Articles | Volume 9, issue 14
https://doi.org/10.5194/acp-9-4957-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-9-4957-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Source apportionment of PM2.5 in Seoul, Korea
J.-B. Heo
Department of Environmental Health, School of Public Health, Seoul National University, Seoul, Korea
P. K. Hopke
Department of Chemical and Biomolecular Engineering, Clarkson University, Potsdam, NY, USA
S.-M. Yi
Department of Environmental Health, School of Public Health, Seoul National University, Seoul, Korea
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- Determination of sources of fine particles in different ambient atmospheres in South Korea using a chemical mass balance model W. Rehman et al. 10.1080/15275922.2019.1694099
- Source apportionment of PM2.5 nitrate and sulfate in China using a source-oriented chemical transport model H. Zhang et al. 10.1016/j.atmosenv.2012.08.014
- Temporal variation of sulfate concentration in PM2.5 and major factors enhancing sulfate concentration in the atmosphere of Seoul, Korea N. Kim et al. 10.1007/s11869-021-00993-0
- Impacts of hazardous metals and PAHs in fine and coarse particles with long-range transports in Taipei City C. Hsu et al. 10.1016/j.envpol.2019.04.038
- Associations of chemical composition and sources of PM2.5 with lung function of severe asthmatic adults in a low air pollution environment of urban Nagasaki, Japan C. Ng et al. 10.1016/j.envpol.2019.05.117
- Spatial and Temporal Variation in Fine Particulate Matter Mass and Chemical Composition: The Middle East Consortium for Aerosol Research Study Z. Abdeen et al. 10.1155/2014/878704
- Source apportionment of PM2.5 using DN-PMF in three megacities in South Korea Y. Cheong et al. 10.1007/s11869-024-01584-5
- Semi-continuous measurement of water-soluble ions in PM2.5 in Jinan, China: Temporal variations and source apportionments X. Gao et al. 10.1016/j.atmosenv.2011.07.041
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- Comparison of source apportionment of PM 2.5 using receptor models in the main hub port city of East Asia: Busan J. Jeong et al. 10.1016/j.atmosenv.2016.10.055
- Developing Land-Use Regression Models to Estimate PM2.5-Bound Compound Concentrations C. Hsu et al. 10.3390/rs10121971
- Assessment of long-range transboundary aerosols in Seoul, South Korea from Geostationary Ocean Color Imager (GOCI) and ground-based observations S. Lee et al. 10.1016/j.envpol.2020.115924
- Comparison of characteristics and sources of water-soluble inorganic ions, trace elements, and polycyclic aromatic hydrocarbons in PM2.5 on polluted and normal days in Ulsan, South Korea T. Do et al. 10.1007/s11869-023-01340-1
- Winter and Summer PM2.5 Chemical Compositions in Fourteen Chinese Cities J. Cao et al. 10.1080/10962247.2012.701193
- Characterization of PM2.5 and identification of transported secondary and biomass burning contribution in Seoul, Korea Y. Kim et al. 10.1007/s11356-017-0772-x
- Source Apportionment of VOCs in Urban Tianjin, China M. Han et al. 10.4028/www.scientific.net/AMR.955-959.1326
- Impacts of local vs. trans-boundary emissions from different sectors on PM2.5 exposure in South Korea during the KORUS-AQ campaign J. Choi et al. 10.1016/j.atmosenv.2019.02.008
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- Air Quality Impacts of Shale Gas Development in Pennsylvania R. Zhang et al. 10.1086/721430
- Quantification and seasonal pattern of atmospheric reaction products of gas phase PAHs in PM2.5 J. Lee et al. 10.1016/j.atmosenv.2012.03.007
- Concentrations and Characteristics of Carbonaceous Compounds in PM<sub>10</sub> over Seoul: Measurement between 2006 and 2007 N. Choi et al. 10.5572/KOSAE.2015.31.4.345
- Sources of ultrafine particles in the Eastern United States L. Posner & S. Pandis 10.1016/j.atmosenv.2015.03.033
- Analysis of PM2.5 inorganic and organic constituents to resolve contributing sources in Seoul, South Korea and Beijing, China and their possible associations with cytokine IL-8 J. Park et al. 10.1016/j.envres.2023.117860
- Characterization of biogenic primary and secondary organic aerosols in the marine atmosphere over the East China Sea M. Kang et al. 10.5194/acp-18-13947-2018
- Dependence of Total and Carbonaceous Aerosol Concentrations on Transport Pathways in Seoul, Korea U. Jeong et al. 10.14191/Atmos.2015.25.1.141
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- Trace metals in atmospheric fine particles in one industrial urban city: Spatial variations, sources, and health implications S. Zhou et al. 10.1016/S1001-0742(13)60399-X
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- Source apportionment of PM 2.5 at the Lin'an regional background site in China with three receptor models J. Deng et al. 10.1016/j.atmosres.2017.11.017
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- Impacts of secondary aerosol formation and long range transport on severe haze during the winter of 2017 in the Seoul metropolitan area Y. Kim et al. 10.1016/j.scitotenv.2021.149984
- Field evaluation of a near–real time elemental monitor and identification of element sources observed at an air monitoring supersite in Korea S. Park et al. 10.5094/APR.2014.015
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- Use of combined receptor modeling technique for prediction of possible sources of particulate pollution in Kozhikode, India K. Keerthi et al. 10.1007/s13762-019-02553-7
- Estimating the Contribution of Local Primary Emissions to Particulate Pollution Using High‐Density Station Observations C. Zhao et al. 10.1029/2018JD028888
- Municipality-Level Source Apportionment of PM2.5 Concentrations based on the CAPSS 2016: (VI) Chungcheongbuk-do K. Son et al. 10.5572/KOSAE.2021.37.3.429
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- Source apportionment of PM2.5 measured in South Texas near U.S.A. – Mexico border S. Karnae & K. John 10.1016/j.apr.2019.06.007
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- Source apportionment of fine particles at a suburban site in Queensland, Australia A. Friend et al. 10.1071/EN10112
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- Chemical characteristics and source apportionment of PM2.5 using PCA/APCS, UNMIX, and PMF at an urban site of Delhi, India S. Jain et al. 10.1007/s11356-017-8925-5
- Vertical Profiles of PM2.5 and O3 Measured Using an Unmanned Aerial Vehicle (UAV) and Their Relationships with Synoptic- and Local-Scale Air Movements H. Hwang et al. 10.3390/rs16091581
- Fine Particle Air Pollution and Mortality J. Heo et al. 10.1097/EDE.0000000000000044
- Implications of seasonal control of PM2.5-bound PAHs: An integrated approach for source apportionment, source region identification and health risk assessment S. Chao et al. 10.1016/j.envpol.2018.12.074
- Comprehensive assessment of PM2.5 physicochemical properties during the Southeast Asia dry season (southwest monsoon) M. Khan et al. 10.1002/2016JD025894
- The PM2.5chemical composition in an industrial zone included in a large urban settlement: main sources and local background S. Squizzato et al. 10.1039/C4EM00111G
- Health risk assessment and source apportionment of PM2.5-bound toxic elements in the industrial city of Siheung, Korea Y. Lee et al. 10.1007/s11356-022-20462-0
- Hourly differences in air pollution on the risk of asthma exacerbation J. Kim et al. 10.1016/j.envpol.2015.03.040
- Seasonal variability of PM<sub>2.5</sub> composition and sources in the Klang Valley urban-industrial environment N. Amil et al. 10.5194/acp-16-5357-2016
- Source identification of the elemental fraction of particulate matter using size segregated, highly time-resolved data and an optimized source apportionment approach M. Manousakas et al. 10.1016/j.aeaoa.2022.100165
- Is replacing missing values of PM2.5 constituents with estimates using machine learning better for source apportionment than exclusion or median replacement? Y. Kim et al. 10.1016/j.envpol.2024.124165
- Long-Range Transport Influence on Key Chemical Components of PM2.5 in the Seoul Metropolitan Area, South Korea, during the Years 2012–2016 C. Bae et al. 10.3390/atmos11010048
- An overview of atmospheric aerosol and their effects on human health T. Arfin et al. 10.1007/s11356-023-29652-w
- Influence of transboundary air pollutants from China on the high-PM10 episode in Seoul, Korea for the period October 16–20, 2008 S. Lee et al. 10.1016/j.atmosenv.2013.05.006
- Impact of Diesel Vehicle Emissions on PM2.5 Concentrations in Seoul Metropolitan Area during the Seasonal PM2.5 Management Y. Kim et al. 10.5572/KOSAE.2021.37.1.169
- Source apportionment of VOCs and their impact on air quality and health in the megacity of Seoul S. Song et al. 10.1016/j.envpol.2019.01.102
- Improving apportionment of PM2.5 using multisite PMF by constraining G-values with a prioriinformation Q. Dai et al. 10.1016/j.scitotenv.2020.139657
- Chemistry of PM2.5 in haze events in two East Asian cities during winter–spring 2019 J. Nirmalkar et al. 10.1016/j.atmosenv.2022.119457
- Reliability and Accuracy of the Deployable Particulate Impact Sampler for Application to Spatial PM2.5 Sampling in Seoul, Korea G. Oh et al. 10.5572/KOSAE.2017.33.3.277
- Different roles of nitrate and sulfate in air pollution episodes in the North China Plain Y. Wang et al. 10.1016/j.atmosenv.2020.117325
