85 citations as recorded by crossref.

1. Climate-forced air-quality modeling at the urban scale: sensitivity to model resolution, emissions and meteorology K. Markakis et al. 10.5194/acp-15-7703-2015
2. Heterogeneity of influential factors across the entire air quality spectrum in Chinese cities: A spatial quantile regression analysis X. Han et al. 10.1016/j.envpol.2020.114259
3. The spatially heterogeneous response of aerosol properties to anthropogenic activities and meteorology changes in China during 1980–2018 based on the singular value decomposition method S. Ding et al. 10.1016/j.scitotenv.2020.138135
4. Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism Z. Chen et al. 10.1016/j.envint.2020.105558
5. Directional spatial spillover effects and driving factors of haze pollution in North China Plain H. Zhou et al. 10.1016/j.resconrec.2021.105475
6. Spatiotemporal estimates of daily PM2.5 concentrations based on 1-km resolution MAIAC AOD in the Beijing–Tianjin–Hebei, China X. Yang et al. 10.1016/j.envc.2022.100548
7. Implications of East Asian summer and winter monsoons for interannual aerosol variations over central-eastern China X. Cheng et al. 10.1016/j.atmosenv.2016.01.037
8. Comparative Performance of the LUR, ANN, and BME Techniques in the Multiscale Spatiotemporal Mapping of PM2.5 Concentrations in North China J. He et al. 10.1109/JSTARS.2019.2913380
9. The Effect of Urban Agglomeration Expansion on PM2.5 Concentrations: Evidence from a Quasi-natural Experiment S. Li & L. Wu 10.1007/s11769-023-1342-4
10. Exploring the effect of urban traffic development on PM2.5 pollution in emerging economies: fresh evidence from China Y. Liu & F. Dong 10.1007/s11356-021-14366-8
11. Study on spatiotemporal characteristics and influencing factors of pedestrian-level PM2.5 concentrations in outdoor open spaces of Harbin in winter, using a generalized additive model (GAM) D. Han et al. 10.1016/j.uclim.2022.101313
12. Characteristics of PM2.5 spatial distribution and influencing meteorological conditions in Sichuan Basin, southwestern China Y. Liu et al. 10.1016/j.atmosenv.2021.118364
13. In-depth characterization of submicron particulate matter inter-annual variations at a street canyon site in northern Europe L. Barreira et al. 10.5194/acp-21-6297-2021
14. Quantify the role of anthropogenic emission and meteorology on air pollution using machine learning approach: A case study of PM2.5 during the COVID-19 outbreak in Hubei Province, China H. Liu et al. 10.1016/j.envpol.2022.118932
15. Impact of seasonal biometeorological conditions and particulate matter on asthma and COPD hospital admissions A. Romaszko-Wojtowicz et al. 10.1038/s41598-024-84739-9
16. Critical contribution of moisture to the air quality deterioration in a warm and humid weather W. Choi et al. 10.1038/s41598-023-31316-1
17. A Descriptive Qualitative Study of Older Persons and Family Experiences with Extreme Weather Conditions in Northern Thailand P. Junlapeeya et al. 10.3390/ijerph20126167
18. Responses of PM2.5 and O3 concentrations to changes of meteorology and emissions in China P. Wang et al. 10.1016/j.scitotenv.2019.01.227
19. Assessing on-road emission inventory and compatible control measures for morning rush hour in Rasht, Iran: 2030 perspective M. Estalki & A. Orkomi 10.1007/s13762-024-05483-1
20. Comparing the impact of strong and weak East Asian winter monsoon on PM2.5 concentration in Beijing C. Wang et al. 10.1016/j.atmosres.2018.08.022
21. A Case Study of Air Quality and a Health Index over a Port, an Urban and a High-Traffic Location in Rhodes City I. Logothetis et al. 10.3390/air1020011
22. The Correlation Between COVID-19 Activities and Climate Factors in Different Climate Types Areas Z. Liu et al. 10.1097/JOM.0000000000002274
23. Analysis of the impact of multiscale green landscape on urban PM2.5 W. Chen et al. 10.1007/s11869-022-01153-8
24. Impacts of natural emission sources on particle pollution levels in Europe N. Liora et al. 10.1016/j.atmosenv.2016.04.040
25. Effect of natural and anthropic factors on the spatiotemporal pattern of haze pollution control of China X. Zhang et al. 10.1016/j.jclepro.2019.119531
26. Mechanism for synoptic and intra-seasonal oscillation of visibility in Beijing-Tianjin-Hebei region X. Li et al. 10.1007/s00704-020-03466-z
27. Elevated 3D structures of PM2.5 and impact of complex terrain-forcing circulations on heavy haze pollution over Sichuan Basin, China Z. Shu et al. 10.5194/acp-21-9253-2021
