Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX 77030, USA.
Clarity Movement Co., Durham, NC, USA; Environmental Defense Fund, 301 Congress Avenue, Austin, TX, USA.
Sci Total Environ. 2022 Nov 25;849:157881. doi: 10.1016/j.scitotenv.2022.157881. Epub 2022 Aug 6.
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.
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.
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.
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.
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.
利用低成本传感器,研究洲际码头公司(ITC)火灾和 COVID-19 对休斯顿空气中颗粒物(PM)浓度的影响,以及 PM 对休斯顿社区的不成比例影响。
我们比较了 2019 年 3 月 18 日至 2020 年 12 月 31 日期间,来自休斯顿大都市区低成本传感器网络和美国环保署(EPA)独立监测网络的数据。此外,我们通过将低成本传感器数据与 EPA 环境正义筛选和绘图系统联系起来,研究了邻里社会人口统计学地位与空气污染模式之间的关联。
我们发现,在 ITC 火灾和 COVID-19 之前,PM 水平升高,而在 COVID-19 封锁之后,PM 水平降低,这与监管监测器的观察结果一致,但波动性更高,并且检测到更多高 PM 水平的地点。此外,环境正义分析表明,PM 水平与少数民族、低收入人群和人口指数的百分比之间存在正相关关系。
我们的研究表明,低成本传感器提供了具有更高空间变化和更好识别热点和高峰浓度能力的污染物测量值。这些优势为灾害应对和环境正义研究提供了关键信息。
我们使用低成本传感器网络的测量值进行空气污染监测和环境正义分析,以研究人为和自然灾害的影响。