Simulating urban air pollution in the lab

在实验室模拟城市空气污染

基本信息

  • 批准号:
    MR/S015566/1
  • 负责人:
  • 金额:
    $ 97.16万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Fellowship
  • 财政年份:
    2020
  • 资助国家:
    英国
  • 起止时间:
    2020 至 无数据
  • 项目状态:
    未结题

项目摘要

This project aims at resolving airflow in and around buildings to better understand urban air pollution. According to the World Health Organization (WHO), 80% of people living in urban areas are exposed to unsafe levels of air pollution and with it an increased risk of heart disease, lung cancer, and respiratory disease. This research will study how pollution disperses in urban areas, in order to improve the pollution dispersion models used to make air quality forecasts and that inform urban planning and policy. Experiments will be conducted on scale models in a controlled laboratory flow facility. The measured flow patterns can then be related to full-scale atmospheric flows, in the same way wind tunnel tests of scale models provide insights to vehicle aerodynamics. The majority of experiments will take place in a water flume facility and passive tracers will be released at key points around the model, as a surrogate for air pollution. The use of the water flume permits the use of advanced laser-based measurement tools that can capture full two-dimensional quantitative images of the dispersion process both at the fine scales near the pollution sources and at the city scale. This is the key feature that differentiates this work from previous wind tunnel and in-situ measurements of dispersion, which are typically limited to point measurements. The fellows is uniquely positioned to conduct these novel spatial measurements due to her expertise with the experimental techniques and her previous background analysing coherent structures and mixing in canonical turbulent shear flows. The University of Southampton is particularly suitable location for this research because of the combination of having a suitable water flume facility as well as the required high-resolution camera and laser systems.This study is particularly timely as governments focus on improving environmental sustainability and air quality in cities. These results will improve our ability to inform local council and industry on how pollution disperses around the city, aiding them in making decisions impacting financial and environmental sustainability and public health and safety. In addition to these societal impacts, these results will have academic impact by improving meteorological models. Existing dispersion models focus on time-averaged predictions; however, these models struggle to predict spatio-temporal fluctuations and peak exposures, especially near the source. Understanding these dynamics is important for air quality, as even short term exposure to toxic gases and airborne particulate matter can have adverse health impacts. These results will improve our understanding of the underlying physics in order to guide theories and improve models for predicting the dynamics of pollution dispersion in complex urban regions.
该项目旨在解决建筑物内部和周围的气流问题,以更好地了解城市空气污染。根据世界卫生组织 (WHO) 的数据,80% 的城市居民面临不安全水平的空气污染,患心脏病、肺癌和呼吸道疾病的风险也随之增加。这项研究将研究污染如何在城市地区扩散,以改进用于空气质量预测并为城市规划和政策提供信息的污染扩散模型。实验将在受控实验室流动设施中的比例模型上进行。然后,测量的流动模式可以与全尺寸大气流动相关联,就像比例模型的风洞测试可以为车辆空气动力学提供见解一样。大部分实验将在水槽设施中进行,被动示踪剂将在模型周围的关键点释放,作为空气污染的替代物。水槽的使用允许使用先进的基于激光的测量工具,这些工具可以在污染源附近的精细尺度和城市尺度上捕获分散过程的完整二维定量图像。这是这项工作与之前的风洞和现场色散测量的关键特征,后者通常仅限于点测量。由于她在实验技术方面的专业知识以及她之前分析规范湍流剪切流中的相干结构和混合的背景,这些研究员在进行这些新颖的空间测量方面处于独特的地位。南安普顿大学特别适合进行这项研究,因为它拥有合适的水槽设施以及所需的高分辨率相机和激光系统。这项研究特别及时,因为各国政府致力于改善环境可持续性和空气质量在城市。这些结果将提高我们向当地议会和行业通报污染如何在城市中扩散的能力,帮助他们做出影响金融和环境可持续性以及公共健康和安全的决策。除了这些社会影响之外,这些结果还将通过改进气象模型产生学术影响。现有的离散模型侧重于时间平均预测;然而,这些模型很难预测时空波动和峰值暴露,尤其是在源头附近。了解这些动态对于空气质量非常重要,因为即使是短期接触有毒气体和空气中的颗粒物也会对健康产生不利影响。这些结果将增进我们对基础物理学的理解,从而指导理论并改进预测复杂城市地区污染扩散动态的模型。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Simulation of traffic-related air pollution in Southampton using computer-based modelling
使用计算机建模模拟南安普敦与交通相关的空气污染
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Gan B
  • 通讯作者:
    Gan B
Impact of Local Terrain Features on Urban Airflow
当地地形特征对城市气流的影响
  • DOI:
    http://dx.10.1007/s10546-023-00831-z
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    4.3
  • 作者:
    Coburn M
  • 通讯作者:
    Coburn M
Turbulent dispersion of a passive scalar in a smooth-wall turbulent boundary layer
光滑壁湍流边界层中被动标量的湍流弥散
  • DOI:
    http://dx.10.1017/jfm.2023.562
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Lim H
  • 通讯作者:
    Lim H
Turbulent Flows: an Introduction
湍流:简介
  • DOI:
    http://dx.10.1088/978-0-7503-3619-2
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Castro I
  • 通讯作者:
    Castro I
Experimental investigation of scalar dispersion in indoor spaces
室内空间标量色散的实验研究
  • DOI:
    10.1016/j.buildenv.2024.111167
  • 发表时间:
    2024-01-01
  • 期刊:
  • 影响因子:
    7.4
  • 作者:
    H. D. Lim;T. Foat;S. Parker;C. V;erwel;erwel
  • 通讯作者:
    erwel
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Christina Vanderwel其他文献

