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Ulrich Quaß

Biographic Data

ID7876536
NAMEUlrich Quaß
GIVEN NAMESUlrich
FAMILY NAMEQuaß
SIGNATUREQUAß U
AFFILIATIONSAir Quality & Sustainable Nanotechnology, IUTA Institüt für Energie- und Umwelttechnik e.V., Duisburg, Germany
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2014
H-INDEX0
  • Respiratory Effects of Fine and Ultrafine Particles from Indoor Sources—A Randomized Sham-Controlled Exposure Study of Healthy Volunteers

    Open Access•Vanessa Soppa, Roel P F Schins et al.•ARTICLE•International Journal of…•2014

    Particulate air pollution is linked to impaired respiratory health. We analyzed particle emissions from common indoor sources (candles burning (CB), toasting bread (TB), frying sausages (FS)) and lung function in 55 healthy volunteers (mean age 33.0 years) in a randomized cross-over controlled exposure study. Lung-deposited particle surface area concentration (PSC), size-specific particle number concentration (PNC) up to 10 μm, and particle mass …

  • Development of Land Use Regression Models for PM 2.5 , PM 2.5 Absorbance, PM 10 and PM coarse in 20 European Study Areas; Results of the Escape Project

    Marloes Eeftens, Rob Beelen et al.•ARTICLE•Environmental Science & Technology•2012

    Land Use Regression (LUR) models have been used increasingly for modeling small-scale spatial variation in air pollution concentrations and estimating individual exposure for participants of cohort studies. Within the ESCAPE project, concentrations of PM(2.5), PM(2.5) absorbance, PM(10), and PM(coarse) were measured in 20 European study areas at 20 sites per area. GIS-derived predictor variables (e.g., traffic intensity, population, and land-use)…

No prominent works on this page.

  • Development of Land Use Regression Models for PM 2.5 , PM 2.5 Absorbance, PM 10 and PM coarse in 20 European Study Areas; Results of the Escape Project

    Marloes Eeftens, Rob Beelen et al.•ARTICLE•Environmental Science & Technology•2012

    Land Use Regression (LUR) models have been used increasingly for modeling small-scale spatial variation in air pollution concentrations and estimating individual exposure for participants of cohort studies. Within the ESCAPE project, concentrations of PM(2.5), PM(2.5) absorbance, PM(10), and PM(coarse) were measured in 20 European study areas at 20 sites per area. GIS-derived predictor variables (e.g., traffic intensity, population, and land-use)…

  • Respiratory Effects of Fine and Ultrafine Particles from Indoor Sources—A Randomized Sham-Controlled Exposure Study of Healthy Volunteers

    Open Access•Vanessa Soppa, Roel P F Schins et al.•ARTICLE•International Journal of…•2014

    Particulate air pollution is linked to impaired respiratory health. We analyzed particle emissions from common indoor sources (candles burning (CB), toasting bread (TB), frying sausages (FS)) and lung function in 55 healthy volunteers (mean age 33.0 years) in a randomized cross-over controlled exposure study. Lung-deposited particle surface area concentration (PSC), size-specific particle number concentration (PNC) up to 10 μm, and particle mass …

Air Quality and Health Impacts (2 works) · Linear regression (2 works) · Mathematics (2 works) · Medicine (2 works) · Statistics (2 works) · Air pollution (1 works) · Air Quality Monitoring and Forecasting (1 works) · Anesthesia (1 works) · Animal science (1 works) · Atmospheric chemistry and aerosols (1 works)

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