DIAGNOSIS OF AIR POLLUTION IN AREAS WITHOUT A CONVENTIONAL AIR QUALITY MONITORING NETWORK: A STUDY IN A SMALL CITY OF PARANA, BRAZIL
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Citações na Scopus
Tipo de produção
article
Data de publicação
2017
Título da Revista
ISSN da Revista
Título do Volume
Editora
INTERCIENCIA
Autores
RIBEIRO, Andreza Portella
FERREIRA, Angelica Baganha
AQUINO, Simone
RAMOS, Heidy Rodriguez
KNIESS, Claudia Terezinha
QUARESMA, Cristiano Capellani
SANTOS, Jose Osman dos
SAIKI, Mitiko
Citação
INTERCIENCIA, v.42, n.11, p.767-773, 2017
Resumo
Public management recognizes the importance of air quality management programs as a way of monitoring potentially polluting activities. An alternative to monitoring air quality in regions with limited financial resources, as indicated by the World Health Organization, is the use of biological monitoring with plants. The objective of this work is to carry out a diagnosis of atmospheric pollution with the application of a biological low-cost method. The study was conducted in Sao Mateus do Sul, Parana, Brasil, a city that which hosts several schist industries. Thebiological monitoring was used to estimate the atmospheric contamination from mining activities. The contents of 12 chemical elements in tree bark samples were analyzed. In order to interpret the results, geostatistical tools were used in combination with the data about respiratory diseases, registered in the Unified Health System (secondary data). Iron, sulfur and silicon were the elements that presented the highest average concentrations, much higher than the control region. The results reinforce that the main source of these elements is the mining activity in Sao Mateus do Sul, and the regions with the highest incidence of respiratory diseases coincided with regions where the levels of pollutants were higher. With this proposal, health authorities can request the biological the monitoring of the most critical points of pollutant emitters, analyze the living conditions of the population and improve the performance of health and sustainability indicators in the surroundings of mining industries.
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Referências
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