EVALUATION OF ALPHASENSE OPC-N2 SENSOR FOR PM10 MEASUREMENT IN THE NORTH JAKARTA

EVALUATION OF ALPHASENSE OPC-N2 SENSOR FOR PM10 MEASUREMENT IN THE NORTH JAKARTA
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评估用于雅加达北部 PM10 测量的 ALPHASEENSE OPC-N2 传感器

DOI:
10.11113/aej.v12.17853
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发表时间:
2022
影响因子:
--
通讯作者:
Imami A
Imami A
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--
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作者:
Imami A

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印度尼西亚的颗粒物 (PM) 时空数据有限;因此,用于监测 PM 浓度的经济有效且强大的仪器可以完成数据覆盖。低成本传感器 (LCS) Alphasense OPC-N2 提供实时 PM 浓度数据,并且安装和部署相对简单。本文介绍了来自与 PM10 Beta 衰减监视器 (BAM) 搭配的 OPC-N2 传感器的数据。这项研究是在雅加达北部属于省政府的一个空气质量监测点进行的。该地点被认为适合评估 OPC-N2 微传感器的性能,因为它是典型的印度尼西亚城市化地区的代表,具有一系列污染物源,包括来自海洋的气溶胶。在同一地点,还部署了基于过滤器的 Gent Sampler (GS),可测量 PM10 和 PM2.5。研究表明,OPC-N2 测量的 PM10 30 分钟和日平均浓度数据在两个平均持续时间内均低于 BAM 测量值约 50%。 OPC-N2 和 GS 对于 PM10 的比较表明,OPC-N2 测量值被低估,但对于 PM2.5 测量值被高估。尽管如此,OPC-N2 和 BAM 对于 PM10 和 PM2.5 的相关性分别为 0.530 和 0.607。这些结果与不同国家的其他低成本传感器评估研究相当,表明传感器可以代表参考测量的时间变化。
Spatial and temporal data of particulate matter (PM) are limited in Indonesia; hence cost-effective and robust instruments to monitor PM concentration could complete data coverage. The low-cost sensor (LCS) Alphasense OPC-N2 provides real-time PM concentration data and is relatively simple to install and deploy. This paper presents data from an OPC-N2 sensor collocated with a PM10 Beta Attenuation Monitor (BAM). The study was carried out at an air quality monitoring site in North Jakarta belonging to the provincial government. The location is considered suitable for evaluating the performance of OPC-N2 micro sensor as it is a representative of a typical Indonesian urbanized area with a range of pollutant sources, including sea-sourced aerosols. At the same site, a filter-based Gent Sampler (GS) measuring both PM10 and PM2.5 was also deployed. The study showed that 30-minutely and daily average concentrations data for PM10 measured by OPC-N2 were lower than that of BAM measurements in both averaged durations by approximately 50%. The comparison between OPC-N2 and GS for PM10 showed that OPC-N2 measurement was underestimated but it was overestimated for PM2.5. Nonetheless, correlations of OPC-N2 and BAM were 0.530 and 0.607 for PM10 and PM2.5, respectively. These results were comparable to other low-cost sensor evaluation studies in different countries, suggesting that the sensor can represent temporal variation of the reference measurement.
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