28. Using statistical models to explore ensemble uncertainty in climate impact studies: the example of air pollution in Europe V. Lemaire et al. 10.5194/acp-16-2559-2016
29. PM2.5 Pollution in China and How It Has Been Exacerbated by Terrain and Meteorological Conditions X. Wang et al. 10.1175/BAMS-D-16-0301.1
30. Research on Influential Factors of PM2.5 within the Beijing-Tianjin-Hebei Region in China J. Li et al. 10.1155/2018/6375391
31. Multi-Scale Effects of Meteorological Conditions and Anthropogenic Emissions on PM2.5 Concentrations over Major Cities of the Yellow River Basin J. Zhang et al. 10.3390/ijerph192215060
32. Clustering and Regression-Based Analysis of PM2.5 Sensitivity to Meteorology in Cincinnati, Ohio M. Roy et al. 10.3390/atmos13040545
33. Variations of PM2.5 sources in the context of meteorology and seasonality at an urban street canyon in Southwest Germany J. Song et al. 10.1016/j.atmosenv.2022.119147
34. Meteorology-driven variability of air pollution (PM1) revealed with explainable machine learning R. Stirnberg et al. 10.5194/acp-21-3919-2021
35. Impact analysis of meteorological variables on PM2.5 pollution in the most polluted cities in China J. Wang et al. 10.1016/j.heliyon.2023.e17609
36. Short-term air quality forecasting model based on hybrid RF-IACA-BPNN algorithm D. Qiao et al. 10.1007/s11356-021-18355-9
37. Temporal heterogeneity in the performance of machine learning models for PM2.5 concentration estimation P. Li et al. 10.1016/j.psep.2024.06.115
38. Reviewing the links and feedbacks between climate change and air pollution in Europe U. Im et al. 10.3389/fenvs.2022.954045
39. Future climatic drivers and their effect on PM10 components in Europe and the Mediterranean Sea A. Cholakian et al. 10.5194/acp-19-4459-2019
40. PM2.5 Concentration Prediction Based on LightGBM Optimized by Adaptive Multi-Strategy Enhanced Sparrow Search Algorithm X. Liu et al. 10.3390/atmos14111612
41. Analysis of the driving factors of PM2.5 concentration in the air: A case study of the Yangtze River Delta, China G. Xu et al. 10.1016/j.ecolind.2019.105889
42. Analyzing the spatio-temporal variation of the CO2 emissions from district heating systems with “Coal-to-Gas” transition: Evidence from GTWR model and satellite data in China W. Zhang et al. 10.1016/j.scitotenv.2021.150083
43. The impact of monthly variation of the Pacific–North America (PNA) teleconnection pattern on wintertime surface-layer aerosol concentrations in the United States J. Feng et al. 10.5194/acp-16-4927-2016
44. Modelling variations of emergency attendances using data on community mobility, climate and air pollution D. Weismann et al. 10.1038/s41598-023-47857-4
45. Optical and radiative properties of aerosols over Abu Dhabi in the United Arab Emirates S. Beegum et al. 10.1007/s12040-016-0759-x
46. Effects of Meteorological Factors and Anthropogenic Precursors on PM2.5 Concentrations in Cities in China Z. Jing et al. 10.3390/su12093550
47. New Insights on the Formation of Nucleation Mode Particles in a Coastal City Based on a Machine Learning Approach C. Yang et al. 10.1021/acs.est.3c07042
48. Influence of weather and air pollution on concentration change of PM2.5 using a generalized additive model and gradient boosting machine B. Cheng et al. 10.1016/j.atmosenv.2021.118437
49. Hotter days, dirtier air: The impact of extreme heat on energy and pollution intensity in China L. Jiang et al. 10.1016/j.eneco.2023.107291
50. A comparison of meteorological normalization of PM2.5 by multiple linear regression, general additive model, and random forest methods L. Qi et al. 10.1016/j.atmosenv.2024.120854
51. Mechanism of Spatiotemporal Air Quality Response to Meteorological Parameters: A National-Scale Analysis in China Z. Qiao et al. 10.3390/su11143957
52. Characteristics of the upstream flow patterns during PM2.5 pollution events over a complex island topography H. Lai & M. Lin 10.1016/j.atmosenv.2020.117418
53. A Comparison of Meteorology-Driven Interannual Variations of Surface Aerosol Concentrations in the Eastern United States, Eastern China, and Europe J. Feng et al. 10.2151/sola.2016-031
54. Analysis and Modelling of PM2.5 Temporal and Spatial Behaviors in European Cities J. Adães & J. Pires 10.3390/su11216019
55. The varying driving forces of PM2.5 concentrations in Chinese cities: Insights from a geographically and temporally weighted regression model Q. Liu et al. 10.1016/j.envint.2020.106168
56. Living in Mediterranean cities in the context of climate change: A review P. Nastos & H. Saaroni 10.1002/joc.8546
57. Haze prediction method based on stacking learning Z. Liu et al. 10.1007/s00477-023-02619-6
