161 citations as recorded by crossref.

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2. Non-Conventional Data for Farming-Related Air Pollution: Contributions to Modelling and Risk Assessment in the Lombardy Region, Italy D. Oxoli et al.
3. Breaking the PGM barrier: How oxygen defects in non-stoichiometric rare earth/transition metal perovskites (Ce, La)(Fe, Cu, Zn)Ox harness the hidden rules of redox for next-gen emission control catalysts H. Zarin Toranj et al.
4. Analysis of Parameters Influencing the Formation of Particles during the Braking Process: Experimental Approach S. Vasiljević et al.
5. Study on the Concentration of Top Air Pollutants in Xuzhou City in Winter 2020 Based on the WRF-Chem and ADMS-Urban Models W. Liu et al.
6. Reassessing air pollution exposure: How daily mobility and activities shape individual risk in greater Paris T. Benoussaïd et al.
7. A novel approach for the prediction and analysis of daily concentrations of particulate matter using machine learning B. Panneerselvam et al.
8. Government land control approach, industrial agglomeration, and urban air quality: Analysis based on spatial spillovers and threshold effects F. Bao et al.
9. Multi-Source Integration for Assessing Air Quality Dynamics in China: The Interplay of Anthropogenic Drivers, Meteorology, and Topography H. Anwer & Y. Hu
10. Impact of urbanization on fine particulate matter concentrations over central Europe P. Huszar et al.
11. Hybrid Mixed-Effect Diffusion model (H-MED) for longitudinal air quality analysis I. Tanriverdi & C. Yozgatligil
12. Carbonaceous fraction in PM2.5 of six Latin American cities: Seasonal variations, sources and secondary organic carbon contribution L. Dawidowski et al.
13. Impact of urbanization on gas-phase pollutant concentrations: a regional-scale, model-based analysis of the contributing factors P. Huszar et al.
14. Implementation and application of ensemble optimal interpolation on an operational chemistry weather model for improving PM2.5 and visibility predictions S. Li et al.
15. Evaluating air quality and criteria pollutants prediction disparities by data mining along a stretch of urban-rural agglomeration includes coal-mine belts and thermal power plants A. Choudhary et al.
16. Synergistic Co-Pyrolysis of biomass for renewable energy: Enhanced energy recovery and heat integration from non-condensable gases A. Promraksa et al.
17. Particle Size Range in Continuous Particulate Air Monitors (CPAMs) of Gombe Metropolitan Area Northeastern Nigeria: Characterization, Challenges, and Implications for Air Quality Monitoring M. Garba et al.
18. COMMUNICATING OUTPUTS, OUTCOMES AND IMPACTS OF WASTE-RELATED RESEARCH: THE “EMERGE” CASE STUDY I. Williams et al.
19. Evaluation of low-cost gas sensors to quantify intra-urban variability of atmospheric pollutants A. Baruah et al.
20. Present Knowledge and Future Perspectives of Atmospheric Emission Inventories of Toxic Trace Elements: A Critical Review X. Bai et al.
21. Analyzing the Influence of Vehicular Traffic on the Concentration of Pollutants in the City of São Paulo: An Approach Based on Pandemic SARS-CoV-2 Data and Deep Learning G. Moreira et al.
22. Toward Explainable and Transferable Deep Downscaling of Atmospheric Pollutants G. Ashiotis et al.
23. Observational Inferences of NOx and CO Emission Factors for Vehicles and Homes in the San Francisco Bay Area Y. Zhu et al.
24. Integrating Sentinel-1/2 Imagery and Climate Reanalysis for Monthly Bare Soil Mapping and Wind Erosion Modeling in Shandong Province, China A. Liu & Y. Chen
25. Decoupling Emission Reductions and Trade-Offs of Policies in Norway Based on a Bottom-Up Traffic Emission Model H. Grythe et al.
26. Characterization of Coarse Organic Particulate Matter in Urban and Rural Switzerland Using Advanced Offline Mass Spectrometry K. Schneider-Beltran et al.
27. Learn from Simulations, Adapt to Observations: Super-Resolution of Isoprene Emissions via Unpaired Domain Adaptation A. Giganti et al.
28. Multilayer Vertical Interactions of Air Pollution and Meteorological Drivers Revealed by a Unified Data-Driven Model X. Lu et al.
