Tuan V. Vu

Tuan V. Vu

An atmospheric chemist, interested in applied statistics/machine learning for air quality modelling

Publications

Below papers organized by topic (please see my CV or Google Schoolar/Research Gate for full list)

Selected papers
  1. Assessing the contributions of outdoor and indoor sources to air quality in London homes of the SCAMP cohort. In: Building and Environment (2022)
  2. More mileage in reducing urban air pollution from road traffic. In: Environment International 149 (2021), p. 106329
  3. Abrupt but smaller than expected changes in surface air quality attributable to COVID-19 lockdowns. In: Science Advances 7 (2021), eabd6696
  4. Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique. In: Atmos. Chem. Phys. 19 (2019), pp. 11303–11314
  5. Loss processes affecting submicrometer particles in a house heavily affected by road traffic emissions. In: Aerosol Science and Technology 51 (2017), pp. 1201–1211
I. Sources Apportionment of Air Pollutants
  1. Source Apportionment of the Lung Dose of Ambient Submicrometre Particulate Matter. In: Aerosol and Air Quality Research 16 (2016), pp. 1548–1557
  2. Insight into PM2.5 sources by applying positive matrix factorization (PMF) at urban and rural sites of Beijing.. In Atmos. Chem. Phys. 21 (2021), pp. 14703–14724.
  3. Source apportionment of carbonaceous aerosols in Beijing with radiocarbon and organic tracers: insight into the differences between urban and rural sites. In: Atmos. Chem. Phys.21 (2021), pp. 8273–8292
  4. Source apportionment of fine organic carbon at an urban site of Beijing using a chemical mass balance model. In: Atmos. Chem. Phys. 21 (2021), pp. 7321–7341
  5. An evaluation of source apportionment of fine OC and PM2.5 by multiple methods: APHH-Beijing campaigns as a case study. In: Faraday discussions 226 (2021), pp. 290–313
  6. Source apportionment of fine organic carbon (OC) using receptor modelling at a rural site of Beijing: Insight into seasonal and diurnal variation of source contributions. In: Environmental Pollution 266 (2020)
  7. Chemical composition and source apportionment of PM2.5 in urban areas of Xiangtan, Central South China In: International Journal of Environmental Research and Public Health 16 (2019)
  8. Characterization and source apportionment of carbonaceous PM2.5 particles in China - A review In Atmospheric Environment 189 (2018), pp. 187–212
  9. Sources of sub-micrometre particles near a major international airport. In: Atmos. Chem. Phys. 17 (2017), pp. 12379–12403
  10. Source apportionment of wide range particle size spectra and black carbon collected at the airport of Venice ,Italy In: Atmospheric Environment 139 (2016), pp. 56–74
  11. Particle number size distributions from seven major sources and implications for source apportionment studies. In: Atmospheric Environment 122 (2015), pp. 114–132
II. Air Quality Policies
  1. Abrupt but smaller than expected changes in surface air quality attributable to COVID-19 lockdowns. In: Science Advances 7 (2021), eabd6696
  2. Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique. In: Atmos. Chem. Phys. 19 (2019), pp. 11303–11314
  3. Long-term characterization of roadside air pollutants in urban Beijing and associated public health implications In: Environmental Research. 212 (2022), pp. 113277
  4. More mileage in reducing urban air pollution from road traffic. In: Environment International 149 (2021), p. 106329
  5. Assessment of strict autumn-winter emission controls on air quality in the Beijing-Tianjin-Hebei region. In: Atmos. Chem. Phys. Discussion (2021)
  6. Significant changes in chemistry of fine particles in wintertime Beijing from 2007 to 2017: impact of clean air actions. In: Environmental Science and Technology 54 (2020), pp. 1344–1352
  7. Assessing the impact of traffic emissions on fine particulate matter and carbon monoxide levels in Hanoi through COVID-19 social distancing periods. In: Aerosol and Air Quality Research 21 (2021), p. 210081
  8. A Review of Characteristics, Causes, and Formation Mechanisms of Haze in Southeast Asia. In: Current Pollution Reports (2022), May
III. Indoor vs Outdoor Air Pollution
  1. Assessing the contributions of outdoor and indoor sources to air quality in London homes of the SCAMP cohort. In: Building and Environment (2022)
  2. Chemical and physical properties of indoor aerosols. In: Indoor Air Pollution.The Royal Society of Chemistry, 2019, pp. 66–96
  3. Loss processes affecting submicrometer particles in a house heavily affected by road traffic emissions. In: Aerosol Science and Technology 51 (2017), pp. 1201–1211
