APEx: An Air Pollution Exposure model to integrate protection of vulnerable groups into the UK Clean Air Programme

APEx：空气污染暴露模型，将对弱势群体的保护纳入英国清洁空气计划

• 批准号: NE/T001887/1
• 负责人: Benjamin Barratt
• 金额: $ 172.86万
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FT001887%2F1
• 关键词: APEx; Air; Pollution; Exposure; model

Poor air quality is a public health crisis, with approximately 40,000 deaths per year attributable to outdoor air pollution and costing the UK £20 billion per year in illness, deaths, health service and business costs (RCP, 2016). Poor indoor air quality further adds to this risk and is often overlooked despite the majority of the UK population spending more than 90% of its time indoors. The risk to health of poor air quality and its impacts being disproportionally suffered by vulnerable groups, such as children, the elderly and those with underlying health problems. This risk is heightened by the impact of poor-quality buildings and other unavoidable socio-economic vulnerabilities. Despite this crisis and acknowledgement of the risks for individuals, current methods for assessing the impact of clean air policies are entirely based on outdoor air quality, without considering human behaviours or susceptibility. This study will place people at the centre of the problem by creating an exposure model that more accurately reflects the air that people breathe as they interact with the city, incorporating the indoor and outdoor environment, transport and behaviour patterns. Bringing together experts from a range of disciplines, this study will create a tool that will inform the implementation of the UK Government's Clean Air Strategy. This tool, called APEx, will be used to instigate new solutions to protect the health of vulnerable groups, allow the refinement of existing solutions to increase impact and reduce unintended consequences. It will achieve this by merging three existing advanced urban models of air pollution, buildings and urban form and a human behaviour (agent-based) model that will, in combination, be capable of estimating how much air pollution people are exposed to as they move around a city. APEx will be evaluated using an extensive database of world leading and unique personal exposure measurements gathered from several research campaigns carried out in recent years. Choice surveys will be carried out to ensure that human behaviour is correctly reflected in the model, including how citizens might react to the introduction of proposed clean air policies.The tool will first be developed for London, where the most input data are available, then expanded to cover the city of Birmingham. A protocol will be developed describing how further cities could be incorporated in the future to assist in protective person-centred air quality management across the UK. As cities design, implement and evaluate air pollution policies and controls, they need tools and guides that take into account how people experience air pollution and make choices that affect their exposure.Once complete, APEx will be used to quantify the impact of current Clean Air Zone policies on the levels of air pollution citizens breathe. These results will be used to formulate new or augmented policy scenarios incorporating human choice and behaviour to reduce atmospheric emissions and protect targeted vulnerable groups. Throughout the study, we will engage with public representatives and stakeholders through workshops and online user groups. This co-production of knowledge will maximise the relevance of outputs, including model design, policy formulation and public health advice.RCP (2016). 'Every breath we take: the lifelong impact of air pollution'. https://www.rcplondon.ac.uk/projects/outputs/every-breath-we-take-lifelong-impact-air-pollution

空气质量差是一种公共卫生危机，每年约有40，000人死于室外空气污染，每年在疾病，死亡，医疗服务和商业成本方面花费英国200亿英镑（RCP，2016）。恶劣的室内空气质量进一步增加了这种风险，尽管大多数英国人90%以上的时间都在室内度过，但这种风险往往被忽视。空气质量差对健康的风险及其对儿童、老年人和有潜在健康问题的人等弱势群体的影响。质量低劣的建筑物和其他不可避免的社会经济脆弱性的影响加剧了这一风险。尽管存在这一危机，并承认对个人的风险，但目前评估清洁空气政策影响的方法完全基于室外空气质量，而不考虑人类行为或易感性。这项研究将把人放在问题的中心，通过创建一个暴露模型，更准确地反映人们在与城市互动时呼吸的空气，结合室内和室外环境，交通和行为模式。这项研究汇集了来自一系列学科的专家，将创建一个工具，为英国政府的清洁空气战略的实施提供信息。这一名为APEx的工具将被用来推动新的解决方案，以保护弱势群体的健康，并允许改进现有的解决方案，以增加影响并减少意外后果。它将通过合并现有的三个先进的城市空气污染模型，建筑物和城市形态以及人类行为（基于代理人）模型来实现这一目标，该模型将能够估计人们在城市中移动时暴露于多少空气污染。APEx将使用一个广泛的数据库进行评估，该数据库收集了近年来开展的几项研究活动中收集的世界领先和独特的个人暴露测量结果。将开展选择调查，以确保人类行为在模型中得到正确反映，包括公民可能对拟议的清洁空气政策的引入作出的反应。该工具将首先为伦敦开发，因为那里有最多的输入数据，然后扩展到伯明翰市。将制定一项议定书，描述未来如何将更多的城市纳入其中，以协助全英国以人为本的空气质量管理。当城市设计、实施和评估空气污染政策和控制措施时，他们需要考虑到人们如何体验空气污染并做出影响其暴露的选择的工具和指南。一旦完成，APEx将用于量化当前清洁空气区政策对公民呼吸的空气污染水平的影响。这些结果将用于制定新的或扩大的政策设想，纳入人类的选择和行为，以减少大气排放和保护目标弱势群体。在整个研究过程中，我们将通过研讨会和在线用户组与公众代表和利益相关者进行接触。这种知识的共同生产将最大限度地提高产出的相关性，包括模型设计、政策制定和公共卫生建议。RCP（2016）。我们的每一次呼吸：空气污染的终身影响https://www.rcplondon.ac.uk/projects/outputs/every-breath-we-take-lifelong-impact-air-pollution

项目成果

Prenatal exposure to air pollution is associated with structural changes in the neonatal brain.

• DOI: 10.1016/j.envint.2023.107921
• 发表时间: 2023-04
• 期刊: ENVIRONMENT INTERNATIONAL
• 影响因子: 11.8
• 作者: Bos, Brendan;Barratt, Ben;Batalle, Dafnis;Gale-Grant, Oliver;Hughes, Emer J.;Beevers, Sean;Cordero-Grande, Lucilio;Price, Anthony N.;Hutter, Jana;V. Hajnal, Joseph;Kelly, Frank J.;Edwards, David;Counsell, Serena J.
• 通讯作者: Counsell, Serena J.

Dynamic Anthropogenic activitieS impacting Heat emissions (DASH v1.0): development and evaluation

影响热排放的动态人类活动 (DASH v1.0)：开发和评估

• DOI: 10.5194/gmd-13-4891-2020
• 发表时间: 2020
• 期刊: Geoscientific Model Development
• 影响因子: 5.1
• 作者: Capel-Timms I

The state of science on severe air pollution episodes: Quantitative and qualitative analysis.

严重空气污染事件的科学状况：定量和定性分析。

• DOI: 10.1016/j.envint.2021.106732
• 发表时间: 2021
• 期刊: Environment international
• 影响因子: 11.8
• 作者: Morawska L

Connecting physical and socio-economic spaces for urban agent-based modelling

连接物理空间和社会经济空间以进行基于主体的城市建模

• DOI: 10.5194/ems2023-320
• 发表时间: 2023
• 作者: Hertwig D

Dynamic Anthropogenic actiVities and feedback to Emissions (DAVE): - An agent based model for heat and exposure to other anthropogenic emissions

动态人为活动和排放反馈 (DAVE)： - 基于代理的热量和其他人为排放暴露模型

• DOI: 10.5194/ems2023-147
• 发表时间: 2023
• 作者: McGrory M