29. Daily high-resolution surface PM2.5 estimation over Europe by ML-based downscaling of the CAMS regional forecast S. Shetty et al.
30. Assessment of Traffic-Related Air Pollution in Kirkuk City, Iraq Using Python-Based AERMOD and GIS M. Ameen & M. Azmi
31. Major ions in Central European precipitation – Insight into changes in NO3−/SO42−, NH4+/NO3− and NH4+/SO42− ratios over the last four decades I. Hůnová et al.
32. A Lagrangian view on severe haze in Beijing: local and long-range sources of trace gases and primary and secondary aerosols B. Foreback et al.
33. Modelling Smell Events in Urban Pittsburgh with Machine and Deep Learning Techniques A. Gavros et al.
34. Transforming air pollution and health research into action in low- and middle-income countries J. Samet et al.
35. Trends in the Use of Air Quality Indexes in Asthma Studies A. Barrera-Heredia et al.
36. Elucidating transport dynamics and regional division of PM2.5 and O3 in China using an advanced network model X. Hou et al.
37. Advancements in Air Quality Monitoring Systems: A Comprehensive Review of Emerging Technologies for Enhancing Environmental Health S. Ahmed et al.
38. A case study of the usefulness of δ13C and δ15N for PM source apportionment under different meteorological conditions M. Rubino et al.
39. Air Pollution Effects on Mental Health Relationships: Scoping Review on Historically Used Methodologies to Analyze Adult Populations K. Leontjevaite et al.
40. On exposure uncertainty quantification from accidental airborne point releases J. Bartzis et al.
41. CxNy-based materials as gas sensors: Structure, performance, mechanism and perspective M. Chen et al.
42. Breathing Cities: Air Quality, Population Exposure, and Sustainability Implications in 33 European Capitals A. Krzyżewska
43. Critical factors influencing PM10 and PM2.5 pollution episodes and their associated particle chemical composition and mixing state in a coastal multisources area A. Waza et al.
44. Dynamical-statistical method for seasonal forecasting of wintertime PM10 concentration in South Korea using multi-model ensemble climate forecasts J. Choi et al.
45. Air phyto-cleaning by an urban meadow – Filling the winter gap A. Nawrocki et al.
46. Machine learning-enhanced high-resolution exposure assessment of ultrafine particles Y. Jianyao et al.
47. Data Evaluation of a Low-Cost Sensor Network for Atmospheric Particulate Matter Monitoring in 15 Municipalities in Serbia D. Stojanović et al.
48. Predictive modeling of major polluters based on the German PRTR emissions data H. Thimm & V. Schmidt
49. Assessing the Key Factors Measuring Regional Competitiveness A. Kouskoura et al.
50. Modeling PM2.5 Levels Due to Combustion Activities and Fireworks in Quito (Ecuador) for Forecasting Using WRF-Chem R. Parra
51. Rapid reduction of air pollution and short-term exposure risks in China H. Fan et al.
52. Ambient Air Quality Assessment in Blantyre Malawi Using Low-Cost Sensors C. Kaonga et al.
53. Parallel Implementation of a Sensitivity Operator-Based Source Identification Algorithm for Distributed Memory Computers A. Penenko & E. Rusin
54. Improving Indoor Air Quality through Standardization J. Saffell & S. Nehr
55. Fast optimization of the emission reduction pathways of major air pollutants in China: From the perspective of different decision preferences Y. Wang et al.
56. Accurate AQI forecasting in a high-altitude city using a simulated CVOCA-BiLSTM hybrid model: a case study of Lhasa, Tibet F. Xiao et al.
57. Mapping trends and analyzing key themes in low-cost sensors for air quality monitoring K. Alhasa et al.
58. Impact of wind-induced resuspension on urban air quality: a CFD study with air quality data comparison J. Linda et al.
59. Evaluation of meteorological effects on air quality (AQ) across Delhi using geo-spatial datasets and deep learning F. Bahadur et al.
60. Ozone Trends and Mortality Risk: The Growing Need for Machine Learning Predictions in Bogotá, Colombia D. Bustos et al.
61. Identification of best machine learning model for the real-time vehicular data based prediction of PM2.5 and PM10 R. Kumar & R. Uppaluri
62. Analysis and Exposure Assessment of Factors That Affect the Concentration of Ambient PM2.5 in Seoul Based on Population Movement J. Woo et al.
