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开发部署在谷歌街景车上的空气传感器的性能评估协议。

Development of a Performance Evaluation Protocol for Air Sensors Deployed on a Google Street View Car.

机构信息

South Coast Air Quality Management District, Diamond Bar, California 91765, United States.

出版信息

Environ Sci Technol. 2021 Feb 2;55(3):1477-1486. doi: 10.1021/acs.est.0c05955. Epub 2021 Jan 15.

DOI:10.1021/acs.est.0c05955
PMID:33451249
Abstract

Performance evaluation studies of low-cost sensors (LCS) measuring air pollutants have been conducted by academic and governmental groups for stationary applications. In contrast, evaluation protocols are nonexistent for LCS used in mobile deployments, though LCS are used in this manner by research groups and may be employed to complement regulatory directives for community monitoring. Mobile measurements with LCS are a nascent but growing use-case, and questions of data quality will become increasingly important. The South Coast Air Quality Management District's Air Quality Sensor Performance Evaluation Center has developed the first evaluation protocol in which LCS are compared to reference- or research-grade instruments while deployed on a ground-based mobile platform. LCS are assessed in test scenarios of various degrees of environmental control, ranging from placement in a controlled flow sampling duct to unsheltered mounting on a vehicle rooftop. The testing procedures aim to quantify the performance of LCS and the effects of sensor siting, orientation, and vehicle velocity, the results of which can guide users on appropriate LCS and configurations for their applications. Unexpected performance effects have been revealed through pilot-testing of this evaluation protocol that would likely have not been known from stationary field and laboratory testing.

摘要

学术和政府团体已经对用于固定应用的低成本传感器 (LCS) 进行了测量空气污染物的性能评估研究。相比之下,用于移动部署的 LCS 则没有评估协议,尽管研究小组以这种方式使用 LCS,并且可能被用于补充社区监测的法规指令。使用 LCS 的移动测量是一个新兴但不断发展的用例,数据质量问题将变得越来越重要。南海岸空气质量管理区的空气质量传感器性能评估中心已经开发了第一个评估协议,其中将 LCS 与参考或研究级仪器进行比较,同时部署在基于地面的移动平台上。LCS 在不同程度环境控制的测试场景中进行评估,范围从放置在受控流量采样管道中到在车辆屋顶上无遮蔽安装。测试程序旨在量化 LCS 的性能以及传感器位置、方向和车辆速度的影响,其结果可以指导用户为其应用选择合适的 LCS 和配置。通过对该评估协议的初步测试揭示了一些意想不到的性能影响,如果仅从固定现场和实验室测试中,这些影响可能不会被发现。

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