Articles | Volume 10, issue 11
https://doi.org/10.5194/gmd-10-4245-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-10-4245-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Source apportionment and sensitivity analysis: two methodologies with two different purposes
Alain Clappier
Université de Strasbourg, Laboratoire Image Ville Environnement, Strasbourg, France
Claudio A. Belis
European Commission, Joint Research Centre, Ispra, Italy
Denise Pernigotti
European Commission, Joint Research Centre, Ispra, Italy
Philippe Thunis
CORRESPONDING AUTHOR
European Commission, Joint Research Centre, Ispra, Italy
Viewed
Total article views: 4,758 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Jul 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,969 | 1,663 | 126 | 4,758 | 151 | 163 |
- HTML: 2,969
- PDF: 1,663
- XML: 126
- Total: 4,758
- BibTeX: 151
- EndNote: 163
Total article views: 4,212 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 Nov 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,647 | 1,446 | 119 | 4,212 | 144 | 158 |
- HTML: 2,647
- PDF: 1,446
- XML: 119
- Total: 4,212
- BibTeX: 144
- EndNote: 158
Total article views: 546 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Jul 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
322 | 217 | 7 | 546 | 7 | 5 |
- HTML: 322
- PDF: 217
- XML: 7
- Total: 546
- BibTeX: 7
- EndNote: 5
Viewed (geographical distribution)
Total article views: 4,758 (including HTML, PDF, and XML)
Thereof 4,435 with geography defined
and 323 with unknown origin.
Total article views: 4,212 (including HTML, PDF, and XML)
Thereof 3,906 with geography defined
and 306 with unknown origin.
Total article views: 546 (including HTML, PDF, and XML)
Thereof 529 with geography defined
and 17 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
94 citations as recorded by crossref.
- Implementation of an On-Line Reactive Source Apportionment (ORSA) Algorithm in the FARM Chemical-Transport Model and Application over Multiple Domains in Italy G. Calori et al. 10.3390/atmos15020191
- Global impacts of aviation on air quality evaluated at high resolution S. Eastham et al. 10.5194/acp-24-2687-2024
- Revisiting the contribution of land transport and shipping emissions to tropospheric ozone M. Mertens et al. 10.5194/acp-18-5567-2018
- A multi-method assessment of the regional sensitivities between flight altitude and short-term O3 climate warming from aircraft NO x emissions J. Maruhashi et al. 10.1088/1748-9326/ad376a
- The reward and penalty for ozone pollution control caused by natural sources and regional transport: A case study in Guangdong province R. Wang et al. 10.1016/j.scitotenv.2024.174984
- Comprehensive analyses of source sensitivities and apportionments of PM<sub>2.5</sub> and ozone over Japan via multiple numerical techniques S. Chatani et al. 10.5194/acp-20-10311-2020
- Source apportionment modelling of PM2.5 using CMAQ-ISAM over a tropical coastal-urban area Y. Kitagawa et al. 10.1016/j.apr.2021.101250
- Accurate prediction of air quality response to emissions for effective control policy design M. Cao et al. 10.1016/j.jes.2022.02.009
- The formation of secondary inorganic aerosols: A data-driven investigation of Lombardy's secondary inorganic aerosol problem F. Granella et al. 10.1016/j.atmosenv.2024.120480
- Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
- On the contribution of global aviation to the CO2 radiative forcing of climate O. Boucher et al. 10.1016/j.atmosenv.2021.118762
- Quantifying China's iron and steel industry's CO2 emissions and environmental health burdens: A pathway to sustainable transformation W. Wu et al. 10.1016/j.ese.2023.100367
- Effects of urban to regional emissions on the air pollution health burden in Europe D. Henze 10.1016/S2468-2667(23)00125-1
- Atmospheric reduced nitrogen: Sources, transformations, effects, and management C. Driscoll et al. 10.1080/10962247.2024.2342765
- Road transport impact on PM2.5 pollution over Delhi during the post-monsoon season C. Mogno et al. 10.1016/j.aeaoa.2022.100200
- Ozone source apportionment over the Yangtze River Delta region, China: Investigation of regional transport, sectoral contributions and seasonal differences L. Li et al. 10.1016/j.atmosenv.2019.01.028
