TY - JOUR A1 - Li, H Z A1 - Gu, P A1 - Ye, Q A1 - Zimmerman, N A1 - Robinson, E S A1 - Subramanian, R A1 - Apte, J S A1 - Robionson, A L A1 - Presto, A A T1 - Spatially dense air pollutant sampling:Implications of spatial variability on the representativeness of stationary air pollutant monitors. N1 - R835873 N1 - R836286 VL - 2 SP - 100012. ER - TY - JOUR A1 - Malings, C A1 - Tanzer, R A1 - Hauryliuk, A A1 - Kumar, S P A1 - Zimmerman, N A1 - Kara, L B A1 - Presto, A A A1 - Subramanian, R T1 - Development of a general calibration model and long-term performance evaluation of low-cost sensors for air pollutant gas monitoring. N1 - R836286 ER - TY - JOUR A1 - Saha, P K A1 - Zimmeran, N A1 - Malings, C A1 - Hauryliuk, A A1 - Li, Z A1 - Snell, L A1 - Subramanian, R A1 - Lipsky, E A1 - Apte, J S A1 - Robinson, A L A1 - Presto, A A T1 - Quantifying high-resolution spatial variations and local source impacts of urban ultrafine particle concentrations. Y1 - 2019// N1 - R835873 N1 - R836286 VL - 655 SP - 473 EP - 81 ER - TY - JOUR A1 - Subramanian, R A1 - Ellis, A A1 - Torres-Delgado, E A1 - Tanzer, R A1 - Malings, C A1 - Rivera, F A1 - Morales, M A1 - Baumgardner, D A1 - Presto, A A1 - Mayol-Bracero, O L T1 - Air quality in Puerto Rico in the aftermath of Hurricane Maria:a case study on the use of lower cost air quality monitors. N1 - R836286 ER - TY - JOUR A1 - Zimmerman, N A1 - Presto, A A A1 - Kumar, S A1 - Gu, J A1 - Hauryliuk, A A1 - Robinson, E S A1 - Robinson, A L A1 - Subramanian, R T1 - A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring. Y1 - 2018/01/15 N1 - R835873 N1 - R836286 VL - 11 IS - 1 SP - 291 EP - 313 ER - TY - JOUR T1 - Demonstration of a Low-Cost Multi-Pollutant Network to Quantify Intra-Urban Spatial Variations in Air Pollutant Source Impacts and to Evaluate Environmental Justice. Y1 - 2019// N1 - R835873 N1 - R836286 VL - 16 SP - 2523. doi ER - TY - JOUR T1 - Fine particle mass monitoring with low-cost sensors:Corrections and long-term performance evaluation. Y1 - 2020// N1 - R835873 N1 - R836286 VL - 54 IS - 2 SP - 160–74. doi ER -