Grantee Research Project Results
Journal Publications Details for Grant Number R836286
Democratization of Measurement and Modeling Tools for Community Actionon Air Quality, and Improved Spatial Resolution of Air Pollutant Concentrations
Other Views
- All
Publications - Selected
Publication Types - Journal
Articles - Publications Submitted
After Final Report - Redisplay this page with
Reference Title, Journal, and Author Columns - Display this Page
in RIS Format
| Reference Type | Citation | Progress Report Year | Document Sources |
|---|---|---|---|
| Journal Article | Bittner A, Cross E, Hagan D, Malings C, Lipsky E, Grieshop A. Performance characterization of low-cost air quality sensors for off-grid deployment in rural Malawi. ATMOSPHERIC MESUREMENT TECHNIQUES 2022;15(11):3353-3376. |
R836286 (Final) |
|
| Journal Article | Giordano M, Mailings C, Pandis S, Presto A, McNiell V, Wetervelt D, Beekman M, Subrgamanian R. From low-cost sensors to high-quality data:A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors. JOURNAL OF AEROSOL SCIENCE 2021;158. |
R835873 (2020) R835873 (Final) R836286 (Final) |
|
| Journal Article | Jain S, Presto A, Zimmerman N. Spatial Modeling of Daily PM2.5, NO2, and CO Concentrations Measured by a Low-Cost Sensor Network:Comparison of Linear, Machine Learning, and Hybrid Land Use Models. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021;55(13):8631-8641. |
R835873 (2020) R835873 (Final) R836286 (Final) |
|
| Journal Article | Li HZ, Gu P, Ye Q, Zimmerman N, Robinson ES, Subramanian R, Apte JS, Robinson AL, Presto AA. Spatially dense air pollutant sampling:Implications of spatial variability on the representativeness of stationary air pollutant monitors. Atmospheric Environment:X. 2019 Apr 1;2:100012. |
R835873 (2018) R835873 (Final) R836286 (2018) R836286 (2019) |
|
| Journal Article | Malings C, Tanzer R, Hauryliuk A, Kumar SP, Zimmerman N, Kara LB, Presto AA, Subramanian R. Development of a general calibration model and long-term performance evaluation of low-cost sensors for air pollutant gas monitoring. Atmospheric Measurement Techniques. 2019 Feb 11;12(2):903-20. |
R836286 (2018) R836286 (2019) |
|
| Journal Article | Saha PK, Zimmerman N, Malings C, Hauryliuk A, Li Z, Snell L, Subramanian R, Lipsky E, Apte JS, Robinson AL, Presto AA. Quantifying high-resolution spatial variations and local source impacts of urban ultrafine particle concentrations. Science of the Total Environment. 2019; 655:473-81 |
R835873 (2018) R835873 (Final) R836286 (2018) R836286 (2019) |
|
| Journal Article | Subramanian R, Ellis A, Torres-Delgado E, Tanzer R, Malings C, Rivera F, Morales M, Baumgardner D, Presto A, Mayol-Bracero OL. Air quality in Puerto Rico in the aftermath of Hurricane Maria:a case study on the use of lower cost air quality monitors.ACS Earth and Space Chemistry. 2018 Oct 4;2(11):1179-86. DOI:10.1021/acsearthspacechem.8b00079. |
R836286 (2018) R836286 (2019) |
|
| Journal Article | Zimmerman N, Presto AA, Kumar SPN, Gu J, Hauryliuk A, Robinson ES, Robinson AL, Subramanian R. A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring. Atmospheric Measurement Techniques 2018;11(1):291-313. |
R835873 (2017) R835873 (2018) R835873 (Final) R836286 (2017) R836286 (2018) R836286 (2019) |
|
| Journal Article | Zimmerman N, Presto AA, Kumar SPN, Gu J, Hauryliuk A, Robinson ES, Robinson AL, Subramanian R. Closing the gap on lower cost air quality monitoring:machine learning calibration models to improve low-cost sensor performance. Atmospheric Measurement Techniques Discussions August 2017 [In review]. |
R835873 (2016) R836286 (2016) |
|
| Journal Article | Tanzer R, Malings C, Hauryliuk A, Subramanian R, Presto AA. Demonstration of a Low-Cost Multi-Pollutant Network to Quantify Intra-Urban Spatial Variations in Air Pollutant Source Impacts and to Evaluate Environmental Justice. International Journal of Environmental Research and Public Health. 2019 Jan;16(14):2523. |
R835873 (Final) R836286 (2018) |
|
| Journal Article | Tanzer R, Malings C, Hauryliuk A, Subramanian R, Presto AA. Demonstration of a low-cost multi-pollutant network to quantify intra-urban spatial variations in air pollutant source impacts and to evaluate environmental justice. International Journal of Environmental Research and Public Health 2019;16:2523. doi:10.3390/ijerph16142523. |
R835873 (2019) R836286 (2019) |
|
| Journal Article | Eilenberg SR, Subramanian R, Malings C, Hauryliuk A, Presto AA, Robinson AL. Using a network of lower-cost monitors to identify the influence of modifiable factors driving spatial patterns in fine particulate matter concentrations in an urban environment. Journal of Exposure Science & Environmental Epidemiology 2020;30(6):949-61. |
R835873 (2020) R835873 (Final) R836286 (Final) |
|
| Journal Article | Zimmerman N, Li HZ, Ellis A, Hauryliuk A, Robinson ES, Gu P, Shah RU, Ye Q, Snell L, Subramanian R, Robinson AL, Apte JS, Presto AA. Improving correlations between land use and air pollutant concentrations using wavelet analysis:Insights from a low-cost sensor network. Aerosol Air Quality Resesearch 2020;20:314–28. doi:10.4209/aaqr.2019.03.0124. |
R835873 (2019) R835873 (Final) R836286 (2019) |
|
| Journal Article | Malings C, Tanzer R, Hauryliuk A, Saha PK, Robinson AL, Presto AA, Subramanian R. Fine particle mass monitoring with low-cost sensors:Corrections and long-term performance evaluation. Aerosol Science and Technology 2020;54:160–74. doi:10.1080/02786826.2019.1623863. |
R835873 (2019) R835873 (Final) R836286 (2018) R836286 (2019) |
|
The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.