Towards comprehensive air quality management using low-cost sensors for pollution source apportionment
Towards comprehensive air quality management using low-cost sensors for pollution source apportionment
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DOI：
10.1038/s41612-023-00424-0
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发表时间：
2023-08
影响因子：
9
通讯作者：
Dimitrios Bousiotis;Gordon Allison;D. Beddows;R. Harrison;Francis D. Pope
中科院分区：
文献类型：
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作者：
Dimitrios Bousiotis;Gordon Allison;D. Beddows;R. Harrison;Francis D. Pope
成功的空气质量管理和控制不仅需要测量空气污染水平。它还需要关于空气污染的来源及其相对程度和重要性的信息，以计划和制定具有成本效益的控制措施。这篇论文为通过低成本技术更广泛和更全面地利用源解析提供了重要的突破。低成本传感器测量与正矩阵分解(PMF)和k均值聚类的统计方法一起，能够成功地精确定位和量化三个受监管的重要地点(一个建筑工地、一个采石场和一个路边)的主要污染源。评估了预期的污染水平，这取决于气象条件和时间变化。该分析为成功的空气质量管理和控制提供了至关重要的信息，而成本比以前低得多。对所用方法的优点和缺点进行了说明和讨论。
Successful air quality management and control not only requires measurements of air pollution levels. It also requires information on the sources of air pollution, and their relative magnitudes and importance, to plan and enact cost-effective control measures. This paper provides an important breakthrough towards the wider and more comprehensive use of source apportionment via low-cost techniques. Low-cost sensor measurements, along with the statistical methods of Positive Matrix Factorization (PMF) andk-means clustering, were able to successfully pinpoint and quantify the main sources of pollution in three regulatory important sites (a construction site, a quarry and a roadside). The anticipated levels of pollution, which were dependent on meteorological conditions and temporal variations, were assessed. The analysis provides information crucial for successful air quality management and control at a significantly lower cost than previously achieved. The strengths and weaknesses of the methodologies used are illustrated and discussed.