Evaluating the Performance of Low-cost PM Sensors over Multiple COALESCE Network Sites
Evaluating the Performance of Low-cost PM Sensors over Multiple COALESCE Network Sites
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DOI：
10.4209/aaqr.220390
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发表时间：
2023
影响因子：
4
通讯作者：
Vishal R. Dharaiya;V. Malyan;Vikas Kumar;M. Sahu;C. Venkatraman;P. Biswas;K. Yadav;Deeksha Haswani;R. S. Raman;Ruqia Bhat;Tanveer Ahmad Najar;A. Jehangir;R. Patil;G. Pandithurai;S. Duhan;Jitendra Singh Laura
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作者：
Vishal R. Dharaiya;V. Malyan;Vikas Kumar;M. Sahu;C. Venkatraman;P. Biswas;K. Yadav;Deeksha Haswani;R. S. Raman;Ruqia Bhat;Tanveer Ahmad Najar;A. Jehangir;R. Patil;G. Pandithurai;S. Duhan;Jitendra Singh Laura
空气质量是全球关注的问题，颗粒物因其对人类健康和气候变化的影响而受到相当大的关注。低成本传感器的最新进展使其能够大量部署，以测量时空和实时的空气质量数据。低成本传感器需要用监管机构批准的方法和其他数据集进行仔细评估，以了解其有效性。在这项工作中，通过在四个区域站点部署低成本传感器测量的PM浓度，通过与基于卫星的模型MERRA-2和SASS参考仪器进行比较来评估。分析了2020年1月至2020年7月印度四个区域站点PM2.5质量浓度的日变化，包括封锁前和六个不同封锁时期。在封锁前期间，罗赫塔克的PM2.5浓度(119微克m-3)高于马哈巴莱什瓦尔(33微克m-3)、博帕尔(45微克m-3)和克什米尔地区。在封锁期间，虽然每个地点的PM2.5浓度有所不同，但与封锁前相比，每个地点的PM2.5质量浓度都有显著降低。两次测量的空气质量趋势非常相似，然而，MERRA-2重建的PM2.5在封锁前时期明显低于封锁时期。在低成本传感器测量和MERRA-2再分析数据之间观察到显著差异。这归因于MERRA-2模拟分析，与地面测量相比，该分析测量的PM2.5浓度较少，而低成本传感器测量的PM2.5浓度和偏差较低。
Air quality is a global concern, with particulate matter receiving considerable attention due to its impact on human health and climate change. Recent advances in low-cost sensors allow their deployment in large number to measure spatio-temporal and real-time air quality data. Low-cost sensors need careful evaluation with both regulatory approved methods and other data sets to understand their efficacy. In this work, PM concentrations measured by deploying low-cost sensors at four regional sites are evaluated through comparison with satellite-based model MERRA-2 and the SASS reference instrument. Daily PM2.5 mass concentration variation was analyzed at four regional sites of India from January 2020 to July 2020, including pre-lockdown and six different lockdown periods. Higher PM2.5 concentration was observed at Rohtak (119 mu g m-3) compared to Mahabaleshwar (33 mu g m-3), Bhopal (45 mu g m-3) and Kashmir sites during the pre-lock down period. During the lockdown period, the PM2.5 mass concentration was reduced significantly compared to the pre-lockdown period at every location, although the PM2.5 concentration was different at each location. The air quality trend was quite similar in both the measurements, however, MERRA-2 reconstructed PM2.5 was significantly lower in the pre-lockdown period compared to the lockdown periods. Significant differences were observed between low-cost sensor measurements and MERRA-2 reanalysis data. These are attributed to the MERRA-2 modelling analysis that measures less PM2.5 concentration as compared to ground-based measurements, whereas low-cost sensor are and biases.