- Quantifying ambient concentrations of primary and secondary organic aerosol in central Los Angeles using an integrated approach coupling source apportionment with regression analysis R. Tohidi et al. 10.1016/j.atmosenv.2021.118807
- Predicting latent source-specific PM2.5 pollution from regional sources at unmonitored sites by Bayesian spatial multivariate receptor modeling Y. Lee et al. 10.1016/j.envpol.2023.121389
- Climate change air toxic co-reduction in the context of macroeconomic modelling D. Crawford-Brown et al. 10.1016/j.jenvman.2013.03.034
- Regional source apportionment of PM2.5 in Seoul using Bayesian multivariate receptor model M. Oh & C. Park 10.1080/02664763.2020.1822305
- Investigation on a Haze Episode of Fine Particulate Matter using Semi-continuous Chemical Composition Data S. Park et al. 10.5572/KOSAE.2013.29.5.642
- Recent changes of trans-boundary air pollution over the Yellow Sea: Implications for future air quality in South Korea P. Bhardwaj et al. 10.1016/j.envpol.2019.01.048
- Differences of chemical species and their ratios between fine and ultrafine particles in the roadside environment S. Kudo et al. 10.1016/j.atmosenv.2012.08.039
- Estimation of potential source regions of PM 2.5 in Beijing using backward trajectories Z. Zhang et al. 10.5094/APR.2015.020
- Source apportionments of ambient fine particulate matter in Israeli, Jordanian, and Palestinian cities J. Heo et al. 10.1016/j.envpol.2017.01.081
- Estimation of the contributions of long range transported aerosol in East Asia to carbonaceous aerosol and PM concentrations in Seoul, Korea using highly time resolved measurements: a PSCF model approach U. Jeong et al. 10.1039/c0em00659a
- Air quality and acid deposition impacts of local emissions and transboundary air pollution in Japan and South Korea S. Yim et al. 10.5194/acp-19-13309-2019
- Trajectory-Assisted Source Apportionment of Winter-Time Aerosol Using Semi-continuous Measurements H. Liao & C. Wu 10.1007/s00244-020-00714-1
- Ambient PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) in Changhua County, central Taiwan: Seasonal variation, source apportionment and cancer risk assessment Y. Chen et al. 10.1016/j.envpol.2016.07.016
- Local and regional sources of urban ambient PM2.5 exposures in Calgary, Canada A. Anastasopolos et al. 10.1016/j.atmosenv.2022.119383
- Spatial analysis of CO2 concentration in an unpolluted environment in northern Spain I. Pérez et al. 10.1016/j.jenvman.2012.09.023
- Short-term air pollution exposure and emergency department visits for amyotrophic lateral sclerosis: A time-stratified case-crossover analysis W. Myung et al. 10.1016/j.envint.2018.12.042
- Evaluation of Using Satellite-Derived Aerosol Optical Depth in Land Use Regression Models for Fine Particulate Matter and Its Elemental Composition C. Huang et al. 10.3390/atmos12081018
- Assessing the effect of long-range pollutant transportation on air quality in Seoul using the conditional potential source contribution function method U. Jeong et al. 10.1016/j.atmosenv.2016.11.017
- Performance evaluation of the updated air quality forecasting system for Seoul predicting PM10 Y. Koo et al. 10.1016/j.atmosenv.2012.02.004
- The investigations on organic sources and inorganic formation processes and their implications on haze during late winter in Seoul, Korea D. Kim et al. 10.1016/j.envres.2022.113174
- Temporal Variations and Potential Source Areas of Fine Particulate Matter in Bangkok, Thailand S. Kanchanasuta et al. 10.1177/1178622120978203
- Associations between atmospheric PM2.5 exposure and carcinogenic health risks: Surveillance data from the year of lowest recorded levels in Beijing, China Q. Liu et al. 10.1016/j.envpol.2024.124176
- An Investigation into the Effect of Emissions from Industrial Complexes on Air Quality in the Ulsan Metropolitan City Utilizing Trace Components in PM2.5 W. Choi et al. 10.3390/app112110003
- PM2.5 source apportionment in Seoul, Korea: a comparison of PMF and SMP receptor modeling results S. Kim et al. 10.1007/s13762-022-04183-y
- Transported vs. local contributions from secondary and biomass burning sources to PM2.5 B. Kim et al. 10.1016/j.atmosenv.2016.08.072
- Source apportionment of absorption enhancement of black carbon in different environments of China X. Zhang et al. 10.1016/j.scitotenv.2020.142685
- Identification of Potential Source Location of Sulfur at Urban Area Bandung using Conditional Probability Function (CPF) S. Kurniawati et al. 10.1088/1755-1315/303/1/012042
- Chemical compositions and the impact of sea salt in atmospheric PM1 and PM2.5 in the coastal area Y. Zhang et al. 10.1016/j.atmosres.2020.105323
- Investigation of source locations and contributions using an integrated trajectory-source apportionment method with multiple time resolution data H. Liao & C. Wu 10.1007/s13762-017-1265-7
- Predicting carbonaceous aerosols and identifying their source contribution with advanced approaches J. Zhu et al. 10.1016/j.chemosphere.2020.128966
- PM2.5-bound elements in Hebei Province, China: Pollution levels, source apportionment and health risks X. Li et al. 10.1016/j.scitotenv.2021.150440
- Temporal Variations in Optical Properties and Direct Radiative Forcing of Different Aerosol Chemical Components in Seoul using Hourly Aerosol Sampling S. Song & Z. Shon 10.5572/KOSAE.2014.30.1.001
- Source apportionment of PM2.5 using positive matrix factorization (PMF) at a rural site in Korea S. Kim et al. 10.1016/j.jenvman.2018.03.027
- Simulation of airborne trace metals in fine particulate matter over North America J. Xu et al. 10.1016/j.atmosenv.2019.116883
- Source-receptor relationship of transboundary particulate matter pollution between China, South Korea and Japan: Approaches, current understanding and limitations J. Liu et al. 10.1080/10643389.2021.1964308
- The Elemental Characteristics and Human Health Risk of PM2.5 during Haze Episode and Non-Haze Episode in Chiang Rai Province, Thailand S. Niampradit et al. 10.3390/ijerph19106127
- Chemical nature of PM2.5 and PM10 in Xi'an, China: Insights into primary emissions and secondary particle formation Q. Dai et al. 10.1016/j.envpol.2018.04.111
- Long-term source apportionment of ambient fine particulate matter (PM 2.5 ) in the Los Angeles Basin: A focus on emissions reduction from vehicular sources S. Hasheminassab et al. 10.1016/j.envpol.2014.06.012
- Prioritizing the control of emission sources to mitigate PM2.5 disparity in California H. Lee & H. Park 10.1016/j.atmosenv.2020.117316
- Source apportionment of PM2.5 at urban and suburban areas of the Pearl River Delta region, south China - With emphasis on ship emissions J. Tao et al. 10.1016/j.scitotenv.2016.08.175
- Characterization and Spatial Source Apportionments of Ambient PM10 and PM2.5 during the Heating Period in Tian’jin, China B. Liu et al. 10.4209/aaqr.2019.06.0281
- Long-term trends in concentrations and sources of PM2.5–bound metals and elements in central Los Angeles V. Farahani et al. 10.1016/j.atmosenv.2021.118361
- Multi-criteria ranking and receptor modelling of airborne fine particles at three sites in the Pearl River Delta region of China A. Friend et al. 10.1016/j.scitotenv.2010.11.008
- Identifying and quantifying PM2.5 pollution episodes with a fusion method of moving window technique and constrained Positive Matrix Factorization C. Huang et al. 10.1016/j.envpol.2022.120382
- Characteristics and source apportionment of PM2.5 on an island in Southeast China: Impact of sea-salt and monsoon T. Liu et al. 10.1016/j.atmosres.2019.104786
- Fine particle-bound polycyclic aromatic hydrocarbons (PAHs) at an urban site of Wuhan, central China: Characteristics, potential sources and cancer risks apportionment Y. Zhang et al. 10.1016/j.envpol.2018.11.111
- Seasonal variation of carbonaceous and ionic components in ultrafine and fine particles in an urban area of Japan K. Kim et al. 10.1016/j.atmosenv.2010.12.037
- Source apportionment of PM2.5 in Baton Rouge, Louisiana during 2009–2014 F. Han et al. 10.1016/j.scitotenv.2017.01.189
- Seasonal contrasting effects of PM2.5 on forest productivity in peri‑urban region of Seoul Metropolitan Area, Republic of Korea H. Lee et al. 10.1016/j.agrformet.2022.109149
- Size-resolved measurements of PM2.5 water-soluble elements in Iasi, north-eastern Romania: Seasonality, source apportionment and potential implications for human health A. Galon-Negru et al. 10.1016/j.scitotenv.2019.133839
- Spatiotemporal variability of the PM2.5 distribution and weather anomalies during severe pollution events: Observations from 462 air quality monitoring stations across South Korea S. Han et al. 10.1016/j.apr.2023.101676
- A Method to Quantitatively Apportion Pollutants at High Spatial and Temporal Resolution: The Stochastic Lagrangian Apportionment Method (SLAM) J. Lin & D. Wen 10.1021/es505603v
- In vitro bioaccessibility and health risk assessment of heavy metals in atmospheric particulate matters from three different functional areas of Shanghai, China H. Huang et al. 10.1016/j.scitotenv.2017.08.074
- Characterizing isotopic compositions of TC-C, NO3−-N, and NH4+-N in PM2.5 in South Korea: Impact of China's winter heating Y. Park et al. 10.1016/j.envpol.2017.10.072