- Attribution of ground-level ozone to anthropogenic and natural sources of nitrogen oxides and reactive carbon in a global chemical transport model T. Butler et al. 10.5194/acp-20-10707-2020
- Impact of IMO Sulfur Regulations on Air Quality in Busan, Republic of Korea Y. Kim et al. 10.3390/atmos13101631
- Seasonal Variation and Source Identification of PM10 in an Industrialized City P. Khobragade & A. Ahirwar 10.1002/masy.202100217
- Comparison of source apportionment approaches and analysis of non-linearity in a real case model application C. Belis et al. 10.5194/gmd-14-4731-2021
- Impact of present and future aircraft NOxand aerosol emissions on atmospheric composition and associated direct radiative forcing of climate E. Terrenoire et al. 10.5194/acp-22-11987-2022
- Source Contributions to Carbon Monoxide Concentrations During KORUS‐AQ Based on CAM‐chem Model Applications W. Tang et al. 10.1029/2018JD029151
- Attributing ozone and its precursors to land transport emissions in Europe and Germany M. Mertens et al. 10.5194/acp-20-7843-2020
- What Are the Sectors Contributing to the Exceedance of European Air Quality Standards over the Iberian Peninsula? A Source Contribution Analysis P. Jiménez-Guerrero 10.3390/su14052759
- Modeling the drivers of fine PM pollution over Central Europe: impacts and contributions of emissions from different sources L. Bartík et al. 10.5194/acp-24-4347-2024
- Modeling stratospheric intrusion and trans-Pacific transport on tropospheric ozone using hemispheric CMAQ during April 2010 – Part 2: Examination of emission impacts based on the higher-order decoupled direct method S. Itahashi et al. 10.5194/acp-20-3397-2020
- Comparative review of ambient air PM2.5 source apportioning studies in Tehran H. Khajehpour et al. 10.1007/s40201-023-00855-0
- Fires as a source of annual ambient PM2.5 exposure and chronic health impacts in Europe S. Chowdhury et al. 10.1016/j.scitotenv.2024.171314
- "Environmental, health and economic benefits of emission reduction in residential sector – A case study for Poland" M. Werner et al. 10.1016/j.apr.2024.102360
- Mapping nationwide concentrations of sulfate and nitrate in ambient PM2.5 in South Korea using machine learning with ground observation data S. Lee et al. 10.1016/j.scitotenv.2024.171884
- Changes in first- and second-order sensitivities of ozone concentration to its precursors over the Yangtze River Delta region of China due to COVID-19 lockdown: Insights from CMAQ-HDDM modeling study E. Yaluk et al. 10.1016/j.atmosenv.2023.119931
- The contribution of transport emissions to ozone mixing ratios and methane lifetime in 2015 and 2050 in the Shared Socioeconomic Pathways (SSPs) M. Mertens et al. 10.5194/acp-24-12079-2024
- Source Contributions to PM2.5-Related Mortality and Costs: Evidence for Emission Allocation and Compensation Strategies in China M. Liu et al. 10.1021/acs.est.2c08306
- An advanced method of contributing emissions to short-lived chemical species (OH and HO<sub>2</sub>): the TAGGING 1.1 submodel based on the Modular Earth Submodel System (MESSy 2.53) V. Rieger et al. 10.5194/gmd-11-2049-2018
- A comparative study to reveal the influence of typhoons on the transport, production and accumulation of O<sub>3</sub> in the Pearl River Delta, China K. Qu et al. 10.5194/acp-21-11593-2021
- Maritime sector contributions on NO2 surface concentrations in major ports of the Mediterranean Basin A. Pseftogkas et al. 10.1016/j.apr.2024.102228
- Effectiveness of emission control in sensitive emission regions associated with local atmospheric circulation in O3 pollution reduction: A case study in the Beijing-Tianjin-Hebei region J. Xu et al. 10.1016/j.atmosenv.2021.118840
- PM2.5 source allocation in European cities: A SHERPA modelling study P. Thunis et al. 10.1016/j.atmosenv.2018.05.062
- Seasonal PM Management: ( I ) What Emissions Should be Reduced? Y. Kang & S. Kim 10.5572/KOSAE.2022.38.5.746
- Unpacking the factors contributing to changes in PM2.5-associated mortality in China from 2013 to 2019 H. Zheng et al. 10.1016/j.envint.2024.108470
- How important are maritime emissions for the air quality: At European and national scale A. Monteiro et al. 10.1016/j.envpol.2018.07.011
