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Examination of pollution trends in Santiago de Chile with cluster analysis of PM"1"0 and Ozone data [An article from: Atmospheric Environment]
Book Details
PublisherElsevier
ISBN / ASINB000PAA7GW
ISBN-13978B000PAA7G5
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from Atmospheric Environment, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Because of the high levels of pollution that Santiago de Chile experiences every year in winter, the government has set up an air quality monitoring network. Information from this network is employed to alert people about the quality of air and to enforce several control strategies in order to limit pollution levels. The monitoring network has 8 stations that measure PM"1"0, carbon monoxide (CO), sulphur dioxide (SO"2), ozone (O"3) and meteorological parameters. Some stations also measure nitrogen mono- and dioxide (NO"x), fine particles (PM"2"."5) and carbon. In this study we have examined the PM"1"0 and O"3 data generated by this network in the year 2000 in order to determine the seasonal trends and spatial distribution of these pollutants over a year's period. The results show that concentration levels vary with the season, with PM"1"0 being higher in winter and O"3 in summer. All but one station, show a peak in PM"1"0 at 8:00 indicating that during the rush hour there is a strong influence from traffic, however, this influence is not seen during the rest of the day. In winter, the PM"1"0 maximum occurs at 24:00h in all stations but Las Condes. This maximum is related to decreased wind speed and lower altitude of the inversion layer. The fact that Las Condes station is at a higher altitude than the others and it does not show the PM"1"0 increase at night, suggest that the height of the inversion layer occurs at lower altitude. Cluster analysis was applied to the PM10 and O"3 data, and the results indicate that the city has four large sectors with similar pollution behavior. The fact that both pollutants have similar distribution is a strong indication that the concentration levels are primarily determined by the topographical and meteorological characteristics of the area and that pollution generated over the city is redistributed in four large areas that have similar meteorological and topographical conditions.
Description:
Because of the high levels of pollution that Santiago de Chile experiences every year in winter, the government has set up an air quality monitoring network. Information from this network is employed to alert people about the quality of air and to enforce several control strategies in order to limit pollution levels. The monitoring network has 8 stations that measure PM"1"0, carbon monoxide (CO), sulphur dioxide (SO"2), ozone (O"3) and meteorological parameters. Some stations also measure nitrogen mono- and dioxide (NO"x), fine particles (PM"2"."5) and carbon. In this study we have examined the PM"1"0 and O"3 data generated by this network in the year 2000 in order to determine the seasonal trends and spatial distribution of these pollutants over a year's period. The results show that concentration levels vary with the season, with PM"1"0 being higher in winter and O"3 in summer. All but one station, show a peak in PM"1"0 at 8:00 indicating that during the rush hour there is a strong influence from traffic, however, this influence is not seen during the rest of the day. In winter, the PM"1"0 maximum occurs at 24:00h in all stations but Las Condes. This maximum is related to decreased wind speed and lower altitude of the inversion layer. The fact that Las Condes station is at a higher altitude than the others and it does not show the PM"1"0 increase at night, suggest that the height of the inversion layer occurs at lower altitude. Cluster analysis was applied to the PM10 and O"3 data, and the results indicate that the city has four large sectors with similar pollution behavior. The fact that both pollutants have similar distribution is a strong indication that the concentration levels are primarily determined by the topographical and meteorological characteristics of the area and that pollution generated over the city is redistributed in four large areas that have similar meteorological and topographical conditions.
