Search Results - "Zimmerman, Naomi"

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  1. 1

    A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring by Zimmerman, Naomi, Presto, Albert A, Kumar, Sriniwasa P. N, Gu, Jason, Hauryliuk, Aliaksei, Robinson, Ellis S, Robinson, Allen L, R. Subramanian

    Published in Atmospheric measurement techniques (15-01-2018)
    “…Low-cost sensing strategies hold the promise of denser air quality monitoring networks, which could significantly improve our understanding of personal air…”
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    Journal Article
  2. 2

    Spatially dense air pollutant sampling: Implications of spatial variability on the representativeness of stationary air pollutant monitors by Li, Hugh Z., Gu, Peishi, Ye, Qing, Zimmerman, Naomi, Robinson, Ellis S., Subramanian, R., Apte, Joshua S., Robinson, Allen L., Presto, Albert A.

    Published in Atmospheric Environment: X (01-04-2019)
    “…Long- and short-term exposure to airborne pollutants results in adverse health effects. Regulatory monitors can be used to determine if regional concentrations…”
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    Journal Article
  3. 3

    Identification of Neighborhood Hotspots via the Cumulative Hazard Index: Results From a Community‐Partnered Low‐Cost Sensor Deployment by Jain, Sakshi, Gardner‐Frolick, Rivkah, Martinussen, Nika, Jackson, Dan, Giang, Amanda, Zimmerman, Naomi

    Published in Geohealth (01-02-2024)
    “…The Strathcona neighborhood in Vancouver is particularly vulnerable to environmental injustice due to its close proximity to the Port of Vancouver, and a high…”
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    Journal Article
  4. 4

    Tutorial: Guidelines for implementing low-cost sensor networks for aerosol monitoring by Zimmerman, Naomi

    Published in Journal of aerosol science (01-01-2022)
    “…Over the past decade, there has been exponential growth in low-cost air pollution sensing technology. While low-cost sensors can provide a path towards more…”
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  5. 5

    Odor, air quality, and well-being: understanding the urban smellscape using crowd-sourced science by Bhandari, Sahil, de Ferreyro Monticelli, Davi, Xie, Karen, Ramkairsingh, Andre, Maher, Rochelle, Eykelbosh, Angela, Henderson, Sarah B, Zimmerman, Naomi, Giang, Amanda

    Published in Environmental research, health : ERH (01-09-2024)
    “…Abstract Odors are a topic of emerging environmental health interest given their potential links to air quality, health, well-being, and quality of life…”
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    Exploration of intra-city and inter-city PM2.5 regional calibration models to improve low-cost sensor performance by Jain, Sakshi, Zimmerman, Naomi

    Published in Journal of aerosol science (01-03-2024)
    “…Low-cost PM2.5 sensors often suffer from environmental cross-sensitivities, requiring regular calibration across a wide range of concentrations. This is…”
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    Journal Article
  8. 8

    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 by Jain, Sakshi, Presto, Albert A., Zimmerman, Naomi

    Published in Environmental science & technology (06-07-2021)
    “…Previous studies have characterized spatial patterns of pollution with land use regression (LUR) models from distributed passive or filter samplers at low…”
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    Air quality and greenhouse gas implications of autonomous vehicles in Vancouver, Canada by Le Hong, Zoe, Zimmerman, Naomi

    “…This study explores vehicle fleet emissions changes due to connected and autonomous vehicle (CAV) diffusion, over the years 2030 and 2040 in Metro Vancouver,…”
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    Journal Article
  11. 11

    Fleet-based vehicle emission factors using low-cost sensors: Case study in parking garages by Liu, Bingqi, Zimmerman, Naomi

    “…•Fleet-based vehicle emission factors were calculated using low-cost sensors.•Measuring in parking garages enabled built-in validation with vehicle…”
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    Journal Article
  12. 12

    Using spatiotemporal prediction models to quantify PM exposure due to daily movement by Jain, Sakshi, Presto, Albert A, Zimmerman, Naomi

    Published in Environmental science: atmospheres (09-11-2023)
    “…To date, epidemiological studies have generally not accounted for the spatiotemporal variations in PM 2.5 concentration that populations experience. These…”
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  13. 13

    Using spatiotemporal prediction models to quantify PM 2.5 exposure due to daily movement by Jain, Sakshi, Presto, Albert A., Zimmerman, Naomi

    Published in Environmental science: atmospheres (09-11-2023)
    “…To date, epidemiological studies have generally not accounted for the spatiotemporal variations in PM 2.5 concentration that populations experience. These…”
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    Journal Article
  14. 14

    Methane Emissions from Natural Gas Production Sites in the United States: Data Synthesis and National Estimate by Omara, Mark, Zimmerman, Naomi, Sullivan, Melissa R, Li, Xiang, Ellis, Aja, Cesa, Rebecca, Subramanian, R, Presto, Albert A, Robinson, Allen L

    Published in Environmental science & technology (06-11-2018)
    “…We used site-level methane (CH4) emissions data from over 1000 natural gas (NG) production sites in eight basins, including 92 new site-level CH4 measurements…”
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  15. 15

    PLUME Dashboard: A free and open-source mobile air quality monitoring dashboard by Kelly, Chris, Fawkes, Julian, Habermehl, Rachel, de Ferreyro Monticelli, Davi, Zimmerman, Naomi

    “…The deployment of a mobile air quality monitoring laboratory requires advanced real-time instrument monitoring and data management software, which can be…”
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    Real world vehicle fleet emission factors: Seasonal and diurnal variations in traffic related air pollutants by Wang, Jonathan M., Jeong, Cheol-Heon, Zimmerman, Naomi, Healy, Robert M., Evans, Greg J.

    Published in Atmospheric environment (1994) (01-07-2018)
    “…Temporal variations of vehicle emissions are affected by various compounding factors in the real world. The focus of this study is to determine the effects of…”
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  18. 18

    Quantifying high-resolution spatial variations and local source impacts of urban ultrafine particle concentrations by Saha, Provat K., Zimmerman, Naomi, Malings, Carl, Hauryliuk, Aliaksei, Li, Zhongju, Snell, Luke, Subramanian, R., Lipsky, Eric, Apte, Joshua S., Robinson, Allen L., Presto, Albert A.

    Published in The Science of the total environment (10-03-2019)
    “…To quantify the fine-scale spatial variations and local source impacts of urban ultrafine particle (UFP) concentrations, we conducted 3–6 weeks of continuous…”
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  19. 19

    Performance evaluation of portable dual-spot micro-aethalometers for source identification of black carbon aerosols: application to wildfire smoke and traffic emissions in the Pacific Northwest by Chakraborty, Mrinmoy, Giang, Amanda, Zimmerman, Naomi

    Published in Atmospheric measurement techniques (05-05-2023)
    “…Black carbon (BC) is a component of particulate matter, emitted from the incomplete combustion of carbonaceous fuels. The presence of BC in the atmosphere can…”
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  20. 20

    Development of a general calibration model and long-term performance evaluation of low-cost sensors for air pollutant gas monitoring by Malings, Carl, Tanzer, Rebecca, Hauryliuk, Aliaksei, Kumar, Sriniwasa P. N, Zimmerman, Naomi, Kara, Levent B, Presto, Albert A, R. Subramanian

    Published in Atmospheric measurement techniques (11-02-2019)
    “…Assessing the intracity spatial distribution and temporal variability in air quality can be facilitated by a dense network of monitoring stations. However, the…”
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    Journal Article