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Title: A Distributed Network of 100 Black Carbon Sensors for 100 Days of Air Quality Monitoring in West Oakland, California

Abstract

Ambient particulate matter (PM) pollution is a significant environmental health risk in urban areas. Dense networks of low-cost air quality sensors are emerging to characterize the spatially heterogeneous concentrations that are typical of urban settings, but are not adequately captured using traditional regulatory monitors at central sites. Here, we present the 100×100 BC Network, a 100-day deployment of low-cost black carbon (BC) sensors across 100 locations in West Oakland, California. This 15 km 2 community is surrounded by freeways and affected by emissions associated with local port and industrial activities. We assess the reliability of the sensor hardware and data collection systems, and identify modes of failure to both quantify and qualify network performance. We show how dynamic, local emission sources build upon background BC concentrations. BC concentrations varied sharply over short distances (~100 m) and timespans (~1 hour), depending on surrounding land use, traffic patterns, and downwind distance from pollution sources. Strong BC concentration fluctuations were periodically observed over the diurnal and weekly cycles, reflecting the impact of localized traffic emissions and industrial facilities in the neighborhood. Overall, the results demonstrate how distributed sensor networks can reveal the complex spatiotemporal dynamics of combustion-related air pollution within urban neighborhoods.

Authors:
ORCiD logo [1];  [2]; ORCiD logo [1];  [1]
  1. Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Univ. of California, Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Environment, Health, Safety and Security (AU); National Science Foundation (NSF)
OSTI Identifier:
1527200
Alternate Identifier(s):
OSTI ID: 1530719
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Published Article
Journal Name:
Environmental Science and Technology
Additional Journal Information:
Journal Volume: 53; Journal Issue: 13; Journal ID: ISSN 0013-936X
Publisher:
American Chemical Society (ACS)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Caubel, Julien J., Cados, Troy E., Preble, Chelsea V., and Kirchstetter, Thomas W. A Distributed Network of 100 Black Carbon Sensors for 100 Days of Air Quality Monitoring in West Oakland, California. United States: N. p., 2019. Web. doi:10.1021/acs.est.9b00282.
Caubel, Julien J., Cados, Troy E., Preble, Chelsea V., & Kirchstetter, Thomas W. A Distributed Network of 100 Black Carbon Sensors for 100 Days of Air Quality Monitoring in West Oakland, California. United States. doi:10.1021/acs.est.9b00282.
Caubel, Julien J., Cados, Troy E., Preble, Chelsea V., and Kirchstetter, Thomas W. Tue . "A Distributed Network of 100 Black Carbon Sensors for 100 Days of Air Quality Monitoring in West Oakland, California". United States. doi:10.1021/acs.est.9b00282.
@article{osti_1527200,
title = {A Distributed Network of 100 Black Carbon Sensors for 100 Days of Air Quality Monitoring in West Oakland, California},
author = {Caubel, Julien J. and Cados, Troy E. and Preble, Chelsea V. and Kirchstetter, Thomas W.},
abstractNote = {Ambient particulate matter (PM) pollution is a significant environmental health risk in urban areas. Dense networks of low-cost air quality sensors are emerging to characterize the spatially heterogeneous concentrations that are typical of urban settings, but are not adequately captured using traditional regulatory monitors at central sites. Here, we present the 100×100 BC Network, a 100-day deployment of low-cost black carbon (BC) sensors across 100 locations in West Oakland, California. This 15 km2 community is surrounded by freeways and affected by emissions associated with local port and industrial activities. We assess the reliability of the sensor hardware and data collection systems, and identify modes of failure to both quantify and qualify network performance. We show how dynamic, local emission sources build upon background BC concentrations. BC concentrations varied sharply over short distances (~100 m) and timespans (~1 hour), depending on surrounding land use, traffic patterns, and downwind distance from pollution sources. Strong BC concentration fluctuations were periodically observed over the diurnal and weekly cycles, reflecting the impact of localized traffic emissions and industrial facilities in the neighborhood. Overall, the results demonstrate how distributed sensor networks can reveal the complex spatiotemporal dynamics of combustion-related air pollution within urban neighborhoods.},
doi = {10.1021/acs.est.9b00282},
journal = {Environmental Science and Technology},
number = 13,
volume = 53,
place = {United States},
year = {2019},
month = {6}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1021/acs.est.9b00282

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