TICLab Research Laboratory, International University of Rabat, Rabat 11103, Morocco.
ENSIAS, Mohammed V University in Rabat, Rabat 11103, Morocco.
Sensors (Basel). 2020 Feb 13;20(4):998. doi: 10.3390/s20040998.
MoreAir is a low-cost and agile urban air pollution monitoring system. This paper describes the methodology used in the development of this system along with some preliminary data analysis results. A key feature of MoreAir is its innovative sensor deployment strategy which is based on mobile and nomadic sensors as well as on medical data collected at a children's hospital, used to identify urban areas of high prevalence of respiratory diseases. Another key feature is the use of machine learning to perform prediction. In this paper, Moroccan cities are taken as case studies. Using the agile deployment strategy of MoreAir, it is shown that in many Moroccan neighborhoods, road traffic has a smaller impact on the concentrations of particulate matters (PM) than other sources, such as public baths, public ovens, open-air street food vendors and thrift shops. A geographical information system has been developed to provide real-time information to the citizens about the air quality in different neighborhoods and thus raise awareness about urban pollution.
更多空气是一个低成本和灵活的城市空气污染监测系统。本文描述了该系统开发过程中使用的方法,以及一些初步的数据分析结果。更多空气的一个关键特点是其创新的传感器部署策略,该策略基于移动和游牧传感器以及儿童医院收集的医疗数据,用于识别呼吸道疾病高发的城市区域。另一个关键特点是使用机器学习进行预测。本文以摩洛哥城市为例进行研究。利用更多空气的灵活部署策略,可以看出在许多摩洛哥社区,道路交通对颗粒物(PM)浓度的影响小于其他来源,如公共浴室、公共烤箱、露天街头食品摊贩和旧货店。还开发了一个地理信息系统,为市民提供不同社区的空气质量实时信息,从而提高对城市污染的认识。