Runners air pollution exposure assessment using Low-cost Wearable (LCS) Sensors
| 项目名称： | Runners air pollution exposure assessment using Low-cost Wearable (LCS) Sensors |
| 摘要： | This study aims at assessing runner’s TRAP exposure to PM2.5, PM10, and NO2 along alternative travel routes in the City of College Station, where Texas A&M University is located. The study attempts to bridge a gap in the literature by employing emerging low-cost sensor technology to implement a community-based air quality monitoring approach and study the relationship between exposure levels to air pollution, and influence of key parameters (traffic, meteorology, and route taken etc.) In recent years, emerging wearable low-cost sensors have offered the possibility to cover larger samples and provide time-specific contribution based on crowd-sourced data and this has the potential to revolutionize the way air pollution data has been collected and reported. The goal of this study is to use micro/low-cost sensors to implement a community-based air quality monitoring approach to enhance traditional air quality monitoring. Real-time air quality maps that will be developed will help to better understand actual exposure experienced by runners and use the findings for outreach and communication. The results will provide air pollution data for many end users who are interested in knowing the air quality trends before undertaking any outdoor physical activity, so they can time their activities to avoid periods of high pollutant levels, and steering clear of high-polluted areas. By using low-cost measurement tools, emphasizing training and education, and utilizing an interactive website, study aims to provide the highest air quality data for policy making, outreach and research applications. |
| 状态： | Active |
| 资金： | 50000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Vallamsundar, Suriya；Johnson, Jeremy；Ettelman, Benjamin |
| 执行机构： | Texas A&M Transportation Institute |
| 开始时间： | 20210101 |
| 预计完成日期： | 20220228 |
| 主题领域： | Data and Information Technology；Environment；Pedestrians and Bicyclists；Safety and Human Factors |
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