- A global review of the state of the evidence of household air pollution's contribution to ambient fine particulate matter and their related health impacts S. Chowdhury et al. 10.1016/j.envint.2023.107835
- Review of Particulate Matter Management in United States B. Kim et al. 10.5572/KOSAE.2018.34.4.588
- Source contribution analysis of PM2.5 using Response Surface Model and Particulate Source Apportionment Technology over the PRD region, China Z. Li et al. 10.1016/j.scitotenv.2021.151757
- Why is the city's responsibility for its air pollution often underestimated? A focus on PM<sub>2.5</sub> P. Thunis et al. 10.5194/acp-21-18195-2021
- The contribution of aviation NOx emissions to climate change: are we ignoring methodological flaws? V. Grewe et al. 10.1088/1748-9326/ab5dd7
- Assessing the nonlinearity of wintertime PM2.5 formation in response to precursor emission changes in North China with the adjoint method N. Lu et al. 10.1088/1748-9326/ad60df
- Prescribed burn related increases of population exposure to PM2.5 and O3 pollution in the southeastern US over 2013–2020 K. Maji et al. 10.1016/j.envint.2024.109101
- Source apportionment to support air quality planning: Strengths and weaknesses of existing approaches P. Thunis et al. 10.1016/j.envint.2019.05.019
- Prediction of source contributions to urban background PM<sub>10</sub> concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0 – Part 1: The country contributions M. Pommier et al. 10.5194/gmd-13-1787-2020
- Advantages of Continuous Monitoring of Hourly PM2.5 Component Concentrations in Japan for Model Validation and Source Sensitivity Analyses S. Chatani et al. 10.5572/ajae.2021.008
- Estimating traffic contribution to particulate matter concentration in urban areas using a multilevel Bayesian meta-regression approach S. Heydari et al. 10.1016/j.envint.2020.105800
- Air Control Toolbox (ACT_v1.0): a flexible surrogate model to explore mitigation scenarios in air quality forecasts A. Colette et al. 10.5194/gmd-15-1441-2022
- Transport patterns of global aviation NOx and their short-term O3 radiative forcing – a machine learning approach J. Maruhashi et al. 10.5194/acp-22-14253-2022
- Development of the adjoint of the unified tropospheric–stratospheric chemistry extension (UCX) in GEOS-Chem adjoint v36 I. Dedoussi et al. 10.5194/gmd-17-5689-2024
- Population exposure to particulate-matter and related mortality due to the Portuguese wildfires in October 2017 driven by storm Ophelia S. Augusto et al. 10.1016/j.envint.2020.106056
- Source attribution of near-surface ozone trends in the United States during 1995–2019 P. Li et al. 10.5194/acp-23-5403-2023
- Impact of SOx, NOx and NH3 emission reductions on PM2.5 concentrations across Europe: Hints for future measure development A. Clappier et al. 10.1016/j.envint.2021.106699
- National and transboundary contributions to surface ozone concentration across European countries R. Garatachea et al. 10.1038/s43247-024-01716-w
- Seasonal PM Management: (II) How Low PM2.5 Concentration in South Korea can be Achieved? M. Bae et al. 10.5572/KOSAE.2023.39.1.9
- Rethinking the role of transport and photochemistry in regional ozone pollution: insights from ozone concentration and mass budgets K. Qu et al. 10.5194/acp-23-7653-2023
- Cross-regional transport of PM2.5 nitrate in the Pearl River Delta, China: Contributions and mechanisms K. Qu et al. 10.1016/j.scitotenv.2020.142439
- Source impact and contribution analysis of ambient ozone using multi-modeling approaches over the Pearl River Delta region, China T. Fang et al. 10.1016/j.envpol.2021.117860
- Source apportionment of particulate matter based on numerical simulation during a severe pollution period in Tangshan, North China J. He et al. 10.1016/j.envpol.2020.115133
- Air Quality Modeling Study on the Controlling Factors of Fine Particulate Matter (PM2.5) in Hanoi: A Case Study in December 2010 T. Nguyen et al. 10.3390/atmos11070733
- Local and transboundary transport contributions to the wintertime particulate pollution in the Guanzhong Basin (GZB), China: A case study X. Li et al. 10.1016/j.scitotenv.2021.148876