  4. Factors controlling the lung dose of road traffic-generated sub-micrometre aerosols from outdoor to indoor environments. In: Air Quality, Atmosphere and Health 11 (2018), pp. 615–625
  5. Physical properties and lung deposition of particles emitted from five major indoor sources. In: Air quality, atmosphere & health 10 (2017), pp. 1–14
IV. Physico-chemical Properties of Air Pollution from measurement and modelling.
  1. Formation of secondary organic aerosols from anthropogenic precursors in laboratory studies. In: npj Climate and Atmospheric Science 5 (2022), p. 21
  2. Insights into air pollution chemistry and sulphate formation from nitrous acid (HONO) measurements during haze events in Beijing. In: Faraday discussions 226 (2021), pp. 223–238
  3. Estimation of hygroscopic growth properties of source-related sub-micrometre particle types in a mixed urban aerosol. In: npj Climate and Atmospheric Science 4 (2021), p. 21
  4. Evaluating the sensitivity of radical chemistry and ozone formation to ambient VOCs and NOx in Beijing. In: Atmos. Chem. Phys. 21 (2021), pp. 2125–2147
  5. Elevated levels of OH observed in haze events during wintertime in central Beijing. In: Atmos. Chem. Phys. 20 (2020), pp. 14847–14871
  6. The effects of meteorological conditions and long-range transport on PM2.5 levels in Hanoi revealed from multi-site measurement using compact sensors and machine learning approach. In: Journal of Aerosol Science (2020), p. 105716
  7. Differences in the composition of organic aerosols between winter and summer in Beijing: a study by direct-infusion ultrahigh-resolution mass spectrometry. In: Atmos. Chem. Phys.20 2020,pp. 13303–13318
  8. Insight into the composition of organic compounds in PM2.5 in wintertime in Beijing, China. In: Atmos. Chem.Phys. 19 (2019), pp. 10865–10881
  9. Alkanes and aliphatic carbonyl compounds in wintertime PM2.5 in Beijing, China. In: Atmospheric Environment 202 (2019), pp. 244–255
  10. In-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing). In: Atmos. Chem. Phys. 19 (2019), pp. 7519–7546
  11. Chemical and physical properties of indoor aerosols. In: Indoor Air Pollution.The Royal Society of Chemistry, 2019, pp. 66–96
  12. Physical properties and lung deposition of particles emitted from five major indoor sources. In: Air quality, atmosphere & health 10 (2017), pp. 1–14
  13. Intercomparison of four different cascade impactors for fine and ultrafine particle sampling in two European locations. In: Atmos. Chem. Phys. Discuss. 2016, pp. 1–27
  14. A review of hygroscopic growth factors of submicron aerosols from different sources and its implication for calculation of lung deposition efficiency of ambient aerosols. In: Air Quality, Atmosphere and Health 8 (2015), pp. 429–440
  15. Particle number size distributions from seven major sources and implications for source apportionment studies. In: Atmospheric Environment 122 (2015), pp. 114–132
  16. A study on characteristics of organic carbon and polycyclic aromatic hydrocarbons (PAHs) in PM10 at the residential and industrial areas in Ulsan of Korea. In: International Forum on Strategic Technology 2010
  17. Sources, distribution and toxicity of polyaromatic hydrocarbons (PAHs) in particulate matter. In: Air Pollution, Vanda Villanyi, IntechOpen, 2010
V. Risk Assessment, Lung Deposition and Health Impacts of Air Pollution
  1. Atmospheric conditions and composition that influence PM2.5 oxidative potential in Beijing, China. In: Atmos. Chem. Phys.21 (2021), pp.5549–5573
  2. Factors controlling the lung dose of road traffic-generated sub-micrometre aerosols from outdoor to indoor environments. In: Air Quality, Atmosphere and Health 11 (2018), pp. 615–625
  3. Physical properties and lung deposition of particles emitted from five major indoor sources. In: Air quality,atmosphere & health 10 (2017), pp. 1–14
  4. Source apportionment of the lung dose of ambient submicrometre particulate matter. In: Aerosol and Air Quality Research 16 (2016), pp. 1548–1557
  5. A review of hygroscopic growth factors of submicron aerosols from different sources and its implication for calculation of lung deposition efficiency of ambient aerosols. In: Air Quality, Atmosphere and Health 8 (2015), pp. 429–440
  6. Assessment of carcinogenic risk due to inhalation of polycyclic aromatic hydrocarbons in PM10 from an industrial city: A Korean case-study. In: Journal of Hazardous Materials 189 (2011), pp. 349–356
  7. Sources, distribution and toxicity of polyaromatic hydrocarbons (PAHs) in particulate matter. In: Air Pollution, Vanda Villanyi, IntechOpen, 2010