97 citations as recorded by crossref.

1. 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
2. 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
3. Accurate prediction of air quality response to emissions for effective control policy design M. Cao et al. 10.1016/j.jes.2022.02.009
4. Atmospheric reduced nitrogen: Sources, transformations, effects, and management C. Driscoll et al. 10.1080/10962247.2024.2342765
5. 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
6. 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
7. Seasonal Variation and Source Identification of PM10 in an Industrialized City P. Khobragade & A. Ahirwar 10.1002/masy.202100217
8. Impact of present and future aircraft NOx and aerosol emissions on atmospheric composition and associated direct radiative forcing of climate E. Terrenoire et al. 10.5194/acp-22-11987-2022
9. 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
10. 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
11. 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
12. 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
13. 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
14. An advanced method of contributing emissions to short-lived chemical species (OH and HO2): 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
15. A comparative study to reveal the influence of typhoons on the transport, production and accumulation of O3 in the Pearl River Delta, China K. Qu et al. 10.5194/acp-21-11593-2021
16. 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
17. 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
18. Review of Particulate Matter Management in United States B. Kim et al. 10.5572/KOSAE.2018.34.4.588
19. Ozone source attribution in polluted European areas during summer 2017 as simulated with MECO(n) M. Kilian et al. 10.5194/acp-24-13503-2024
20. Why is the city's responsibility for its air pollution often underestimated? A focus on PM2.5 P. Thunis et al. 10.5194/acp-21-18195-2021
21. 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
22. Source apportionment to support air quality planning: Strengths and weaknesses of existing approaches P. Thunis et al. 10.1016/j.envint.2019.05.019
23. 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
24. 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
25. 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
26. 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
27. 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
28. 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
29. 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
30. Ozone source apportionment during peak summer events over southwestern Europe M. Pay et al. 10.5194/acp-19-5467-2019
31. 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
32. Overall Characteristics of Nationwide High PM2.5 Episodes during 2013~2016 Y. Ghim et al. 10.5572/KOSAE.2019.35.5.609
33. 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
34. Current and Future Disease Burden From Ambient Ozone Exposure in India L. Conibear et al. 10.1029/2018GH000168
35. Source attribution of particulate matter in Berlin J. Pültz et al. 10.1016/j.atmosenv.2022.119416
36. Assessing the importance of nonlinearity for aircraft emissions' impact on O3 and PM2.5 C. Arter & S. Arunachalam 10.1016/j.scitotenv.2021.146121
37. Urban air quality: What is the optimal place to reduce transport emissions? T. Li et al. 10.1016/j.atmosenv.2022.119432
38. 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
39. 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
40. 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
41. 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
42. 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
43. Effects of vertical turbulent diffusivity on regional PM2.5 and O3 source contributions B. Kim et al. 10.1016/j.atmosenv.2020.118026
44. Spatiotemporal source apportionment of ozone pollution over the Greater Bay Area Y. Chen et al. 10.5194/acp-24-8847-2024
45. Global impacts of aviation on air quality evaluated at high resolution S. Eastham et al. 10.5194/acp-24-2687-2024
46. Revisiting the contribution of land transport and shipping emissions to tropospheric ozone M. Mertens et al. 10.5194/acp-18-5567-2018
47. 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
48. 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
49. Comprehensive analyses of source sensitivities and apportionments of PM2.5 and ozone over Japan via multiple numerical techniques S. Chatani et al. 10.5194/acp-20-10311-2020
50. 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
51. Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
52. On the contribution of global aviation to the CO2 radiative forcing of climate O. Boucher et al. 10.1016/j.atmosenv.2021.118762
53. 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
54. Effects of urban to regional emissions on the air pollution health burden in Europe D. Henze 10.1016/S2468-2667(23)00125-1
55. Road transport impact on PM2.5 pollution over Delhi during the post-monsoon season C. Mogno et al. 10.1016/j.aeaoa.2022.100200
56. Impact of IMO Sulfur Regulations on Air Quality in Busan, Republic of Korea Y. Kim et al. 10.3390/atmos13101631
57. 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
58. Source Contributions to Carbon Monoxide Concentrations During KORUS‐AQ Based on CAM‐chem Model Applications W. Tang et al. 10.1029/2018JD029151
59. Attributing ozone and its precursors to land transport emissions in Europe and Germany M. Mertens et al. 10.5194/acp-20-7843-2020
60. 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
61. Comparative review of ambient air PM2.5 source apportioning studies in Tehran H. Khajehpour et al. 10.1007/s40201-023-00855-0
62. "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
63. 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
64. 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
65. Maritime sector contributions on NO2 surface concentrations in major ports of the Mediterranean Basin A. Pseftogkas et al. 10.1016/j.apr.2024.102228
66. PM2.5 source allocation in European cities: A SHERPA modelling study P. Thunis et al. 10.1016/j.atmosenv.2018.05.062
67. Seasonal PM Management: ( I ) What Emissions Should be Reduced? Y. Kang & S. Kim 10.5572/KOSAE.2022.38.5.746
68. 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
69. 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
70. 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
71. The contribution of aviation NOx emissions to climate change: are we ignoring methodological flaws? V. Grewe et al. 10.1088/1748-9326/ab5dd7
72. 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
73. Prediction of source contributions to urban background PM10 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
74. 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
75. Nitrogen Dioxide Source Attribution for Urban and Regional Background Locations Across Germany J. Pültz et al. 10.3390/atmos16030312
76. 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
77. 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
78. Source attribution of near-surface ozone trends in the United States during 1995–2019 P. Li et al. 10.5194/acp-23-5403-2023
79. 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
80. National and transboundary contributions to surface ozone concentration across European countries R. Garatachea et al. 10.1038/s43247-024-01716-w
81. 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
82. 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
83. 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
84. 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
85. Health burdens related to emission sources and cross-provincial air pollution in China W. Hu et al. 10.1038/s41612-024-00869-x
86. 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
87. Insights into soil NO emissions and the contribution to surface ozone formation in China L. Huang et al. 10.5194/acp-23-14919-2023
88. Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States Y. Wang et al. 10.1016/j.atmosenv.2020.117470
89. A review of surface ozone source apportionment in China H. LIU et al. 10.1080/16742834.2020.1768025
90. 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
91. 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
92. Prediction of source contributions to urban background PM10 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
93. 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
94. 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
95. 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
96. 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
97. 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