Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?
Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?
复制标题
DOI：
10.1016/j.envint.2016.12.007
复制
发表时间：
2017-02-01
影响因子：
11.8
通讯作者：
Bartonova, Alena
中科院分区：
文献类型：
--
作者：
Castell, Nuria;Dauge, Franck R.;Bartonova, Alena
低成本、用户友好和非常紧凑的空气污染平台的出现使高空间分辨率的观测能够接近实时，并为同时加强现有监测系统以及让公民参与积极的环境监测提供了新的机会。这为评估人类暴露在空气污染中提供了一套全新的能力。然而，这些平台产生的数据往往质量有问题。我们对一个商用低成本传感器平台的24个相同单元与CEN(欧洲标准化组织)参考分析仪进行了详尽的评估，评估了它们随时间和一系列环境条件的测量能力。我们的结果表明，它们的性能在空间和时间上是不同的，因为它取决于大气成分和气象条件。研究结果表明，传感器节点的性能因单元不同而不同，因此有必要在使用前对每个节点的数据质量进行检查。通常，在营销这些平台之前，对于如何测试此类传感器节点并确保足够的性能缺乏指导。我们已经实施和测试了不同的指标，以评估传感器是否可以用于需要高精度(即，满足空气质量立法、流行病学研究中定义的数据质量目标)或较低精度(例如，出于提高意识等目的，在粗略范围内表示污染水平)的应用。数据质量是一个相关的问题，特别是在公民科学应用中，公民正在收集和解释数据。总体而言，尽管低成本平台出于监管或健康目的的准确性较低，但它们可以提供有关观测到的空气质量的相对和汇总信息。(C)2016年提交人。由爱思唯尔有限公司出版。这是一篇在CC许可下的开放获取文章。
The emergence of low-cost, user-friendly and very compact air pollution platforms enable observations at high spatial resolution in near-real-time and provide new opportunities to simultaneously enhance existing monitoring systems, as well as engage citizens in active environmental monitoring. This provides a whole new set of capabilities in the assessment of human exposure to air pollution. However, the data generated by these platforms are often of questionable quality.We have conducted an exhaustive evaluation of 24 identical units of a commercial low-cost sensor platform against CEN (European Standardization Organization) reference analyzers, evaluating their measurement capability over time and a range of environmental conditions. Our results show that their performance varies spatially and temporally, as it depends on the atmospheric composition and the meteorological conditions. Our results show that the performance varies from unit to unit, which makes it necessary to examine the data quality of each node before its use.In general, guidance is lacking on how to test such sensor nodes and ensure adequate performance prior to marketing these platforms. We have implemented and tested diverse metrics in order to assess if the sensor can be employed for applications that require high accuracy (i.e., to meet the Data Quality Objectives defined in air quality legislation, epidemiological studies) or lower accuracy (Le., to represent the pollution level on a coarse scale, for purposes such as awareness raising).Data quality is a pertinent concern, especially in citizen science applications, where citizens are collecting and interpreting the data. In general, while low-cost platforms present low accuracy for regulatory or health purposes they can provide relative and aggregated information about the observed air quality. (C) 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.