Integrated Research Observation System for Clean Air (OSCA)

清洁空气综合研究观测系统（OSCA）

• 批准号: NE/T001909/1
• 负责人: David Green
• 金额: $ 62.6万
• 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%2FT001909%2F1
• 关键词: Integrated; Research; Observation; System; Clean

"Poor air quality is the largest environmental risk to Public Health in the UK" (DEFRA, 2017) and is consequently a focus of a range of regional and national policy interventions. However, since our transport systems, the way we heat our homes, our energy supply, our use of solvents and our agricultural systems are all changing, we know that profound changes in emissions and trends in air pollutants are likely in the coming years and indeed are already taking place. We need to understand our changing atmospheric composition, to ensure air quality policy has maximum benefit for the protection of human and environmental health.The Clean Air: Analysis and Solutions Programme identifies the need for new capability to predict future changes in the sources, emissions and atmospheric processes responsible for air pollution. The OSCA project addresses this need through a multidisciplinary research activity, combining state-of-the-science atmospheric observations, laboratory studies, new data processing tools and integrated scientific synthesis to deliver new understanding of urban air pollution. OSCA will:-Deliver improved quantification of emissions, combining lab measurements of brake & tyre wear sources, and measurements of the total fluxes of particulate matter (PM) and nitrogen dioxide (NO2) from the BT Tower in London. Nonexhaust emissions comprise up to 70% of traffic-derived PM10, are poorly quantified, and whose relative importance will increase with UK fleet decarbonisation. Real-world emission measurements underpin air quality predictions and avoid dependence upon manufacturer data.-Provide a definitive, state-of-the-science assessment of UK urban air quality through exploitation of the new RCUK-funded urban air quality Supersites in London, Birmingham and Manchester to deliver comprehensive, continuous and long-term measurements of atmospheric composition. These data will characterise the changing UK pollution climate, identify subtle emission trends during implementation of regional air quality policies, and provide a key resource for evaluation of ongoing trends.-Develop new mathematical analyses to identify emergent trends / responses to policies and apply these alongside established methods to address key science uncertainties - e.g.: to assess the trends and changing sources of NO2; to provide definitive quantification of the contributions of non-exhaust traffic, woodsmoke and cooking activities to PM; to identify trends in and contributions to ammonia emissions; to identify changes VOC emissions - precursors to ozone formation.-Provide data and infrastructure to underpin the wider Clean Air Programme, including development and deployment of novel sensor networks (QUANT); data to validate models and health effect calculations (InSPIRE and DREaM); insight into air quality response to policy initiatives (ANTICIPATE); sensor testing and pollutant source identification (APEx).-Enable community mobilisation through intensive field campaigns, targeted at understanding the changing gas-phase reactivity climate of the UK atmosphere (which governs production of secondary PM and ozone), and the sources and chemical composition of atmospheric aerosols.OSCA findings will support policymakers through a range of established relationships the PIs already maintain. These include engagements within the supersite host cities, and links to relevant national bodies, including Defra, DfT, DoH, PHE and the EA. The OSCA deliverables provide important new data and novel scientific approaches central to the assessment of future changes in the sources, emissions and atmospheric processes governing air pollution in the UK - the core of WP1 of the Clean Air programme. OSCA is fully embedded into the wider programme, informing policy decisions, monitoring the impacts of decisions, and feeding public health research and outcomes.