- Reduction of atmospheric fine particle level by restricting the idling vehicles around a sensitive area Y. Lee et al. 10.1080/10962247.2018.1438320
- Seasonal variation and source apportionment of Oxygenated Polycyclic Aromatic Hydrocarbons (OPAHs) and Polycyclic Aromatic Hydrocarbons (PAHs) in PM2.5 in Seoul, Korea S. Shin et al. 10.1016/j.atmosenv.2022.118937
- Multilevel causal attributions on transboundary risk: Effects on attributions of responsibility, psychological distance, and policy support H. Kim & Y. Kim 10.1111/risa.14000
- Aerosol concentrations and composition in the North Pacific marine boundary layer Y. Choi et al. 10.1016/j.atmosenv.2017.09.047
- PM2.5 source attribution for Seoul in May from 2009 to 2013 using GEOS-Chem and its adjoint model H. Lee et al. 10.1016/j.envpol.2016.11.088
- Sensitivity of Nitrate Aerosol Production to Vehicular Emissions in an Urban Street M. Kim 10.3390/atmos10040212
- Human health risks assessment for airborne PM10-bound metals in Seoul, Korea D. Roy et al. 10.1007/s11356-019-05213-y
- Source apportionment of the oxidative potential of fine ambient particulate matter (PM2.5) in Athens, Greece S. Taghvaee et al. 10.1016/j.scitotenv.2018.11.016
- Difference in Chemical Composition of PM2.5 and Investigation of its Causing Factors between 2013 and 2015 in Air Pollution Intensive Monitoring Stations G. Yu et al. 10.5572/KOSAE.2018.34.1.016
- Impacts of atmospheric vertical structures on transboundary aerosol transport from China to South Korea H. Lee et al. 10.1038/s41598-019-49691-z
- Size‐resolved analysis of fine and ultrafine fractions of indoor particulate matter using energy dispersive X‐ray fluorescence and electron microscopy N. Hamdan et al. 10.1002/xrs.2813
- Investigating the regional difference of aerosol feedback effects over South Korea using the WRF-CMAQ two-way coupled modeling system J. Yoo et al. 10.1016/j.atmosenv.2019.116968
- Distribution, Sources, and Hazards of Ambient Carbonaceous Particulates in Central India N. Jaiswal et al. 10.1061/(ASCE)HZ.2153-5515.0000447
- Real-time measurements of mineral dust concentration in coarse particulate matter (PM10–2.5) by employing a novel optical-based technique in Los Angeles R. Tohidi et al. 10.1016/j.scitotenv.2022.156215
- Estimation of aerosol optical properties considering hygroscopicity and light absorption C. Jung et al. 10.1016/j.atmosenv.2015.01.058
- Estimate of Regional and Broad-based Sources for PM2.5Collected in an Industrial Area of Japan R. Nakatsubo et al. 10.5572/ajae.2014.8.3.126
- Development and application of three-dimensional potential source contribution function (3D-PSCF) I. Kim et al. 10.1007/s11356-016-6787-x
- Local and transboundary impacts of PM2.5 sources identified in Seoul during the early stage of the COVID-19 outbreak Y. Kim et al. 10.1016/j.apr.2022.101510
- Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility W. Won et al. 10.1038/s41598-021-95834-6
- Apportioning and Locating Nonmethane Hydrocarbon Sources to a Background Site in Korea E. Choi et al. 10.1021/es903634e
- Back-trajectory analyses for evaluating the transboundary transport effect to the aerosol pollution in South Korea J. Koo et al. 10.1016/j.envpol.2024.124031
- Long-term trends in the contribution of PM2.5sources to organic carbon (OC) in the Los Angeles basin and the effect of PM emission regulations A. Altuwayjiri et al. 10.1039/D0FD00074D
- Study of PM2.5 Using PMF Receptor Model and Advancement of Source Apportionment I. Ryoo et al. 10.5572/KOSAE.2022.38.4.493
- Spatial and seasonal variations of PM 2.5 mass and species during 2010 in Xi'an, China P. Wang et al. 10.1016/j.scitotenv.2014.11.007
- Long-term changes in PM10 levels in urban air in relation with air quality control efforts K. Kim & Z. Shon 10.1016/j.atmosenv.2011.03.033
- Empirical relationship between particulate matter and aerosol optical depth over Northern Tien-Shan, Central Asia B. Chen et al. 10.1007/s11869-012-0192-5
- Local and inter-regional contributions to PM2.5 nitrate and sulfate in China Q. Ying et al. 10.1016/j.atmosenv.2014.05.078
- Impacts of internally and externally mixed anthropogenic sulfate and carbonaceous aerosols on East Asian climate L. Zhang et al. 10.1007/s13351-011-0508-7
- Measurement report: Characterization of severe spring haze episodes and influences of long-range transport in the Seoul metropolitan area in March 2019 H. Kim et al. 10.5194/acp-20-11527-2020
- Increases in wintertime PM2.5 sodium and chloride linked to snowfall and road salt application K. Kolesar et al. 10.1016/j.atmosenv.2018.01.008
- Comparison of Chemical Composition of Particulate Matter Emitted from a Gasoline Direct Injected (GDI) Vehicle and a Port Fuel Injected (PFI) Vehicle using High Resolution Time of Flight Aerosol Mass Spectrometer (HR-ToF-AMS) J. Lee et al. 10.5572/ajae.2016.10.1.051
- Emission control priority of PM2.5-bound heavy metals in different seasons: A comprehensive analysis from health risk perspective J. Liu et al. 10.1016/j.scitotenv.2018.06.226
- Composition, seasonal variation, and sources of PM10 from world heritage site Taj Mahal, Agra R. Singh & B. Sharma 10.1007/s10661-011-2392-0
- Characterization and source apportionment of PM2.5 based on error estimation from EPA PMF 5.0 model at a medium city in China B. Liu et al. 10.1016/j.envpol.2017.01.005
- Characteristics of total gaseous mercury (TGM) concentrations in an industrial complex in South Korea: impacts from local sources Y. Seo et al. 10.5194/acp-16-10215-2016
- Ozone and PM related health co-benefits of climate change policies in Mexico D. Crawford-Brown et al. 10.1016/j.envsci.2011.12.006
- Source directional apportionment of ambient PM2.5 in urban and industrial sites at a megacity in China B. Liu et al. 10.1016/j.atmosres.2019.104764
- Augmentation of PM1.0 measurements based on machine learning model and environmental factors H. Hwang et al. 10.1016/j.jes.2024.06.029
- Estimated accuracy of three common trajectory statistical methods V. Kabashnikov et al. 10.1016/j.atmosenv.2011.07.006
- Chemical characterization, the transport pathways and potential sources of PM2.5 in Shanghai: Seasonal variations M. Zhao et al. 10.1016/j.atmosres.2015.02.003
- Chemical composition and source apportionment of PM2.5 in Seoul during 2018–2020 M. Jeong et al. 10.1016/j.apr.2024.102077
- Reconstructing Primary and Secondary Components of PM2.5Composition for an Urban Atmosphere S. Behera & M. Sharma 10.1080/02786826.2010.504245
- Characterization and source apportionment of ambient air particulate matter (PM2.5) in Karachi M. Mansha et al. 10.1016/j.scitotenv.2011.10.056
- Characteristics of Locally Occurring High PM2.5 Concentration Episodes in a Small City in South Korea S. Choi et al. 10.3390/atmos12010086
- A refinement of the emission data for Kola Peninsula based on inverse dispersion modelling M. Prank et al. 10.5194/acp-10-10849-2010
- The Interannual Variation of Transboundary Contributions from Chinese Emissions of PM2.5 to South Korea X. Han & M. Zhang 10.1007/s00376-021-1003-4
- Air Pollution in New Delhi during Late Winter: An Overview of a Group of Campaign Studies Focusing on Composition and Sources S. Talukdar et al. 10.3390/atmos12111432
- Chemical characterization and source apportionment of PM2.5 at an urban site in Gwangju, Korea G. Yu & S. Park 10.1016/j.apr.2021.101092
- An analysis on the concentration characteristics of PM2.5 in Seoul, Korea from 2005 to 2012 M. Lee 10.1007/s13143-014-0048-z
- Source apportionment of ambient PM2.5 in two locations in central Tehran using the Positive Matrix Factorization (PMF) model S. Taghvaee et al. 10.1016/j.scitotenv.2018.02.096
- Deposition pattern and throughfall fluxes in secondary cool temperate forest, South Korea M. Kumar Gautam et al. 10.1016/j.atmosenv.2017.04.030
- Characterization of Fine Particulate Matter and Associations between Particulate Chemical Constituents and Mortality in Seoul, Korea J. Son et al. 10.1289/ehp.1104316
- Long-term Characteristics of PM2.5 and Its Metallic Components in Chuncheon, Korea J. Byun et al. 10.5572/KOSAE.2018.34.3.406
- Ambient polychlorinated biphenyl levels and their evaluation in a metropolitan city S. Kuzu et al. 10.1016/j.scitotenv.2013.11.031
- The Impact of Air Pollution, Including Asian Sand Dust, on Respiratory Symptoms and Health-related Quality of Life in Outpatients With Chronic Respiratory Disease in Korea: A Panel Study M. Nakao et al. 10.3961/jpmph.18.021
- Source Identification and Estimation of Source Apportionment for Ambient PM10 in Seoul, Korea S. Yi & I. Hwang 10.5572/ajae.2014.8.3.115
- Fifteen-year trends in carbon species and PM2.5 in Seoul, South Korea (2003–2017) Y. Kim et al. 10.1016/j.chemosphere.2020.127750
- Characterization of Classroom Fine Dust in Urban Elementary Schools S. Heo et al. 10.5572/KOSAE.2021.37.1.113
- Source apportionment of PM<sub>2.5</sub> in Cork Harbour, Ireland using a combination of single particle mass spectrometry and quantitative semi-continuous measurements R. Healy et al. 10.5194/acp-10-9593-2010
- Comparison of the Chemical Characteristics and Source Apportionment of PM1.0 and PM2.5 Using Real-time Air Quality Monitoring Network Data of Air Pollutants S. Oh et al. 10.5572/KOSAE.2023.39.4.448
- Multicomponent aerosol mass efficiency with various mixture types for polydispersed aerosol C. Jung et al. 10.1080/02726351.2017.1313796
