Evaluación de la capacidad de retención de material particulado atmosférico por parte del arbolado urbano empleando la metodología Ufore

Abstract

fied, and modeling in which the leaf area index (LAI) and the percentage of tree cover were varied in six study areas in the city of Bogota. It was identified that on average the influence of vegetation on pollution was positive but low (0.0665%) for PM10 and (0.0393%) for PM2.5, due to the low average percentage of tree cover (17.33%). Within the study, the CAR station obtained the best PM removal results in the baseline scenario (EB-CAU-IAF) with a removal of 0.0348 Ton.Year-1 for PM10 and 0.0122 Ton.Year-1 for PM2.5. Similarly, increasing the number of trees in (EA-CAU-IAF) resulted in a removal of 0.0532 Ton.Year-1 for PM10 and 0.0186 Ton.Year-1 for PM2.5. By decreasing the number of individuals and the IAF (ED-CAU-IAF) the station obtained a removal of 0.0155 Ton.Year-1 of PM10 and 0.0054 Ton.Year-1 of PM2.5. The maximum removal value was presented in the EAB-CAU-IAF, in which the urban tree coverage was increased 8 times with respect to the base scenario coverage, obtaining an increase in PM removal of 919.2%. Additionally, it was identified that the variables with the greatest influence on PM removal were the leaf area index and PM concentrations.