The increasing availability of low-cost air quality sensors has led to novel sensing approaches. Distributed networks of low-cost sensors, together with data fusion and analytics, have enabled unprecedented, spatiotemporal resolution when observing the urban atmosphere. Several projects have demonstrated the potential of different approaches for high-resolution measurement networks ranging from static, low-cost sensor networks over vehicular and airborne sensing to crowdsourced measurements as well as ranging from a research-based operation to citizen science. Yet, sustaining the operation of such low-cost air quality sensor networks remains challenging because of the lack of regulatory support and the lack of an organizational framework linking these measurements to the official air quality network. This paper discusses the logical inclusion of lower-cost air quality sensors into the existing air quality network via a dynamic field calibration process, the resulting sustainable business models, and how this expansion can be self-funded.

中文翻译：

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商业模式视角下的城市空气质量高分辨率评估

低成本空气质量传感器的可用性不断提高，带来了新颖的传感方法。低成本传感器的分布式网络以及数据融合和分析功能，在观察城市大气时实现了空前的时空分辨率。几个项目已经证明了高分辨率测量网络的不同方法的潜力，从车载，机载传感的静态，低成本传感器网络到众包测量以及从基于研究的操作到公民科学，范围广泛。然而，由于缺乏监管支持以及缺乏将这些测量值与官方空气质量网络联系起来的组织框架，维持此类低成本空气质量传感器网络的运行仍然具有挑战性。