Variability of physical meteorology in urban areas at different scales: implications for air quality
  • DOI:
    10.1039/d0fd00098a
  • 发表时间:
    2020-08
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Denise Hertwig;Sue Grimmond;Simone Kotthaus;Christina Vanderwel;Hannah Gough;Martial Haeffelin;Alan Robins
  • 通讯作者:
    Alan Robins

Christina Vanderwel的其他文献

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{{ truncateString('Christina Vanderwel', 18)}}的其他基金

Simulating Urban Air Pollution In The Lab
在实验室模拟城市空气污染
  • 批准号:
    MR/Y020014/1
  • 财政年份:
    2024
  • 资助金额:
    $ 97.16万
  • 项目类别:
    Fellowship

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城市群土地利用变化对空气质量影响的非线性机制及其优化决策模拟
  • 批准号:
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  • 批准年份:
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基于高密度观测和WRF-STILT模拟的城市空气污染过程及源排放研究
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  • 批准号:
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    56 万元
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    面上项目
消减空气颗粒物的城市灰绿空间“源—流—汇”耦合模拟研究
  • 批准号:
    52178041
  • 批准年份:
    2021
  • 资助金额:
    58 万元
  • 项目类别:
    面上项目
城市高架道路对微尺度湍流和空气污染物扩散的影响
  • 批准号:
    41805102
  • 批准年份:
    2018
  • 资助金额:
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  • 项目类别:
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相似海外基金

Simulating Urban Air Pollution In The Lab
在实验室模拟城市空气污染
  • 批准号:
    MR/Y020014/1
  • 财政年份:
    2024
  • 资助金额:
    $ 97.16万
  • 项目类别:
    Fellowship
REU Site: Community-Soil-Air-Water: A Geoscience Learning Ecosystem for Urban Environments
REU 网站:社区-土壤-空气-水:城市环境的地球科学学习生态系统
  • 批准号:
    2348995
  • 财政年份:
    2024
  • 资助金额:
    $ 97.16万
  • 项目类别:
    Standard Grant
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项目 1:绿色空间,增强抵御气候变化对健康影响的能力:好的、坏的和未来
  • 批准号:
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  • 财政年份:
    2023
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铅(Pb)诱导的老年人群及后代神经行为疾病的转录组和表观遗传机制
  • 批准号:
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  • 财政年份:
    2023
  • 资助金额:
    $ 97.16万
  • 项目类别:
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  • 批准号:
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  • 财政年份:
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