What Factors Dominate the Change of PM<sub>2.5</sub> in the World from 2000 to 2019? A Study from Multi-Source Data.

Xu, Xiankang; Shi, Kaifang; Huang, Zhongyu; Shen, Jingwei

What Factors Dominate the Change of PM_2.5 in the World from 2000 to 2019? A Study from Multi-Source Data.

Xu, Xiankang; Shi, Kaifang; Huang, Zhongyu; Shen, Jingwei.

Afiliación

Xu X; Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China.
Shi K; Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing 400715, China.
Huang Z; Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China.
Shen J; Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing 400715, China.

Int J Environ Res Public Health ; 20(3)2023 01 27.

Article en En | MEDLINE | ID: mdl-36767646

Asunto(s)

Contaminantes Atmosféricos; Contaminación del Aire; Humanos; Contaminantes Atmosféricos/análisis; Contaminación del Aire/análisis; Material Particulado/análisis; Contaminación Ambiental/análisis; Regresión Espacial; Monitoreo del Ambiente/métodos

Palabras clave

PM2.5; global trend analysis; multi-scale geographically weighted regression

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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 / Qualitative_research Límite: Humans Idioma: En Revista: Int J Environ Res Public Health Año: 2023 Tipo del documento: Article País de afiliación: China

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