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Development of a Power-Independent Low-Cost Particulate Monitor for Air Quality Monitoring in the Bronx -New York City

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Abstract

The study intended to explore the feasibility of using low-cost instrumentation (AirBeam2) to create a more accessible platform for measuring air quality. The monitors were calibrated by the manufacture itself and this study validated them through field colocation against a FEM instrument. The minimum and maximum R2 values obtained were 0.79 and 0.87 respectively. Data were collected at 11 monitoring locations and daily PM2.5 average was around 15 μg/m3, and no location exceeded the limit of 35μg/m3 for 24 hours based on the National Ambient Air Quality Standards (NAAQS) under EPA regulations.
Online | 2-5 November 2020
Paper number:
725
Development of a Power-Independent Low-Cost
Particulate Monitor for Air Quality Monitoring in
the Bronx New York City
A.M.C. Ilie, H.M. Eisl, M. Heimbinder
1. Department of Civil and Environmental Engineering, Colorado School of Mines, USA
2. Barry Commoner Center for Health and the Environment CUNY, Queens College, USA
3. HabitatMap, Brooklyn NY, USA
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Background Paper Nr
725
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NYCCAS Results: PM2.5
Paper Nr
725
2009 2018
The BronxThe Bronx
https://nyc-ehs.net/nyccas2020/web/report
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Outline Paper ID:
…..
1. Objectives
2. Stationary Network the Bronx
3. Development of a Power-Independent Low-Cost Particulate Monitor
4. Colocation - Deployment
5. Results
6. Challenges
Paper Nr
725
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Provide a better awareness and understanding of local hotspots of fine particulate
matter concentrations in the Bronx.
A key component of the project was to involve the local population in all aspects of the
study, ranging from project design to implementation.
Increase data collection in communities that can offer additional spatial and temporal
data, diurnal patterns on pollution levels beyond existing NYCCAS and regulatory
networks.
1. Objectives Paper Nr
725
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2. Stationary Network the Bronx Paper Nr
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11 locations
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3. Development of a Power-Independent
Low-Cost Particulate Monitor
Paper Nr
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AirBeam2 - AirCasting Air Quality Monitor “AQM” AQM Stationary Network
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4. Colocation - Deployment Paper Nr
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QC DEC site before
deployment in the Bronx
Step 1 Step 2 Step 3
Data Collection in the Bronx QC DEC site after
deployment in the Bronx
Based on linear regression analysis, the coefficient of determination (R2) was calculated for each calibration curve fit. For all 14 sensors, the minimum and
maximum R2 values obtained were 0.79 and 0.87, respectively.
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5. Results Paper Nr
725
Stationary Network
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Diurnal Patterns
5. Results (continue) Paper Nr
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Designing the stationary air monitoring network
siting criteria
estimated number of monitoring locations
the battery-powered system
WiFi, GPS, server communication
Run all AQM simultaneously
Service and Maintenance issues
6. Challenges Paper Nr
725
11
Successful deployment of sensors was carried out
AirBeam2 performance against FEM instruments is promising
Operation and Maintenance of sensors was duly performed
Data was generated in a consistent manner
Higher levels of PM2.5 concentrations were observed on Thursday and Sunday mornings
Extending study period to acquire more data for a detailed analysis and develop
strategies for the near future.
Conclusions Paper Nr
725
Thank you!
Online | 2-5 November 2020
Ana M.C. Ilie
ailie@mines.edu
Paper Nr
725
Sponsors: New York City Department of Health and Mental Hygiene DOHMH
Partners: Youth Ministries for Peace and Justice YMPJ the Bronx
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