63. Measurement and Analysis of Brake and Tyre Particle Emissions from Automotive Series Components for High-Load Driving Tests on a Wheel and Suspension Test Bed M. Kupper et al.
64. Key factors for abating particulate matter in a highly industrialized area in N Spain: Fugitive emissions and secondary aerosol precursors R. Lara et al.
65. Characterizing indoor-outdoor PM2.5 concentrations using low-cost sensor measurements in residential homes in Dhaka, Bangladesh P. Saha et al.
66. A multiscale air quality and health risk modelling system: Design and application over a local traffic management case study C. Silveira et al.
67. Air Pollution from Dumping Sites in India: Implications on Environmental Health S. Bamotra et al.
68. Aquality32: A low-cost, open-source air quality monitoring device leveraging the ESP32 and google platform D. Pineda-Tobón et al.
69. Exploring PM2.5 and PM10 ML forecasting models: a comparative study in the UAE W. Abuouelezz et al.
70. A critical review of managing air pollution through airshed approach A. Khan et al.
71. Facile Fabrication of Oxygen‐Enriched MXene‐Based Sensor and Their Ammonia Gas‐Sensing Enhancement L. Cao et al.
72. Development of land use regression, dispersion, and hybrid models for prediction of outdoor air pollution exposure in Barcelona A. Domínguez et al.
73. Characterization of atmospheric aerosol and its carbonaceous components at a central Mediterranean site: A multi-method approach using optical, physical, and isotopic techniques D. Peccarrisi et al.
74. Air Pollution Monitoring, and Modelling: An Overview F. Tahir Bahadur et al.
75. Development and Evaluation of the Online Hybrid Model CAMx-LPiG A. Piccoli et al.
76. Evaluating the performance and influencing factors of three portable black carbon monitors for field measurement L. Wu et al.
77. Towards Federated Learning and Multi-Access Edge Computing for Air Quality Monitoring: Literature Review and Assessment S. Abimannan et al.
78. A data-driven clustering approach for assessing spatiotemporal vulnerability to urban emergencies J. Bittencourt et al.
79. Volatile organic compound emissions from a multi-unit residential building to ambient air A. Askari & A. Chan
80. Machine learning predictions for carbon monoxide levels in urban environments M. Almubaidin et al.
81. Assessment and Prediction of Health and Agricultural Impact from Combined PM2.5 and O3 Pollution in China Y. Luan et al.
82. A deep spatio-temporal learning network for continuous citywide air quality forecast based on dense monitoring data R. Guo et al.
83. Recent developments in geographic information systems across different application domains: a review K. Sowmiya Narayanan & A. Manimaran
84. Prenatal and early life exposure to air pollution and the risk of severe lower respiratory tract infections during early childhood: the Espoo Cohort Study A. Belachew et al.
85. Air pollution forecasting based on wireless communications: review M. Fadhil et al.
86. Measurement report: Inland ship emissions and their contribution to NOx and ultrafine particle concentrations at the Rhine P. Eger et al.
87. Aerosol sources characterization and apportionment from low-cost particle sensors in an urban environment V. Kumar et al.
88. A simple and fast method to downscale chemistry transport model output fields from the regional to the urban/district scale B. Bessagnet et al.
89. Integrating Passive Biomonitoring and Active Monitoring: Spider Web Silk and Portable Instruments for Air Quality in Urban Areas A. Muzamil et al.
90. Health Risk Assessment of Exposure to Air Pollutants Exceeding the New WHO Air Quality Guidelines (AQGs) in São Paulo, Brazil C. Wikuats et al.
91. Challenges in Observation of Ultrafine Particles: Addressing Estimation Miscalculations and the Necessity of Temporal Trends T. Lin et al.
92. Impact of mixing states on aerosol radiative effects and feedback during winter haze episodes over the North China Plain J. Wang et al.
93. Simulating PM2.5 Concentrations during New Year in Cuenca, Ecuador: Effects of Advancing the Time of Burning Activities R. Parra et al.
94. A Lightweight Air Quality Monitoring Method Based on Multiscale Dilated Convolutional Neural Network Z. Wang et al.
95. Spatiotemporal dynamics of air pollutants and human health burden in Bihar, India: A multi-source assessment for effective air quality management R. Kumar & A. Choudhary
96. Isotopic inference of atmospheric nitrate sources and formation pathways: Significant biases introduced by non-negligible primary nitrate emissions H. Xiao et al.
