Estimating Hourly Concentrations of PM2.5 across a Metropolitan Area Using Low-Cost Particle Monitors
There is concern regarding the heterogeneity of exposure to airborne particulate matter (PM) across urban areas leading to negatively biased health effects models. New, low-cost sensors now permit continuous and simultaneous measurements to be made in multiple locations. Measurements of ambient PM w...
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| Format: | Article |
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MDPI AG
2017-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/17/8/1922 |
| _version_ | 1811262898157125632 |
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| author | Nadezda Zikova Mauro Masiol David C. Chalupa David Q. Rich Andrea R. Ferro Philip K. Hopke |
| author_facet | Nadezda Zikova Mauro Masiol David C. Chalupa David Q. Rich Andrea R. Ferro Philip K. Hopke |
| author_sort | Nadezda Zikova |
| collection | DOAJ |
| description | There is concern regarding the heterogeneity of exposure to airborne particulate matter (PM) across urban areas leading to negatively biased health effects models. New, low-cost sensors now permit continuous and simultaneous measurements to be made in multiple locations. Measurements of ambient PM were made from October to April 2015–2016 and 2016–2017 to assess the spatial and temporal variability in PM and the relative importance of traffic and wood smoke to outdoor PM concentrations in Rochester, NY, USA. In general, there was moderate spatial inhomogeneity, as indicated by multiple pairwise measures including coefficient of divergence and signed rank tests of the value distributions. Pearson correlation coefficients were often moderate (~50% of units showed correlations >0.5 during the first season), indicating that there was some coherent variation across the area, likely driven by a combination of meteorological conditions (wind speed, direction, and mixed layer heights) and the concentration of PM2.5 being transported into the region. Although the accuracy of these PM sensors is limited, they are sufficiently precise relative to one another and to research grade instruments that they can be useful is assessing the spatial and temporal variations across an area and provide concentration estimates based on higher-quality central site monitoring data. |
| first_indexed | 2024-04-12T19:33:51Z |
| format | Article |
| id | doaj.art-2826ff6598b1491492cccb97ac12d07c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-12T19:33:51Z |
| publishDate | 2017-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2826ff6598b1491492cccb97ac12d07c2022-12-22T03:19:15ZengMDPI AGSensors1424-82202017-08-01178192210.3390/s17081922s17081922Estimating Hourly Concentrations of PM2.5 across a Metropolitan Area Using Low-Cost Particle MonitorsNadezda Zikova0Mauro Masiol1David C. Chalupa2David Q. Rich3Andrea R. Ferro4Philip K. Hopke5Institute for Environmental Studies, Faculty of Science, Charles University, Prague 12801, Czech RepublicCenter for Air Resources Engineering and Science, Clarkson University, Potsdam, NY 13699, USADepartment of Environmental Medicine, University of Rochester Medical Center, Rochester, NY 14642, USADepartment of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA, <email>David_Rich@urmc.rochester.edu</email>Department of Civil and Environmental Engineering, Clarkson University, Potsdam, NY 13699, USACenter for Air Resources Engineering and Science, Clarkson University, Potsdam, NY 13699, USAThere is concern regarding the heterogeneity of exposure to airborne particulate matter (PM) across urban areas leading to negatively biased health effects models. New, low-cost sensors now permit continuous and simultaneous measurements to be made in multiple locations. Measurements of ambient PM were made from October to April 2015–2016 and 2016–2017 to assess the spatial and temporal variability in PM and the relative importance of traffic and wood smoke to outdoor PM concentrations in Rochester, NY, USA. In general, there was moderate spatial inhomogeneity, as indicated by multiple pairwise measures including coefficient of divergence and signed rank tests of the value distributions. Pearson correlation coefficients were often moderate (~50% of units showed correlations >0.5 during the first season), indicating that there was some coherent variation across the area, likely driven by a combination of meteorological conditions (wind speed, direction, and mixed layer heights) and the concentration of PM2.5 being transported into the region. Although the accuracy of these PM sensors is limited, they are sufficiently precise relative to one another and to research grade instruments that they can be useful is assessing the spatial and temporal variations across an area and provide concentration estimates based on higher-quality central site monitoring data.https://www.mdpi.com/1424-8220/17/8/1922particulate matterlow-cost monitorsspatial variabilityhourly concentrations |
| spellingShingle | Nadezda Zikova Mauro Masiol David C. Chalupa David Q. Rich Andrea R. Ferro Philip K. Hopke Estimating Hourly Concentrations of PM2.5 across a Metropolitan Area Using Low-Cost Particle Monitors Sensors particulate matter low-cost monitors spatial variability hourly concentrations |
| title | Estimating Hourly Concentrations of PM2.5 across a Metropolitan Area Using Low-Cost Particle Monitors |
| title_full | Estimating Hourly Concentrations of PM2.5 across a Metropolitan Area Using Low-Cost Particle Monitors |
| title_fullStr | Estimating Hourly Concentrations of PM2.5 across a Metropolitan Area Using Low-Cost Particle Monitors |
| title_full_unstemmed | Estimating Hourly Concentrations of PM2.5 across a Metropolitan Area Using Low-Cost Particle Monitors |
| title_short | Estimating Hourly Concentrations of PM2.5 across a Metropolitan Area Using Low-Cost Particle Monitors |
| title_sort | estimating hourly concentrations of pm2 5 across a metropolitan area using low cost particle monitors |
| topic | particulate matter low-cost monitors spatial variability hourly concentrations |
| url | https://www.mdpi.com/1424-8220/17/8/1922 |
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