Comparison of model estimates from an intra-city land use regression model with a national satellite-LUR and a regional Bayesian Maximum Entropy model, in estimating NO2 for a birth cohort in Sydney, Australia.
暂无分享,去创建一个
A. Hansell | L. Knibbs | G. Hoek | G. Marks | D. Morley | I. Hanigan | C. Cowie | F. Garden | E. Jegasothy | Edward Jegasothy | David Morley
[1] S. Leeder,et al. Cohort profile: The Childhood Asthma Prevention Study (CAPS). , 2018, International journal of epidemiology.
[2] L. Knibbs,et al. Blending Multiple Nitrogen Dioxide Data Sources for Neighborhood Estimates of Long-Term Exposure for Health Research. , 2017, Environmental science & technology.
[3] Lidia Morawska,et al. Development of a land use regression model for daily NO2 and NOx concentrations in the Brisbane metropolitan area, Australia , 2017, Environ. Model. Softw..
[4] R. Burnett,et al. Comparison of spatiotemporal prediction models of daily exposure of individuals to ambient nitrogen dioxide and ozone in Montreal, Canada , 2017, Environmental research.
[5] M. Brauer,et al. Global Land Use Regression Model for Nitrogen Dioxide Air Pollution. , 2017, Environmental science & technology.
[6] M. Bell,et al. Modeling the intraurban variation in nitrogen dioxide in urban areas in Kathmandu Valley, Nepal , 2017, Environmental research.
[7] M. Bell,et al. A study on modeling nitrogen dioxide concentrations using land-use regression and conventionally used exposure assessment methods , 2017 .
[8] L. Morawska,et al. Independent Validation of National Satellite-Based Land-Use Regression Models for Nitrogen Dioxide Using Passive Samplers. , 2016, Environmental Science and Technology.
[9] Bert Brunekreef,et al. Development of West-European PM2.5 and NO2 land use regression models incorporating satellite-derived and chemical transport modelling data. , 2016, Environmental research.
[10] Terry K Koo,et al. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. , 2016, Journal Chiropractic Medicine.
[11] Lianne Sheppard,et al. Satellite-Based NO2 and Model Validation in a National Prediction Model Based on Universal Kriging and Land-Use Regression. , 2016, Environmental science & technology.
[12] S. Moebus,et al. Comparison of Land-Use Regression Modeling with Dispersion and Chemistry Transport Modeling to Assign Air Pollution Concentrations within the Ruhr Area , 2016 .
[13] B. Brunekreef,et al. A New Technique for Evaluating Land-use Regression Models and Their Impact on Health Effect Estimates , 2016, Epidemiology.
[14] Randall V. Martin,et al. Long-Term Trends Worldwide in Ambient NO2 Concentrations Inferred from Satellite Observations , 2015, Environmental health perspectives.
[15] John S. Gulliver,et al. Development and transferability of a nitrogen dioxide land use regression model within the Veneto region of Italy , 2015 .
[16] David Blake,et al. Development of Land Use Regression models for predicting exposure to NO2 and NOx in Metropolitan Perth, Western Australia , 2015, Environ. Model. Softw..
[17] J. Marshall,et al. National Spatiotemporal Exposure Surface for NO2: Monthly Scaling of a Satellite-Derived Land-Use Regression, 2000-2010. , 2015, Environmental science & technology.
[18] Michael Brauer,et al. Assessment of the magnitude and recent trends in satellite-derived ground-level nitrogen dioxide over North America , 2015 .
[19] D. Giavarina. Understanding Bland Altman analysis , 2015, Biochemia medica.
[20] Bert Brunekreef,et al. Air Pollution and Lung Function in Dutch Children: A Comparison of Exposure Estimates and Associations Based on Land Use Regression and Dispersion Exposure Modeling Approaches , 2015, Environmental health perspectives.
[21] Bert Brunekreef,et al. Satellite NO2 data improve national land use regression models for ambient NO2 in a small densely populated country , 2015 .
[22] M. Brauer,et al. Use of Satellite Observations for Long-Term Exposure Assessment of Global Concentrations of Fine Particulate Matter , 2014, Environmental health perspectives.
[23] Jaakko Kukkonen,et al. Comparing land use regression and dispersion modelling to assess residential exposure to ambient air pollution for epidemiological studies. , 2014, Environment international.
[24] Julian D Marshall,et al. A national satellite-based land-use regression model for air pollution exposure assessment in Australia. , 2014, Environmental research.
