East African Digital Solutions to Air Quality Network

东非空气质量网络数字解决方案

• 批准号: EP/T030100/1
• 负责人: Francis Pope
• 金额: $ 16.85万
• 依托单位: University of Birmingham
• 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%2FT030100%2F1
• 关键词: East; African; Digital; Solutions; Air

Air quality in most East African cities has declined dramatically over the last decades and it air pollution is now the leading environmental risk factor for human health. There is a critical lack of data to assess air quality in East Africa, and therefore to quantify its effect upon human health. Air quality networks in East Africa are still in their early days, with the long term and systematic measurement of air pollutants only available at less than a handful of sites. Large spatial and temporal gaps in data exist. From a historical perspective, very little is known of air pollution concentrations before 2010. The lack of historical data makes it extremely difficult to assess the deleterious effects of air pollution upon human health. It also poses challenges for assessing the efficacy of air quality interventions. Hence informed decisions about infrastructure, which take air quality into account are difficult to make. This proposal forms a new network to co-create strategy and protocols to bring together data that relate to air pollution in East African Urban areas. It targets the capitals of Ethiopia (Addis Ababa), Kenya (Nairobi) and Uganda (Kampala). New data science techniques will be developed to synthesize disparate data streams into spatially and temporally coherent outputs, which can be used to understand historic, contemporary and future air quality. The proposal will provide a road map to harness the power of new data analytics and big data technologies. To design this roadmap, three high intensity workshops and interspersed virtual meetings will be undertaken in Stage 1. Each workshop will tackle a key knowledge gap or development challenge: - Workshop 1: Parameterizing the data problem in East Africa for assessing the causes and effects of air pollution (Kampala)- Workshop 2: Big data approaches to improve East Africa air quality prediction (Addis Ababa)- Workshop 3: Creating greater capacity and capability in analytic air quality science (Nairobi) The Stage 1 research outcomes will enable the development of tailored mitigation strategies for improving air quality. The methodologies developed in the proposal will be translatable and scalable throughout urban East Africa. Hence, the proposal will help realise multiple sustainable development goals (SDGs), including SDG3: Good health and well-being, SDG11: Sustainable cities and communities, and SDG17: Partnerships for the goals. To ensure the project reaches its maximum potential, it includes an extensive array of research translation activities: workshops with academic and non-academic stakeholders; a professionally designed website, which will hold both academic and non-academic outputs including open source academic papers and presentations; briefing notes directed at a range of external stakeholders, including top down governance and bottom up grassroots organizations. Project partners from business, academia, governance and public engagement with science are involved and will attend the workshops. They are Uber, Amazon Web Services, PA Consulting, Kampala Capital City Authority, African Population Health Research Centre, Birmingham Open Media, GCRF Multi-Hazard Urban Disaster Risk Transitions Hub, and the Alan Turing Institute. They offer an additional £102,951 of in-kind contributions to the project. Their incorporation widens the available skillsets and will help deliver long-term impact in the East African region.

过去几十年来，大多数东非城市的空气质量急剧下降，空气污染现在是人类健康的主要环境风险因素。目前严重缺乏评估东非空气质量的数据，因此无法量化其对人类健康的影响。东非的空气质量网络仍处于早期阶段，只有少数几个地点可以对空气污染物进行长期和系统的测量。在数据方面存在着巨大的空间和时间差距。从历史的角度来看，对2010年之前的空气污染浓度知之甚少。由于缺乏历史数据，很难评估空气污染对人类健康的有害影响。这也对评估空气质量干预措施的有效性提出了挑战。因此，很难做出考虑到空气质量的基础设施明智决策。该提案形成了一个新的网络，共同制定战略和协议，汇集与东非城市地区空气污染有关的数据。它的目标是埃塞俄比亚（阿迪斯）、肯尼亚（内罗毕）和乌干达（坎帕拉）的首都。将开发新的数据科学技术，将不同的数据流合成为空间和时间上一致的输出，可用于了解历史，当代和未来的空气质量。该提案将为利用新数据分析和大数据技术的力量提供路线图。为了设计这一路线图，第一阶段将举办三个高强度的研讨会和穿插的虚拟会议。每个讲习班将解决一个关键的知识差距或发展挑战：-讲习班1：东非数据问题参数化，以评估空气污染的原因和影响（坎帕拉）-讲习班2：大数据方法，以改善东非空气质量预测（阿迪斯）-讲习班3：提高空气质量科学分析能力（内罗毕）第一阶段的研究成果将有助于制定有针对性的缓解战略，以改善空气质量。该提案中制定的方法将在整个东非城市地区推广和推广。因此，该提案将有助于实现多个可持续发展目标（SDG），包括SDG 3：良好的健康和福祉，SDG 11：可持续城市和社区，以及SDG 17：目标的伙伴关系。为了确保该项目发挥其最大潜力，它包括一系列广泛的研究翻译活动：与学术和非学术利益相关者的研讨会;一个专业设计的网站，该网站将包含学术和非学术产出，包括开源学术论文和演讲;针对一系列外部利益相关者的简报，包括自上而下的治理和自下而上的基层组织。来自企业、学术界、治理和公众参与科学的项目合作伙伴参与并将参加讲习班。它们是优步、亚马逊网络服务、PA咨询、坎帕拉首都城市管理局、非洲人口健康研究中心、伯明翰开放媒体、GCRF多灾害城市灾害风险过渡中心和艾伦图灵研究所。他们为该项目提供了额外的102，951英镑的实物捐助。他们的加入扩大了现有的技能组合，将有助于在东非地区产生长期影响。

项目成果

Evaluation of WRF-CHIMERE coupled models for the simulation of PM<sub>2.5</sub> in large East African urban conurbations

用于 PM 仿真的 WRF-CHIMERE 耦合模型评估

• DOI: 10.5194/acp-2021-552
• 发表时间: 2022
• 作者: Mazzeo A

Mass concentration measurements of autumn bioaerosol using low-cost sensors in a mature temperate woodland free-air carbon dioxide enrichment (FACE) experiment: investigating the role of meteorology and carbon dioxide levels

在成熟的温带林地自由空气二氧化碳富集 (FACE) 实验中使用低成本传感器测量秋季生物气溶胶的质量浓度：研究气象和二氧化碳水平的作用

• DOI: 10.5194/bg-19-2653-2022
• 发表时间: 2022
• 期刊: Biogeosciences
• 影响因子: 4.9
• 作者: Baird A

Evaluation of the WRF and CHIMERE models for the simulation of PM 2.5 in large East African urban conurbations

对东非大城市 PM 2.5 模拟的 WRF 和 CHIMERE 模型进行评估

• DOI: 10.5194/acp-22-10677-2022
• 发表时间: 2022
• 期刊: Atmospheric Chemistry and Physics
• 影响因子: 6.3
• 作者: Mazzeo A

Mass concentrations of autumn bioaerosol in a mature temperate woodland Free Air Carbon Dioxide Enrichment (FACE) experiment: investigating the role of meteorology and carbon dioxide levels

成熟温带林地自由空气二氧化碳富集 (FACE) 实验中秋季生物气溶胶的质量浓度：研究气象和二氧化碳水平的作用

• DOI: 10.5194/bg-2021-162
• 发表时间: 2021
• 作者: Baird A

Visibility as a proxy for air quality in East Africa

• DOI: 10.1088/1748-9326/ab8b12
• 发表时间: 2020-04
• 期刊: Environmental Research Letters
• 影响因子: 6.7
• 作者: Ajit Singh;W. Avis;F. Pope