Conference Paper

Performance assessment of low-cost stationary PM2.5 sensor networks, deployed in Brooklyn and the Bronx, New York

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Abstract

This project explored the feasibility of using stationary low-cost monitoring networks for spatial and temporal estimation of ambient fine particulate concentrations in two environmental justice communities in New York City-El Puente (Brooklyn) and Youth Ministries for Peace and Justice (Bronx). The data from the community-based low-cost stationary monitoring networks were compared to FEM/FRM data and the findings land use regression (LUR) analysis of the New York City Community Air Survey (NYCCAS).

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Technical Report
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Increase citizen engagement in accessing, collecting, and communicating air quality data, thus providing tools to better inform communities on air quality issues. Provide communities with information for advocating for clean air. Increase data collection in communities that can offer additional spatial and temporal da-ta on pollution levels beyond existing NYCCAS and regulatory methods. These data can offer valuable insights into gradients near major sources and temporal characteristics that contribute to chronically high levels of pollution in many neighborhoods. Produce data for research efforts aimed at combining data from low-cost sensor networks with data from existing NYCCAS or regulatory monitoring networks. These statistical fusion techniques can help develop more spatiotemporally resolved exposure maps of air pollution exposure and inform how the City and other researchers use sensor data in the future. Develop data systems that allow for remote uploading of data to servers or citizen uploading of air quality data.
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