Air quality sensors for mobile air monitoring and real-time air pollution mapping

用于移动空气监测和实时空气污染测绘的空气质量传感器

• 批准号: RTI-2019-00807
• 负责人: Hatzopoulou, Marianne
• 金额: $ 9.89万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=653217
• 关键词: Air; quality; sensors; mobile; air

In urban areas, traffic is the primary air pollution source and traffic-related air pollution (TRAP) has been linked with various forms of cancer, cardiovascular, and respiratory health effects, both in Canada and elsewhere. Urban air pollution exhibits substantial seasonal and spatial variability that is important to capture in a) health effects studies, b) studies of the impacts of transformative transportation systems (automated vehicles, electric vehicles, ride hailing services) on urban air quality, and c) the development of exposure management tools geared at vulnerable individuals. The question of air pollution monitoring and its value for the development of exposure surfaces at the level of large urban areas is an active field of research. To date, very few efforts have successfully demonstrated the ability to use real-time monitoring data for the generation of spatial predictions of air quality, also in real-time. These efforts are often limited by the inadequacy of the monitoring equipment used. ******While it is important to acknowledge that the recent development of low-cost air pollution sensors has opened up new ways of collecting dense air pollution data, most sensors are limited in terms of their ability to accurately capture the spatio-temporal variability of urban air pollution. Most commercial gas and particulate sensors have presented researchers with significant challenges for meaningful data collection. In fact, the quality of the sensor itself is as important as the “intelligence” and data processing algorithms built around it.******The proposed sensors will overcome many of the limitations of existing commercial sensors. These units integrate capability for self-calibration and allow the user to access various diagnostics remotely, ensuring reliable measurements are taken while the system is in the field. They can also withstand vibration and are therefore particularly suited for mobile measurements, which are critical for achieving high spatial coverage. If successful, this grant will enable the purchase of 15 units, promoting the development of a range of studies that have not yet been feasible with existing sensors, and allowing my research group to design and implement unique air pollution monitoring campaigns geared towards developing spatio-temporal predictions of urban air quality at unparalleled levels of accuracy. **

在城市地区，交通是主要的空气污染源，与交通相关的空气污染（TRAP）与加拿大和其他地方的各种形式的癌症，心血管和呼吸健康影响有关。城市空气污染表现出很大的季节性和空间可变性，对于捕获a）健康影响研究，b）对变革性运输系统（自动化车辆，电动汽车，乘车服务）对城市空气质量的影响的研究以及c）开发了适合易受伤害的人的曝光管理工具的开发。空气污染监测的问题及其在大型城市地区层面上的暴露表面发展的价值是一个积极的研究领域。迄今为止，很少有努力成功地证明了使用实时监控数据的能力，以实时生成空间质量的空间预测。这些努力通常受到使用的监视设备不足的限制。 *****虽然重要的是要认识到，低成本空气污染传感器的最新发展已经开发了收集密集的空气污染数据的新方法，但大多数传感器在准确捕获城市空气污染的空间变化的能力方面受到限制。大多数商业天然气和特定的传感器都向研究人员提出了有意义的数据收集的重大挑战。实际上，传感器本身的质量与围绕它的“智能”和数据处理算法一样重要。****建议的传感器将克服现有商业传感器的许多局限性。这些单元集成了自我校准的功能，并允许用户远程访问各种诊断，从而确保在系统在现场时进行可靠的测量。它们还可以承受振动，因此特别适合移动测量，这对于获得高空间覆盖至关重要。如果成功的话，这笔赠款将使购买15个单元，促进一系列研究的开发，这些研究尚不可行，并允许我的研究小组设计和实施独特的空气污染监测活动，旨在以无效的准确性水平来开发城市空气质量的空间空间预测。 **