
|
|
|
[2]
|
Source apportionment studies for particulates (PM10) in Kozhikode, South Western India using a combined receptor model
Chemistry and Ecology,
2018
DOI:10.1080/02757540.2018.1508460
|
|
|
[3]
|
Source apportionment of PM 10 in Delhi, India using PCA/APCS, UNMIX and PMF
Particuology,
2017
DOI:10.1016/j.partic.2017.05.009
|
|
|
[4]
|
Source identification and apportionment of PM2.5 and PM2.5−10 in iron and steel scrap smelting factory environment using PMF, PCFA and UNMIX receptor models
Environmental Monitoring and Assessment,
2016
DOI:10.1007/s10661-016-5585-8
|
|
|
[5]
|
PM2.5 pollution from household solid fuel burning practices in Central India: 2. Application of receptor models for source apportionment
Environmental Geochemistry and Health,
2016
DOI:10.1007/s10653-016-9889-y
|
|
|