Application of Artificial Intelligence to assess air quality during COVID-19 response period

应用人工智能评估 COVID-19 响应期间的空气质量

• 批准号: 554644-2020
• 负责人: Hashisho, Zaher
• 金额: $ 3.64万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=705279
• 关键词: Application; Artificial; Intelligence; assess; air

The goals of this partnership are to develop a quality assurance tool using artificial intelligence capable to assess the quality of ambient air quality data during COVID 19 response period, and determine the reduction of ambient air pollutant levels due to the reduced traffic and social activities during the lockdown period. The developed artificial intelligence tools will be deployed to assess the current COVID-19 lockdown on the ambient air quality in Alberta at selected locations. The results and will be used by the project partners to improve the tools and the design of the assessments for future flu seasons. The partners will explore the application of the tools using ambient air quality data from other jurisdictions.

该合作伙伴关系的目标是利用人工智能开发一种质量保证工具，能够评估COVID 19应对期间的环境空气质量数据的质量，并确定封锁期间由于交通和社会活动减少而导致的环境空气污染物水平的降低。开发的人工智能工具将用于评估阿尔伯塔选定地点当前COVID-19封锁对环境空气质量的影响。项目合作伙伴将使用这些结果来改进未来流感季节评估的工具和设计。合作伙伴将利用其他司法管辖区的环境空气质量数据探索这些工具的应用。