69 citations as recorded by crossref.

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4. A methodological framework for estimating ambient PM2.5 particulate matter concentrations in the UK D. Galán-Madruga et al. 10.1016/j.jes.2023.11.019
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7. Digital Tools for Quantifying the Natural Capital Benefits of Agroforestry: A Review S. Stewart et al. 10.3390/land11101668
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12. The EMEP Intensive Measurement Period campaign, 2008–2009: characterizing carbonaceous aerosol at nine rural sites in Europe K. Yttri et al. 10.5194/acp-19-4211-2019
13. Ozone pollution contributes to the yield gap for beans in Uganda, East Africa, and is co-located with other agricultural stresses K. Sharps et al. 10.1038/s41598-024-58144-1
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17. Evaluation of isoprene light response curves for bryophyte-dominated ecosystems and implications for atmospheric composition B. Langford et al. 10.1088/2752-664X/aca2ad
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21. Applying air pollution modelling within a multi-criteria decision analysis framework to evaluate UK air quality policies Z. Chalabi et al. 10.1016/j.atmosenv.2017.08.057
22. Dynamic Complex Network Analysis of PM2.5 Concentrations in the UK, Using Hierarchical Directed Graphs (V1.0.0) P. Broomandi et al. 10.3390/su13042201
23. Modelling the Impact of National vs. Local Emission Reduction on PM2.5 in the West Midlands, UK Using WRF-CMAQ A. Mazzeo et al. 10.3390/atmos13030377
24. Using random forest to improve EMEP4PL model estimates of daily PM2.5 in Poland T. Vovk et al. 10.1016/j.atmosenv.2024.120615
25. Impact of Legislated and Best Available Emission Control Measures on UK Particulate Matter Pollution, Premature Mortality, and Nitrogen‐Sensitive Habitats E. Marais et al. 10.1029/2023GH000910
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27. Validation of ammonia diffusive and pumped samplers in a controlled atmosphere test facility using traceable Primary Standard Gas Mixtures N. Martin et al. 10.1016/j.atmosenv.2018.11.038
28. Life Course Air Pollution Exposure and Cognitive Decline: Modelled Historical Air Pollution Data and the Lothian Birth Cohort 1936 T. Russ et al. 10.3233/JAD-200910
29. Spatio-Temporal Patterns of Global Population Exposure Risk of PM2.5 from 2000–2016 C. Zhao et al. 10.3390/su13137427
30. UK Ammonia Emissions Estimated With Satellite Observations and GEOS‐Chem E. Marais et al. 10.1029/2021JD035237
31. Evaluation of mitigation measures for air quality in Italy in 2020 and 2030 I. D'Elia et al. 10.1016/j.apr.2018.03.002
32. Waste heat mapping: A UK study M. Albert et al. 10.1016/j.rser.2022.112230
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34. Potential and limitation of air pollution mitigation by vegetation and uncertainties of deposition-based evaluations E. Nemitz et al. 10.1098/rsta.2019.0320
35. Life-course exposure to air pollution and biological ageing in the Lothian Birth Cohort 1936 G. Baranyi et al. 10.1016/j.envint.2022.107501
36. Integrated Assessment Modelling of Future Air Quality in the UK to 2050 and Synergies with Net-Zero Strategies H. ApSimon et al. 10.3390/atmos14030525
37. Nitrogen and sulfur deposition over a region in SW Europe based on a regional atmospheric chemical transport model M. Oliveira et al. 10.1016/j.atmosenv.2020.117290
38. Global sensitivity and uncertainty analysis of an atmospheric chemistry transport model: the FRAME model (version 9.15.0) as a case study K. Aleksankina et al. 10.5194/gmd-11-1653-2018
39. Urban natural capital accounts: developing a novel approach to quantify air pollution removal by vegetation L. Jones et al. 10.1080/21606544.2019.1597772
40. Can the UK meet the World Health Organization PM2.5 interim target of 10 μg m−3 by 2030? D. Dajnak et al. 10.1016/j.envint.2023.108222
41. A Multi-model Air Quality System for Health Research: Road model development and evaluation M. Seaton et al. 10.1016/j.envsoft.2022.105455
42. Cost-efficient strategy for reducing PM 2.5 levels in the Tokyo metropolitan area: An integrated approach with air quality and economic models Y. Kunugi et al. 10.1371/journal.pone.0207623