“空气质量差是英国公共卫生面临的最大环境风险”（DEFRA，2017），因此是一系列区域和国家政策干预的重点。然而，由于我们的运输系统、我们为家庭供暖的方式、我们的能源供应、我们使用溶剂的方式和我们的农业系统都在发生变化，我们知道，在未来几年，空气污染物的排放和趋势可能会发生深刻的变化，而且实际上已经发生了变化。我们需要了解我们不断变化的大气成分，以确保空气质量政策对保护人类和环境健康有最大的好处。清洁空气：分析和解决方案计划确定了对预测空气污染源，排放和大气过程未来变化的新能力的需求。OSCA项目通过多学科研究活动解决了这一需求，结合了科学大气观测，实验室研究，新的数据处理工具和综合科学综合，以提供对城市空气污染的新认识。OSCA将：-提供更好的排放量化，结合制动和轮胎磨损源的实验室测量，以及来自伦敦BT塔的颗粒物（PM）和二氧化氮（NO2）总通量的测量。非废气排放占交通产生的PM10的70%，量化不佳，其相对重要性将随着英国车队脱碳而增加。实际排放测量支持空气质量预测，避免依赖制造商数据。通过在伦敦、伯明翰和曼彻斯特利用新的RCUK资助的城市空气质量超级站点，提供对英国城市空气质量的明确、科学的评估，以提供对大气成分的全面、连续和长期的测量。这些数据将反映不断变化的英国污染气候，确定区域空气质量政策实施过程中的微妙排放趋势，并为评估持续趋势提供关键资源。开发新的数学分析，以确定新出现的趋势/对政策的反应，并将其与既定方法一起应用，以解决关键的科学不确定性-例如：评估NO2的趋势和不断变化的来源;提供非废气交通，木材烟雾和烹饪活动对PM的贡献的明确量化;确定氨排放的趋势和贡献;确定VOC排放的变化-臭氧形成的前体。提供数据和基础设施以支持更广泛的清洁空气计划，包括开发和部署新型传感器网络（QUANT）;验证模型和健康影响计算的数据（Inspire和DREaM）;深入了解空气质量对政策举措的响应（ANTICIPATE）;传感器测试和污染源识别（APEx）。通过密集的实地活动，使社区动员，旨在了解英国大气中不断变化的气相反应性气候（控制二次PM和臭氧的产生），以及大气气溶胶的来源和化学成分。OSCA的研究结果将通过PI已经保持的一系列既定关系为政策制定者提供支持。这些包括在超级主办城市内的参与，以及与相关国家机构的联系，包括Defra，DfT，DoH，PHE和EA。OSCA的交付成果提供了重要的新数据和新的科学方法，这些数据和方法对于评估英国空气污染源、排放和大气过程的未来变化至关重要，这是清洁空气计划WP 1的核心。OSCA完全嵌入到更广泛的计划中，为政策决策提供信息，监测决策的影响，并为公共卫生研究和成果提供支持。

项目成果

Chemical characterization of size-selected nanoparticles emitted by a gasoline direct injection engine: Impact of a catalytic stripper

• DOI: 10.1016/j.fuel.2021.120317
• 发表时间: 2021-03-08
• 期刊: FUEL
• 影响因子: 7.4
• 作者: Duca, Dumitru;Rahman, Mostafiz;Focsa, Cristian
• 通讯作者: Focsa, Cristian

A European aerosol phenomenology - 7: High-time resolution chemical characteristics of submicron particulate matter across Europe

• DOI: 10.1016/j.aeaoa.2021.100108
• 发表时间: 2021-03-20
• 期刊: ATMOSPHERIC ENVIRONMENT-X
• 影响因子: 4.6
• 作者: Bressi, M.;Cavalli, F.;Prevot, A. S. H.
• 通讯作者: Prevot, A. S. H.

A Review of Road Traffic-Derived Non-Exhaust Particles: Emissions, Physicochemical Characteristics, Health Risks, and Mitigation Measures.

• DOI: 10.1021/acs.est.2c01072
• 发表时间: 2022-06-07
• 期刊: ENVIRONMENTAL SCIENCE & TECHNOLOGY
• 影响因子: 11.4
• 作者: Fussell, Julia C.;Franklin, Meredith;Green, David C.;Gustafsson, Mats;Harrison, Roy M.;Hicks, William;Kelly, Frank J.;Kishta, Franceska;Miller, Mark R.;Mudway, Ian S.;Oroumiyeh, Farzan;Selley, Liza;Wang, Meng;Zhu, Yifang
• 通讯作者: Zhu, Yifang

A comparative study on effective density, shape factor, and volatile mixing of non-spherical particles using tandem aerodynamic diameter, mobility diameter, and mass measurements

• DOI: 10.1016/j.jaerosci.2021.105930
• 发表时间: 2022-03
• 期刊: Journal of Aerosol Science
• 影响因子: 4.5
• 作者: M. Kazemimanesh;Md Mostafizur Rahman;D. Duca;T. Johnson;A. Addad;G. Giannopoulos;C. Focsa;A. Boies

Quantification of Non-Exhaust Particulate Matter Traffic Emissions and the Impact of COVID-19 Lockdown at London Marylebone Road

• DOI: 10.3390/atmos12020190
• 发表时间: 2021-02-01
• 期刊: ATMOSPHERE
• 影响因子: 2.9
• 作者: Hicks, William;Beevers, Sean;Green, David C.
• 通讯作者: Green, David C.