Development of transferable neighborhood land use regression models for predicting intra-urban ambient nitrogen dioxide (NO<sub>2</sub>) spatial variations.

Ma, Xuying; Gao, Jay; Longley, Ian; Zou, Bin; Guo, Bin; Xu, Xin; Salmond, Jennifer

Development of transferable neighborhood land use regression models for predicting intra-urban ambient nitrogen dioxide (NO₂) spatial variations.

Ma, Xuying; Gao, Jay; Longley, Ian; Zou, Bin; Guo, Bin; Xu, Xin; Salmond, Jennifer.

Afiliación

Ma X; College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, China.
Gao J; School of Environment, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
Longley I; National Institute of Water and Atmospheric Research, Auckland, 1010, New Zealand.
Zou B; School of Geosciences and Info-Physics, Central South University, No. 932, South Lushan Road, Yuelu District, Changsha, 410083, Hunan, China. 210010@csu.edu.cn.
Guo B; College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, China.
Xu X; Xi'an Institute for Innovative Earth Environment Research, Xi'an, 710061, China.
Salmond J; School of Environment, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.

Environ Sci Pollut Res Int ; 29(30): 45903-45918, 2022 Jun.

Article en En | MEDLINE | ID: mdl-35150420

Asunto(s)

Contaminantes Atmosféricos; Contaminación del Aire; Contaminantes Atmosféricos/análisis; Contaminación del Aire/análisis; Ciudades; Monitoreo del Ambiente/métodos; Modelos Teóricos; Dióxido de Nitrógeno/análisis; Material Particulado/análisis

Palabras clave

Land use regression (LUR) models; Macro-scale predictor variables; Micro-scale predictor variables; Neighborhoods; Nitrogen dioxide (NO2); Transferability

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Environ Sci Pollut Res Int Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Alemania

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