Assessing the impact of real-world environmental factors on low-cost PM2.5 monitor performance by comparing calibration before and after deployment

IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Runcheng Fang , Yue Zhang , Scott Collingwood , Joseph B. Stanford , Christina Porucznik , Darrah Sleeth
{"title":"Assessing the impact of real-world environmental factors on low-cost PM2.5 monitor performance by comparing calibration before and after deployment","authors":"Runcheng Fang ,&nbsp;Yue Zhang ,&nbsp;Scott Collingwood ,&nbsp;Joseph B. Stanford ,&nbsp;Christina Porucznik ,&nbsp;Darrah Sleeth","doi":"10.1016/j.scitotenv.2025.180106","DOIUrl":null,"url":null,"abstract":"<div><div>Understanding and mitigating health risks from poor indoor air quality, particularly fine particulate matter (PM2.5), is critical, yet conventional monitoring methods are costly and require skilled operators. Low-cost sensors (LCS) offer an accessible alternative; however, their accuracy under varying environmental conditions remains uncertain. This study evaluates how humidity, temperature, deployment duration, and concentration levels affect the calibration accuracy of low-cost PM2.5 monitors. Nineteen Plantower PMS 3003 sensors deployed in 11 Salt Lake County homes participating in the Green &amp; Healthy Homes Initiative were calibrated before and after residential deployment using a TSI DustTrak aerosol monitor. Linear and Lasso regression analyses were performed to evaluate the influence of environmental factors on calibration parameters. Significant variability was observed in environmental conditions. Higher humidity (<em>p</em> = 0.0197) and longer deployment durations (<em>p</em> = 0.0178) significantly altered calibration slopes, while mean PM2.5 exposure (<em>p</em> = 0.0040) was strongly associated with intercept adjustments. These findings emphasize the need to account for environmental factors in calibration models to improve LCS accuracy and reliability. Environmental conditions significantly impact the performance of low-cost PM2.5 sensors. Modeling these impacts can streamline the calibration process, making it more efficient and cost-effective. Future research should focus on refining calibration models and exploring additional environmental factors to optimize LCS performance.</div></div>","PeriodicalId":422,"journal":{"name":"Science of the Total Environment","volume":"995 ","pages":"Article 180106"},"PeriodicalIF":8.0000,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science of the Total Environment","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0048969725017462","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Understanding and mitigating health risks from poor indoor air quality, particularly fine particulate matter (PM2.5), is critical, yet conventional monitoring methods are costly and require skilled operators. Low-cost sensors (LCS) offer an accessible alternative; however, their accuracy under varying environmental conditions remains uncertain. This study evaluates how humidity, temperature, deployment duration, and concentration levels affect the calibration accuracy of low-cost PM2.5 monitors. Nineteen Plantower PMS 3003 sensors deployed in 11 Salt Lake County homes participating in the Green & Healthy Homes Initiative were calibrated before and after residential deployment using a TSI DustTrak aerosol monitor. Linear and Lasso regression analyses were performed to evaluate the influence of environmental factors on calibration parameters. Significant variability was observed in environmental conditions. Higher humidity (p = 0.0197) and longer deployment durations (p = 0.0178) significantly altered calibration slopes, while mean PM2.5 exposure (p = 0.0040) was strongly associated with intercept adjustments. These findings emphasize the need to account for environmental factors in calibration models to improve LCS accuracy and reliability. Environmental conditions significantly impact the performance of low-cost PM2.5 sensors. Modeling these impacts can streamline the calibration process, making it more efficient and cost-effective. Future research should focus on refining calibration models and exploring additional environmental factors to optimize LCS performance.

Abstract Image

通过比较部署前后的校准,评估现实环境因素对低成本PM2.5监测仪性能的影响
了解和减轻室内空气质量差,特别是细颗粒物(PM2.5)带来的健康风险至关重要,但传统的监测方法成本高昂,需要熟练的操作人员。低成本传感器(LCS)提供了一种可行的替代方案;然而,它们在不同环境条件下的准确性仍然不确定。本研究评估了湿度、温度、部署时间和浓度水平如何影响低成本PM2.5监测仪的校准精度。19个Plantower PMS 3003传感器部署在盐湖城县的11个家庭中,参与了Green &;在住宅部署之前和之后,使用TSI DustTrak气溶胶监测仪对健康家庭计划进行校准。采用线性和Lasso回归分析评价环境因素对标定参数的影响。在环境条件下观察到显著的变异性。较高的湿度(p = 0.0197)和较长的部署持续时间(p = 0.0178)显著改变了校准斜率,而平均PM2.5暴露(p = 0.0040)与截距调整密切相关。这些发现强调需要在校准模型中考虑环境因素,以提高LCS的准确性和可靠性。环境条件显著影响低成本PM2.5传感器的性能。对这些影响进行建模可以简化校准过程,使其更高效、更具成本效益。未来的研究应侧重于完善校准模型和探索其他环境因素,以优化LCS的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信