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小型城市区域内空气质量监测站对颗粒物(PM)的代表性及源解析

Representativeness of an air quality monitoring station for PM and source apportionment over a small urban domain.

作者信息

Yatkin S, Gerboles M, Belis C A, Karagulian F, Lagler F, Barbiere M, Borowiak A

机构信息

European Commission-Joint Research Centre, Directorate for Energy, Transport and Climate, 21027, Ispra, Italy.

出版信息

Atmos Pollut Res. 2020 Feb;11(2):225-233. doi: 10.1016/j.apr.2019.10.004.

DOI:10.1016/j.apr.2019.10.004
PMID:32025185
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6988503/
Abstract

In this study, PM concentrations together with the water-soluble ionic compounds and total elements were simultaneously measured at 16 sites in the city of Varese located in Northern Italy within a domain of 2 × 2 km. The center point of this domain consisted of an existing urban air quality monitoring station. The representativeness of the monitoring station for PM mass and chemical composition was estimated using a methodology relying on statistical/geostatistical analyses. Source apportionment by means of the Chemical Mass Balance (CMB) receptor model was also performed to evaluate the spatial distribution of source contribution throughout the domain. Very high soluble fraction was found for Cd, Sb, K and V, indicating the anthropogenic origin of those elements. The geostatistical analysis/mapping showed that the monitoring station captured the spatial variation of PM and most of the anthropogenic originated elements, e.g., As, Cd and V, whereas it did not captured the spatial patterns of the ones originated from both natural and anthropogenic sources, e.g., Na, Ni, Pb, K, Zn, Fe, Cr, and Ti. The CMB source contribution estimations in the monitoring station were at least 25% different from many sites of the domain for PM. The significant spatial variation in concentrations and source contribution estimates showed that the monitoring station could not be considered representative for the air quality monitoring studies with exposure assessment and source apportionment purposes in Varese.

摘要

在本研究中,在意大利北部瓦雷泽市一个2×2千米区域内的16个点位,同时测量了颗粒物(PM)浓度以及水溶性离子化合物和总元素含量。该区域的中心点设有一个现有的城市空气质量监测站。利用基于统计/地统计分析的方法,评估了该监测站对于PM质量和化学成分的代表性。还通过化学质量平衡(CMB)受体模型进行了源解析,以评估整个区域内源贡献的空间分布。发现镉、锑、钾和钒的可溶性分数非常高,表明这些元素源自人为活动。地统计分析/绘图显示,该监测站捕捉到了PM以及大多数人为源元素(如砷、镉和钒)的空间变化,而对于那些源自自然和人为双重来源的元素(如钠、镍、铅、钾、锌、铁、铬和钛),它并未捕捉到其空间格局。监测站内CMB源贡献估计值与该区域许多点位的PM源贡献估计值至少相差25%。浓度和源贡献估计值的显著空间变化表明,在瓦雷泽市,出于暴露评估和源解析目的的空气质量监测研究中,该监测站不能被视为具有代表性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0582/6988503/cc62994f8d9b/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0582/6988503/e31fdbd435eb/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0582/6988503/746467a368aa/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0582/6988503/9ecba4a53150/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0582/6988503/cc62994f8d9b/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0582/6988503/e31fdbd435eb/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0582/6988503/746467a368aa/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0582/6988503/9ecba4a53150/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0582/6988503/cc62994f8d9b/gr4.jpg

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本文引用的文献

1
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Sci Total Environ. 2016 Dec 15;573:27-38. doi: 10.1016/j.scitotenv.2016.08.011. Epub 2016 Aug 19.
2
Agreement of land use regression models with personal exposure measurements of particulate matter and nitrogen oxides air pollution.土地利用回归模型与颗粒物和氮氧化物空气污染个体暴露测量值的一致性。
Environ Sci Technol. 2013 Aug 6;47(15):8523-31. doi: 10.1021/es400920a. Epub 2013 Jul 12.
3
A computational fluid dynamic modelling approach to assess the representativeness of urban monitoring stations.
个人环境暴露与气道疾病的数字医疗
Yonsei Med J. 2022 Jan;63(Suppl):S1-S13. doi: 10.3349/ymj.2022.63.S1.
4
Chemical Composition and Source Apportionment of Wintertime Airborne PM in Changchun, Northeastern China.中国东北长春冬季大气可吸入颗粒物的化学成分及来源解析
Int J Environ Res Public Health. 2021 Apr 20;18(8):4354. doi: 10.3390/ijerph18084354.
一种评估城市监测站代表性的计算流体动力学建模方法。
Sci Total Environ. 2013 Jun 1;454-455:61-72. doi: 10.1016/j.scitotenv.2013.02.068. Epub 2013 Mar 26.
4
Mobile measurements and regression modeling of the spatial particulate matter variability in an urban area.城市地区空间颗粒物变异性的移动测量和回归建模。
Sci Total Environ. 2012 Nov 1;438:389-403. doi: 10.1016/j.scitotenv.2012.08.049. Epub 2012 Sep 28.
5
Kriged and modeled ambient air levels of benzene in an urban environment: an exposure assessment study.克里格法和模型化城市环境中苯的环境空气水平:一项暴露评估研究。
Environ Health. 2011 Mar 21;10:21. doi: 10.1186/1476-069X-10-21.
6
Ambient air pollutant measurement error: characterization and impacts in a time-series epidemiologic study in Atlanta.环境空气污染物测量误差:在亚特兰大进行的时间序列流行病学研究中的特征及影响。
Environ Sci Technol. 2010 Oct 1;44(19):7692-8. doi: 10.1021/es101386r.
7
An Optimal Spatial Sampling Design for Intra-Urban Population Exposure Assessment.用于城市内部人口暴露评估的最优空间采样设计
Atmos Environ (1994). 2009 Feb;43(5):1153. doi: 10.1016/j.atmosenv.2008.10.055.
8
Effects of instrument precision and spatial variability on the assessment of the temporal variation of ambient air pollution in Atlanta, Georgia.仪器精度和空间变异性对佐治亚州亚特兰大市环境空气污染时间变化评估的影响。
J Air Waste Manag Assoc. 2006 Jun;56(6):876-88. doi: 10.1080/10473289.2006.10464499.
9
Urban atmospheric pollution: personal exposure versus fixed monitoring station measurements.城市大气污染:个人暴露量与固定监测站测量值
Chemosphere. 2006 Sep;64(10):1722-9. doi: 10.1016/j.chemosphere.2006.01.011. Epub 2006 Feb 14.
10
Spatial variability of fine particle mass, components, and source contributions during the regional air pollution study in St. Louis.圣路易斯地区空气污染研究期间细颗粒物质量、成分及来源贡献的空间变异性
Environ Sci Technol. 2005 Jun 1;39(11):4172-9. doi: 10.1021/es049824x.