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
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- 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
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- 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
- 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: 20 Nov 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...