58. Monitoring Air Quality in Urban Areas Using a Vehicle Sensor Network (VSN) Crowdsensing Paradigm P. Diviacco et al. 10.3390/rs14215576
59. The effect of natural and anthropogenic factors on haze pollution in Chinese cities: A spatial econometrics approach H. Liu et al. 10.1016/j.jclepro.2017.07.127
60. Modelling Spatial Heterogeneity in the Effects of Natural and Socioeconomic Factors, and Their Interactions, on Atmospheric PM2.5 Concentrations in China from 2000–2015 T. Wu et al. 10.3390/rs13112152
61. Impacts of regional climate change on air quality projections and associated uncertainties G. Lacressonnière et al. 10.1007/s10584-016-1619-z
62. Comparison of dry and wet deposition of particulate matter in near-surface waters during summer Y. Wu et al. 10.1371/journal.pone.0199241
63. Global spatial and temporal patterns of fine particulate concentrations and exposure risk assessment in the context of SDG indicator 11.6.2 Y. Zhao et al. 10.1016/j.ecolind.2023.111031
64. Dominant variables of global air pollution-climate interaction: Geographic insight H. Feng et al. 10.1016/j.ecolind.2018.12.038
65. Long-term hourly air quality data bridging of neighboring sites using automated machine learning: A case study in the Greater Bay area of China B. Wu et al. 10.1016/j.atmosenv.2024.120347
66. Large‐scale meteorological control on the spatial pattern of wintertime PM2.5 pollution over China Z. Wang et al. 10.1002/asl.938
67. Air quality pollutants and their relationship with meteorological variables in four suburbs of Greater Sydney, Australia K. Haddad & N. Vizakos 10.1007/s11869-020-00913-8
68. The effect of natural and anthropogenic factors on PM2.5: Empirical evidence from Chinese cities with different income levels Q. Liu et al. 10.1016/j.scitotenv.2018.10.367
69. High-resolution WRF forecasts in the SmartAQ system: Evaluation of the meteorological forcing used for PMCAMx predictions in an urban area A. Pappa et al. 10.1016/j.atmosres.2023.107041
70. Spatial, seasonal and diurnal patterns in physicochemical characteristics and sources of PM2.5 in both inland and coastal regions within a megacity in China Y. Tian et al. 10.1016/j.jhazmat.2017.08.015
71. Modelling driving factors of PM2.5 concentrations in port cities of the Yangtze River Delta Y. Zhang et al. 10.1016/j.marpolbul.2022.114131
72. Governance matters: Urban expansion, environmental regulation, and PM2.5 pollution Z. Liu et al. 10.1016/j.scitotenv.2023.162788
73. Effects of Anthropogenic Emissions from Different Sectors on PM2.5 Concentrations in Chinese Cities J. Yang et al. 10.3390/ijerph182010869
74. Spatially heterogeneous relationships of PM2.5 concentrations with natural and land use factors in the Niger River Watershed, West Africa L. Zhou et al. 10.1016/j.jclepro.2023.136406
75. Particulate matter air pollution in Europe in a +2 °C warming world G. Lacressonnière et al. 10.1016/j.atmosenv.2017.01.037
76. The Impact of the COVID-19 Pandemic on Ambient Air Quality in China: A Quasi-Difference-in-Difference Approach T. Zhang & M. Tang 10.3390/ijerph18073404
77. PM2.5 Spatiotemporal Evolution and Drivers in the Yangtze River Delta between 2005 and 2015 G. Yun et al. 10.3390/atmos10020055
78. Response of winter fine particulate matter concentrations to emission and meteorology changes in North China M. Gao et al. 10.5194/acp-16-11837-2016
79. Seasonal variability of PM2.5 composition and sources in the Klang Valley urban-industrial environment N. Amil et al. 10.5194/acp-16-5357-2016
80. The climate change–pollution–aerobiome nexus: A ‘systems thinking’ mini‐review J. Robinson et al. 10.1111/1751-7915.70018
81. Mid-21st century air quality at the urban scale under the influence of changed climate and emissions – case studies for Paris and Stockholm K. Markakis et al. 10.5194/acp-16-1877-2016
82. Variations of Haze Pollution in China Modulated by Thermal Forcing of the Western Pacific Warm Pool Y. You et al. 10.3390/atmos9080314
83. How does urbanization influence PM2.5 concentrations? Perspective of spillover effect of multi-dimensional urbanization impact Y. Du et al. 10.1016/j.jclepro.2019.02.222
84. Impacts of Industrial Restructuring and Technological Progress on PM2.5 Pollution: Evidence from Prefecture-Level Cities in China N. Xu et al. 10.3390/ijerph18105283
85. Impact of biogenic emissions on ozone and fine particles over Europe: Comparing effects of temperature increase and a potential anthropogenic NOx emissions abatement strategy E. Tagaris et al. 10.1016/j.atmosenv.2014.08.056