A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A geostatistical method for the analysis and prediction of air quality time series: application to the Aburrá Valley region
A geostatistical method was developed to analyze air pollution time series in the Aburrá Valley (Colombia) at different time scales (diurnal, weekly and yearly) and use this information for estimation of missing values or prediction purposes. The method was based on the calculation of omnidirectional semivariograms, by using time as coordinates in a geographical space, thus obtaining the air pollution variability associated to the different pollution cycles. The resulting semivariograms were valid until small lag distances. The kriging technique was afterwards applied for the estimation of missing data (interpolation) or the prediction of future events (extrapolation). The selected method was able to accurately capture the diurnal, weekly and monthly variability of PM10, PM2.5 and NO2 in the Aburrá Valley. Satisfactory results were obtained by using the method for the prediction of PM2.5 during days at which the Colombian Air Quality Norm was exceeded (Index of Agreement = 0.85; R2 = 0.55)
A geostatistical method for the analysis and prediction of air quality time series: application to the Aburrá Valley region
A geostatistical method was developed to analyze air pollution time series in the Aburrá Valley (Colombia) at different time scales (diurnal, weekly and yearly) and use this information for estimation of missing values or prediction purposes. The method was based on the calculation of omnidirectional semivariograms, by using time as coordinates in a geographical space, thus obtaining the air pollution variability associated to the different pollution cycles. The resulting semivariograms were valid until small lag distances. The kriging technique was afterwards applied for the estimation of missing data (interpolation) or the prediction of future events (extrapolation). The selected method was able to accurately capture the diurnal, weekly and monthly variability of PM10, PM2.5 and NO2 in the Aburrá Valley. Satisfactory results were obtained by using the method for the prediction of PM2.5 during days at which the Colombian Air Quality Norm was exceeded (Index of Agreement = 0.85; R2 = 0.55)
A geostatistical method for the analysis and prediction of air quality time series: application to the Aburrá Valley region
Baca Cabrera, Juan (author)
2016-11-11
Article (Journal)
Electronic Resource
English
Strategies for Medellin : Integrated development in the Colombian Aburrá Valley
| Online Contents | 2008
| British Library Online Contents | 2013