New air quality monitoring paradigm for Smart(er) Cities
Cities worldwide are seeking solutions to make their cities greener, healthier and more prosperous places to live and to mitigate climate change. Critical to this is ensuring that city air is clean, and that citizens, especially those with related health issues, can be informed and prepared for potential risks that can occur at a very local level. To succeed, smart cities need access to comprehensive air quality data that can enable smart, timely decision making.
Compact sensor networks complement existing monitoring
当前可用的参考级空气质量监控站提供了准确的数据，但是网络很少。新技术使得与紧凑的空气质量传感器相辅相成是可能的。这些新的空气质量传感器易于安装在灯杆，路灯或其他城市基础设施上。借助这些传感器，在一个城市中构建密集的数十个甚至数百个传感器的密集的补充空气质量网络在经济上是可行的。
Hyperlocal air quality data provides new benefits
通过将密集的空气质量测量数据与现代建模工具相结合，公共当局和私营部门可以访问高分辨率的空气质量数据和预测。该数据使创建有益于城市并最终使公共卫生的不同增值服务的创建。这种用于空气质量监测的新范式使城市能够在诸如：
- Health: Clean air routing alerts and avoiding local hotspots of particulate matter and toxic gases drive down the exposure to poor air quality. This results in direct savings from healthcare (e.g. asthma and COPD) and insurance costs, lower risks for premature disability, increases life expectancy and improves quality of life.
- Traffic management: Monitoring critical parameters such as PM2.5和不2验证清洁空气区的有效性。重新路由流量，以限制并防止违反空气质量限制的本地交通热点。
- 街道清洁：有效并有效地减轻街道灰尘事件，因为街头尘埃是PM的主要来源10.
- Infrastructure: Large residential, office and public complexes in cities are often located close to busy streets, motorways or other areas affected by polluted air. Air filtering and indoor air quality in these complexes can be optimized by taking into account local air quality.
