2 resultados para ARM, Intensity, per unit mass
em Queensland University of Technology - ePrints Archive
Resumo:
Materials consisting of anatase linked to Laponite particles were synthesized by the reaction of TiOSO4 with Laponite, and were used for the degradation of pesticides. All these materials were characterized by XRD, FTIR, Raman, TEM, specific surface area and porosity determinations. Based on the amount of photoactive phase per unit mass of the clay mineral, not based on the total weight of the catalysts, these porous catalysts were displaying a high degradation rate than commercial P25. The TiO2 immobilized clay mineral catalysts can sediment in few minutes and could be readily separated out from a slurry system after the photocatalytic reaction. Settling properties of these catalysts are enormously high in aqueous media in contrast to P25.
Resumo:
A technique for analysing exhaust emission plumes from unmodified locomotives under real world conditions is described and applied to the task of characterizing plumes from railway trains servicing an Australian shipping port. The method utilizes the simultaneous measurement, downwind of the railway line, of the following pollutants; particle number, PM2.5 mass fraction, SO2, NOx and CO2, with the last of these being used as an indicator of fuel combustion. Emission factors are then derived, in terms of number of particles and mass of pollutant emitted per unit mass of fuel consumed. Particle number size distributions are also presented. The practical advantages of the method are discussed including the capacity to routinely collect emission factor data for passing trains and to thereby build up a comprehensive real world database for a wide range of pollutants. Samples from 56 train movements were collected, analyzed and presented. The quantitative results for emission factors are: EF(N)=(1.7±1)×1016 kg-1, EF(PM2.5)= (1.1±0.5) g·kg-1, EF(NOx)= (28±14) g·kg-1, and EF(SO2 )= (1.4±0.4) g·kg-1. The findings are compared with comparable previously published work. Statistically significant (p<α, α=0.05) correlations within the group of locomotives sampled were found between the emission factors for particle number and both SO2 and NOx.