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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…
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Keywords:
regression;
use regression;
mass;
fine particles ... See more keywords
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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…
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Keywords:
use regression;
accuracy;
regression model;
number ... See more keywords
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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…
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Keywords:
land use;
no2 pm2;
use regression;
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3
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…
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Keywords:
land use;
use regression;
phase;