Road dust emission inventory and its spatial-temporal distribution characteristics in Xining
Based on the activity level and other related data obtained from field sampling and investigating,the road dust emission inventory in Xining City in 2018 was established by the emission factor method.The spatial distribution of 3 km×3 km was carried out using ArcGIS,its spatiotemporal distribution characteristics were analyzed,and the uncertainty analysis of road dust inventory was estimated using Monte Carlo simulation.The results showed that in 2018,the total emissions of PM2.5 and PM10 from road dust in Xining City were 1904.10 t and 8563.09 t,and the contribution ratios of the national highway were the highest,41.79％and 39.74％,respectively.The main emission area was Datong County,with contribution ratios of 36.32％and 35.47％.Road dust emissions varied from month to month throughout the year,with the highest emissions occurring in June.The Monte Carlo simulation results showed that within the probability distribution range of 95％,the uncertainty ranges of PM2.5 and PM10 of road dust in Xining City in 2018 were-26.49％—51.11％and-30.14％—30.06％.
road dustemission inventoryspace-time allocationuncertainty analysisXining City
NETL
NSTL
万方数据
