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| DOI | 10.1016/j.atmosenv.2019.117087 |
| Assessment of mean annual NO2 concentration based on a partial dataset | |
| Jurado X.; Reiminger N.; Vazquez J.; Wemmert C.; Dufresne M.; Blond N.; Wertel J. | |
| 发表日期 | 2020 |
| ISSN | 1352-2310 |
| 卷号 | 221 |
| 英文摘要 | NO2 is a pollutant harmful to both health and the environment. The European Union and the World Health Organization have developed guidelines in terms of pollutant. The value of 40 μg/m3 is set by both entities as the annual mean NO2 concentration not to be exceeded to prevent risks for human health. To assess this given value, yearlong in situ measurements are required. However, sometimes only partial data are available, such as having only NOx (NO + NO2) information, on the one hand, and, on the other hand, brief NO2 measurements performed over few months. To overcome the first hurdle, several methods exist in the literature to transform NOx data into NO2 data. The method of Derwent and Middleton is the most appropriate for France with less than 8% of deviation and even less deviation when considering rural and urban sites. For all values, NOx concentrations behave as expected with higher concentrations in autumn and winter than in spring and summer. However, for NO2 this trend changes around 80 μg/m³ for which the spring and summer values are higher. Therefore, to maximize measurements to assess an upper limit on annual NO2 concentration over a short period of time, those measurements should be done in winter if an annual concentration of less than 80 μg/m3 is expected, otherwise they should carry out in summer. To tackle the second issue, a second order polynomial approach is built on a Paris dataset covering years between 2013 and 2017 to determine annual mean concentrations with monthly mean concentrations and gives an overall error of 10%. The law built on Paris was then tested on several regions in France for the same period and resulted in predicted values with a mean error of about 15% compared to the measured ones. In the end, the presented methodology allows covering twelve times more ground with a single NO2 or NOx sensor with an acceptable error. © 2019 Elsevier Ltd |
| 关键词 | Air pollutionAnnual concentration assessmentMonthly variationsNitrogen oxidesSeasonal variations |
| 语种 | 英语 |
| scopus关键词 | Air pollution; Errors; Health; Health risks; Pollution; Urban growth; Annual concentration assessment; In-situ measurement; Mean concentrations; Monthly variations; Rural and urban; Seasonal variation; Second-order polynomial; World Health Organization; Nitrogen oxides; nitrogen dioxide; assessment method; atmospheric pollution; concentration (composition); European Union; health risk; nitrous oxide; public health; seasonal variation; World Health Organization; Article; autumn; France; heating; priority journal; spring; summer; traffic; winter; France |
| 来源期刊 | ATMOSPHERIC ENVIRONMENT
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| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/249493 |
| 作者单位 | AIR&D, Illkirch-Graffenstaden67400, France; ICUBE Laboratory, CNRS/University of StrasbourgStrasbourg 67000, France; LIVE Laboratory, CNRS/University of StrasbourgStrasbourg 67000, France |
| 推荐引用方式 GB/T 7714 | Jurado X.,Reiminger N.,Vazquez J.,et al. Assessment of mean annual NO2 concentration based on a partial dataset[J],2020,221. |
| APA | Jurado X..,Reiminger N..,Vazquez J..,Wemmert C..,Dufresne M..,...&Wertel J..(2020).Assessment of mean annual NO2 concentration based on a partial dataset.ATMOSPHERIC ENVIRONMENT,221. |
| MLA | Jurado X.,et al."Assessment of mean annual NO2 concentration based on a partial dataset".ATMOSPHERIC ENVIRONMENT 221(2020). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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