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Data set from large-scale citizen science provides high-resolution nitrogen dioxide values for enhancing community knowledge and collective action to related health issues

机译:来自大规模公民科学的数据提供了高分辨率的二氧化氮值以提高社区知识和与相关健康问题的集体行动

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摘要

Dataset from a large-scale air quality citizen science campaign is presented (xAire, 725 measurements, see Ref. [1]). A broad partnership with 1650 citizens from communities around 18 primary schools across Barcelona (Spain) provided the capacity to obtain unprecedented high-resolution NO2 levels which had in turn the capacity to provide an updated asthma Health Impact Assessment. Nitrogen dioxide levels being obtained in a 4-week period during February and March 2018 with Palmes’ diffusion samplers are herein provided. Dataset includes NO2 levels from outdoor locations n=671, playgrounds n=31, and inside school buildings (mostly classrooms) n=23. Data was calibrated and annualized with concentration levels from automatic reference stations. It is shown that NO2 levels vary considerably with at some cases very high levels. Strong differences might also however be explained by the fact that ambient air pollution is reduced exponentially with distance from an emission source like traffic meaning that two samplers located about 100 m away can measure a tenfold difference concentration level.
机译:提出了大型空气质量公民科学活动的数据集(Xaire,725次测量,参见参考文献[1])。与巴塞罗那(西班牙)围绕巴塞罗那(西班牙)的18名小学约有1650名公民的广泛伙伴关系提供了获得前所未有的高分辨率No2水平的能力,该级别依据提供更新的哮喘健康影响评估。本文提供了在2018年2月和2018年3月的4周内获得的二氧化氮水平,本文提供了棕榈泥的扩散取样器。数据集包括来自室外位置的NO2级别n = 671,游乐场n = 31,内部学校建筑物(大多数教室)n = 23。数据被校准并使用自动参考站具有浓度水平的年化。结果表明,在某些情况下,No2水平随着很高的水平而变化很大。然而,也可以解释强烈的差异,即环境空气污染与距离排放来源的距离相当于交流,这意味着大约100米距离的两个采样器可以测量十倍差分浓度水平。

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