- Emission location affects impacts on atmosphere and climate from alternative fuels for Norwegian domestic aviation J. Klenner et al. 10.1016/j.aeaoa.2024.100301
- Evaluation of continuous emission reduction effect on PM2.5 pollution improvement through 2013–2018 in Beijing X. Wang et al. 10.1016/j.apr.2021.101055
- Ozone source apportionment during peak summer events over southwestern Europe M. Pay et al. 10.5194/acp-19-5467-2019
- Insights into soil NO emissions and the contribution to surface ozone formation in China L. Huang et al. 10.5194/acp-23-14919-2023
- Implications of Mitigating Ozone and Fine Particulate Matter Pollution in the Guangdong‐Hong Kong‐Macau Greater Bay Area of China Using a Regional‐To‐Local Coupling Model X. Zhang et al. 10.1029/2021GH000506
- Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States Y. Wang et al. 10.1016/j.atmosenv.2020.117470
- Overall Characteristics of Nationwide High PM2.5 Episodes during 2013~2016 Y. Ghim et al. 10.5572/KOSAE.2019.35.5.609
- Quantitative Evaluation on the Drivers of PM2.5 Concentration Change in South Korea during the 1st - 3rd Seasonal PM2.5 Management Periods M. Bae et al. 10.5572/KOSAE.2022.38.4.610
- Current and Future Disease Burden From Ambient Ozone Exposure in India L. Conibear et al. 10.1029/2018GH000168
- Source attribution of particulate matter in Berlin J. Pültz et al. 10.1016/j.atmosenv.2022.119416
- A review of surface ozone source apportionment in China H. LIU et al. 10.1080/16742834.2020.1768025
- Assessing the importance of nonlinearity for aircraft emissions' impact on O3 and PM2.5 C. Arter & S. Arunachalam 10.1016/j.scitotenv.2021.146121
- Urban air quality: What is the optimal place to reduce transport emissions? T. Li et al. 10.1016/j.atmosenv.2022.119432
- The effect of cross-regional transport on ozone and particulate matter pollution in China: A review of methodology and current knowledge K. Qu et al. 10.1016/j.scitotenv.2024.174196
- Real-time source contribution analysis of ambient ozone using an enhanced meta-modeling approach over the Pearl River Delta Region of China T. Fang et al. 10.1016/j.jenvman.2020.110650
- Prediction of source contributions to urban background PM<sub>10</sub> concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 – Part 2: The city contribution M. Pommier 10.5194/gmd-14-4143-2021
- TOAST 1.0: Tropospheric Ozone Attribution of Sources with Tagging for CESM 1.2.2 T. Butler et al. 10.5194/gmd-11-2825-2018
- Source apportionment of PM2.5 and the impact of future PM2.5 changes on human health in the monsoon-influenced humid subtropical climate T. Nguyen et al. 10.1016/j.apr.2023.101777
- 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
- Transition in source contributions of PM2.5 exposure and associated premature mortality in China during 2005–2015 H. Zheng et al. 10.1016/j.envint.2019.105111
- Bottom–Up Inventory of Residential Combustion Emissions in Poland for National Air Quality Modelling: Current Status and Perspectives L. Gawuc et al. 10.3390/atmos12111460
- Local fractions – a method for the calculation of local source contributions to air pollution, illustrated by examples using the EMEP MSC-W model (rv4_33) P. Wind et al. 10.5194/gmd-13-1623-2020
- Adjustment of Foreign Emission Impacts on Provincial PM2.5 Concentrations in South Korea based on Upwind Observations and Estimation of Domestic Emission Uncertainty M. Bae & S. Kim 10.5572/KOSAE.2022.38.4.624
- Source attribution of nitrogen oxides across Germany: Comparing the labelling approach and brute force technique with LOTOS-EUROS M. Thürkow et al. 10.1016/j.atmosenv.2022.119412
- Effects of vertical turbulent diffusivity on regional PM2.5 and O3 source contributions B. Kim et al. 10.1016/j.atmosenv.2020.118026
- Spatiotemporal source apportionment of ozone pollution over the Greater Bay Area Y. Chen et al. 10.5194/acp-24-8847-2024
- An improved framework for efficiently modeling organic aerosol (OA) considering primary OA evaporation and secondary OA formation from VOCs, IVOCs, and SVOCs L. Huang et al. 10.1039/D4EA00060A
- Are contributions of emissions to ozone a matter of scale? – a study using MECO(n) (MESSy v2.50) M. Mertens et al. 10.5194/gmd-13-363-2020
94 citations as recorded by crossref.
