Developing new laser-based instruments to characterise optical properties of aerosol particles from road traffic

开发新型激光仪器来表征道路交通气溶胶颗粒的光学特性

• 批准号: 2434042
• 金额: --
• 依托单位: University of York
• 依托单位国家: 英国
• 项目类别: Studentship
• 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=studentship-2434042
• 关键词: Developing; new; laser; based; instruments

Road traffic remains among the most significant sources of particulate matter (PM) pollution in the UK. With the decline in tailpipe emissions, non-exhaust sources - including resuspended road dust and tyre and brake friction - of PM are becoming increasingly important. Non-exhaust PM are now thought to dominate over exhaust sources.1 Factors that influence non-exhaust emissions are poorly understood, making it difficult to develop solutions for PM reductions and predict future changes as electric and hybrid vehicles become more popular. In addition, there is a great deal of uncertainty in the physical characteristics of these particles that determine climate and public health effects. Optical instruments have become popular for in situ measurements of atmospheric aerosol with high (~1 Hz) time resolution. In order to retrieve quantitative information on the particle size and refractive index, mathematical models are often required to invert raw data. These models rely on assumptions that the particles are spherical (or ellipsoids) with a homogeneous or simple core-shell composition. This project will focus on developing innovative laser-based instruments to more accurately characterise aerosol particle properties, specifically focusing on improving accuracy in measurements of non-spherical particles. The PhD candidate will develop techniques to measure particle morphology in the field based on the angular distribution of scattered light (commonly referred to as the scattering phase function). Direct measurements of aerosol phase function in the field have only recently been demonstrated (see Figure 1), and this project will focus on leveraging these new capabilities to produce vital new data sets on traffic related PM emissions.2,3 These data sets will reduce uncertainty in the effects of traffic emissions on cardiopulmonary health, tropospheric chemistry, and radiative forcing. In addition to improving ground-based measurement capabilities, this research project will also enable improved validation of remote sensing measurements. Aerosol data products from ground- and satellite-based radiometers rely on algorithms that relate the viewing angle of the instrument relative to the sun to determine the size distribution and radiative effects of the particles. Inaccurate assumptions of the scattering phase function may contribute to poor agreement between climate models, satellites, and ground-based radiometers, particularly in areas characterised by non-spherical particles (e.g. deserts and urban areas).4,5 Objectives The objectives of this project include: 1. Develop novel laser-based instrumentation to characterise aerosol particle size and shape in situ; 2. Deploy instrument to roadside air quality monitoring site to measure traffic emissions; 3. Compare measured light scattering with algorithms implemented in models and remote sensing retrievals; 4. Investigate the role of vehicle type and atmospheric processes on traffic particle characteristics.

道路交通仍然是英国颗粒物（PM）污染的最重要来源之一。随着尾气排放量的下降，PM的非排气源-包括再悬浮的道路灰尘以及轮胎和制动摩擦-变得越来越重要。现在，非排气PM被认为在排气源中占主导地位。1影响非排气排放的因素知之甚少，因此很难开发PM减少的解决方案，并预测随着电动和混合动力汽车的普及，未来的变化。此外，这些颗粒物的物理特性存在很大的不确定性，而这些物理特性决定了气候和公众健康的影响。光学仪器已成为流行的现场测量大气气溶胶与高（~1赫兹）的时间分辨率。为了检索颗粒尺寸和折射率的定量信息，通常需要数学模型来反演原始数据。这些模型依赖于假设的颗粒是球形（或椭圆形），具有均匀或简单的核壳组成。该项目将侧重于开发创新的激光仪器，以更准确地测量气溶胶颗粒的特性，特别是侧重于提高非球形颗粒测量的准确性。博士候选人将开发基于散射光的角分布（通常称为散射相函数）测量现场颗粒形态的技术。该领域的气溶胶相函数的直接测量最近才得到证实（见图1），该项目将重点利用这些新能力来产生与交通相关的PM排放的重要新数据集。2，3这些数据集将减少交通排放对心肺健康、对流层化学和辐射强迫影响的不确定性。除了提高地面测量能力外，这一研究项目还将能够改进遥感测量的验证。来自地面和卫星辐射计的气溶胶数据产品依赖于将仪器相对于太阳的视角联系起来的算法，以确定颗粒的大小分布和辐射效应。散射相位函数的不准确假设可能导致气候模型、卫星和地面辐射计之间的一致性较差，特别是在以非球形粒子为特征的地区（例如沙漠和城市地区）。开发新型激光仪器，原位测量气溶胶颗粒的尺寸和形状; 2.在路边空气质素监测站安装仪器，量度交通废气排放量; 3.将测量的光散射与模型和遥感反演中实现的算法进行比较; 4.调查车辆类型和大气过程对交通颗粒物特性的作用。