Integrated digital monitoring and management of air pollution in African cities

非洲城市空气污染的综合数字监测和管理

• 批准号: EP/T029145/1
• 负责人: Majid Ezzati
• 金额: $ 16.84万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FT029145%2F1
• 关键词: Integrated; digital; monitoring; management; air

The number of people living in cities in Africa is growing faster than in any other part of the world. Poverty, lack of alternatives and limited regulations have also increased the use of polluting cars and fuels by families and small industries. This has resulted in high levels of air pollution which puts the residents at risk of different diseases. However, the governments do not have complete information on where in cities air pollution is high; nor do they know how different sources are distributed around the city. The equipment used for measuring air pollution in wealthy countries is too large and expensive to be used in African cities. Our network of African and UK universities, together with partners in government, community and industry, plans to fully map what information is needed to help control air pollution and use new forms of technologies, like data from satellites and artificial intelligence, to create new ways of measuring and monitoring air pollution in African cities.

非洲城市人口的增长速度超过世界任何其他地区。贫穷、缺乏替代品和有限的规章制度也增加了家庭和小工业对污染汽车和燃料的使用。这导致空气污染严重，使居民面临各种疾病的风险。然而，政府并不掌握城市空气污染严重地区的完整信息;他们也不知道城市周围不同污染源的分布情况。富裕国家用于测量空气污染的设备过于庞大和昂贵，无法在非洲城市使用。我们的非洲和英国大学网络，以及政府，社区和行业的合作伙伴，计划全面绘制帮助控制空气污染所需的信息，并使用新形式的技术，如卫星和人工智能数据，以创造测量和监测非洲城市空气污染的新方法。

项目成果

Characterisation of urban environment and activity across space and time using street images and deep learning in Accra.

• DOI: 10.1038/s41598-022-24474-1
• 发表时间: 2022-11-28
• 期刊: SCIENTIFIC REPORTS
• 影响因子: 4.6
• 作者: Nathvani, Ricky;Clark, Sierra N.;Muller, Emily;Alli, Abosede S.;Bennett, James E.;Nimo, James;Moses, Josephine Bedford;Baah, Solomon;Metzler, A. Barbara;Brauer, Michael;Suel, Esra;Hughes, Allison F.;Rashid, Theo;Gemmell, Emily;Moulds, Simon;Baumgartner, Jill;Toledano, Mireille;Agyemang, Ernest;Owusu, George;Agyei-Mensah, Samuel;Arku, Raphael E.;Ezzati, Majid
• 通讯作者: Ezzati, Majid

Characterisation of urban environment and activity across space and time using street images and deep learning in Accra

使用阿克拉的街道图像和深度学习来表征跨空间和时间的城市环境和活动

• DOI: 10.3929/ethz-b-000586119
• 发表时间: 2022
• 作者: Nathvani, Ricky