- Implementation of an On-Line Reactive Source Apportionment (ORSA) Algorithm in the FARM Chemical-Transport Model and Application over Multiple Domains in Italy G. Calori et al. 10.3390/atmos15020191
- Global impacts of aviation on air quality evaluated at high resolution S. Eastham et al. 10.5194/acp-24-2687-2024
- Revisiting the contribution of land transport and shipping emissions to tropospheric ozone M. Mertens et al. 10.5194/acp-18-5567-2018
- A multi-method assessment of the regional sensitivities between flight altitude and short-term O3 climate warming from aircraft NO x emissions J. Maruhashi et al. 10.1088/1748-9326/ad376a
- The reward and penalty for ozone pollution control caused by natural sources and regional transport: A case study in Guangdong province R. Wang et al. 10.1016/j.scitotenv.2024.174984
- Comprehensive analyses of source sensitivities and apportionments of PM<sub>2.5</sub> and ozone over Japan via multiple numerical techniques S. Chatani et al. 10.5194/acp-20-10311-2020
- Source apportionment modelling of PM2.5 using CMAQ-ISAM over a tropical coastal-urban area Y. Kitagawa et al. 10.1016/j.apr.2021.101250
- Accurate prediction of air quality response to emissions for effective control policy design M. Cao et al. 10.1016/j.jes.2022.02.009
- The formation of secondary inorganic aerosols: A data-driven investigation of Lombardy's secondary inorganic aerosol problem F. Granella et al. 10.1016/j.atmosenv.2024.120480
- Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
- On the contribution of global aviation to the CO2 radiative forcing of climate O. Boucher et al. 10.1016/j.atmosenv.2021.118762
- Quantifying China's iron and steel industry's CO2 emissions and environmental health burdens: A pathway to sustainable transformation W. Wu et al. 10.1016/j.ese.2023.100367
- Effects of urban to regional emissions on the air pollution health burden in Europe D. Henze 10.1016/S2468-2667(23)00125-1
- Atmospheric reduced nitrogen: Sources, transformations, effects, and management C. Driscoll et al. 10.1080/10962247.2024.2342765
- Road transport impact on PM2.5 pollution over Delhi during the post-monsoon season C. Mogno et al. 10.1016/j.aeaoa.2022.100200
- Ozone source apportionment over the Yangtze River Delta region, China: Investigation of regional transport, sectoral contributions and seasonal differences L. Li et al. 10.1016/j.atmosenv.2019.01.028
- Attribution of ground-level ozone to anthropogenic and natural sources of nitrogen oxides and reactive carbon in a global chemical transport model T. Butler et al. 10.5194/acp-20-10707-2020
- Impact of IMO Sulfur Regulations on Air Quality in Busan, Republic of Korea Y. Kim et al. 10.3390/atmos13101631
- Seasonal Variation and Source Identification of PM10 in an Industrialized City P. Khobragade & A. Ahirwar 10.1002/masy.202100217
- Comparison of source apportionment approaches and analysis of non-linearity in a real case model application C. Belis et al. 10.5194/gmd-14-4731-2021
- Impact of present and future aircraft NOxand aerosol emissions on atmospheric composition and associated direct radiative forcing of climate E. Terrenoire et al. 10.5194/acp-22-11987-2022
- Source Contributions to Carbon Monoxide Concentrations During KORUS‐AQ Based on CAM‐chem Model Applications W. Tang et al. 10.1029/2018JD029151
- Attributing ozone and its precursors to land transport emissions in Europe and Germany M. Mertens et al. 10.5194/acp-20-7843-2020
- What Are the Sectors Contributing to the Exceedance of European Air Quality Standards over the Iberian Peninsula? A Source Contribution Analysis P. Jiménez-Guerrero 10.3390/su14052759
- Modeling the drivers of fine PM pollution over Central Europe: impacts and contributions of emissions from different sources L. Bartík et al. 10.5194/acp-24-4347-2024
