Variation of PM2.5 concentrations in relation to street washing activities

Karanasiou, Angeliki; Moreno, Teresa; Amato, Fulvio; Tobias, Aurelio; Boldo, E.; Linares, C.; Lumbreras Martin, Julio; Borge García, Rafael; Alastuey, Andres y Querol, Xavier (2012). Variation of PM2.5 concentrations in relation to street washing activities. "Atmospheric Environment", v. 54 ; pp. 465-469. ISSN 1352-2310. https://doi.org/10.1016/j.atmosenv.2012.02.006.

Descripción

Título: Variation of PM2.5 concentrations in relation to street washing activities
Autor/es:
  • Karanasiou, Angeliki
  • Moreno, Teresa
  • Amato, Fulvio
  • Tobias, Aurelio
  • Boldo, E.
  • Linares, C.
  • Lumbreras Martin, Julio
  • Borge García, Rafael
  • Alastuey, Andres
  • Querol, Xavier
Tipo de Documento: Artículo
Título de Revista/Publicación: Atmospheric Environment
Fecha: Julio 2012
Volumen: 54
Materias:
Palabras Clave Informales: PM2.5; Road dust; Resuspension; Wind speed; Wind direction; Traffic; Madrid; Spain
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Ingeniería Química Industrial y del Medio Ambiente
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Several studies conducted in urban areas have pointed out that road dust resuspension contributes significantly to PM concentration levels. Street washing is one of the methods proposed to reduce resuspended road dust contributions to ambient PM concentrations. As resuspended particles are mainly found in the coarse mode, published studies investigating the effects of street washing have focused on PM10 size fraction. As the PM2.5 mass fraction of particles originating from mechanical abrasion processes may still be significant we conducted a study in order to evaluate the effects of street washing on the mitigation of resuspension of fine particles. The PM2.5 mass concentration data were examined and integrated with the occurrence of street washing activities. In addition, the effect of the meteorological variability, traffic flow and street washing activities, on ambient PM2.5 levels was valuated by means of a multivariate regression model. The results revealed that traffic low is the most important factor that controls PM2.5 hourly concentrations while street washing activities did not influence fine particle mass levels.

Más información

ID de Registro: 16697
Identificador DC: http://oa.upm.es/16697/
Identificador OAI: oai:oa.upm.es:16697
Identificador DOI: 10.1016/j.atmosenv.2012.02.006
URL Oficial: http://www.sciencedirect.com/science/article/pii/S1352231012001215
Depositado por: Memoria Investigacion
Depositado el: 20 Ene 2014 19:29
Ultima Modificación: 21 Abr 2016 17:03
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