TY - JOUR
T1 - Chemical explosion, COVID-19, and environmental justice
T2 - Insights from low-cost air quality sensors
AU - Liu, Guning
AU - Moore, Katie
AU - Su, Wei Chung
AU - Delclos, George L.
AU - Gimeno Ruiz de Porras, David
AU - Yu, Bing
AU - Tian, Hezhong
AU - Luo, Bin
AU - Lin, Shao
AU - Lewis, Grace Tee
AU - Craft, Elena
AU - Zhang, Kai
N1 - Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/11/25
Y1 - 2022/11/25
N2 - Objectives: To examine the impact of the Intercontinental Terminals Company (ITC) fire and COVID-19 on airborne particulate matter (PM) concentrations and the PM disproportionally affecting communities in Houston using low-cost sensors. Methods: We compared measurements from a network of low-cost sensors with a separate network of monitors from the Environmental Protection Agency (EPA) in the Houston metropolitan area from Mar 18, 2019, to Dec 31, 2020. Further, we examined the associations between neighborhood-level sociodemographic status and air pollution patterns by linking the low-cost sensor data to EPA environmental justice screening and mapping systems. Findings: We found increased PM levels during ITC fire and pre-COVID-19, and lower PM levels after the COVID-19 lockdown, comparable to observations from the regulatory monitors, with higher variations and a greater number of locations with high PM levels detected. In addition, the environmental justice analysis showed positive associations between higher PM levels and the percentage of minority, low-income population, and demographic index. Implication: Our study indicates that low-cost sensors provide pollutant measures with higher spatial variations and a better ability to identify hot spots and high peak concentrations. These advantages provide critical information for disaster response and environmental justice studies. Synopsis: We used measurements from a low-cost sensor network for air pollution monitoring and environmental justice analysis to examine the impact of anthropogenic and natural disasters.
AB - Objectives: To examine the impact of the Intercontinental Terminals Company (ITC) fire and COVID-19 on airborne particulate matter (PM) concentrations and the PM disproportionally affecting communities in Houston using low-cost sensors. Methods: We compared measurements from a network of low-cost sensors with a separate network of monitors from the Environmental Protection Agency (EPA) in the Houston metropolitan area from Mar 18, 2019, to Dec 31, 2020. Further, we examined the associations between neighborhood-level sociodemographic status and air pollution patterns by linking the low-cost sensor data to EPA environmental justice screening and mapping systems. Findings: We found increased PM levels during ITC fire and pre-COVID-19, and lower PM levels after the COVID-19 lockdown, comparable to observations from the regulatory monitors, with higher variations and a greater number of locations with high PM levels detected. In addition, the environmental justice analysis showed positive associations between higher PM levels and the percentage of minority, low-income population, and demographic index. Implication: Our study indicates that low-cost sensors provide pollutant measures with higher spatial variations and a better ability to identify hot spots and high peak concentrations. These advantages provide critical information for disaster response and environmental justice studies. Synopsis: We used measurements from a low-cost sensor network for air pollution monitoring and environmental justice analysis to examine the impact of anthropogenic and natural disasters.
KW - Air quality monitoring
KW - COVID-19
KW - Disaster
KW - Environmental justice
KW - Industrial fire accident
KW - Low-cost sensor
KW - Particulate matter
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U2 - 10.1016/j.scitotenv.2022.157881
DO - 10.1016/j.scitotenv.2022.157881
M3 - Article
C2 - 35944636
AN - SCOPUS:85135950749
SN - 0048-9697
VL - 849
JO - Science of the Total Environment
JF - Science of the Total Environment
M1 - 157881
ER -