- Modeling stratospheric intrusion and trans-Pacific transport on tropospheric ozone using hemispheric CMAQ during April 2010 – Part 2: Examination of emission impacts based on the higher-order decoupled direct method S. Itahashi et al. 10.5194/acp-20-3397-2020
- Comparative review of ambient air PM2.5 source apportioning studies in Tehran H. Khajehpour et al. 10.1007/s40201-023-00855-0
- Fires as a source of annual ambient PM2.5 exposure and chronic health impacts in Europe S. Chowdhury et al. 10.1016/j.scitotenv.2024.171314
- "Environmental, health and economic benefits of emission reduction in residential sector – A case study for Poland" M. Werner et al. 10.1016/j.apr.2024.102360
- Mapping nationwide concentrations of sulfate and nitrate in ambient PM2.5 in South Korea using machine learning with ground observation data S. Lee et al. 10.1016/j.scitotenv.2024.171884
- Changes in first- and second-order sensitivities of ozone concentration to its precursors over the Yangtze River Delta region of China due to COVID-19 lockdown: Insights from CMAQ-HDDM modeling study E. Yaluk et al. 10.1016/j.atmosenv.2023.119931
- The contribution of transport emissions to ozone mixing ratios and methane lifetime in 2015 and 2050 in the Shared Socioeconomic Pathways (SSPs) M. Mertens et al. 10.5194/acp-24-12079-2024
- Source Contributions to PM2.5-Related Mortality and Costs: Evidence for Emission Allocation and Compensation Strategies in China M. Liu et al. 10.1021/acs.est.2c08306
- An advanced method of contributing emissions to short-lived chemical species (OH and HO<sub>2</sub>): the TAGGING 1.1 submodel based on the Modular Earth Submodel System (MESSy 2.53) V. Rieger et al. 10.5194/gmd-11-2049-2018
- A comparative study to reveal the influence of typhoons on the transport, production and accumulation of O<sub>3</sub> in the Pearl River Delta, China K. Qu et al. 10.5194/acp-21-11593-2021
- Maritime sector contributions on NO2 surface concentrations in major ports of the Mediterranean Basin A. Pseftogkas et al. 10.1016/j.apr.2024.102228
- Effectiveness of emission control in sensitive emission regions associated with local atmospheric circulation in O3 pollution reduction: A case study in the Beijing-Tianjin-Hebei region J. Xu et al. 10.1016/j.atmosenv.2021.118840
- PM2.5 source allocation in European cities: A SHERPA modelling study P. Thunis et al. 10.1016/j.atmosenv.2018.05.062
- Seasonal PM Management: ( I ) What Emissions Should be Reduced? Y. Kang & S. Kim 10.5572/KOSAE.2022.38.5.746
- Unpacking the factors contributing to changes in PM2.5-associated mortality in China from 2013 to 2019 H. Zheng et al. 10.1016/j.envint.2024.108470
- How important are maritime emissions for the air quality: At European and national scale A. Monteiro et al. 10.1016/j.envpol.2018.07.011
- A global review of the state of the evidence of household air pollution's contribution to ambient fine particulate matter and their related health impacts S. Chowdhury et al. 10.1016/j.envint.2023.107835
- Review of Particulate Matter Management in United States B. Kim et al. 10.5572/KOSAE.2018.34.4.588
- Source contribution analysis of PM2.5 using Response Surface Model and Particulate Source Apportionment Technology over the PRD region, China Z. Li et al. 10.1016/j.scitotenv.2021.151757
- Why is the city's responsibility for its air pollution often underestimated? A focus on PM<sub>2.5</sub> P. Thunis et al. 10.5194/acp-21-18195-2021
- The contribution of aviation NOx emissions to climate change: are we ignoring methodological flaws? V. Grewe et al. 10.1088/1748-9326/ab5dd7
- Assessing the nonlinearity of wintertime PM2.5 formation in response to precursor emission changes in North China with the adjoint method N. Lu et al. 10.1088/1748-9326/ad60df
- Prescribed burn related increases of population exposure to PM2.5 and O3 pollution in the southeastern US over 2013–2020 K. Maji et al. 10.1016/j.envint.2024.109101