- Source apportionment of fine particulate matter in Macao, China with and without organic tracers: A comparative study using positive matrix factorization Q. Wang et al. 10.1016/j.atmosenv.2018.10.057
- Speciation of organic compounds in aerosols from urban background sites in the winter season C. Alves et al. 10.1016/j.atmosres.2014.07.012
- Long term trends of chemical constituents and source contributions of PM2.5 in Seoul E. Park et al. 10.1016/j.chemosphere.2020.126371
- Characterizing Black Carbon Emissions from Gasoline, LPG, and Diesel Vehicles via Transient Chassis-Dynamometer Tests G. Park et al. 10.3390/app10175856
- Source apportionment of PM2.5 in Seoul, South Korea and Beijing, China using dispersion normalized PMF J. Park et al. 10.1016/j.scitotenv.2022.155056
- Evaluation of the effect of Global Sulfur Cap 2020 on a Japanese inland sea area M. Tauchi et al. 10.1016/j.cstp.2022.02.006
- Estimation of the Source Contributions for Carbonaceous Aerosols at a Background Site in Korea S. Han et al. 10.5572/ajae.2018.12.4.311
- Chemical characterization of PM10 samples collected simultaneously at a rural and an urban site in the Caribbean coast: Local and long-range source apportionment Y. Morera-Gómez et al. 10.1016/j.atmosenv.2018.08.058
- Contributions of domestic sources to PM2.5 in South Korea N. Kumar et al. 10.1016/j.atmosenv.2022.119273
- Health effects of PM2.5 constituents and source contributions in major metropolitan cities, South Korea S. Kim et al. 10.1007/s11356-022-21592-1
- Seasonal characteristics of aerosols (PM2.5 and PM10) and their source apportionment using PMF: A four year study over Delhi, India S. Jain et al. 10.1016/j.envpol.2020.114337
- Seasonal Variation of PM2.5 and Its Major Ionic Components in an Urban Monitoring Site S. Ghosh et al. 10.5572/ajae.2012.6.1.023
- Estimation of the contribution of biomass fuel burning activities in North Korea to the air quality in Seoul, South Korea: Application of the 3D-PSCF method I. Kim et al. 10.1016/j.atmosres.2019.104628
- Identifying pollutant source directions using multiple analysis methods at a rural location in New York M. Bae et al. 10.1016/j.atmosenv.2011.02.020
- Dust and dust storms over Kuwait: Ground-based and satellite observations I. Sabbah et al. 10.1016/j.jastp.2018.06.006
- Using Short‐Term CO/CO2 Ratios to Assess Air Mass Differences Over the Korean Peninsula During KORUS‐AQ H. Halliday et al. 10.1029/2018JD029697
- Evaluating PM2.5 ionic components and source apportionment in Jinan, China from 2004 to 2008 using trajectory statistical methods S. Cheng et al. 10.1039/c0em00756k
- Ambient PM2.5 in the residential area near industrial complexes: Spatiotemporal variation, source apportionment, and health impact C. Hsu et al. 10.1016/j.scitotenv.2017.02.212
- Receptor modeling and health risk assessment of suspended heavy metal particles in Tehran’s District 21 S. Karimi et al. 10.1007/s13762-022-04685-9
- Associations of particulate matter and its components with emergency room visits for cardiovascular and respiratory diseases S. Hwang et al. 10.1371/journal.pone.0183224
- Investigation of PM<sub>2.5</sub> Pollution Episodes in Gwangju G. Yu et al. 10.5572/KOSAE.2015.31.3.269
- Chemical Characteristics of Water-Soluble Ions in Particulate Matter in Three Metropolitan Areas in the North China Plain X. Dao et al. 10.1371/journal.pone.0113831
- Chemical characteristics of PM2.5 aerosol in Incheon, Korea J. Choi et al. 10.1016/j.atmosenv.2012.06.078
- High PM2.5 Concentrations in a Small Residential City with Low Anthropogenic Emissions in South Korea J. Byun et al. 10.3390/atmos11111159
- Numerical simulation of interannual variation in transboundary contributions from Chinese emissions to PM2.5 mass burden in South Korea X. Han et al. 10.1016/j.atmosenv.2021.118440
- Physical and chemical mechanisms of the daily-to-seasonal variation of PM10 in Korea S. Kim & K. Kim 10.1016/j.scitotenv.2019.136429
- Association of social deprivation and outdoor air pollution with pulmonary tuberculosis in spatiotemporal analysis M. Sohn et al. 10.1080/09603123.2019.1566522
- Hygroscopicity of urban aerosols and its link to size-resolved chemical composition during spring and summer in Seoul, Korea N. Kim et al. 10.5194/acp-20-11245-2020
- Source apportionment of urban road dust using four multivariate receptor models J. Jose & B. Srimuruganandam 10.1007/s12665-021-09960-5
- Source apportionment of fine atmospheric particles using positive matrix factorization in Pretoria, South Africa A. Adeyemi et al. 10.1007/s10661-021-09483-3
- Trace element characterization and source identification of particulate matter of different sizes in Hanoi, Vietnam Q. Vuong et al. 10.1016/j.uclim.2023.101408
- Road dust contribution to PM levels – Evaluation of the effectiveness of street washing activities by means of Positive Matrix Factorization A. Karanasiou et al. 10.1016/j.atmosenv.2011.01.067
- Source apportionments of PM2.5 organic carbon using molecular marker Positive Matrix Factorization and comparison of results from different receptor models J. Heo et al. 10.1016/j.atmosenv.2013.03.004
- Fossil and non-fossil sources of the carbonaceous component of PM2.5 in forest and urban areas J. Cha et al. 10.1038/s41598-023-32721-2
- Sources apportionment of PM 2.5 in a background site in the North China Plain L. Yao et al. 10.1016/j.scitotenv.2015.09.123
- Different Characteristics of PM2.5 Measured in Downtown and Suburban Areas of a Medium-Sized City in South Korea S. Park et al. 10.3390/atmos12070832
- Enhancement of modeling performance by including organic markers to the PMF modeling for the PM2.5 at Seoul S. Shin et al. 10.1007/s11869-021-01087-7
- Behavior of sulfate on the sea surface during its transport from Eastern China to South Korea W. Jeon et al. 10.1016/j.atmosenv.2018.05.017
- Approaches for identifying PM2.5 source types and source areas at a remote background site of South China in spring K. Zhang et al. 10.1016/j.scitotenv.2019.07.178
- Secondary organic aerosol production from local emissions dominates the organic aerosol budget over Seoul, South Korea, during KORUS-AQ B. Nault et al. 10.5194/acp-18-17769-2018
- Contributions and source identification of biogenic and anthropogenic hydrocarbons to secondary organic aerosols at Mt. Tai in 2014 Y. Zhu et al. 10.1016/j.envpol.2016.10.070
- Ammonia in the atmosphere: a review on emission sources, atmospheric chemistry and deposition on terrestrial bodies S. Behera et al. 10.1007/s11356-013-2051-9
- Sources and atmospheric processing of winter aerosols in Seoul, Korea: insights from real-time measurements using a high-resolution aerosol mass spectrometer H. Kim et al. 10.5194/acp-17-2009-2017
- PM2.5 carbonaceous components and mineral dust at a COALESCE network site - Bhopal, India: Estimating site-specific optical characteristics A. Bhardwaj et al. 10.1016/j.scitotenv.2023.163277
- Comparison of transport pathways and potential sources of PM10 in two cities around a large Chinese lake using the modified trajectory analysis X. Kong et al. 10.1016/j.atmosres.2012.10.012
- Source identification of total mercury (TM) wet deposition using a Lagrangian particle dispersion model (LPDM) Y. Seo et al. 10.1016/j.atmosenv.2015.01.009
- Source Apportionment of PM10 at Pyeongtaek Area Using Positive Matrix Factorization (PMF) Model J. Heo et al. 10.5572/KOSAE.2018.34.6.849
- Characteristics and Source Apportionment of Summertime Volatile Organic Compounds in a Fast Developing City in the Yangtze River Delta, China J. Zhang et al. 10.3390/atmos9100373
- Source identification of PM2.5 at a port and an adjacent urban site in a coastal city of China: Impact of ship emissions and port activities L. Xu et al. 10.1016/j.scitotenv.2018.04.087
- Characterization of PM2.5 Mass in Relation to PM1.0 and PM10 in Megacity Seoul J. Han et al. 10.5572/ajae.2021.124
- Long-range transport of air pollutants originating in China: A possible major cause of multi-day high-PM10 episodes during cold season in Seoul, Korea H. Oh et al. 10.1016/j.atmosenv.2015.03.005
- Sources of airborne particulate matter-bound metals and spatial-seasonal variability of health risk potentials in four large cities, South Korea E. Choi et al. 10.1007/s11356-021-18445-8
- Effects of transboundary PM2.5 transported from China on the regional PM2.5 concentrations in South Korea: A spatial panel-data analysis M. Jun et al. 10.1371/journal.pone.0281988
- 2005–2014 trends of PM10 source contributions in an industrialized area of southern Spain J. Li et al. 10.1016/j.envpol.2018.01.101
- Source apportionment of PM2.5 at the coastal area in Korea J. Choi et al. 10.1016/j.scitotenv.2012.12.047
- Chemical characterization and source apportionment of PM2.5 aerosols in a megacity of Southeast China H. Li et al. 10.1016/j.atmosres.2016.07.005
- The real-time method of assessing the contribution of individual sources on visibility degradation in Taichung W. Chen et al. 10.1016/j.scitotenv.2014.07.120
- Composition analysis of PM2.5 at multiple sites in Zhengzhou, China: implications for characterization and source apportionment at different pollution levels X. Liu et al. 10.1007/s11356-020-10943-5
247 citations as recorded by crossref.