43. VOC emission rates over London and South East England obtained by airborne eddy covariance A. Vaughan et al. 10.1039/C7FD00002B
44. Global sensitivities of reactive N and S gas and particle concentrations and deposition to precursor emissions reductions Y. Ge et al. 10.5194/acp-23-6083-2023
45. Improving Below‐Cloud Scavenging Coefficients of Sulfate, Nitrate, and Ammonium in PM2.5 and Implications for Numerical Simulation and Air Pollution Control L. Yao et al. 10.1029/2023JD039487
46. Pan-European rural monitoring network shows dominance of NH<sub>3</sub> gas and NH<sub>4</sub>NO<sub>3</sub> aerosol in inorganic atmospheric pollution load Y. Tang et al. 10.5194/acp-21-875-2021
47. Impacts of the 2014–2015 Holuhraun eruption on the UK atmosphere M. Twigg et al. 10.5194/acp-16-11415-2016
48. The influence of residential and workday population mobility on exposure to air pollution in the UK S. Reis et al. 10.1016/j.envint.2018.10.005
49. Diagnosing domestic and transboundary sources of fine particulate matter (PM2.5) in UK cities using GEOS-Chem J. Kelly et al. 10.1016/j.cacint.2023.100100
50. The effect of workplace mobility on air pollution exposure inequality—a case study in the Central Belt of Scotland T. Liška et al. 10.1088/2752-5309/ad3840
51. Modeling approach for emissions reduction of primary PM 2.5 and secondary PM 2.5 precursors to achieve the air quality target T. Chen et al. 10.1016/j.atmosres.2017.03.018
52. Reduced-form and complex ACTM modelling for air quality policy development: A model inter-comparison T. Oxley et al. 10.1016/j.envint.2022.107676
53. Cost-effective reductions of PM2.5 concentrations and exposure in Italy A. Ciucci et al. 10.1016/j.atmosenv.2016.05.049
54. Non-exhaust vehicle emissions of particulate matter and VOC from road traffic: A review R. Harrison et al. 10.1016/j.atmosenv.2021.118592
55. Review of methods for assessing deposition of reactive nitrogen pollutants across complex terrain with focus on the UK N. Cowan et al. 10.1039/D2EA00012A
56. Improving nitrogen cycling in a land surface model (CLM5) to quantify soil N2O, NO, and NH3 emissions from enhanced rock weathering with croplands M. Val Martin et al. 10.5194/gmd-16-5783-2023
57. Intercomparison of in situ measurements of ambient NH3: instrument performance and application under field conditions M. Twigg et al. 10.5194/amt-15-6755-2022
58. Early life PM2.5 exposure, childhood cognitive ability and mortality between age 11 and 86: A record-linkage life-course study from Scotland G. Baranyi et al. 10.1016/j.envres.2023.117021
59. Air quality simulations for London using a coupled regional-to-local modelling system C. Hood et al. 10.5194/acp-18-11221-2018
60. Estimating Health Impacts Due to the Reduction of Particulate Air Pollution from the Household Sector Expected under Various Scenarios Ł. Adamkiewicz et al. 10.3390/app11010272
61. Quantifying the impact of ozone on crops in Sub-Saharan Africa demonstrates regional and local hotspots of production loss K. Sharps et al. 10.1007/s11356-021-14967-3
62. Investigating the Effect of Fine Particulate Matter (PM2.5) Emission Reduction on Surface-Level Ozone (O3) during Summer across the UK L. Curley et al. 10.3390/atmos15060733
63. Long-term trends in air quality in major cities in the UK and India: a view from space K. Vohra et al. 10.5194/acp-21-6275-2021
64. An adaptable integrated modelling platform to support rapidly evolving agricultural and environmental policy P. Harrison et al. 10.1016/j.envsoft.2023.105821
65. Simulating impacts on UK air quality from net-zero forest planting scenarios G. Purser et al. 10.5194/acp-23-13713-2023
66. Modelling assessment of how small-scale vertical movements of infectious sea lice larvae can affect their large-scale distribution in fjordic systems S. Garnier et al. 10.1016/j.ecolmodel.2023.110587
67. Reduced-Form and Complex Actm Modelling for Air Quality Policy Development: A Model Inter-Comparison T. Oxley et al. 10.2139/ssrn.4158187
68. Characterization of haze episodes and factors contributing to their formation using a panel model X. Zhang et al. 10.1016/j.chemosphere.2016.01.090
69. PM2.5 pollution is substantially affected by ammonia emissions in China Y. Wu et al. 10.1016/j.envpol.2016.08.027