Articles | Volume 15, issue 18
https://doi.org/10.5194/acp-15-10857-2015
© Author(s) 2015. 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-15-10857-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Spatiotemporal variations of air pollutants (O3, NO2, SO2, CO, PM10, and VOCs) with land-use types
J.-M. Yoo
Department of Science Education, EwhaWomans University, Seoul, Korea
M.-J. Jeong
CORRESPONDING AUTHOR
Department of Atmospheric & Environmental Sciences, Gangneung-Wonju National University, Gangneung, Gangwon-do, Korea
D. Kim
Universities Space Research Association, Columbia, MD, USA
W. R. Stockwell
Department of Chemistry, Howard University, Washington, DC, USA
J.-H. Yang
Deptartment of Atmospheric Science and Engineering, EwhaWomans University, Seoul, Korea
H.-W. Shin
Department of Atmospheric & Environmental Sciences, Gangneung-Wonju National University, Gangneung, Gangwon-do, Korea
M.-I. Lee
School of Urban & Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea
C.-K. Song
National Institute of Environmental Research, Incheon, Korea
S.-D. Lee
National Institute of Environmental Research, Incheon, Korea
Viewed
Total article views: 4,810 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jun 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,291 | 2,391 | 128 | 4,810 | 110 | 125 |
- HTML: 2,291
- PDF: 2,391
- XML: 128
- Total: 4,810
- BibTeX: 110
- EndNote: 125
Total article views: 3,928 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Sep 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,930 | 1,890 | 108 | 3,928 | 95 | 96 |
- HTML: 1,930
- PDF: 1,890
- XML: 108
- Total: 3,928
- BibTeX: 95
- EndNote: 96
Total article views: 882 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jun 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
361 | 501 | 20 | 882 | 15 | 29 |
- HTML: 361
- PDF: 501
- XML: 20
- Total: 882
- BibTeX: 15
- EndNote: 29
Cited
53 citations as recorded by crossref.
- Investigation of COVID-19-related lockdowns on the air pollution changes in augsburg in 2020, Germany X. Cao et al. 10.1016/j.apr.2022.101536
- Long-term trend analysis of CO in the Yongsan district of Seoul, Korea, between the years 1987 and 2013 A. Khan et al. 10.1016/j.apr.2017.03.006
- Weekly Cycle of Pollutant Concentrations in Near-Surface Air over Moscow N. Elansky et al. 10.1134/S1024856019010068
- Statistical Characteristics of Air Quality Index DAQx*-Specific Air Pollutants Differentiated by Types of Air Quality Monitoring Stations: A Case Study of Seoul, Republic of Korea H. Lee et al. 10.3390/su15118599
- 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
- Air Pollutants in an Intermediate City: Variability and Interactions with Weather and Anthropogenic Elements in Bahía Blanca, Argentina M. Fernández et al. 10.1007/s40710-021-00502-6
- Spatial and temporal evaluation of long term trend (2005–2014) of OMI retrieved NO2 and SO2 concentrations in Henan Province, China L. Zhang et al. 10.1016/j.atmosenv.2016.11.067
- Estimating historical SO2 level across the whole China during 1973–2014 using random forest model R. Li et al. 10.1016/j.chemosphere.2020.125839
- Quantifying primary and secondary source contributions to ultrafine particles in the UK urban background S. Hama et al. 10.1016/j.atmosenv.2017.07.013
- Performance evaluation of light weight gas sensor system suitable for airborne applications against co-location gas analysers over Delhi A. Ahlawat et al. 10.1016/j.scitotenv.2019.134016
- Impact of Varying Wind Patterns on PM10 Concentrations in the Seoul Metropolitan Area in South Korea from 2012 to 2016 W. Jeon et al. 10.1175/JAMC-D-19-0102.1
- Estimating daily full-coverage near surface O3, CO, and NO2 concentrations at a high spatial resolution over China based on S5P-TROPOMI and GEOS-FP Y. Wang et al. 10.1016/j.isprsjprs.2021.03.018
- Seasonal impact to air qualities in industrial areas of the Arabian Gulf region A. Al-Taani et al. 10.4491/eer.2017.153