- Source apportionment to support air quality planning: Strengths and weaknesses of existing approaches P. Thunis et al. 10.1016/j.envint.2019.05.019
- Prediction of source contributions to urban background PM<sub>10</sub> concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0 – Part 1: The country contributions M. Pommier et al. 10.5194/gmd-13-1787-2020
- Advantages of Continuous Monitoring of Hourly PM2.5 Component Concentrations in Japan for Model Validation and Source Sensitivity Analyses S. Chatani et al. 10.5572/ajae.2021.008
- Estimating traffic contribution to particulate matter concentration in urban areas using a multilevel Bayesian meta-regression approach S. Heydari et al. 10.1016/j.envint.2020.105800
- Air Control Toolbox (ACT_v1.0): a flexible surrogate model to explore mitigation scenarios in air quality forecasts A. Colette et al. 10.5194/gmd-15-1441-2022
- Transport patterns of global aviation NOx and their short-term O3 radiative forcing – a machine learning approach J. Maruhashi et al. 10.5194/acp-22-14253-2022
- Development of the adjoint of the unified tropospheric–stratospheric chemistry extension (UCX) in GEOS-Chem adjoint v36 I. Dedoussi et al. 10.5194/gmd-17-5689-2024
- Population exposure to particulate-matter and related mortality due to the Portuguese wildfires in October 2017 driven by storm Ophelia S. Augusto et al. 10.1016/j.envint.2020.106056
- Source attribution of near-surface ozone trends in the United States during 1995–2019 P. Li et al. 10.5194/acp-23-5403-2023
- Impact of SOx, NOx and NH3 emission reductions on PM2.5 concentrations across Europe: Hints for future measure development A. Clappier et al. 10.1016/j.envint.2021.106699
- National and transboundary contributions to surface ozone concentration across European countries R. Garatachea et al. 10.1038/s43247-024-01716-w
- Seasonal PM Management: (II) How Low PM2.5 Concentration in South Korea can be Achieved? M. Bae et al. 10.5572/KOSAE.2023.39.1.9
- Rethinking the role of transport and photochemistry in regional ozone pollution: insights from ozone concentration and mass budgets K. Qu et al. 10.5194/acp-23-7653-2023
- Cross-regional transport of PM2.5 nitrate in the Pearl River Delta, China: Contributions and mechanisms K. Qu et al. 10.1016/j.scitotenv.2020.142439
- Source impact and contribution analysis of ambient ozone using multi-modeling approaches over the Pearl River Delta region, China T. Fang et al. 10.1016/j.envpol.2021.117860
- Source apportionment of particulate matter based on numerical simulation during a severe pollution period in Tangshan, North China J. He et al. 10.1016/j.envpol.2020.115133
- Air Quality Modeling Study on the Controlling Factors of Fine Particulate Matter (PM2.5) in Hanoi: A Case Study in December 2010 T. Nguyen et al. 10.3390/atmos11070733
- Local and transboundary transport contributions to the wintertime particulate pollution in the Guanzhong Basin (GZB), China: A case study X. Li et al. 10.1016/j.scitotenv.2021.148876
- Emission location affects impacts on atmosphere and climate from alternative fuels for Norwegian domestic aviation J. Klenner et al. 10.1016/j.aeaoa.2024.100301
- Evaluation of continuous emission reduction effect on PM2.5 pollution improvement through 2013–2018 in Beijing X. Wang et al. 10.1016/j.apr.2021.101055
- Ozone source apportionment during peak summer events over southwestern Europe M. Pay et al. 10.5194/acp-19-5467-2019
- Insights into soil NO emissions and the contribution to surface ozone formation in China L. Huang et al. 10.5194/acp-23-14919-2023
- Implications of Mitigating Ozone and Fine Particulate Matter Pollution in the Guangdong‐Hong Kong‐Macau Greater Bay Area of China Using a Regional‐To‐Local Coupling Model X. Zhang et al. 10.1029/2021GH000506
- Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States Y. Wang et al. 10.1016/j.atmosenv.2020.117470