- Contributions of international sources to PM2.5 in South Korea N. Kumar et al. 10.1016/j.atmosenv.2021.118542
- Computationally efficient air quality forecasting tool: implementation of STOPS v1.5 model into CMAQ v5.0.2 for a prediction of Asian dust W. Jeon et al. 10.5194/gmd-9-3671-2016
- Comprehensive Assessment of Pollution Sources and Health Impacts in Suburban Area of Shanghai W. Wei et al. 10.3390/toxics11070552
- Determination of sources of fine particles in different ambient atmospheres in South Korea using a chemical mass balance model W. Rehman et al. 10.1080/15275922.2019.1694099
- Source apportionment of PM2.5 nitrate and sulfate in China using a source-oriented chemical transport model H. Zhang et al. 10.1016/j.atmosenv.2012.08.014
- Temporal variation of sulfate concentration in PM2.5 and major factors enhancing sulfate concentration in the atmosphere of Seoul, Korea N. Kim et al. 10.1007/s11869-021-00993-0
- Impacts of hazardous metals and PAHs in fine and coarse particles with long-range transports in Taipei City C. Hsu et al. 10.1016/j.envpol.2019.04.038
- Associations of chemical composition and sources of PM2.5 with lung function of severe asthmatic adults in a low air pollution environment of urban Nagasaki, Japan C. Ng et al. 10.1016/j.envpol.2019.05.117
- Spatial and Temporal Variation in Fine Particulate Matter Mass and Chemical Composition: The Middle East Consortium for Aerosol Research Study Z. Abdeen et al. 10.1155/2014/878704
- Source apportionment of PM2.5 using DN-PMF in three megacities in South Korea Y. Cheong et al. 10.1007/s11869-024-01584-5
- Semi-continuous measurement of water-soluble ions in PM2.5 in Jinan, China: Temporal variations and source apportionments X. Gao et al. 10.1016/j.atmosenv.2011.07.041
- Composition and source apportionment of PM1 at urban site Kanpur in India using PMF coupled with CBPF P. Rai et al. 10.1016/j.atmosres.2016.04.015
- Applying the total carbon–black carbon approach method to investigate the characteristics of primary and secondary carbonaceous aerosols in ambient PM2.5 in northern Taiwan A. Katoch et al. 10.1016/j.scitotenv.2024.173476
- Comparison of source apportionment of PM 2.5 using receptor models in the main hub port city of East Asia: Busan J. Jeong et al. 10.1016/j.atmosenv.2016.10.055
- Developing Land-Use Regression Models to Estimate PM2.5-Bound Compound Concentrations C. Hsu et al. 10.3390/rs10121971
- Assessment of long-range transboundary aerosols in Seoul, South Korea from Geostationary Ocean Color Imager (GOCI) and ground-based observations S. Lee et al. 10.1016/j.envpol.2020.115924
- Comparison of characteristics and sources of water-soluble inorganic ions, trace elements, and polycyclic aromatic hydrocarbons in PM2.5 on polluted and normal days in Ulsan, South Korea T. Do et al. 10.1007/s11869-023-01340-1
- Winter and Summer PM2.5 Chemical Compositions in Fourteen Chinese Cities J. Cao et al. 10.1080/10962247.2012.701193
- Characterization of PM2.5 and identification of transported secondary and biomass burning contribution in Seoul, Korea Y. Kim et al. 10.1007/s11356-017-0772-x
- Source Apportionment of VOCs in Urban Tianjin, China M. Han et al. 10.4028/www.scientific.net/AMR.955-959.1326
- Impacts of local vs. trans-boundary emissions from different sectors on PM2.5 exposure in South Korea during the KORUS-AQ campaign J. Choi et al. 10.1016/j.atmosenv.2019.02.008
- Fine particulate matter in the tropical environment: monsoonal effects, source apportionment, and health risk assessment M. Khan et al. 10.5194/acp-16-597-2016
- Spatial Variability of AERONET Aerosol Optical Properties and Satellite Data in South Korea during NASA DRAGON-Asia Campaign H. Lee & Y. Son 10.1021/acs.est.5b04831
- Exploring sources and health risks of metals in Beijing PM2.5: Insights from long-term online measurements X. Yang et al. 10.1016/j.scitotenv.2021.151954
- Comparative source apportionment of PM10 in Switzerland for 2008/2009 and 1998/1999 by Positive Matrix Factorisation M. Gianini et al. 10.1016/j.atmosenv.2012.02.036
- Spatial and temporal variability of sources of ambient fine particulate matter (PM<sub>2.5</sub>) in California S. Hasheminassab et al. 10.5194/acp-14-12085-2014
- Exploration and Application of Regulatory PM<sub>10</sub> Measurement Data for Developing Long-term Prediction Models in South Korea S. Yi et al. 10.5572/KOSAE.2016.32.1.114
- Assignment of PM2.5 sources in western Japan by non-negative matrix factorization of concentration-weighted trajectories of GED-ICP-MS/MS element concentrations Y. Suzuki et al. 10.1016/j.envpol.2020.116054
- Elevated production of NH 4 NO 3 from the photochemical processing of vehicle exhaust: Implications for air quality in the Seoul Metropolitan Region M. Link et al. 10.1016/j.atmosenv.2017.02.031
- Particulate matter, air quality and climate: lessons learned and future needs S. Fuzzi et al. 10.5194/acp-15-8217-2015
- Analysis of long-range transboundary transport (LRTT) effect on Korean aerosol pollution during the KORUS-AQ campaign S. Lee et al. 10.1016/j.atmosenv.2019.02.020
- Air Quality Impacts of Shale Gas Development in Pennsylvania R. Zhang et al. 10.1086/721430
- Quantification and seasonal pattern of atmospheric reaction products of gas phase PAHs in PM2.5 J. Lee et al. 10.1016/j.atmosenv.2012.03.007
- Concentrations and Characteristics of Carbonaceous Compounds in PM<sub>10</sub> over Seoul: Measurement between 2006 and 2007 N. Choi et al. 10.5572/KOSAE.2015.31.4.345
- Sources of ultrafine particles in the Eastern United States L. Posner & S. Pandis 10.1016/j.atmosenv.2015.03.033
- Analysis of PM2.5 inorganic and organic constituents to resolve contributing sources in Seoul, South Korea and Beijing, China and their possible associations with cytokine IL-8 J. Park et al. 10.1016/j.envres.2023.117860
- Characterization of biogenic primary and secondary organic aerosols in the marine atmosphere over the East China Sea M. Kang et al. 10.5194/acp-18-13947-2018
- Dependence of Total and Carbonaceous Aerosol Concentrations on Transport Pathways in Seoul, Korea U. Jeong et al. 10.14191/Atmos.2015.25.1.141
- Characteristics and source apportionment of PM2.5 in Jiaxing, China Z. Zhao et al. 10.1007/s11356-019-04205-2
- Trace metals in atmospheric fine particles in one industrial urban city: Spatial variations, sources, and health implications S. Zhou et al. 10.1016/S1001-0742(13)60399-X
- Chemical Characterization and Source Apportionment of PM10 Using Receptor Models over the Himalayan Region of India N. Choudhary et al. 10.3390/atmos14050880
- Source apportionment of PM 2.5 at the Lin'an regional background site in China with three receptor models J. Deng et al. 10.1016/j.atmosres.2017.11.017
- Characterization of carbon fractions in carbonaceous aerosols from typical fossil fuel combustion sources C. Yan et al. 10.1016/j.fuel.2019.115620
- Comparison of physicochemical properties between fine (PM2.5) and coarse airborne particles at cold season in Korea S. Choung et al. 10.1016/j.scitotenv.2015.10.021
- Impacts of secondary aerosol formation and long range transport on severe haze during the winter of 2017 in the Seoul metropolitan area Y. Kim et al. 10.1016/j.scitotenv.2021.149984
- Field evaluation of a near–real time elemental monitor and identification of element sources observed at an air monitoring supersite in Korea S. Park et al. 10.5094/APR.2014.015
- Characterization and source apportionment of volatile organic compounds in urban and suburban Tianjin, China M. Han et al. 10.1007/s00376-014-4077-4
- The impacts of pollution control measures on PM2.5 reduction: Insights of chemical composition, source variation and health risk H. Zheng et al. 10.1016/j.atmosenv.2018.10.023
- Use of combined receptor modeling technique for prediction of possible sources of particulate pollution in Kozhikode, India K. Keerthi et al. 10.1007/s13762-019-02553-7
- Estimating the Contribution of Local Primary Emissions to Particulate Pollution Using High‐Density Station Observations C. Zhao et al. 10.1029/2018JD028888
- Municipality-Level Source Apportionment of PM2.5 Concentrations based on the CAPSS 2016: (VI) Chungcheongbuk-do K. Son et al. 10.5572/KOSAE.2021.37.3.429
- Characteristics of submicron aerosol number size distribution and new particle formation events measured in Seoul, Korea, during 2004–2012 M. Park et al. 10.1007/s13143-014-0055-0
- Influence of intense secondary aerosol formation and long-range transport on aerosol chemistry and properties in the Seoul Metropolitan Area during spring time: results from KORUS-AQ H. Kim et al. 10.5194/acp-18-7149-2018
- Source Characteristics and Their Changes in PM2.5 in Ulsan: Based on PMF Results for 2020 Observations and a Review of Source Profiles Reported in Korea J. Park et al. 10.5572/KOSAE.2023.39.1.42
- Sulfur isotope-based source apportionment and control mechanisms of PM2.5 sulfate in Seoul, South Korea during winter and early spring (2017–2020) G. Lee et al. 10.1016/j.scitotenv.2023.167112
- Source apportionment of PM2.5 measured in South Texas near U.S.A. – Mexico border S. Karnae & K. John 10.1016/j.apr.2019.06.007
- Enhancement of PM2.5 source appointment in a large industrial city of Korea by applying the elemental carbon tracer method for positive matrix factorization (PMF) model Y. Han et al. 10.1016/j.apr.2023.101910
- Source apportionment of fine particles at a suburban site in Queensland, Australia A. Friend et al. 10.1071/EN10112
- PM<sub>2.5</sub> pollution in a megacity of southwest China: source apportionment and implication J. Tao et al. 10.5194/acp-14-8679-2014
- Chemical characteristics and source apportionment of PM2.5 using PCA/APCS, UNMIX, and PMF at an urban site of Delhi, India S. Jain et al. 10.1007/s11356-017-8925-5
- Vertical Profiles of PM2.5 and O3 Measured Using an Unmanned Aerial Vehicle (UAV) and Their Relationships with Synoptic- and Local-Scale Air Movements H. Hwang et al. 10.3390/rs16091581
- Fine Particle Air Pollution and Mortality J. Heo et al. 10.1097/EDE.0000000000000044
