INDOOR AIR QUALITY IN BRAZILIAN SCHOOLS NEARBY INDUSTRIES: THE CASE OF CURITIBA Ricardo Henrique Moreton Godoi 1 *, Ana Flavia Locateli Godoi 1 , Manoela Galafassi Arantes 1 , SØrgio JosØ Gonalves Junior 1 , Luana Cordova Stroppa 1 , Ricardo Alves 1 , Eliana Mara Fortunato de Lucena Reynaldo 2 , Balant Alfoldy 3 , Yaroslava Makarovska 4 , JosØ Eduardo Ferreira da Costa Gardolinski 5 , JosØ Manoel dos Reis Neto 5 , Rene van Grieken 4 . 1 Environmental Engineering Course, Federal University of Parana - UFPR, Curitiba - PR, Brazil. 2 Red Cross Hospital - ParanÆ, Curitiba, Brazil 3 Health Physics Department, KFKI Atomic Energy Research Institute, P.O. Box 49, H-1525 Budapest 114, Hungary. 4 Department of Chemistry, University of Antwerp, Universiteitsplein 1, B-2610 Antwerp, Belgium. 5 Rock and Mineral Analysis Laboratory, Geology Department, Federal University of Parana - UFPR, Curitiba - PR, Brazil. * e-mail: rhmgodoi@ufpr.br The mitigation of pollution released to the environment originating from industrial sector has been the aim of all policy-makers. Among heavy industries, oil refineries and lime industries have been identified as large emitters of a wide variety of pollutants. Air pollution caused by such industries has become a serious problem with potential effects to human health, especially in developing countries. In metropolitan region of Curitiba, South of Brazil, a correlation has been shown between the lime production and the number of persons who need respiratory treatment in a local hospital, indicating that the lime industries can cause deleterious health effects in the exposed population. Although this concern is controversial, petroleum refinery has been also linked to some adverse health effects for people living nearby. Apart from home, school is the most important indoor environment for children and there is increasing concern about the school environment and its impact on health, also in developing countries where the prevalence of pollution is higher. As most of the children spend more than one third of their time in schools, hence it is critical to evaluate the particulate matter level in such complex environment. Size segregated aerosol samples were collected for analyses of bulk and single particle elemental and molecular compositions. They were analysed by electron probe micro-analysis, utilising facilities for low- Z element determination, and by energy-dispersive x-ray fluorescence, to investigate the elemental composition of individual particles and bulk samples, and by micro Raman spectrometry, to elucidate the molecular composition. Results are interpreted separately and as a whole with the specific aim of identifying compounds that could affected the health the students. In view of the chemical composition and size distribution of the aerosol particles, local deposition efficiencies in the children respiratory system were calculated, revealing the deposition of particles at extrathoracic, tracheobronchial and pulmonary levels. Financial support: CNPq
INDOOR AIR QUALITY IN BRAZILIAN SCHOOLS NEARBY INDUSTRIES:
THE CASE OF CURITIBA
Ricardo Henrique Moreton Godoi1*, Ana Flavia Locateli Godoi1, Manoela Galafassi Arantes1, Sérgio
José Gonçalves Junior1, Luana Cordova Stroppa1, Ricardo Alves1, Eliana Mara Fortunato de Lucena
Reynaldo2, Balant Alfoldy3, Yaroslava Makarovska4, José Eduardo Ferreira da Costa Gardolinski5, José
Manoel dos Reis Neto5, Rene van Grieken4.
1
Environmental Engineering Course, Federal University of Parana - UFPR, Curitiba - PR, Brazil.
2
Red Cross Hospital - Paraná, Curitiba, Brazil
3
Health Physics Department, KFKI Atomic Energy Research Institute, P.O. Box 49, H-1525 Budapest
114, Hungary.
4
Department of Chemistry, University of Antwerp, Universiteitsplein 1, B-2610 Antwerp, Belgium.
5
Rock and Mineral Analysis Laboratory, Geology Department, Federal University of Parana - UFPR,
Curitiba - PR, Brazil.
*
e-mail: rhmgodoi@ufpr.br
The mitigation of pollution released to the environment originating from industrial sector has been the
aim of all policy-makers. Among heavy industries, oil refineries and lime industries have been identified
as large emitters of a wide variety of pollutants. Air pollution caused by such industries has become a
serious problem with potential effects to human health, especially in developing countries. In
metropolitan region of Curitiba, South of Brazil, a correlation has been shown between the lime
production and the number of persons who need respiratory treatment in a local hospital, indicating that
the lime industries can cause deleterious health effects in the exposed population. Although this concern
is controversial, petroleum refinery has been also linked to some adverse health effects for people living
nearby. Apart from home, school is the most important indoor environment for children and there is
increasing concern about the school environment and its impact on health, also in developing countries
where the prevalence of pollution is higher. As most of the children spend more than one third of their
time in schools, hence it is critical to evaluate the particulate matter level in such complex environment.
Size segregated aerosol samples were collected for analyses of bulk and single particle elemental and
molecular compositions. They were analysed by electron probe micro-analysis, utilising facilities for lowZ element determination, and by energy-dispersive x-ray fluorescence, to investigate the elemental
composition of individual particles and bulk samples, and by micro Raman spectrometry, to elucidate the
molecular composition. Results are interpreted separately and as a whole with the specific aim of
identifying compounds that could affected the health the students. In view of the chemical composition
and size distribution of the aerosol particles, local deposition efficiencies in the children respiratory
system were calculated, revealing the deposition of particles at extrathoracic, tracheobronchial and
pulmonary levels.
Financial support: CNPq
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location information, whereas proper results are only
achieved by the use of active latency measurements.
This paper presents an advanced approach for an
accurate and self-optimizing model for location
determination, including identification of optimized
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estimated target location requires a sophisticated
strategy to identify the correct position. We present
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