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Attributing Air Pollutant Exposure to Emission Sources with Proximity Sensing

机译:通过接近感应将空气污染物的暴露归因于排放源

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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.
机译:用于家庭能源使用的生物质燃烧会导致负面的健康结果和环境退化。作为REACCTING研究(加纳北部的排放,空气质量,气候和烹饪技术研究)的一部分,测量了个人在一氧化碳(CO)中的暴露量,以评估在四个干预组中引入两种不同灶具的效果。在这些CO测量时段的子集上部署了新颖的蓝牙低能耗(BLE)信标系统,以估计参与者在采样期间到其最常用烹饪区域的距离。除了介绍BLE Beacon系统的方法和验证之外,这里我们还使用两种不同的方法介绍污染暴露评估建模结果,其中时间-活动(接近)数据用于:(1)更好地了解内部和外部的暴露和行为从家里(2)通过微环境空气质量测量预测个人暴露。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。

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