Quantification of Utility of Atmospheric Network Technologies (QUANT)

大气网络技术效用量化 (QUANT)

• 批准号: NE/T00195X/1
• 负责人: Peter Edwards
• 金额: $ 46.52万
• 依托单位: University of York
• 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%2FT00195X%2F1
• 关键词: Quantification; Utility; Atmospheric; Network; Technologies

Low-cost air pollution sensors have a potentially vital role to play in tackling air pollution in the UK and globally, offering a paradigm shift in the way observations are made. The high time resolution and ability to create dense networks of these devices will be essential when evaluating the health impacts of air pollution exposure and assessing potential solutions. The ability to use combinations of these devices to extract new information on key health relevant parameters also has huge potential when it comes to understanding health effects and pollutant sources. This potential is being limited, however, by a lack of confidence in low-cost sensor devices due to reported issues such as interferences on sensor signals and sensor variability. Research from groups across the world have tried to address this problem, but the huge variability in the sensors and applications under which they have been tested has inevitably resulted in mixed messages. From a UK clean air perspective, a thorough evaluation of the technologies, methodologies and applications in a purely UK context is urgently needed if we are to realise the potential of these devices.This project will directly address this challenge through the delivery of a real-world open and traceable assessment of low-cost sensors and sensor networks, including calibration methods, and provide key information on the use of low-cost sensors for tackling air pollution in the UK. This will be achieved through three distinct work packages. The first will perform sensor device assessments in a variety of UK urban environments and cities, in order to cover the inherent variability in local legislation, emissions, weather, etc., that impact air pollution and sensor performance. This will directly challenge both the devices themselves and the calibration methodologies and algorithms used to retrieve useful air pollutant information. The second work package will demonstrate the potential of low-cost air pollution sensor networks to provide crucial high spatial and temporal resolution air pollution data. This will involve the assessment and development of cost effective traceable network calibration methodologies, which are essential if the full potential of these networks are to be realised. The final work package will enhance the value of low-cost sensor data for specific UK air quality challenges through the development of novel methods that use the unique strengths of these devices to extract new information on key pollutants. In particular this will focus on the air pollutant most responsible for loss of life in the UK, particulate matter, by extracting information on particulate matter type and source from low-cost sensor data. This will significantly enhance the use of low-cost sensors for exposure and policy intervention studies. This timely project brings together a strong team of UK experts in the field of air pollution and the use of low-cost sensors for the study of air pollution, with expertise spanning a range of disciplines including chemistry, instrument development, engineering and data science. Ultimately this project will deliver crucial information on the application of low-cost sensors as tools to tackle air pollution in the UK and new methods to improve our understanding of the public exposure, health impacts and sources of key air pollutants. Through the involvement of a range of stakeholders, including UK policy makers, and a transparent and open access approach to data and methods, the project will provide solid advice on the future for these devices in a UK context.

低成本的空气污染传感器在解决英国和全球的空气污染方面发挥着潜在的重要作用，为观测方式提供了一种范式转变。在评估空气污染暴露对健康的影响和评估潜在的解决方案时，高时间分辨率和创建这些设备密集网络的能力至关重要。在了解健康影响和污染源方面，使用这些设备的组合来提取关键健康相关参数的新信息的能力也具有巨大的潜力。然而，由于对传感器信号的干扰和传感器可变性等问题的报道，对低成本传感器设备缺乏信心，这种潜力受到限制。世界各地的研究小组都试图解决这个问题，但传感器和应用程序的巨大差异不可避免地导致了混淆的信息。从英国清洁空气的角度来看，如果我们要实现这些设备的潜力，迫切需要在纯粹的英国背景下对技术，方法和应用进行彻底的评估。该项目将通过对低成本传感器和传感器网络（包括校准方法）进行真实世界的开放和可追溯评估，直接解决这一挑战，并提供有关使用低成本传感器解决英国空气污染的关键信息。这将通过三个不同的工作包来实现。第一个项目将在英国各种城市环境和城市中进行传感器设备评估，以涵盖影响空气污染和传感器性能的当地立法、排放、天气等固有的可变性。这将直接挑战设备本身以及用于检索有用空气污染物信息的校准方法和算法。第二个工作包将展示低成本空气污染传感器网络在提供关键的高空间和时间分辨率空气污染数据方面的潜力。这将涉及评估和发展具有成本效益的可追溯网络校准方法，如果要充分发挥这些网络的潜力，这是必不可少的。最终的工作包将通过开发利用这些设备的独特优势提取关键污染物的新信息的新方法，提高低成本传感器数据对英国特定空气质量挑战的价值。通过从低成本传感器数据中提取有关颗粒物类型和来源的信息，该项目将特别关注导致英国人死亡的空气污染物——颗粒物。这将大大加强使用低成本传感器进行暴露和政策干预研究。这个及时的项目汇集了一个强大的英国专家团队，他们在空气污染领域和使用低成本传感器来研究空气污染，他们的专业知识跨越了化学、仪器开发、工程和数据科学等一系列学科。最终，该项目将提供有关应用低成本传感器作为解决英国空气污染的工具的关键信息，以及提高我们对主要空气污染物的公众暴露，健康影响和来源的理解的新方法。通过包括英国政策制定者在内的一系列利益相关者的参与，以及对数据和方法的透明和开放的获取方法，该项目将为这些设备在英国的未来提供可靠的建议。

项目成果

Monitoring and Understanding Urban Transformation: A Mixed Method Approach

监测和理解城市转型：混合方法

• DOI: 10.3389/frsc.2021.787484
• 发表时间: 2022
• 期刊: Frontiers in Sustainable Cities
• 影响因子: 2.8
• 作者: Bannan T

Long-term Evaluation of Commercial Air Quality Sensors: An Overview from the QUANT Study

商用空气质量传感器的长期评估：QUANT 研究概述

• DOI: 10.5194/amt-2023-251
• 发表时间: 2023
• 作者: Diez S

Assessing the sources of particles at an urban background site using both regulatory instruments and low-cost sensors - A comparative study

使用监管仪器和低成本传感器评估城市背景地点的颗粒源 - 比较研究

• DOI: 10.5194/amt-2021-11
• 发表时间: 2021
• 作者: Bousiotis D

Air pollution measurement errors: is your data fit for purpose?

• DOI: 10.5194/amt-15-4091-2022
• 发表时间: 2022-07-13
• 期刊: ATMOSPHERIC MEASUREMENT TECHNIQUES
• 影响因子: 3.8
• 作者: Diez，Sebastian;Lacy，Stuart E.;Edwards，Pete M.
• 通讯作者: Edwards，Pete M.