- Novel Technology for the Removal of Brilliant Green from Water: Influence of Post-Oxidation, Environmental Conditions, and Capping M. Ganguly & P. Ariya 10.1021/acsomega.9b00757
- Diurnal variation of aerosol optical depth and PM<sub>2.5</sub> in South Korea: a synthesis from AERONET, satellite (GOCI), KORUS-AQ observation, and the WRF-Chem model E. Lennartson et al. 10.5194/acp-18-15125-2018
- Pollution Characteristics of Hazardous Air Pollutants in Seoul: Temporal Variation, Source Identification, and Risk Assessment Y. Choi et al. 10.5572/KOSAE.2024.40.1.84
- Long-term (2005–2015) trend analysis of PM2.5 precursor gas NO2 and SO2 concentrations in Taiwan C. Lee et al. 10.1007/s11356-018-2273-y
- Assessment of the sustainable potential of parking lots in Bahía Blanca City, Argentina J. Gentili et al. 10.1007/s10708-019-10021-5
- Spatio-temporal air pollution modelling using a compositional approach J. Sánchez-Balseca & A. Pérez-Foguet 10.1016/j.heliyon.2020.e04794
- Exposure to ambient air pollution and the incidence of lung cancer and breast cancer in the Ontario Population Health and Environment Cohort L. Bai et al. 10.1002/ijc.32575
- Air pollution and gender imbalance in labor supply responses: Evidence from South Korea A. Han et al. 10.1016/j.econmod.2023.106290
- Temporal variability of tropospheric ozone and ozone profiles in the Korean Peninsula during the East Asian summer monsoon: insights from multiple measurements and reanalysis datasets J. Bak et al. 10.5194/acp-22-14177-2022
- Spatio-temporal air quality assessment in Tehran, Iran, during the COVID-19 lockdown periods M. Bagherinia et al. 10.1080/10106049.2023.2169374
- Gradient-Based Colorimetric Array Sensor for Continuous Monitoring of Multiple Gas Analytes C. Lin et al. 10.1021/acssensors.0c01971
- Hazardous gases sensors based on conducting polymer composites: Review M. Farea et al. 10.1016/j.cplett.2021.138703
- Association between short-term air pollution exposure and attention-deficit/hyperactivity disorder-related hospital admissions among adolescents: A nationwide time-series study J. Park et al. 10.1016/j.envpol.2020.115369
- Photocatalytic performance of alkali-activated materials functionalized with β-Bi2O3/Bi2O2CO3 heterostructures for environmental remediation E. Luévano-Hipólito et al. 10.1016/j.conbuildmat.2021.126205
- Exploratory analysis of the atmospheric levels of BTEX, criteria air pollutants and meteorological parameters in a tropical urban area in Northeastern Brazil L. Cruz et al. 10.1016/j.microc.2019.104265
- Source Apportionment of Atmospheric Ammonia at 16 Sites in China Using a Bayesian Isotope Mixing Model Based on δ15N–NHx Signatures Y. Zhang et al. 10.1021/acs.est.2c09796
- 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
- Rain-plume interactions at Nyiragongo and Nyamulagira volcanoes and associated rainwater hazards, East Africa C. Balagizi et al. 10.1016/j.apgeochem.2017.03.018
- Assessing the Nonlinear Relationship between Land Cover Change and PM10 Concentration Change in China X. Xu et al. 10.3390/land13060766
- Air pollution in Germany: Spatio-temporal variations and their driving factors based on continuous data from 2008 to 2018 X. Liu et al. 10.1016/j.envpol.2021.116732
- Temporal variability of surface air pollutants in megacities of South Korea T. Lee et al. 10.3389/fenvs.2022.915531
- Variability of the PM10 Concentration in the Urban Atmosphere of Sabah and Its Responses to Diurnal and Weekly Changes of CO, NO2, SO2 and Ozone J. Chang et al. 10.5572/ajae.2018.12.2.109
- Weekly patterns and weekend effects of air pollution in the Moscow megacity N. Elansky et al. 10.1016/j.atmosenv.2020.117303
- Carbon monoxide and nitrogen dioxide patterns associated with changes in energy use during the COVID-19 pandemic in Kenya C. Ang'u et al. 10.3934/environsci.2022017
- Measurement report: Volatile organic compound characteristics of the different land-use types in Shanghai: spatiotemporal variation, source apportionment and impact on secondary formations of ozone and aerosol Y. Han et al. 10.5194/acp-23-2877-2023
