Review of modelling air pollution from traffic at street-level - The state of the science.
作者： H. Forehead , N. Huynh
DOI: 10.1016/J.ENVPOL.2018.06.019
关键词:
摘要: Abstract Traffic emissions are a complex and variable cocktail of toxic chemicals. They the major source atmospheric pollution in parts cities where people live, commute work. Reducing exposure requires information about distribution nature emissions. Spatially temporally detailed data required, because both rate production composition vary significantly with time day local changes wind, traffic flow. Increasing computer processing power means that models can accept highly inputs fleet, fuels road networks. The state science simulate behaviour all individual vehicles on network, resolution second tens metres. chemistry simulated is also resolved, due to consideration multiple engine processes, fuel evaporation tyre wear. Good results be achieved commercially available open models. extent simulation usually limited by capacity; accuracy quality data. Recent studies have generated real time, using from novel sensing technologies intelligent systems (ITS). Increasingly, being combined spatially resolved demographic or epidemiological for targeted risk analyses.
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