- Overall Characteristics of Nationwide High PM2.5 Episodes during 2013~2016 Y. Ghim et al. 10.5572/KOSAE.2019.35.5.609
- Quantitative Evaluation on the Drivers of PM2.5 Concentration Change in South Korea during the 1st - 3rd Seasonal PM2.5 Management Periods M. Bae et al. 10.5572/KOSAE.2022.38.4.610
- Current and Future Disease Burden From Ambient Ozone Exposure in India L. Conibear et al. 10.1029/2018GH000168
- Source attribution of particulate matter in Berlin J. Pültz et al. 10.1016/j.atmosenv.2022.119416
- A review of surface ozone source apportionment in China H. LIU et al. 10.1080/16742834.2020.1768025
- Assessing the importance of nonlinearity for aircraft emissions' impact on O3 and PM2.5 C. Arter & S. Arunachalam 10.1016/j.scitotenv.2021.146121
- Urban air quality: What is the optimal place to reduce transport emissions? T. Li et al. 10.1016/j.atmosenv.2022.119432
- The effect of cross-regional transport on ozone and particulate matter pollution in China: A review of methodology and current knowledge K. Qu et al. 10.1016/j.scitotenv.2024.174196
- Real-time source contribution analysis of ambient ozone using an enhanced meta-modeling approach over the Pearl River Delta Region of China T. Fang et al. 10.1016/j.jenvman.2020.110650
- Prediction of source contributions to urban background PM<sub>10</sub> concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 – Part 2: The city contribution M. Pommier 10.5194/gmd-14-4143-2021
- TOAST 1.0: Tropospheric Ozone Attribution of Sources with Tagging for CESM 1.2.2 T. Butler et al. 10.5194/gmd-11-2825-2018
- Source apportionment of PM2.5 and the impact of future PM2.5 changes on human health in the monsoon-influenced humid subtropical climate T. Nguyen et al. 10.1016/j.apr.2023.101777
- 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
- Transition in source contributions of PM2.5 exposure and associated premature mortality in China during 2005–2015 H. Zheng et al. 10.1016/j.envint.2019.105111
- Bottom–Up Inventory of Residential Combustion Emissions in Poland for National Air Quality Modelling: Current Status and Perspectives L. Gawuc et al. 10.3390/atmos12111460
- Local fractions – a method for the calculation of local source contributions to air pollution, illustrated by examples using the EMEP MSC-W model (rv4_33) P. Wind et al. 10.5194/gmd-13-1623-2020
- Adjustment of Foreign Emission Impacts on Provincial PM2.5 Concentrations in South Korea based on Upwind Observations and Estimation of Domestic Emission Uncertainty M. Bae & S. Kim 10.5572/KOSAE.2022.38.4.624
- Source attribution of nitrogen oxides across Germany: Comparing the labelling approach and brute force technique with LOTOS-EUROS M. Thürkow et al. 10.1016/j.atmosenv.2022.119412
- Effects of vertical turbulent diffusivity on regional PM2.5 and O3 source contributions B. Kim et al. 10.1016/j.atmosenv.2020.118026
- Spatiotemporal source apportionment of ozone pollution over the Greater Bay Area Y. Chen et al. 10.5194/acp-24-8847-2024
- An improved framework for efficiently modeling organic aerosol (OA) considering primary OA evaporation and secondary OA formation from VOCs, IVOCs, and SVOCs L. Huang et al. 10.1039/D4EA00060A
- Are contributions of emissions to ozone a matter of scale? – a study using MECO(n) (MESSy v2.50) M. Mertens et al. 10.5194/gmd-13-363-2020
Latest update: 14 Dec 2024
Short summary
This work demonstrates that when the relationship between emissions and concentrations is nonlinear, sensitivity approaches, generally used for air quality planning, are not suitable to retrieve source contributions and source apportionment methods are not appropriate to evaluate the impact of abatement strategies on air quality. A simple theoretical example is used highlighting differences and potential implications for policy.
This work demonstrates that when the relationship between emissions and concentrations is...