Attributing Air Pollutant Exposure to Emission Sources with Proximity Sensing
Attributing Air Pollutant Exposure to Emission Sources with Proximity Sensing
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DOI：
10.3390/atmos10070395
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发表时间：
2019-07-01
期刊：
影响因子：
2.9
通讯作者：
Hannigan, Michael P.
中科院分区：
文献类型：
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作者：
Piedrahita, Ricardo;Coffey, Evan R.;Hannigan, Michael P.
家庭能源使用的生物质燃烧会对健康产生负面影响，并导致环境退化。作为REACCTING研究（加纳北方排放、空气质量、气候和烹饪技术研究）的一部分，对个人接触一氧化碳（CO）进行了测量，以评估在四个干预组中引入两种不同炉灶类型的影响。一种新型的低功耗蓝牙（BLE）信标系统被部署在这些CO测量周期的一个子集上，以估计参与者在采样期间与其最常使用的烹饪区域的距离。除了介绍BLE Beacon系统的方法和验证外，我们还介绍了使用两种不同方法的污染暴露评估建模结果，其中时间-活动（接近度）数据用于：（1）更好地了解家中和远离家中的暴露和行为;（2）通过微环境空气质量测量预测个人暴露。在这两种情况下，模型拟合都得到了改善，证明了邻近测量的好处。
Biomass burning for home energy use contributes to negative health outcomes and environmental degradation. As part of the REACCTING study (Research on Emissions, Air quality, Climate, and Cooking Technologies in Northern Ghana), personal exposure to carbon monoxide (CO) was measured to gauge the effects of introducing two different cookstove types over four intervention groups. A novel Bluetooth Low-Energy (BLE) Beacon system was deployed on a subset of those CO measurement periods to estimate participants' distances to their most-used cooking areas during the sampling periods. In addition to presenting methods and validation for the BLE Beacon system, here we present pollution exposure assessment modeling results using two different approaches, in which time-activity (proximity) data is used to: (1) better understand exposure and behaviors within and away from homes; and (2) predict personal exposure via microenvironment air quality measurements. Model fits were improved in both cases, demonstrating the benefits of the proximity measurements.