DOI: 10.1016/j.atmosenv.2014.04.013
Scopus记录号: 2-s2.0-84898882730
论文题名: Increasing the spatial resolution of air quality assessments in urban areas: A comparison of biomagnetic monitoring and urban scale modelling
作者: Hofman J ; , Lefebvre W ; , Janssen S ; , Nackaerts R ; , Nuyts S ; , Mattheyses L ; , Samson R
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 92 起始页码: 130
结束页码: 140
语种: 英语
英文关键词: Air pollution
; Antwerp
; Biomonitoring
; Modelling
; SIRM
; Urban
Scopus关键词: Air pollution
; Air quality
; Image resolution
; Models
; Monitoring
; Nitrogen oxides
; Pollution
; Urban planning
; Antwerp
; Atmospheric pollutants
; Biomonitoring
; High spatial resolution
; Multiple emission sources
; Pollutant concentration
; SIRM
; Urban
; Uncertainty analysis
; air quality
; assessment method
; atmospheric modeling
; atmospheric pollution
; concentration (composition)
; magnetic property
; monitoring
; nitrogen dioxide
; numerical model
; particulate matter
; pollutant source
; spatial resolution
; urban area
; urban morphology
; urban pollution
; air monitoring
; air pollutant
; air quality
; article
; Belgium
; biomagnetic monitoring
; land use
; methodology
; particulate matter
; plant leaf
; priority journal
; railway
; sampling
; urban area
; Antwerp [Belgium]
; Belgium
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: Increasing the spatial resolution of air quality assessments in urban environments is designated as a priority area within current research. Biomagnetic monitoring and air quality modelling are both methodologies able to provide information about the spatial variation of particulate pollutant levels within urban environments. This study evaluates both methods by comparing results of a biomagnetic monitoring campaign at 110 locations throughout Antwerp, Belgium, with modelled pollutant concentrations of PM10 and NO2. Due to the relation of biomagnetic monitoring with railway traffic, analyses were conducted for both all locations (n=110) and railway traffic excluded locations (n=67). While the general spatial variation, land use comparison and the relation with traffic intensity were comparable between the two applied methodologies, an overall bad agreement is obtained when the methodologies are correlated to each other. While no correlation was found between SIRM and PM10 results (p=0.75 for n=110 and p=0.68 for n=67), a significant but low (r≤0.33) correlation was found between SIRM and NO2 (p<0.01 for n=110 and p=0.04 for n=67). While biomagnetic monitoring and air quality modelling are both able to provide high spatial resolution information about urban pollutant levels, we need to take into account some considerations. While uncertainty in the biomagnetic monitoring approach might arise from the processes that determine leaf particulate deposition and the incorporation of multiple emission sources with diverging magnetic composition, air quality modelling remains an approximation of reality which implies its dependency on accurate emission factors, implication of atmospheric processes and representation of the urban morphology. Therefore, continuous evaluation of model performance against measured data is essential to produce reliable model results. Nevertheless, this study demonstrates that in addition to telemetric monitoring networks, the combination of both air quality modelling and biomagnetic monitoring is a valuable approach to provide insights into the variation of atmospheric pollutants in heterogeneous urban environments. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80855
Appears in Collections: 气候变化事实与影响
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作者单位: Laboratory of Environmental and Urban Ecology, Department of Bioscience Engineering, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium; VITO, Boeretang 200, 2400 Mol, Belgium
Recommended Citation:
Hofman J,, Lefebvre W,, Janssen S,et al. Increasing the spatial resolution of air quality assessments in urban areas: A comparison of biomagnetic monitoring and urban scale modelling[J]. Atmospheric Environment,2014-01-01,92