- Spatial and temporal variation of urban air pollutants and their concentrations in relation to meteorological conditions at four sites in Busan, South Korea E. Jang et al. 10.1016/j.apr.2016.07.009
- Air Pollutants During COVID-19 Lockdown Period in India . Vignesh K. S. & P. Venkatasubramanian 10.20965/jdr.2021.p0088
- Weekend effect on air pollutant levels in southernmost cities of Brazil with different economic activities L. de Vasconcellos Ceglinski et al. 10.1007/s10661-022-10518-6
- Regional Differences of Primary Meteorological Factors Impacting O3 Variability in South Korea Y. Jeong et al. 10.3390/atmos11010074
- Synergistic analysis of atmospheric pollutants NO2 and PM2.5 based on land use regression models: a case study of the Yangtze River Delta, China M. Liu et al. 10.1007/s10661-023-11637-4
- Characterization of trace elements and Pb isotopes in PM2.5 and isotopic source identification during haze episodes in Seoul, Korea S. Lee et al. 10.1016/j.apr.2022.101442
- Investigating uncertainties in air quality models used in GMAP/SIJAQ 2021 field campaign: General performance of different models and ensemble results Y. Cha et al. 10.1016/j.atmosenv.2024.120896
- Exposure to ambient air pollution and the incidence of congestive heart failure and acute myocardial infarction: A population-based study of 5.1 million Canadian adults living in Ontario L. Bai et al. 10.1016/j.envint.2019.105004
- Spatiotemporal variation of forest cover and its relation to air quality in urban Andean socio-ecological systems S. Bonilla-Bedoya et al. 10.1016/j.ufug.2021.127008
- An alternative conception of PM10 concentration changes after short-term precipitation in urban environment T. Olszowski & Z. Ziembik 10.1016/j.jaerosci.2018.04.001
- Use of a dense monitoring network of low-cost instruments to observe local changes in the diurnal ozone cycles as marine air passes over a geographically isolated urban centre L. Weissert et al. 10.1016/j.scitotenv.2016.09.229
- Comparative Analysis of Long-Term Variation Characteristics of SO2, NO2, and O3 in the Ecological and Economic Zones of the Western Sichuan Plateau, Southwest China P. Zhao et al. 10.3390/ijerph16183265
- Air Pollution Prediction in Mass Rallies With a New Temporally-Weighted Sample-Based Multitask Learner K. Gu et al. 10.1109/TIM.2022.3157365
- Urban surface classification using semi-supervised domain adaptive deep learning models and its application in urban environment studies X. Ding et al. 10.1007/s11356-023-30843-8
- A Study on the Impact of Poly(3-hexylthiophene) Chain Length and Other Applied Side-Chains on the NO2 Sensing Properties of Conducting Graft Copolymers M. Procek et al. 10.3390/s18030928
52 citations as recorded by crossref.
- Investigation of COVID-19-related lockdowns on the air pollution changes in augsburg in 2020, Germany X. Cao et al. 10.1016/j.apr.2022.101536
- Long-term trend analysis of CO in the Yongsan district of Seoul, Korea, between the years 1987 and 2013 A. Khan et al. 10.1016/j.apr.2017.03.006
- Weekly Cycle of Pollutant Concentrations in Near-Surface Air over Moscow N. Elansky et al. 10.1134/S1024856019010068
- Statistical Characteristics of Air Quality Index DAQx*-Specific Air Pollutants Differentiated by Types of Air Quality Monitoring Stations: A Case Study of Seoul, Republic of Korea H. Lee et al. 10.3390/su15118599
- 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
- Air Pollutants in an Intermediate City: Variability and Interactions with Weather and Anthropogenic Elements in Bahía Blanca, Argentina M. Fernández et al. 10.1007/s40710-021-00502-6
- Spatial and temporal evaluation of long term trend (2005–2014) of OMI retrieved NO2 and SO2 concentrations in Henan Province, China L. Zhang et al. 10.1016/j.atmosenv.2016.11.067
- Estimating historical SO2 level across the whole China during 1973–2014 using random forest model R. Li et al. 10.1016/j.chemosphere.2020.125839
- Quantifying primary and secondary source contributions to ultrafine particles in the UK urban background S. Hama et al. 10.1016/j.atmosenv.2017.07.013
