DOI: 10.1016/j.atmosenv.2013.11.005
Scopus记录号: 2-s2.0-84888419729
论文题名: A simple semi-empirical technique for apportioning the impact of roadways on air quality in an urban neighbourhood
作者: Elangasinghe M ; A ; , Dirks K ; N ; , Singhal N ; , Costello S ; B ; , Longley I ; , Salmond J ; A
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 83 起始页码: 99
结束页码: 108
语种: 英语
英文关键词: Background concentration
; Highway
; Semi-empirical modelling
; Urban air quality
Scopus关键词: Marine pollution
; Nitrogen oxides
; Particles (particulate matter)
; Pollution
; Air Pollution Modeling
; Background concentration
; Highway
; Pollutant concentration
; Semi-empirical
; Semi-empirical techniques
; Semiempirical models
; Urban air quality
; Air quality
; nitrogen oxide
; air quality
; atmospheric pollution
; concentration (composition)
; emission inventory
; empirical analysis
; model validation
; motorway
; neighborhood
; pollution monitoring
; public health
; time series
; traffic emission
; transportation system
; aerosol
; air monitor
; air pollutant
; air pollution
; air quality
; article
; circadian rhythm
; empiricism
; exhaust gas
; highway
; neighborhood
; New Zealand
; particulate matter
; priority journal
; reliability
; traffic and transport
; urban area
; Auckland
; New Zealand
; North Island
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Air pollution from the transport sector has a marked effect on human health, so isolating the pollutant contribution from a roadway is important in understanding its impact on the local neighbourhood. This paper proposes a novel technique based on a semi-empirical air pollution model to quantify the impact from a roadway on the air quality of a local neighbourhood using ambient records of a single air pollution monitor. We demonstrate the proposed technique using a case study, in which we quantify the contribution from a major highway with respect to the local background concentration in Auckland, New Zealand. Comparing the diurnal variation of the model-separated background contribution with real measurements from a site upwind of the highway shows that the model estimates are reliable. Amongst all of the pollutants considered, the best estimations of the background were achieved for nitrogen oxides. Although the multi-pronged approach worked well for predominantly vehicle-related pollutants, it could not be used effectively to isolate emissions of PM10 due to the complex and less predictable influence of natural sources (such as marine aerosols).The proposed approach is useful in situations where ambient records from an upwind background station are not available (as required by other techniques) and is potentially transferable to situations such as intersections and arterial roads. Applying this technique to longer time series could help to understand the changes in pollutant concentrations from the road and background sources for different emission scenarios, for different years or seasons. Modelling results also show the potential of such a hybrid semi-empirical models to contribute to our understanding of the physical parameters determining air quality and to validate emissions inventory data. © 2013 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80872
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: The University of Auckland, Private Bag 92019, Auckland, New Zealand; The National Institute of Water and Atmospheric Research Ltd., Private Bag 99940, Auckland 1149, New Zealand; Department of Chemical and Process Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka
Recommended Citation:
Elangasinghe M,A,, Dirks K,et al. A simple semi-empirical technique for apportioning the impact of roadways on air quality in an urban neighbourhood[J]. Atmospheric Environment,2014-01-01,83