DOI: 10.1016/j.atmosenv.2015.01.017
Scopus记录号: 2-s2.0-84921873608
论文题名: Mobile monitoring for mapping spatial variation in urban air quality: Development and validation of a methodology based on an extensive dataset
作者: Van den Bossche J ; , Peters J ; , Verwaeren J ; , Botteldooren D ; , Theunis J ; , De Baets B
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 105 起始页码: 148
结束页码: 161
语种: 英语
英文关键词: Black carbon
; High resolution
; Mapping
; Mobile monitoring
; Spatial variation
; Urban air quality
Scopus关键词: Carbon
; Data handling
; Image resolution
; Mapping
; Uncertainty analysis
; Black carbon
; High resolution
; Mobile monitoring
; Spatial variations
; Urban air quality
; Air quality
; black carbon
; air quality
; black carbon
; data processing
; data set
; model validation
; pollution monitoring
; spatial resolution
; spatial variation
; urban atmosphere
; aeroflex
; air monitor
; air monitoring
; air pollutant
; air quality
; Article
; comparative study
; data processing
; geographic mapping
; measurement precision
; methodology
; priority journal
; quality control
; spatiotemporal analysis
; urban area
; validation study
; 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: Mobile monitoring is increasingly used as an additional tool to acquire air quality data at a high spatial resolution. However, given the high temporal variability of urban air quality, a limited number of mobile measurements may only represent a snapshot and not be representative. In this study, the impact of this temporal variability on the representativeness is investigated and a methodology to map urban air quality using mobile monitoring is developed and evaluated.A large set of black carbon (BC) measurements was collected in Antwerp, Belgium, using a bicycle equipped with a portable BC monitor (micro-aethalometer). The campaign consisted of 256 and 96 runs along two fixed routes (2 and 5km long). Large gradients over short distances and differences up to a factor of 10 in mean BC concentrations aggregated at a resolution of 20m are observed. Mapping at such a high resolution is possible, but a lot of repeated measurements are required. After computing a trimmed mean and applying background normalisation, depending on the location 24-94 repeated measurement runs (median of 41) are required to map the BC concentrations at a 50m resolution with an uncertainty of 25%. When relaxing the uncertainty to 50%, these numbers reduce to 5-11 (median of 8) runs. We conclude that mobile monitoring is a suitable approach for mapping the urban air quality at a high spatial resolution, and can provide insight into the spatial variability that would not be possible with stationary monitors. A careful set-up is needed with a sufficient number of repetitions in relation to the desired reliability and spatial resolution. Specific data processing methods such as background normalisation and event detection have to be applied. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81947
Appears in Collections: 气候变化事实与影响
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作者单位: VITO - Flemish Institute for Technological Research, Mol, Belgium; KERMIT, Dept. of Mathematical Modelling, Statistics and Bioinformatics, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium; Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium
Recommended Citation:
Van den Bossche J,, Peters J,, Verwaeren J,et al. Mobile monitoring for mapping spatial variation in urban air quality: Development and validation of a methodology based on an extensive dataset[J]. Atmospheric Environment,2015-01-01,105