- Performance evaluation of light weight gas sensor system suitable for airborne applications against co-location gas analysers over Delhi A. Ahlawat et al. 10.1016/j.scitotenv.2019.134016
- Impact of Varying Wind Patterns on PM10 Concentrations in the Seoul Metropolitan Area in South Korea from 2012 to 2016 W. Jeon et al. 10.1175/JAMC-D-19-0102.1
- Estimating daily full-coverage near surface O3, CO, and NO2 concentrations at a high spatial resolution over China based on S5P-TROPOMI and GEOS-FP Y. Wang et al. 10.1016/j.isprsjprs.2021.03.018
- Seasonal impact to air qualities in industrial areas of the Arabian Gulf region A. Al-Taani et al. 10.4491/eer.2017.153
- Novel Technology for the Removal of Brilliant Green from Water: Influence of Post-Oxidation, Environmental Conditions, and Capping M. Ganguly & P. Ariya 10.1021/acsomega.9b00757
- Diurnal variation of aerosol optical depth and PM<sub>2.5</sub> in South Korea: a synthesis from AERONET, satellite (GOCI), KORUS-AQ observation, and the WRF-Chem model E. Lennartson et al. 10.5194/acp-18-15125-2018
- Pollution Characteristics of Hazardous Air Pollutants in Seoul: Temporal Variation, Source Identification, and Risk Assessment Y. Choi et al. 10.5572/KOSAE.2024.40.1.84
- Long-term (2005–2015) trend analysis of PM2.5 precursor gas NO2 and SO2 concentrations in Taiwan C. Lee et al. 10.1007/s11356-018-2273-y
- Assessment of the sustainable potential of parking lots in Bahía Blanca City, Argentina J. Gentili et al. 10.1007/s10708-019-10021-5
- Spatio-temporal air pollution modelling using a compositional approach J. Sánchez-Balseca & A. Pérez-Foguet 10.1016/j.heliyon.2020.e04794
- Exposure to ambient air pollution and the incidence of lung cancer and breast cancer in the Ontario Population Health and Environment Cohort L. Bai et al. 10.1002/ijc.32575
- Air pollution and gender imbalance in labor supply responses: Evidence from South Korea A. Han et al. 10.1016/j.econmod.2023.106290
- Temporal variability of tropospheric ozone and ozone profiles in the Korean Peninsula during the East Asian summer monsoon: insights from multiple measurements and reanalysis datasets J. Bak et al. 10.5194/acp-22-14177-2022
- Spatio-temporal air quality assessment in Tehran, Iran, during the COVID-19 lockdown periods M. Bagherinia et al. 10.1080/10106049.2023.2169374
- Gradient-Based Colorimetric Array Sensor for Continuous Monitoring of Multiple Gas Analytes C. Lin et al. 10.1021/acssensors.0c01971
- Hazardous gases sensors based on conducting polymer composites: Review M. Farea et al. 10.1016/j.cplett.2021.138703
- Association between short-term air pollution exposure and attention-deficit/hyperactivity disorder-related hospital admissions among adolescents: A nationwide time-series study J. Park et al. 10.1016/j.envpol.2020.115369
- Photocatalytic performance of alkali-activated materials functionalized with β-Bi2O3/Bi2O2CO3 heterostructures for environmental remediation E. Luévano-Hipólito et al. 10.1016/j.conbuildmat.2021.126205
- Exploratory analysis of the atmospheric levels of BTEX, criteria air pollutants and meteorological parameters in a tropical urban area in Northeastern Brazil L. Cruz et al. 10.1016/j.microc.2019.104265
- Source Apportionment of Atmospheric Ammonia at 16 Sites in China Using a Bayesian Isotope Mixing Model Based on δ15N–NHx Signatures Y. Zhang et al. 10.1021/acs.est.2c09796
- 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
- Rain-plume interactions at Nyiragongo and Nyamulagira volcanoes and associated rainwater hazards, East Africa C. Balagizi et al. 10.1016/j.apgeochem.2017.03.018
- Assessing the Nonlinear Relationship between Land Cover Change and PM10 Concentration Change in China X. Xu et al. 10.3390/land13060766
- Air pollution in Germany: Spatio-temporal variations and their driving factors based on continuous data from 2008 to 2018 X. Liu et al. 10.1016/j.envpol.2021.116732
