Effect of monitoring network design on land use regression models for estimating residential NO2 concentration
نویسندگان
چکیده
منابع مشابه
Effect of Monitoring Network Design on Land Use Regression Models for Estimating Residential NO2 Concentration
Land-use regression (LUR) models are increasingly used to estimate exposure to air pollution in urban areas. An appropriate monitoring network is an important component in the development of a robust LUR model. In this study concentrations of NO2 were simulated by a dispersion model at ‘virtual’ monitoring sites in 54 network designs of varying numbers and types of site, using a 25 km2 area in ...
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Self-Adaptive Revised Land Use Regression Models for Estimating PM2.5 Concentrations in Beijing, China
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Land use regression models (LUR) frequently use leave-one-out-cross-validation (LOOCV) to assess model fit, but recent studies suggested that this may overestimate predictive ability in independent data sets. Our aim was to evaluate LUR models for nitrogen dioxide (NO2) and particulate matter (PM) components exploiting the high correlation between concentrations of PM metrics and NO2. LUR model...
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ژورنال
عنوان ژورنال: Atmospheric Environment
سال: 2017
ISSN: 1352-2310
DOI: 10.1016/j.atmosenv.2016.11.014