97. Tagging Emissions from Indoor Biomass Combustion with a Cost-Effective Sensor Array: From Design to Field Deployment in Rural Indian Households N. Duc et al.
98. Machine learning integrated PMF model reveals influencing factors of ozone pollution in a coal chemical industry city at the Jiangsu-Shandong-Henan-Anhui boundary C. Wang et al.
99. Seasonal dynamics and strategic mitigation of volatile Sulfur compounds emissions from an urban wastewater treatment plant: a long-term monitoring and AERMOD simulation Z. Xu et al.
100. The nexus of transportation, the built environment, air pollution and health H. Khreis et al.
101. A Comprehensive Review of PM-Related Studies in Industrial Proximity: Insights from the East Mediterranean Middle East Region M. Fadel et al.
102. Probing the capacity of a spatiotemporal deep learning model for short-term PM2.5 forecasts in a coastal urban area Q. Liao et al.
103. Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches D. Costa et al.
104. High-Resolution Urban Air Quality Mapping for Multiple Pollutants Based on Dense Monitoring Data and Machine Learning R. Guo et al.
105. NH3 concentrations below the current critical level affect the epiphytic macrolichen communities – Evidence from a Northern European City S. Manninen et al.
106. Emission location affects impacts on atmosphere and climate from alternative fuels for Norwegian domestic aviation J. Klenner et al.
107. Reviewing the links and feedbacks between climate change and air pollution in Europe U. Im et al.
108. An intercomparison of weather normalization of PM2.5 concentration using traditional statistical methods, machine learning, and chemistry transport models H. Zheng et al.
109. Incorporating dynamic population activities in modeling exposure to urban air pollution: insights from COVID-19 lockdowns in three European cities M. Ramacher
110. A GIS-based approach to determining optimal location for decentralized inner city smart filters: Toward net zero cities H. Alshuwaikhat et al.
111. Fine-scale fluctuations of PM1, PM2.5, PM10 and SO2 concentrations caused by a prolonged volcanic eruption (Fagradalsfjall 2021, Iceland) R. Whitty et al.
112. Attribution of Black Carbon Variability in China (2000–2019) from a Perspective of Machine Learning R. Fan et al.
113. Comprehensive Drought Vulnerability Assessment in Northwestern Odisha: A Fuzzy Logic and Analytical Hierarchy Process Integration Approach S. Mahato et al.
114. Exploring the linkages between urban form, mobility and emissions with OLYMPUS: A comparative analysis in two French regions V. Salas et al.
115. Long-term assessment of PM10 and SO2 in northwestern Türkiye: meteorology, inversions, and transboundary transport A. Mutlu
116. Indoor Air Quality: A Review of Cleaning Technologies T. Mata et al.
117. Surface optimization of double perovskite oxide La2NiFeO6 for toluene catalytic oxidation through control of cation non-stoichiometry M. Wu et al.
118. Analysis of secondary inorganic aerosols over the greater Athens area using the EPISODE–CityChem source dispersion and photochemistry model S. Myriokefalitakis et al.
119. Double-bounded diphenyl-contained fluorene polymers for Sc-SWCNTs composite to ammonia gas sensors: Diphenylethene or diphenylmethanimine P. Nie et al.
120. Leveraging Land Cover Priors for Isoprene Emission Super-Resolution C. Ummerle et al.
121. Towards better understanding the urban environment and its interactions with regional climate change - The WCRP CORDEX Flagship Pilot Study URB-RCC G. Langendijk et al.
122. Assessment of air quality variations in Punjab, Pakistan, using Sentinel-5P during COVID-19 lockdowns N. Arshad et al.
123. Lessons learnt for air pollution mitigation policies from the COVID-19 pandemic: The Italian perspective M. D'Isidoro et al.
124. A hybrid deep learning air pollution prediction approach based on neighborhood selection and spatio-temporal attention G. Chen et al.
125. Measurement report: Source attribution and estimation of black carbon levels in an urban hotspot of the central Po Valley – an integrated approach combining high-resolution dispersion modelling and micro-aethalometers G. Veratti et al.
126. Assessing the impact of data fusion and data quality on spatiotemporal characteristics of exposure models and probability maps - a case study for hazardous mineral fibres D. Zelman-Fahm et al.