- Temporal variability of surface air pollutants in megacities of South Korea T. Lee et al. 10.3389/fenvs.2022.915531
- Variability of the PM10 Concentration in the Urban Atmosphere of Sabah and Its Responses to Diurnal and Weekly Changes of CO, NO2, SO2 and Ozone J. Chang et al. 10.5572/ajae.2018.12.2.109
- Weekly patterns and weekend effects of air pollution in the Moscow megacity N. Elansky et al. 10.1016/j.atmosenv.2020.117303
- Carbon monoxide and nitrogen dioxide patterns associated with changes in energy use during the COVID-19 pandemic in Kenya C. Ang'u et al. 10.3934/environsci.2022017
- Measurement report: Volatile organic compound characteristics of the different land-use types in Shanghai: spatiotemporal variation, source apportionment and impact on secondary formations of ozone and aerosol Y. Han et al. 10.5194/acp-23-2877-2023
- Spatial and temporal variation of urban air pollutants and their concentrations in relation to meteorological conditions at four sites in Busan, South Korea E. Jang et al. 10.1016/j.apr.2016.07.009
- Air Pollutants During COVID-19 Lockdown Period in India . Vignesh K. S. & P. Venkatasubramanian 10.20965/jdr.2021.p0088
- Weekend effect on air pollutant levels in southernmost cities of Brazil with different economic activities L. de Vasconcellos Ceglinski et al. 10.1007/s10661-022-10518-6
- Regional Differences of Primary Meteorological Factors Impacting O3 Variability in South Korea Y. Jeong et al. 10.3390/atmos11010074
- Synergistic analysis of atmospheric pollutants NO2 and PM2.5 based on land use regression models: a case study of the Yangtze River Delta, China M. Liu et al. 10.1007/s10661-023-11637-4
- Characterization of trace elements and Pb isotopes in PM2.5 and isotopic source identification during haze episodes in Seoul, Korea S. Lee et al. 10.1016/j.apr.2022.101442
- Investigating uncertainties in air quality models used in GMAP/SIJAQ 2021 field campaign: General performance of different models and ensemble results Y. Cha et al. 10.1016/j.atmosenv.2024.120896
- Exposure to ambient air pollution and the incidence of congestive heart failure and acute myocardial infarction: A population-based study of 5.1 million Canadian adults living in Ontario L. Bai et al. 10.1016/j.envint.2019.105004
- Spatiotemporal variation of forest cover and its relation to air quality in urban Andean socio-ecological systems S. Bonilla-Bedoya et al. 10.1016/j.ufug.2021.127008
- An alternative conception of PM10 concentration changes after short-term precipitation in urban environment T. Olszowski & Z. Ziembik 10.1016/j.jaerosci.2018.04.001
- Use of a dense monitoring network of low-cost instruments to observe local changes in the diurnal ozone cycles as marine air passes over a geographically isolated urban centre L. Weissert et al. 10.1016/j.scitotenv.2016.09.229
- Comparative Analysis of Long-Term Variation Characteristics of SO2, NO2, and O3 in the Ecological and Economic Zones of the Western Sichuan Plateau, Southwest China P. Zhao et al. 10.3390/ijerph16183265
- Air Pollution Prediction in Mass Rallies With a New Temporally-Weighted Sample-Based Multitask Learner K. Gu et al. 10.1109/TIM.2022.3157365
- Urban surface classification using semi-supervised domain adaptive deep learning models and its application in urban environment studies X. Ding et al. 10.1007/s11356-023-30843-8
Saved (final revised paper)
Saved (preprint)
Latest update: 23 Nov 2024
Short summary
Major air pollutants (O3, NO2, SO2, CO, PM10, and VOCs) with long-term records from a dense observation network over Korea were extensively analyzed with land-use types, classified by Korean government, consistent with satellite-observed land covers. The weekly cycles of the pollutant showed different behaviors with the types. Regardless of land-use types, ozone has an increasing trend, while the other pollutants have decreasing trends. Most areas in Korea were VOCs-limited for ozone chemistry.
Major air pollutants (O3, NO2, SO2, CO, PM10, and VOCs) with long-term records from a dense...
Altmetrics
Final-revised paper
Preprint