[25] A. Hansell,et al. Weighted Road Density and Allergic Disease in Children at High Risk of Developing Asthma , 2014, PloS one.
[26] R. Slama,et al. Health effects of ambient air pollution: do different methods for estimating exposure lead to different results? , 2014, Environment international.
[27] Audrey de Nazelle,et al. Large scale air pollution estimation method combining land use regression and chemical transport modeling in a geostatistical framework. , 2014, Environmental science & technology.
[28] Kees de Hoogh,et al. Western European land use regression incorporating satellite- and ground-based measurements of NO2 and PM10. , 2013, Environmental science & technology.
[29] S. Leeder,et al. Outcomes of the childhood asthma prevention study at 11.5 years. , 2013, The Journal of allergy and clinical immunology.
[30] J. Burke,et al. Air pollution dispersion models for human exposure predictions in London , 2013, Journal of Exposure Science and Environmental Epidemiology.
[31] Daniel Krewski,et al. Spatial analysis of air pollution and mortality in California. , 2013, American journal of respiratory and critical care medicine.
[32] Kees de Hoogh,et al. Development and back-extrapolation of NO2 land use regression models for historic exposure assessment in Great Britain. , 2013, Environmental science & technology.
[33] Bert Brunekreef,et al. Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe - The ESCAPE project , 2013 .
[34] Halûk Özkaynak,et al. Air pollution exposure prediction approaches used in air pollution epidemiology studies , 2013, Journal of Exposure Science and Environmental Epidemiology.
[35] A. Peters,et al. Variation of NO2 and NOx concentrations between and within 36 European study areas: Results from the ESCAPE study , 2012 .
[36] Bert Brunekreef,et al. 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. , 2012, Environmental science & technology.
[37] Shaibal Mukerjee,et al. Evaluation of land use regression models for NO2 in El Paso, Texas, USA. , 2012, The Science of the total environment.
[38] B. Brunekreef,et al. Systematic evaluation of land use regression models for NO₂. , 2012, Environmental science & technology.
[39] Beate Ritz,et al. Comparing exposure assessment methods for traffic-related air pollution in an adverse pregnancy outcome study. , 2011, Environmental research.
[40] Julian D Marshall,et al. National satellite-based land-use regression: NO2 in the United States. , 2011, Environmental science & technology.
[41] M. Brauer,et al. Creating National Air Pollution Models for Population Exposure Assessment in Canada , 2011, Environmental health perspectives.
[42] Nectarios Rose,et al. Validation of a spatiotemporal land use regression model incorporating fixed site monitors. , 2011, Environmental science & technology.
[43] Marita Voogt,et al. Comparison of the performances of land use regression modelling and dispersion modelling in estimating small-scale variations in long-term air pollution concentrations in a Dutch urban area. , 2010 .
[44] Vlad Isakov,et al. Evaluation of land-use regression models used to predict air quality concentrations in an urban area , 2010 .
[45] Shaofei Kong,et al. A land use regression for predicting NO2 and PM10 concentrations in different seasons in Tianjin region, China. , 2010, Journal of environmental sciences.
[46] D. Niemeier,et al. Near-roadway air quality: synthesizing the findings from real-world data. , 2010, Environmental science & technology.
[47] Dan L. Crouse,et al. A prediction-based approach to modelling temporal and spatial variability of traffic-related air pollution in Montreal, Canada , 2009 .
[48] J. Gulliver,et al. A review of land-use regression models to assess spatial variation of outdoor air pollution , 2008 .
[49] Michael Brauer,et al. Within-urban variability in ambient air pollution: Comparison of estimation methods , 2008 .
[50] Michael Brauer,et al. Centre for Health Services and Policy Research, and , 2022 .
[51] Michael Brauer,et al. Application of land use regression to estimate long-term concentrations of traffic-related nitrogen oxides and fine particulate matter. , 2007, Environmental science & technology.
[52] M. Jerrett,et al. Modeling the Intraurban Variability of Ambient Traffic Pollution in Toronto, Canada , 2007, Journal of toxicology and environmental health. Part A.
[53] G. Lemasters,et al. A Review of Land-use Regression Models for Characterizing Intraurban Air Pollution Exposure , 2007, Inhalation toxicology.
[54] S. Leeder,et al. Prevention of asthma during the first 5 years of life: a randomized controlled trial. , 2006, The Journal of allergy and clinical immunology.
[55] P. Elliott,et al. A regression-based method for mapping traffic-related air pollution: application and testing in four contrasting urban environments. , 2000, The Science of the total environment.