Department of Mechanical Engineering, Engineering Center, University of Colorado at Boulder, ECME 114, 1111 Engineering Drive, Boulder, CO 80309, United States.
Department of Mechanical Engineering, Engineering Center, University of Colorado at Boulder, ECME 114, 1111 Engineering Drive, Boulder, CO 80309, United States; Atmospheric Chemistry Observations & Modeling Laboratory, National Center For Atmospheric Research, 3450 Mitchell Lane, Boulder, CO 80301, United States.
Sci Total Environ. 2018 Jun 1;625:608-618. doi: 10.1016/j.scitotenv.2017.12.312. Epub 2018 Jan 2.
A large fraction of the global population relies on the inefficient combustion of solid fuels for cooking and home heating, resulting in household exposure to combustion byproducts. In the southwestern United States, unhealthy air quality has been observed in some homes that use solid fuels as a primary source of heat on the Navajo Nation. In order to better understand how home heating fuel choice can influence indoor air quality in this region, we used recently developed low-cost electrochemical sensors to measure carbon monoxide (CO) air mole fractions continuously inside and outside 41 homes in two communities on the Navajo Nation. Using low-cost sensors in this study, which don't require extensive training to operate, enabled collaboration with local Diné College students and faculty in the planning and implementation of home deployments. Households used natural gas, propane, pellets, wood, and/or coal for heating. We developed quantification methods that included uncertainty estimation for Alphasense CO-B4 sensors, for measurements both inside and outside homes. CO concentrations elevated above background were observed in homes in each heating fuel group, but the highest hourly concentrations were observed in wood and coal burning homes, some of which exceeded World Health Organization Guidelines on both an hourly and eight-hourly basis. In order to probe the many factors that can influence indoor pollutant concentrations, we developed and implemented methods that employ CO emission and decay time periods observed in homes during everyday activities to estimate air exchange rates as well as CO emission rates on the basis of a given well-mixed volume of air. The air quality measurement tools and methods demonstrated in this study can be readily extended to indoor air quality studies in other communities around the world to inform how home heating and cooking practices are influencing indoor air quality during normal daily activities.
全球很大一部分人口依赖固体燃料的低效燃烧来烹饪和家庭取暖,导致家庭暴露在燃烧副产品中。在美国西南部,一些使用固体燃料作为主要热源的家庭观察到纳瓦霍族保留地的空气质量不佳。为了更好地了解家庭供暖燃料选择如何影响该地区的室内空气质量,我们使用最近开发的低成本电化学传感器,连续测量纳瓦霍族保留地两个社区的 41 户家庭内外的一氧化碳(CO)空气摩尔分数。在这项研究中使用低成本传感器,不需要广泛的培训即可操作,使我们能够与当地的 Diné 学院学生和教师合作,规划和实施家庭部署。家庭使用天然气、丙烷、颗粒、木材和/或煤炭取暖。我们开发了量化方法,包括对 AlphaSense CO-B4 传感器的测量进行不确定性估计,包括家庭内外的测量。在每个取暖燃料组的家庭中都观察到 CO 浓度高于背景水平,但在燃烧木材和煤炭的家庭中观察到的最高每小时浓度最高,其中一些超过了世界卫生组织关于每小时和八小时的指导方针。为了探究许多可能影响室内污染物浓度的因素,我们开发并实施了方法,这些方法利用家庭在日常活动中观察到的 CO 排放和衰减时间来估计空气交换率以及根据给定的充分混合空气量计算 CO 排放率。本研究中展示的空气质量测量工具和方法可以很容易地扩展到世界各地其他社区的室内空气质量研究中,以了解家庭取暖和烹饪习惯如何在正常日常活动中影响室内空气质量。