- Implications of seasonal control of PM2.5-bound PAHs: An integrated approach for source apportionment, source region identification and health risk assessment S. Chao et al. 10.1016/j.envpol.2018.12.074
- Comprehensive assessment of PM2.5 physicochemical properties during the Southeast Asia dry season (southwest monsoon) M. Khan et al. 10.1002/2016JD025894
- The PM2.5chemical composition in an industrial zone included in a large urban settlement: main sources and local background S. Squizzato et al. 10.1039/C4EM00111G
- Health risk assessment and source apportionment of PM2.5-bound toxic elements in the industrial city of Siheung, Korea Y. Lee et al. 10.1007/s11356-022-20462-0
- Hourly differences in air pollution on the risk of asthma exacerbation J. Kim et al. 10.1016/j.envpol.2015.03.040
- Seasonal variability of PM<sub>2.5</sub> composition and sources in the Klang Valley urban-industrial environment N. Amil et al. 10.5194/acp-16-5357-2016
- Source identification of the elemental fraction of particulate matter using size segregated, highly time-resolved data and an optimized source apportionment approach M. Manousakas et al. 10.1016/j.aeaoa.2022.100165
- Is replacing missing values of PM2.5 constituents with estimates using machine learning better for source apportionment than exclusion or median replacement? Y. Kim et al. 10.1016/j.envpol.2024.124165
- Long-Range Transport Influence on Key Chemical Components of PM2.5 in the Seoul Metropolitan Area, South Korea, during the Years 2012–2016 C. Bae et al. 10.3390/atmos11010048
- An overview of atmospheric aerosol and their effects on human health T. Arfin et al. 10.1007/s11356-023-29652-w
- Influence of transboundary air pollutants from China on the high-PM10 episode in Seoul, Korea for the period October 16–20, 2008 S. Lee et al. 10.1016/j.atmosenv.2013.05.006
- Impact of Diesel Vehicle Emissions on PM2.5 Concentrations in Seoul Metropolitan Area during the Seasonal PM2.5 Management Y. Kim et al. 10.5572/KOSAE.2021.37.1.169
- Source apportionment of VOCs and their impact on air quality and health in the megacity of Seoul S. Song et al. 10.1016/j.envpol.2019.01.102
- Improving apportionment of PM2.5 using multisite PMF by constraining G-values with a prioriinformation Q. Dai et al. 10.1016/j.scitotenv.2020.139657
- Chemistry of PM2.5 in haze events in two East Asian cities during winter–spring 2019 J. Nirmalkar et al. 10.1016/j.atmosenv.2022.119457
- Reliability and Accuracy of the Deployable Particulate Impact Sampler for Application to Spatial PM2.5 Sampling in Seoul, Korea G. Oh et al. 10.5572/KOSAE.2017.33.3.277
- Different roles of nitrate and sulfate in air pollution episodes in the North China Plain Y. Wang et al. 10.1016/j.atmosenv.2020.117325
- Quantifying ambient concentrations of primary and secondary organic aerosol in central Los Angeles using an integrated approach coupling source apportionment with regression analysis R. Tohidi et al. 10.1016/j.atmosenv.2021.118807
- Predicting latent source-specific PM2.5 pollution from regional sources at unmonitored sites by Bayesian spatial multivariate receptor modeling Y. Lee et al. 10.1016/j.envpol.2023.121389
- Climate change air toxic co-reduction in the context of macroeconomic modelling D. Crawford-Brown et al. 10.1016/j.jenvman.2013.03.034
- Regional source apportionment of PM2.5 in Seoul using Bayesian multivariate receptor model M. Oh & C. Park 10.1080/02664763.2020.1822305
- Investigation on a Haze Episode of Fine Particulate Matter using Semi-continuous Chemical Composition Data S. Park et al. 10.5572/KOSAE.2013.29.5.642
- Recent changes of trans-boundary air pollution over the Yellow Sea: Implications for future air quality in South Korea P. Bhardwaj et al. 10.1016/j.envpol.2019.01.048
- Differences of chemical species and their ratios between fine and ultrafine particles in the roadside environment S. Kudo et al. 10.1016/j.atmosenv.2012.08.039
- Estimation of potential source regions of PM 2.5 in Beijing using backward trajectories Z. Zhang et al. 10.5094/APR.2015.020
- Source apportionments of ambient fine particulate matter in Israeli, Jordanian, and Palestinian cities J. Heo et al. 10.1016/j.envpol.2017.01.081
- Estimation of the contributions of long range transported aerosol in East Asia to carbonaceous aerosol and PM concentrations in Seoul, Korea using highly time resolved measurements: a PSCF model approach U. Jeong et al. 10.1039/c0em00659a
- Air quality and acid deposition impacts of local emissions and transboundary air pollution in Japan and South Korea S. Yim et al. 10.5194/acp-19-13309-2019
- Trajectory-Assisted Source Apportionment of Winter-Time Aerosol Using Semi-continuous Measurements H. Liao & C. Wu 10.1007/s00244-020-00714-1
- Ambient PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) in Changhua County, central Taiwan: Seasonal variation, source apportionment and cancer risk assessment Y. Chen et al. 10.1016/j.envpol.2016.07.016
- Local and regional sources of urban ambient PM2.5 exposures in Calgary, Canada A. Anastasopolos et al. 10.1016/j.atmosenv.2022.119383
- Spatial analysis of CO2 concentration in an unpolluted environment in northern Spain I. Pérez et al. 10.1016/j.jenvman.2012.09.023
- Short-term air pollution exposure and emergency department visits for amyotrophic lateral sclerosis: A time-stratified case-crossover analysis W. Myung et al. 10.1016/j.envint.2018.12.042
- Evaluation of Using Satellite-Derived Aerosol Optical Depth in Land Use Regression Models for Fine Particulate Matter and Its Elemental Composition C. Huang et al. 10.3390/atmos12081018
- Assessing the effect of long-range pollutant transportation on air quality in Seoul using the conditional potential source contribution function method U. Jeong et al. 10.1016/j.atmosenv.2016.11.017
- Performance evaluation of the updated air quality forecasting system for Seoul predicting PM10 Y. Koo et al. 10.1016/j.atmosenv.2012.02.004
- The investigations on organic sources and inorganic formation processes and their implications on haze during late winter in Seoul, Korea D. Kim et al. 10.1016/j.envres.2022.113174
- Temporal Variations and Potential Source Areas of Fine Particulate Matter in Bangkok, Thailand S. Kanchanasuta et al. 10.1177/1178622120978203
- Associations between atmospheric PM2.5 exposure and carcinogenic health risks: Surveillance data from the year of lowest recorded levels in Beijing, China Q. Liu et al. 10.1016/j.envpol.2024.124176
- An Investigation into the Effect of Emissions from Industrial Complexes on Air Quality in the Ulsan Metropolitan City Utilizing Trace Components in PM2.5 W. Choi et al. 10.3390/app112110003
- PM2.5 source apportionment in Seoul, Korea: a comparison of PMF and SMP receptor modeling results S. Kim et al. 10.1007/s13762-022-04183-y
- Transported vs. local contributions from secondary and biomass burning sources to PM2.5 B. Kim et al. 10.1016/j.atmosenv.2016.08.072
- Source apportionment of absorption enhancement of black carbon in different environments of China X. Zhang et al. 10.1016/j.scitotenv.2020.142685
- Identification of Potential Source Location of Sulfur at Urban Area Bandung using Conditional Probability Function (CPF) S. Kurniawati et al. 10.1088/1755-1315/303/1/012042
- Chemical compositions and the impact of sea salt in atmospheric PM1 and PM2.5 in the coastal area Y. Zhang et al. 10.1016/j.atmosres.2020.105323
- Investigation of source locations and contributions using an integrated trajectory-source apportionment method with multiple time resolution data H. Liao & C. Wu 10.1007/s13762-017-1265-7
- Predicting carbonaceous aerosols and identifying their source contribution with advanced approaches J. Zhu et al. 10.1016/j.chemosphere.2020.128966
- PM2.5-bound elements in Hebei Province, China: Pollution levels, source apportionment and health risks X. Li et al. 10.1016/j.scitotenv.2021.150440
- Temporal Variations in Optical Properties and Direct Radiative Forcing of Different Aerosol Chemical Components in Seoul using Hourly Aerosol Sampling S. Song & Z. Shon 10.5572/KOSAE.2014.30.1.001
- Source apportionment of PM2.5 using positive matrix factorization (PMF) at a rural site in Korea S. Kim et al. 10.1016/j.jenvman.2018.03.027
- Simulation of airborne trace metals in fine particulate matter over North America J. Xu et al. 10.1016/j.atmosenv.2019.116883
- Source-receptor relationship of transboundary particulate matter pollution between China, South Korea and Japan: Approaches, current understanding and limitations J. Liu et al. 10.1080/10643389.2021.1964308
- The Elemental Characteristics and Human Health Risk of PM2.5 during Haze Episode and Non-Haze Episode in Chiang Rai Province, Thailand S. Niampradit et al. 10.3390/ijerph19106127
- Chemical nature of PM2.5 and PM10 in Xi'an, China: Insights into primary emissions and secondary particle formation Q. Dai et al. 10.1016/j.envpol.2018.04.111
- Long-term source apportionment of ambient fine particulate matter (PM 2.5 ) in the Los Angeles Basin: A focus on emissions reduction from vehicular sources S. Hasheminassab et al. 10.1016/j.envpol.2014.06.012
- Prioritizing the control of emission sources to mitigate PM2.5 disparity in California H. Lee & H. Park 10.1016/j.atmosenv.2020.117316
- Source apportionment of PM2.5 at urban and suburban areas of the Pearl River Delta region, south China - With emphasis on ship emissions J. Tao et al. 10.1016/j.scitotenv.2016.08.175
- Characterization and Spatial Source Apportionments of Ambient PM10 and PM2.5 during the Heating Period in Tian’jin, China B. Liu et al. 10.4209/aaqr.2019.06.0281
- Long-term trends in concentrations and sources of PM2.5–bound metals and elements in central Los Angeles V. Farahani et al. 10.1016/j.atmosenv.2021.118361
- Multi-criteria ranking and receptor modelling of airborne fine particles at three sites in the Pearl River Delta region of China A. Friend et al. 10.1016/j.scitotenv.2010.11.008
- Identifying and quantifying PM2.5 pollution episodes with a fusion method of moving window technique and constrained Positive Matrix Factorization C. Huang et al. 10.1016/j.envpol.2022.120382
- Characteristics and source apportionment of PM2.5 on an island in Southeast China: Impact of sea-salt and monsoon T. Liu et al. 10.1016/j.atmosres.2019.104786
