Deriving high-resolution urban air pollution maps using mobile sensor nodes
Deriving high-resolution urban air pollution maps using mobile sensor nodes
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DOI：
10.1016/j.pmcj.2014.11.008
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发表时间：
2015-01-01
影响因子：
4.3
通讯作者：
Thiele, Lothar
中科院分区：
文献类型：
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作者：
Hasenfratz, David;Saukh, Olga;Thiele, Lothar
城市空气污染的最新信息对于环保机构评估空气质量并及时向公众提供建议至关重要。特别是，超细颗粒物（UFP）在城市环境中广泛分布，可能对人类健康产生严重影响。然而，由于缺乏对飞行点时空分布的了解，妨碍了对这些影响的深入评价。在本文中，我们分析了一个最大的空间分辨的UFP数据集公开今天包含超过50万测量。我们收集了两年多的测量使用移动的传感器节点安装在公共交通工具的顶部在瑞士的苏黎世市。基于这些数据，我们开发了土地利用回归模型，以创建具有100 m x 100 m高空间分辨率的污染图。我们比较了不同时间尺度下的衍生模型的准确性，并观察到次周时间分辨率的地图准确性迅速下降。为了解决这个问题，我们提出了一种新的建模方法，将过去的测量与元数据注释到建模过程中。通过这种方式，我们实现了降低26%的根均方误差-一个标准的度量，以评估空气质量模型的准确性-污染地图与半日时间分辨率。我们相信，我们的研究结果可以帮助流行病学家更好地了解与UFP相关的不良健康影响，并作为详细的实时污染评估的垫脚石。(C)2014爱思唯尔有限公司版权所有。
Up-to-date information on urban air pollution is of great importance for environmental protection agencies to assess air quality and provide advice to the general public in a timely manner. In particular, ultrafine particles (UFPs) are widely spread in urban environments and may have a severe impact on human health. However, the lack of knowledge about the spatio-temporal distribution of UFPs hampers profound evaluation of these effects. In this paper, we analyze one of the largest spatially resolved UFP data set publicly available today containing over 50 million measurements. We collected the measurements throughout more than two years using mobile sensor nodes installed on top of public transport vehicles in the city of Zurich, Switzerland. Based on these data, we develop land-use regression models to create pollution maps with a high spatial resolution of 100 m x 100 m. We compare the accuracy of the derived models across various time scales and observe a rapid drop in accuracy for maps with sub-weekly temporal resolution. To address this problem, we propose a novel modeling approach that incorporates past measurements annotated with metadata into the modeling process. In this way, we achieve a 26% reduction in the root-mean-square error - a standard metric to evaluate the accuracy of air quality models - of pollution maps with semi-daily temporal resolution. We believe that our findings can help epidemiologists to better understand the adverse health effects related to UFPs and serve as a stepping stone towards detailed real-time pollution assessment. (C) 2014 Elsevier B.V. All rights reserved.