A new application of multi-criteria decision making in identifying critical dust sources and comparing three common receptor-based models.

Hosseini Dehshiri, Seyyed Shahabaddin; Firoozabadi, Bahar; Afshin, Hossein

Hosseini Dehshiri, Seyyed Shahabaddin; Firoozabadi, Bahar; Afshin, Hossein.

Afiliación

Hosseini Dehshiri SS; Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran. Electronic address: hosseini.ssa@mech.sharif.edu.
Firoozabadi B; Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran. Electronic address: firoozabadi@sharif.edu.
Afshin H; Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran. Electronic address: afshin@sharif.edu.

Sci Total Environ ; 808: 152109, 2022 Feb 20.

Article en En | MEDLINE | ID: mdl-34875318

Asunto(s)

Contaminantes Atmosféricos; Polvo; Contaminantes Atmosféricos/análisis; Toma de Decisiones; Polvo/análisis; Monitoreo del Ambiente; Material Particulado/análisis; Estaciones del Año; Viento

Palabras clave

Concentration weighted trajectory; Cross referencing backward trajectory; Multi-criteria decision making; Potential source contribution function; Trajectory cluster analysis; Yazd

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_quimicos_contaminacion Asunto principal: Contaminantes Atmosféricos / Polvo Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Total Environ Año: 2022 Tipo del documento: Article

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