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Impact assessment of PM10 cement plants emissions on urban air quality using the SCIPUFF dispersion model.
Leone, Vincenzo; Cervone, Guido; Iovino, Pasquale.
Afiliação
  • Leone V; GeoInformatics and Earth Observation Laboratory (GEO), Department of Geography and Institute for CyberScience, The Pennsylvania State University, University Park, PA, USA. vincenzo.leone@unina2.it.
  • Cervone G; Department of Environmental, Biological and Pharmaceutical Science and Technologies, Second University of Naples, via Vivaldi, 43, 81100, Caserta, Italy. vincenzo.leone@unina2.it.
  • Iovino P; Environmental Technologies, University Spin Off, Second University of Naples, Caserta, Italy. vincenzo.leone@unina2.it.
Environ Monit Assess ; 188(9): 499, 2016 Sep.
Article em En | MEDLINE | ID: mdl-27485615
ABSTRACT
The Second-order Closure Integrated Puff (SCIPUFF) model was used to study the impact on urban air quality caused by two cement plants emissions located near the city of Caserta, Italy, during the entire year of 2015. The simulated and observed PM10 concentrations were compared using three monitoring stations located in urban and sub-urban area of Caserta city. Both simulated and observed concentrations are shown to be highest in winter, lower in autumn and spring and lowest in summer. Model results generally follow the pattern of the observed concentrations but have a systematic under-prediction of the concentration values. Measures of the bias, NMSE and RMSE indicate a good correlation between observed and estimated values. The SCIPUFF model data analysis suggest that the cement plants are major sources for the measured PM10 values and are responsible for the deterioration of the urban air quality in the city of Caserta.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Materiais de Construção / Poluentes Atmosféricos / Material Particulado / Modelos Teóricos Tipo de estudo: Prognostic_studies País/Região como assunto: Europa Idioma: En Revista: Environ Monit Assess Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Materiais de Construção / Poluentes Atmosféricos / Material Particulado / Modelos Teóricos Tipo de estudo: Prognostic_studies País/Região como assunto: Europa Idioma: En Revista: Environ Monit Assess Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos