DOI: 10.1016/j.atmosenv.2017.04.008
Scopus记录号: 2-s2.0-85018501141
论文题名: Influence of wind-speed on short-duration NO2 measurements using Palmes and Ogawa passive diffusion samplers
作者: Masey N ; , Gillespie J ; , Heal M ; R ; , Hamilton S ; , Beverland I ; J
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 160 起始页码: 70
结束页码: 76
语种: 英语
英文关键词: Air pollution
; Ogawa
; Palmes
; Passive samplers
; Uptake rates
Scopus关键词: Absorption
; Air pollution
; Diffusion
; Nitrogen oxides
; Speed
; Stainless steel
; Urban growth
; Ogawa
; Palmes
; Passive diffusion samplers
; Passive samplers
; Personal exposure monitoring
; Relative standard deviations
; Uptake rate
; Wind speed variations
; Wind
; nitrogen dioxide
; stainless steel
; accuracy assessment
; atmospheric pollution
; concentration (composition)
; diffusion
; nitrogen dioxide
; nutrient uptake
; pollution exposure
; sampler
; wind velocity
; absorbent pad
; air pollution
; Article
; chemoluminescence
; controlled study
; diffusion
; humidity
; limit of detection
; measurement
; monitoring
; priority journal
; sampling
; United Kingdom
; wind
; Glasgow [Scotland]
; Scotland
; United Kingdom
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: We assessed the precision and accuracy of nitrogen dioxide (NO2) concentrations over 2-day, 3-day and 7-day exposure periods measured with the following types of passive diffusion samplers: standard (open) Palmes tubes; standard Ogawa samplers with commercially-prepared Ogawa absorbent pads (Ogawa[S]); and modified Ogawa samplers with absorbent-impregnated stainless steel meshes normally used in Palmes tubes (Ogawa[P]). We deployed these passive samplers close to the inlet of a chemiluminescence NO2 analyser at an urban background site in Glasgow, UK over 32 discrete measurement periods. Duplicate relative standard deviation was <7% for all passive samplers. The Ogawa[P], Ogawa[S] and Palmes samplers explained 93%, 87% and 58% of temporal variation in analyser concentrations respectively. Uptake rates for Palmes and Ogawa[S] samplers were positively and linearly associated with wind-speed (P < 0.01 and P < 0.05 respectively). Computation of adjusted uptake rates using average wind-speed observed during each sampling period increased the variation in analyser concentrations explained by Palmes and Ogawa[S] estimates to 90% and 92% respectively, suggesting that measurements can be corrected for shortening of diffusion path lengths due to wind-speed to improve the accuracy of estimates of short-term NO2 exposure. Monitoring situations where it is difficult to reliably estimate wind-speed variations, e.g. across multiple sites with different unknown exposures to local winds, and personal exposure monitoring, are likely to benefit from protection of these sampling devices from the effects of wind, for example by use of a mesh or membrane across the open end. The uptake rate of Ogawa[P] samplers was not associated with wind-speed resulting in a high correlation between estimated concentrations and observed analyser concentrations. The use of Palmes meshes in Ogawa[P] samplers reduced the cost of sampler preparation and removed uncertainty associated with the unknown manufacturing process for the commercially-prepared collection pads. © 2017 The Authors Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82705
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Civil and Environmental Engineering, University of Strathclyde, James Weir Building, 75 Montrose Street, Glasgow, United Kingdom; School of Chemistry, University of Edinburgh, Joseph Black Building, David Brewster Road, Edinburgh, United Kingdom; Ricardo Energy and Environment, 18 Blythswood Square, Glasgow, United Kingdom
Recommended Citation:
Masey N,, Gillespie J,, Heal M,et al. Influence of wind-speed on short-duration NO2 measurements using Palmes and Ogawa passive diffusion samplers[J]. Atmospheric Environment,2017-01-01,160