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High spatial resolution IoT based air PM measurement system
Environmental and Ecological Statistics ( IF 3.8 ) Pub Date : 2021-04-12 , DOI: 10.1007/s10651-021-00494-4
Ebru İçöz , Fasih M. Malik , Kutay İçöz

Air pollution is one of the global problems of the current era. According to World Health Organization more than 80% of the people living in metropolitan areas breathe air which exceeds the guideline limits. Particulate matter, the mixture of liquid and solid particles having diameters less than 10 μm, is one of the important pollutants in the air. The main source of the Particulate matter is mostly burning reactions associated with industry, vehicles and homes. Several studies have shown the lethal impact of particulate matter to public health and environment. The rise of particulate matter amount in air has been linked to several health problems such as not only respiratory diseases but also mortality in infants and heart attacks. Currently, bulky stations which are high-cost and have limited spatial resolution are used to monitor the air quality. In this study we developed an alternative particulate matter measurement system which is portable and low-cost (less than 200 USD) and also integrated with cloud computing. The system allows real time distant monitoring of PM particles with high spatial resolution (meter range). The developed sensor system is able to provide air quality data in correlation with the existing stations (R2 = 0.87). The statistical comparison between the developed system and the reference methods revealed that two systems produced statistically equal results in detecting the variations of the particulate matter.



中文翻译:

基于高空间分辨率物联网的空气PM测量系统

空气污染是当前时代的全球性问题之一。根据世界卫生组织的统计,居住在大都市地区的人们中有80%以上的人呼吸的空气超过了指南的限制。直径小于10μm的液体和固体颗粒的混合物,是空气中的重要污染物之一。颗粒物的主要来源主要是与工业,车辆和房屋有关的燃烧反应。多项研究表明,颗粒物对公共卫生和环境具有致命的影响。空气中颗粒物数量的增加与一些健康问题有关,例如呼吸系统疾病,婴儿死亡率和心脏病发作。现在,昂贵且空间分辨率有限的大型车站被用来监测空气质量。在这项研究中,我们开发了一种替代性的颗粒物测量系统,该系统便携式且成本低廉(不到200美元),并且还与云计算集成。该系统允许以高空间分辨率(米范围)实时远程监测PM颗粒。研发的传感器系统能够提供与现有站点相关的空气质量数据(R2  = 0.87)。所开发的系统与参考方法之间的统计比较表明,两个系统在检测颗粒物的变化方面产生了统计上相等的结果。

更新日期:2021-04-12
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