Land use regression modeling of oxidative potential of fine particles, NO 2 , PM 2.5 mass and association to type two diabetes mellitus
Sign Up to like & getrecommendations! Published in 2017 at "Atmospheric Environment"
DOI: 10.1016/j.atmosenv.2017.10.017
Abstract: Abstract While land use regression models (LUR) are commonly used, e.g. for the prediction of spatially variable air pollutant mass concentrations, they are scarcely used for predicting the oxidative potential (OP), a suggested unifying predictor… read more here.
Keywords: regression; use regression; mass; fine particles ... See more keywords
Effect of sample number and location on accuracy of land use regression model in NO2 prediction
Sign Up to like & getrecommendations! Published in 2020 at "Atmospheric Environment"
DOI: 10.1016/j.atmosenv.2020.118057
Abstract: Abstract Land use regression model (LUR) is one of the most commonly used methods to project the spatial concentration of ambient pollutants. The number and location of samples are two key factors affecting the accuracy… read more here.
Keywords: use regression; accuracy; regression model; number ... See more keywords
Capturing Exposure Disparities with Chemical Transport Models: Evaluating the Suitability of Downscaling Using Land Use Regression.
Sign Up to like & getrecommendations! Published in 2024 at "Environmental science & technology"
DOI: 10.1021/acs.est.4c03725
Abstract: High resolution exposure surfaces are essential to capture disparities in exposure to traffic-related air pollution in urban areas. In this study, we develop an approach to downscale Chemical Transport Model (CTM) simulations to a hyperlocal… read more here.
Keywords: approach; chemical transport; exposure; land use ... See more keywords
OP III – 5 Land use regression modelling of outdoor no2 and pm2.5 concentrations in three low-income areas of the urban western cape, south africa
Sign Up to like & getrecommendations! Published in 2018 at "Occupational and Environmental Medicine"
DOI: 10.1136/oemed-2018-iseeabstracts.15
Abstract: Background/aim Intra-urban air pollution has been associated with adverse health effects, such as cardiovascular or respiratory disorders. Land Use Regression (LUR) modelling is one method to describe small-scale spatial variation in air pollution levels based… read more here.
Keywords: land use; no2 pm2; use regression;
Development of Phase and Seasonally Dependent Land-Use Regression Models to Predict Atmospheric PAH Levels
Sign Up to like & getrecommendations! Published in 2023 at "Toxics"
DOI: 10.3390/toxics11040316
Abstract: Polycyclic aromatic hydrocarbons (PAHs) are an important class of pollutants in China. The land use regression (LUR) model has been used to predict the selected PAH concentrations and screen the key influencing factors. However, most… read more here.
Keywords: land use; use regression; phase;