- Fine particle-bound polycyclic aromatic hydrocarbons (PAHs) at an urban site of Wuhan, central China: Characteristics, potential sources and cancer risks apportionment Y. Zhang et al. 10.1016/j.envpol.2018.11.111
- Seasonal variation of carbonaceous and ionic components in ultrafine and fine particles in an urban area of Japan K. Kim et al. 10.1016/j.atmosenv.2010.12.037
- Source apportionment of PM2.5 in Baton Rouge, Louisiana during 2009–2014 F. Han et al. 10.1016/j.scitotenv.2017.01.189
- Seasonal contrasting effects of PM2.5 on forest productivity in peri‑urban region of Seoul Metropolitan Area, Republic of Korea H. Lee et al. 10.1016/j.agrformet.2022.109149
- Size-resolved measurements of PM2.5 water-soluble elements in Iasi, north-eastern Romania: Seasonality, source apportionment and potential implications for human health A. Galon-Negru et al. 10.1016/j.scitotenv.2019.133839
- Spatiotemporal variability of the PM2.5 distribution and weather anomalies during severe pollution events: Observations from 462 air quality monitoring stations across South Korea S. Han et al. 10.1016/j.apr.2023.101676
- A Method to Quantitatively Apportion Pollutants at High Spatial and Temporal Resolution: The Stochastic Lagrangian Apportionment Method (SLAM) J. Lin & D. Wen 10.1021/es505603v
- In vitro bioaccessibility and health risk assessment of heavy metals in atmospheric particulate matters from three different functional areas of Shanghai, China H. Huang et al. 10.1016/j.scitotenv.2017.08.074
- Characterizing isotopic compositions of TC-C, NO3−-N, and NH4+-N in PM2.5 in South Korea: Impact of China's winter heating Y. Park et al. 10.1016/j.envpol.2017.10.072
- Reduction of atmospheric fine particle level by restricting the idling vehicles around a sensitive area Y. Lee et al. 10.1080/10962247.2018.1438320
- Seasonal variation and source apportionment of Oxygenated Polycyclic Aromatic Hydrocarbons (OPAHs) and Polycyclic Aromatic Hydrocarbons (PAHs) in PM2.5 in Seoul, Korea S. Shin et al. 10.1016/j.atmosenv.2022.118937
- Multilevel causal attributions on transboundary risk: Effects on attributions of responsibility, psychological distance, and policy support H. Kim & Y. Kim 10.1111/risa.14000
- Aerosol concentrations and composition in the North Pacific marine boundary layer Y. Choi et al. 10.1016/j.atmosenv.2017.09.047
- PM2.5 source attribution for Seoul in May from 2009 to 2013 using GEOS-Chem and its adjoint model H. Lee et al. 10.1016/j.envpol.2016.11.088
- Sensitivity of Nitrate Aerosol Production to Vehicular Emissions in an Urban Street M. Kim 10.3390/atmos10040212
- Human health risks assessment for airborne PM10-bound metals in Seoul, Korea D. Roy et al. 10.1007/s11356-019-05213-y
- Source apportionment of the oxidative potential of fine ambient particulate matter (PM2.5) in Athens, Greece S. Taghvaee et al. 10.1016/j.scitotenv.2018.11.016
- Difference in Chemical Composition of PM2.5 and Investigation of its Causing Factors between 2013 and 2015 in Air Pollution Intensive Monitoring Stations G. Yu et al. 10.5572/KOSAE.2018.34.1.016
- Impacts of atmospheric vertical structures on transboundary aerosol transport from China to South Korea H. Lee et al. 10.1038/s41598-019-49691-z
- Size‐resolved analysis of fine and ultrafine fractions of indoor particulate matter using energy dispersive X‐ray fluorescence and electron microscopy N. Hamdan et al. 10.1002/xrs.2813
- Investigating the regional difference of aerosol feedback effects over South Korea using the WRF-CMAQ two-way coupled modeling system J. Yoo et al. 10.1016/j.atmosenv.2019.116968
- Distribution, Sources, and Hazards of Ambient Carbonaceous Particulates in Central India N. Jaiswal et al. 10.1061/(ASCE)HZ.2153-5515.0000447
- Real-time measurements of mineral dust concentration in coarse particulate matter (PM10–2.5) by employing a novel optical-based technique in Los Angeles R. Tohidi et al. 10.1016/j.scitotenv.2022.156215
- Estimation of aerosol optical properties considering hygroscopicity and light absorption C. Jung et al. 10.1016/j.atmosenv.2015.01.058
- Estimate of Regional and Broad-based Sources for PM2.5Collected in an Industrial Area of Japan R. Nakatsubo et al. 10.5572/ajae.2014.8.3.126
- Development and application of three-dimensional potential source contribution function (3D-PSCF) I. Kim et al. 10.1007/s11356-016-6787-x
- Local and transboundary impacts of PM2.5 sources identified in Seoul during the early stage of the COVID-19 outbreak Y. Kim et al. 10.1016/j.apr.2022.101510
- Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility W. Won et al. 10.1038/s41598-021-95834-6
- Apportioning and Locating Nonmethane Hydrocarbon Sources to a Background Site in Korea E. Choi et al. 10.1021/es903634e
- Back-trajectory analyses for evaluating the transboundary transport effect to the aerosol pollution in South Korea J. Koo et al. 10.1016/j.envpol.2024.124031
- Long-term trends in the contribution of PM2.5sources to organic carbon (OC) in the Los Angeles basin and the effect of PM emission regulations A. Altuwayjiri et al. 10.1039/D0FD00074D
- Study of PM2.5 Using PMF Receptor Model and Advancement of Source Apportionment I. Ryoo et al. 10.5572/KOSAE.2022.38.4.493
- Spatial and seasonal variations of PM 2.5 mass and species during 2010 in Xi'an, China P. Wang et al. 10.1016/j.scitotenv.2014.11.007
- Long-term changes in PM10 levels in urban air in relation with air quality control efforts K. Kim & Z. Shon 10.1016/j.atmosenv.2011.03.033
- Empirical relationship between particulate matter and aerosol optical depth over Northern Tien-Shan, Central Asia B. Chen et al. 10.1007/s11869-012-0192-5
- Local and inter-regional contributions to PM2.5 nitrate and sulfate in China Q. Ying et al. 10.1016/j.atmosenv.2014.05.078
- Impacts of internally and externally mixed anthropogenic sulfate and carbonaceous aerosols on East Asian climate L. Zhang et al. 10.1007/s13351-011-0508-7
- Measurement report: Characterization of severe spring haze episodes and influences of long-range transport in the Seoul metropolitan area in March 2019 H. Kim et al. 10.5194/acp-20-11527-2020
- Increases in wintertime PM2.5 sodium and chloride linked to snowfall and road salt application K. Kolesar et al. 10.1016/j.atmosenv.2018.01.008
- Comparison of Chemical Composition of Particulate Matter Emitted from a Gasoline Direct Injected (GDI) Vehicle and a Port Fuel Injected (PFI) Vehicle using High Resolution Time of Flight Aerosol Mass Spectrometer (HR-ToF-AMS) J. Lee et al. 10.5572/ajae.2016.10.1.051
- Emission control priority of PM2.5-bound heavy metals in different seasons: A comprehensive analysis from health risk perspective J. Liu et al. 10.1016/j.scitotenv.2018.06.226
- Composition, seasonal variation, and sources of PM10 from world heritage site Taj Mahal, Agra R. Singh & B. Sharma 10.1007/s10661-011-2392-0
- Characterization and source apportionment of PM2.5 based on error estimation from EPA PMF 5.0 model at a medium city in China B. Liu et al. 10.1016/j.envpol.2017.01.005
- Characteristics of total gaseous mercury (TGM) concentrations in an industrial complex in South Korea: impacts from local sources Y. Seo et al. 10.5194/acp-16-10215-2016
- Ozone and PM related health co-benefits of climate change policies in Mexico D. Crawford-Brown et al. 10.1016/j.envsci.2011.12.006
- Source directional apportionment of ambient PM2.5 in urban and industrial sites at a megacity in China B. Liu et al. 10.1016/j.atmosres.2019.104764
- Augmentation of PM1.0 measurements based on machine learning model and environmental factors H. Hwang et al. 10.1016/j.jes.2024.06.029
- Estimated accuracy of three common trajectory statistical methods V. Kabashnikov et al. 10.1016/j.atmosenv.2011.07.006
- Chemical characterization, the transport pathways and potential sources of PM2.5 in Shanghai: Seasonal variations M. Zhao et al. 10.1016/j.atmosres.2015.02.003
- Chemical composition and source apportionment of PM2.5 in Seoul during 2018–2020 M. Jeong et al. 10.1016/j.apr.2024.102077
- Reconstructing Primary and Secondary Components of PM2.5Composition for an Urban Atmosphere S. Behera & M. Sharma 10.1080/02786826.2010.504245
- Characterization and source apportionment of ambient air particulate matter (PM2.5) in Karachi M. Mansha et al. 10.1016/j.scitotenv.2011.10.056
- Characteristics of Locally Occurring High PM2.5 Concentration Episodes in a Small City in South Korea S. Choi et al. 10.3390/atmos12010086
- A refinement of the emission data for Kola Peninsula based on inverse dispersion modelling M. Prank et al. 10.5194/acp-10-10849-2010
- The Interannual Variation of Transboundary Contributions from Chinese Emissions of PM2.5 to South Korea X. Han & M. Zhang 10.1007/s00376-021-1003-4
- Air Pollution in New Delhi during Late Winter: An Overview of a Group of Campaign Studies Focusing on Composition and Sources S. Talukdar et al. 10.3390/atmos12111432
- Chemical characterization and source apportionment of PM2.5 at an urban site in Gwangju, Korea G. Yu & S. Park 10.1016/j.apr.2021.101092
- An analysis on the concentration characteristics of PM2.5 in Seoul, Korea from 2005 to 2012 M. Lee 10.1007/s13143-014-0048-z
- Source apportionment of ambient PM2.5 in two locations in central Tehran using the Positive Matrix Factorization (PMF) model S. Taghvaee et al. 10.1016/j.scitotenv.2018.02.096
- Deposition pattern and throughfall fluxes in secondary cool temperate forest, South Korea M. Kumar Gautam et al. 10.1016/j.atmosenv.2017.04.030
- Characterization of Fine Particulate Matter and Associations between Particulate Chemical Constituents and Mortality in Seoul, Korea J. Son et al. 10.1289/ehp.1104316
- Long-term Characteristics of PM2.5 and Its Metallic Components in Chuncheon, Korea J. Byun et al. 10.5572/KOSAE.2018.34.3.406
- Ambient polychlorinated biphenyl levels and their evaluation in a metropolitan city S. Kuzu et al. 10.1016/j.scitotenv.2013.11.031
- The Impact of Air Pollution, Including Asian Sand Dust, on Respiratory Symptoms and Health-related Quality of Life in Outpatients With Chronic Respiratory Disease in Korea: A Panel Study M. Nakao et al. 10.3961/jpmph.18.021
