دورية أكاديمية
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Laboratory and field evaluation of a low-cost methane sensor and key environmental factors for sensor calibration.

التفاصيل البيبلوغرافية
العنوان: Laboratory and field evaluation of a low-cost methane sensor and key environmental factors for sensor calibration.
المؤلفون: Lin JJY; Johns Hopkins University Bloomberg School of Public Health, Environmental Health and Engineering Baltimore MD 21205-2103 USA., Buehler C; SEARCH (Solutions for Energy, Air, Climate and Health) Center, Yale University New Haven CT 06520 USA.; Chemical and Environmental Engineering, Yale University New Haven CT 06520 USA., Datta A; Johns Hopkins University Bloomberg School of Public Health, Department of Biostatistics Baltimore MD 21205-2103 USA., Gentner DR; SEARCH (Solutions for Energy, Air, Climate and Health) Center, Yale University New Haven CT 06520 USA.; Chemical and Environmental Engineering, Yale University New Haven CT 06520 USA., Koehler K; Johns Hopkins University Bloomberg School of Public Health, Environmental Health and Engineering Baltimore MD 21205-2103 USA.; SEARCH (Solutions for Energy, Air, Climate and Health) Center, Yale University New Haven CT 06520 USA., Zamora ML; Johns Hopkins University Bloomberg School of Public Health, Environmental Health and Engineering Baltimore MD 21205-2103 USA.; SEARCH (Solutions for Energy, Air, Climate and Health) Center, Yale University New Haven CT 06520 USA.; Department of Public Health Sciences, UConn School of Medicine, University of Connecticut Health Center Farmington CT USA 06032-1941 mzamora@uchc.edu.
المصدر: Environmental science: atmospheres [Environ Sci Atmos] 2023 Feb 21; Vol. 3 (4), pp. 683-694. Date of Electronic Publication: 2023 Feb 21 (Print Publication: 2023).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Royal Society of Chemistry Country of Publication: England NLM ID: 9918227365506676 Publication Model: eCollection Cited Medium: Internet ISSN: 2634-3606 (Electronic) Linking ISSN: 26343606 NLM ISO Abbreviation: Environ Sci Atmos Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: London : Royal Society of Chemistry, [2021]-
مستخلص: Low-cost sensors enable finer-scale spatiotemporal measurements within the existing methane (CH 4 ) monitoring infrastructure and could help cities mitigate CH 4 emissions to meet their climate goals. While initial studies of low-cost CH 4 sensors have shown potential for effective CH 4 measurement at ambient concentrations, sensor deployment remains limited due to questions about interferences and calibration across environments and seasons. This study evaluates sensor performance across seasons with specific attention paid to the sensor's understudied carbon monoxide (CO) interferences and environmental dependencies through long-term ambient co-location in an urban environment. The sensor was first evaluated in a laboratory using chamber calibration and co-location experiments, and then in the field through two 8 week co-locations with a reference CH 4 instrument. In the laboratory, the sensor was sensitive to CH 4 concentrations below ambient background concentrations. Different sensor units responded similarly to changing CH 4 , CO, temperature, and humidity conditions but required individual calibrations to account for differences in sensor response factors. When deployed in-field, co-located with a reference instrument near Baltimore, MD, the sensor captured diurnal trends in hourly CH 4 concentration after corrections for temperature, absolute humidity, CO concentration, and hour of day. Variable performance was observed across seasons with the sensor performing well ( R 2 = 0.65; percent bias 3.12%; RMSE 0.10 ppm) in the winter validation period and less accurately ( R 2 = 0.12; percent bias 3.01%; RMSE 0.08 ppm) in the summer validation period where there was less dynamic range in CH 4 concentrations. The results highlight the utility of sensor deployment in more variable ambient CH 4 conditions and demonstrate the importance of accounting for temperature and humidity dependencies as well as co-located CO concentrations with low-cost CH 4 measurements. We show this can be addressed via Multiple Linear Regression (MLR) models accounting for key covariates to enable urban measurements in areas with CH 4 enhancement. Together with individualized calibration prior to deployment, the sensor shows promise for use in low-cost sensor networks and represents a valuable supplement to existing monitoring strategies to identify CH 4 hotspots.
Competing Interests: There are no conflicts to declare.
(This journal is © The Royal Society of Chemistry.)
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معلومات مُعتمدة: K99 ES029116 United States ES NIEHS NIH HHS; R00 ES029116 United States ES NIEHS NIH HHS; R01 ES033739 United States ES NIEHS NIH HHS
تواريخ الأحداث: Date Created: 20230417 Latest Revision: 20230829
رمز التحديث: 20230830
مُعرف محوري في PubMed: PMC10100561
DOI: 10.1039/d2ea00100d
PMID: 37063944
قاعدة البيانات: MEDLINE
الوصف
تدمد:2634-3606
DOI:10.1039/d2ea00100d