<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In this paper we describe the evaluation of various climatic parameters in establishing their prognostic value in a photochemical smog episode. Our application was validated using real data from the “Cercul Militar National” and “Sos. Mihai Bravu nr. 47-49”, from April 2008 to May 2008. The study was performed on hour averages of pollutant concentrations and meteorological parameters and the statistical analysis was based on multiple regressions. We concluded by using mathematical and statistical methods, [1], that an accurate Global Solar Radiation is one of the most important and essential information in the pollution report.</p></abstract>

In this paper we describe the evaluation of various climatic parameters in establishing their prognostic value in a photochemical smog episode. Our application was validated using real data from the “Cercul Militar National” and “Sos. Mihai Bravu nr. 47-49”, from April 2008 to May 2008. The study was performed on hour averages of pollutant concentrations and meteorological parameters and the statistical analysis was based on multiple regressions. We concluded by using mathematical and statistical methods, [1], that an accurate Global Solar Radiation is one of the most important and essential information in the pollution report.

Statistical Analysis for Prognosis of a Photochemical Smog Episode

Assoc. Prof., Department of Thermal-Hydraulic Systems and Atmosphere Protection, Technical University of Civil Engineering Bucharest

Assist. Prof., Department of Thermal-Hydraulic Systems and Atmosphere Protection, Technical University of Civil Engineering

Researcher, Laboratoire Inter-Universitaires des Systèmes Atmosphériques, UMR7583, CNRS, UPEC, UPD, Paris, France

Modelling in Civil Environmental Engineering

{"article-title":"Statistical Analysis for Prognosis of a Photochemical Smog Episode"}

In this paper we describe the evaluation of various climatic parameters in establishing their prognostic value in a photochemical smog episode. Our application...

Statistical Analysis for Prognosis of a Photochemical Smog Episode

Data publikacji: 30 lip 2013

Zakres stron: 20 - 24

DOI: https://doi.org/10.2478/mmce-2013-0007

This content is open access.