%0 Journal Article
%T Aplica  o de regress o baseada no uso do solo para predizer a concentra  o de material particulado inal¨¢vel no munic¨ªpio de S o Paulo, Brasil Application of land use regression to predict the concentration of inhalable particular matter in S o Paulo city, Brazil
%A Mateus Habermann
%A Nelson Gouveia
%J Engenharia Sanitaria e Ambiental
%D 2012
%I Brazilian Association of Sanitary and Environmental Engineering
%X O estudo teve por objetivo construir um modelo de regress o baseada no uso do solo para predizer a concentra  o material particulado inal¨¢vel (MP10) no munic¨ªpio de S o Paulo, Brasil. O estudo se baseou na m¨¦dia de MP10 de 2007 de 9 esta  es de monitoramento. Obtiveram-se dados demogr¨¢ficos, vi¨¢rios e de uso do solo em c¨ªrculos conc¨ºntricos de 250 a 1.000 m para compor o modelo. Calculou-se regress o linear simples para selecionar as vari¨¢veis mais robustas e sem colinearidade. Quatro vari¨¢veis entraram no modelo de regress o m¨²ltipla. Somente tr¨¢fego leve em c¨ªrculos conc¨ºntricos <250 m permaneceu no modelo final, que explicou 63,8% da variancia de MP10. Verificou-se que o m¨¦todo de regress o baseada no uso do solo ¨¦ r¨¢pido, de f¨¢cil execu  o. Entretanto, este modelo se baseou em medi  es de MP10 de poucos locais. The study intended to develop a land use regression model to predict inhalable particulate matter (PM10) concentrations in S o Paulo, Brazil. The model was based on the 2007 average of PM10 available from 9 monitoring stations and demographic, roads and land use data in buffers of 250 to 1,000 m. Simple linear regression were used to select the more robust independent variables and those without collinearity. Four variables were selected for the multiple regression analysis. Only light traffic in buffers <250 m remained in the final model which explained 63.8% of the PM10variance.The land use regression approach is a quick and easy method to predict air pollution levels. However, our model was based on measurements of only a few sites.
%K polui  o do ar
%K exposi  o ambiental
%K material particulado
%K impacto ambiental
%K sa¨²de ambiental
%K air pollution
%K environmental exposure
%K particulate matter
%K environmental impact
%K environmental health
%U http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-41522012000200004