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Sensor-based Wireless Air Quality Monitoring Network (SWAQMN) - A smart tool for urban air quality management

机译:基于传感器的无线空气质量监控网络(SWAQMN) - 城市空气质量管理的智能工具

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An air quality monitoring network (AQMN) having the ability to provide high spatial resolution real-time information is one of the key tools for developing management strategies for air quality improvement. National Environmental Engineering Research Institute (CSIR-NEERI) has deployed a Sensor-based Wireless Air Quality Monitoring Network (SWAQMN) to monitor real-time particulate matter (PM10 and PM2.5) concentrations in a highly urbanized megacity, Delhi, the capital of India. The sensors are equipped in a device, called Polludrone and located at ten locations covering different land use and source activities in the city. The Polludrone monitored data was compared with another calibrated PM monitor (GRIMM) for PM10 and PM2.5 concentrations and found a similar trend with correlation coefficient (r2) values of 0.73 and 0.85, respectively. The hourly average concentrations of PM10 and PM2.5 were found to be 446 and 242?μg/m3 by PM monitor, whereas the Polludrone recorded corresponding values as 314?μg/m3 and 176?μg/m3, respectively. Daily, diurnal and seasonal variability in PM10 and PM2.5 levels are analyzed at 09 locations in Delhi city using SWAQMN. Further, sensor's monitored data were compared with nearest located Continuous Ambient Air Quality Monitoring Stations (CAAQMS) in the form of Air Quality Index (AQI) and found the AQI values are comparable in all the four seasons. The sensor monitored low AQI values as compared to CAAQMS during monsoon and summer seasons. The present analysis suggests that the sensor-based network (low/affordable cost) can be successfully operated to get the real time air quality levels in an urban area.
机译:具有提供高空间分辨率实时信息的能力的空气质量监测网络(AQMN)是用于开发管理策略的空气质量改进的重要工具之一。国家环境工程研究所(CSIR-NEERI)已部署了一种基于传感器的无线空气质量监测网络(SWAQMN),以监测高城市化的梅奈蒂,德里,德里的实时微粒物质(PM10和PM2.5)浓度印度。传感器配备在一个名为Polludrone的设备中,位于覆盖不同土地利用的十个地点和城市的源活动。将Polludrone监测数据与PM10和PM2.5浓度的另一个校准的PM监测器(GRIMM)进行比较,发现具有0.73和0.85的相关系数(R2)值的类似趋势。 PM10和PM2.5的每小时平均水平浓度为PM监测器为446和242Ω·μg/ m3,而Polduder分别记录了相应的值,分别为314ΩΩ·μg/ m3和176.μg/ m3。使用Swaqmn在德里市的09个地点分析了PM10和PM2.5水平的日常,昼夜和季节性变异性。此外,将传感器的监测数据与最近的连续环境空气质量监测站(CAAQMS)进行比较,以空气质量指数(AQI)的形式,发现AQI值在所有四个季节中相当。与季风和夏季季节的CAAQM相比,传感器监测低AQI值。本分析表明,可以成功地运行基于传感器的网络(低/经济实惠)以获得城市地区的实时空气质量水平。

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