127. Who pollutes more? The influence of human development and its economic and social dimensions on non-greenhouse gas air pollutant emissions in the arab world S. Jaber
128. The Role of Belgian Airborne Sniffer Measurements in the MARPOL Annex VI Enforcement Chain W. Van Roy et al.
129. Ambient PM2.5 Exposure Modeling in LMICs: An Example from Peru L. Blanco-Villafuerte et al.
130. Effects of agricultural sources on air quality in Lahore, Pakistan, based on CMAQ simulation A. Abbasi et al.
131. Estimating the atmospheric aerosol number size distribution using deep learning Y. Wu et al.
132. Data-Driven Detection of Nocturnal Pollen Fragmentation Triggered by High Humidity in an Urban Environment H. Zhang et al.
133. Building a Regional Platform for Monitoring Air Quality S. Stoyanov et al.
134. Satellite or ground-based measurements for air pollutants (PM2.5, PM10, SO2, NO2, O3) data and their health hazards: which is most accurate and why? Z. Mushtaq et al.
135. Impacts of sugarcane industry on air quality and public health in a rural area of Atoyac, México U. Hernandez-Sánchez et al.
136. Daytime pollutant accumulation driven by suppressed near-surface mixing in dense high-rise building canopies J. Kim & S. Kim
137. Data Assimilation Algorithms for Atmospheric Chemistry Models A. Penenko et al.
138. Fingerprints of festive emissions on PM2.5 in an urban metropolis: Carbonaceous species, metals, and aerosol acidity A. Panjikkaran et al.
139. Analysis of inequalities in personal exposure to PM2.5: A modelling study for the Greater London school-aged population L. Ferguson et al.
140. Hierarchical porous structure endowing fiber membranes efficient PM removal and HCHO decomposition S. Yu et al.
141. Designating Airsheds in India for Urban and Regional Air Quality Management S. Guttikunda
142. Optimizing the Numerical Simulation of the Dust Event of March 2021: Integrating Aerosol Observations through Multi-Scale 3D Variational Assimilation in the WRF-Chem Model S. Mei et al.
143. Comprehensive evaluation of constant and variable turbulent Schmidt numbers for CFD simulation of near-field air pollutant dispersion A. Weerasuriya et al.
144. Advancing air pollution forecasting: a review of physical, statistical, and machine learning methods A. Rawat et al.
145. Sequence-oriented sensitive analysis for PM2.5 exposure and risk assessment using interactive process mining E. Illueca Fernández et al.
146. A systematic review of artificial intelligence applications for indoor air quality monitoring in educational settings P. Hashir et al.
147. A standardized methodology for the validation of air quality forecast applications (F-MQO): lessons learnt from its application across Europe L. Vitali et al.
148. Assessment of the Statistical Performance of Chemical Transport Model Studies in India R. Shandilya et al.
149. Seeing and turbulence profile simulations over complex terrain at the Thai National Observatory using a chemistry-coupled regional forecasting model R. Macatangay et al.
150. Advances in Nanofiber Filtration Membranes: From Principles to Intelligent Applications S. Shi et al.
151. Recent progress, bottlenecks, and outlook of multiscale air quality modelling: a review Y. Dai et al.
152. Dynamic assessment of NO2 plume rise and pollution contributions from steel industry point sources in an energy-intensive region of China C. Gao et al.
153. Air quality and health risks in chemical supply shops in southeastern Nigeria F. Madu et al.
154. Analysis of Air Samples from the Cities of Mysuru and Madikeri J. Marilingappa & A. Servesh
155. A Study of Air Quality Modeling Based on Transportation Sources through Bibliometric Analysis R. Eko Handriyono et al.
156. bneR: A collaborative workflow for air pollution exposure modeling and uncertainty characterization using the Bayesian Nonparametric Ensemble J. Benavides et al.
157. Predicting Extreme Environmental Values with Hybrid Models: A Perspective Across Air Quality, Wind Energy, and Sensor Networks G. Efthimiou
158. Effects of chemical mechanism and meteorological factors on the concentration of atmospheric pollutants in the megacity Beijing, China Y. Li et al.
159. TROPOMI-Based PM2.5 Estimates and Their Evaluation During a High-Pollution Event in Germany J. Handschuh et al.
160. Editorial: Atmospheric aerosol and pollution: characterization techniques and source identification M. Tahri & A. Benchrif
161. A pan-European WRF–CMAQ framework for air quality assessment: Model evaluation and policy baseline N. Traka et al.