- Source Identification and Estimation of Source Apportionment for Ambient PM10 in Seoul, Korea S. Yi & I. Hwang 10.5572/ajae.2014.8.3.115
- Fifteen-year trends in carbon species and PM2.5 in Seoul, South Korea (2003–2017) Y. Kim et al. 10.1016/j.chemosphere.2020.127750
- Characterization of Classroom Fine Dust in Urban Elementary Schools S. Heo et al. 10.5572/KOSAE.2021.37.1.113
- Source apportionment of PM<sub>2.5</sub> in Cork Harbour, Ireland using a combination of single particle mass spectrometry and quantitative semi-continuous measurements R. Healy et al. 10.5194/acp-10-9593-2010
- Comparison of the Chemical Characteristics and Source Apportionment of PM1.0 and PM2.5 Using Real-time Air Quality Monitoring Network Data of Air Pollutants S. Oh et al. 10.5572/KOSAE.2023.39.4.448
- Multicomponent aerosol mass efficiency with various mixture types for polydispersed aerosol C. Jung et al. 10.1080/02726351.2017.1313796
- Source apportionment of fine particulate matter in Macao, China with and without organic tracers: A comparative study using positive matrix factorization Q. Wang et al. 10.1016/j.atmosenv.2018.10.057
- Speciation of organic compounds in aerosols from urban background sites in the winter season C. Alves et al. 10.1016/j.atmosres.2014.07.012
- Long term trends of chemical constituents and source contributions of PM2.5 in Seoul E. Park et al. 10.1016/j.chemosphere.2020.126371
- Characterizing Black Carbon Emissions from Gasoline, LPG, and Diesel Vehicles via Transient Chassis-Dynamometer Tests G. Park et al. 10.3390/app10175856
- Source apportionment of PM2.5 in Seoul, South Korea and Beijing, China using dispersion normalized PMF J. Park et al. 10.1016/j.scitotenv.2022.155056
- Evaluation of the effect of Global Sulfur Cap 2020 on a Japanese inland sea area M. Tauchi et al. 10.1016/j.cstp.2022.02.006
- Estimation of the Source Contributions for Carbonaceous Aerosols at a Background Site in Korea S. Han et al. 10.5572/ajae.2018.12.4.311
- Chemical characterization of PM10 samples collected simultaneously at a rural and an urban site in the Caribbean coast: Local and long-range source apportionment Y. Morera-Gómez et al. 10.1016/j.atmosenv.2018.08.058
- Contributions of domestic sources to PM2.5 in South Korea N. Kumar et al. 10.1016/j.atmosenv.2022.119273
- Health effects of PM2.5 constituents and source contributions in major metropolitan cities, South Korea S. Kim et al. 10.1007/s11356-022-21592-1
- Seasonal characteristics of aerosols (PM2.5 and PM10) and their source apportionment using PMF: A four year study over Delhi, India S. Jain et al. 10.1016/j.envpol.2020.114337
- Seasonal Variation of PM2.5 and Its Major Ionic Components in an Urban Monitoring Site S. Ghosh et al. 10.5572/ajae.2012.6.1.023
- Estimation of the contribution of biomass fuel burning activities in North Korea to the air quality in Seoul, South Korea: Application of the 3D-PSCF method I. Kim et al. 10.1016/j.atmosres.2019.104628
- Identifying pollutant source directions using multiple analysis methods at a rural location in New York M. Bae et al. 10.1016/j.atmosenv.2011.02.020
- Dust and dust storms over Kuwait: Ground-based and satellite observations I. Sabbah et al. 10.1016/j.jastp.2018.06.006
- Using Short‐Term CO/CO2 Ratios to Assess Air Mass Differences Over the Korean Peninsula During KORUS‐AQ H. Halliday et al. 10.1029/2018JD029697
- Evaluating PM2.5 ionic components and source apportionment in Jinan, China from 2004 to 2008 using trajectory statistical methods S. Cheng et al. 10.1039/c0em00756k
- Ambient PM2.5 in the residential area near industrial complexes: Spatiotemporal variation, source apportionment, and health impact C. Hsu et al. 10.1016/j.scitotenv.2017.02.212
- Receptor modeling and health risk assessment of suspended heavy metal particles in Tehran’s District 21 S. Karimi et al. 10.1007/s13762-022-04685-9
- Associations of particulate matter and its components with emergency room visits for cardiovascular and respiratory diseases S. Hwang et al. 10.1371/journal.pone.0183224
- Investigation of PM<sub>2.5</sub> Pollution Episodes in Gwangju G. Yu et al. 10.5572/KOSAE.2015.31.3.269
- Chemical Characteristics of Water-Soluble Ions in Particulate Matter in Three Metropolitan Areas in the North China Plain X. Dao et al. 10.1371/journal.pone.0113831
- Chemical characteristics of PM2.5 aerosol in Incheon, Korea J. Choi et al. 10.1016/j.atmosenv.2012.06.078
- High PM2.5 Concentrations in a Small Residential City with Low Anthropogenic Emissions in South Korea J. Byun et al. 10.3390/atmos11111159
- Numerical simulation of interannual variation in transboundary contributions from Chinese emissions to PM2.5 mass burden in South Korea X. Han et al. 10.1016/j.atmosenv.2021.118440
- Physical and chemical mechanisms of the daily-to-seasonal variation of PM10 in Korea S. Kim & K. Kim 10.1016/j.scitotenv.2019.136429
- Association of social deprivation and outdoor air pollution with pulmonary tuberculosis in spatiotemporal analysis M. Sohn et al. 10.1080/09603123.2019.1566522
- Hygroscopicity of urban aerosols and its link to size-resolved chemical composition during spring and summer in Seoul, Korea N. Kim et al. 10.5194/acp-20-11245-2020
- Source apportionment of urban road dust using four multivariate receptor models J. Jose & B. Srimuruganandam 10.1007/s12665-021-09960-5
- Source apportionment of fine atmospheric particles using positive matrix factorization in Pretoria, South Africa A. Adeyemi et al. 10.1007/s10661-021-09483-3
- Trace element characterization and source identification of particulate matter of different sizes in Hanoi, Vietnam Q. Vuong et al. 10.1016/j.uclim.2023.101408
- Road dust contribution to PM levels – Evaluation of the effectiveness of street washing activities by means of Positive Matrix Factorization A. Karanasiou et al. 10.1016/j.atmosenv.2011.01.067
- Source apportionments of PM2.5 organic carbon using molecular marker Positive Matrix Factorization and comparison of results from different receptor models J. Heo et al. 10.1016/j.atmosenv.2013.03.004
- Fossil and non-fossil sources of the carbonaceous component of PM2.5 in forest and urban areas J. Cha et al. 10.1038/s41598-023-32721-2
- Sources apportionment of PM 2.5 in a background site in the North China Plain L. Yao et al. 10.1016/j.scitotenv.2015.09.123
- Different Characteristics of PM2.5 Measured in Downtown and Suburban Areas of a Medium-Sized City in South Korea S. Park et al. 10.3390/atmos12070832
- Enhancement of modeling performance by including organic markers to the PMF modeling for the PM2.5 at Seoul S. Shin et al. 10.1007/s11869-021-01087-7
- Behavior of sulfate on the sea surface during its transport from Eastern China to South Korea W. Jeon et al. 10.1016/j.atmosenv.2018.05.017
- Approaches for identifying PM2.5 source types and source areas at a remote background site of South China in spring K. Zhang et al. 10.1016/j.scitotenv.2019.07.178
- Secondary organic aerosol production from local emissions dominates the organic aerosol budget over Seoul, South Korea, during KORUS-AQ B. Nault et al. 10.5194/acp-18-17769-2018
- Contributions and source identification of biogenic and anthropogenic hydrocarbons to secondary organic aerosols at Mt. Tai in 2014 Y. Zhu et al. 10.1016/j.envpol.2016.10.070
- Ammonia in the atmosphere: a review on emission sources, atmospheric chemistry and deposition on terrestrial bodies S. Behera et al. 10.1007/s11356-013-2051-9
- Sources and atmospheric processing of winter aerosols in Seoul, Korea: insights from real-time measurements using a high-resolution aerosol mass spectrometer H. Kim et al. 10.5194/acp-17-2009-2017
- PM2.5 carbonaceous components and mineral dust at a COALESCE network site - Bhopal, India: Estimating site-specific optical characteristics A. Bhardwaj et al. 10.1016/j.scitotenv.2023.163277
- Comparison of transport pathways and potential sources of PM10 in two cities around a large Chinese lake using the modified trajectory analysis X. Kong et al. 10.1016/j.atmosres.2012.10.012
- Source identification of total mercury (TM) wet deposition using a Lagrangian particle dispersion model (LPDM) Y. Seo et al. 10.1016/j.atmosenv.2015.01.009
- Source Apportionment of PM10 at Pyeongtaek Area Using Positive Matrix Factorization (PMF) Model J. Heo et al. 10.5572/KOSAE.2018.34.6.849
- Characteristics and Source Apportionment of Summertime Volatile Organic Compounds in a Fast Developing City in the Yangtze River Delta, China J. Zhang et al. 10.3390/atmos9100373
- Source identification of PM2.5 at a port and an adjacent urban site in a coastal city of China: Impact of ship emissions and port activities L. Xu et al. 10.1016/j.scitotenv.2018.04.087
- Characterization of PM2.5 Mass in Relation to PM1.0 and PM10 in Megacity Seoul J. Han et al. 10.5572/ajae.2021.124
- Long-range transport of air pollutants originating in China: A possible major cause of multi-day high-PM10 episodes during cold season in Seoul, Korea H. Oh et al. 10.1016/j.atmosenv.2015.03.005
- Sources of airborne particulate matter-bound metals and spatial-seasonal variability of health risk potentials in four large cities, South Korea E. Choi et al. 10.1007/s11356-021-18445-8
- Effects of transboundary PM2.5 transported from China on the regional PM2.5 concentrations in South Korea: A spatial panel-data analysis M. Jun et al. 10.1371/journal.pone.0281988
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- Source apportionment of PM2.5 at the coastal area in Korea J. Choi et al. 10.1016/j.scitotenv.2012.12.047
- Chemical characterization and source apportionment of PM2.5 aerosols in a megacity of Southeast China H. Li et al. 10.1016/j.atmosres.2016.07.005
- The real-time method of assessing the contribution of individual sources on visibility degradation in Taichung W. Chen et al. 10.1016/j.scitotenv.2014.07.120
- Composition analysis of PM2.5 at multiple sites in Zhengzhou, China: implications for characterization and source apportionment at different pollution levels X. Liu et al. 10.1007/s11356-020-10943-5
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