Health assessment across biological length scales for personal pollution exposure and its mitigation (INHALE)
Health assessment across biological length scales for personal pollution exposure and its mitigation (INHALE)
批准号:
EP/T003189/1
负责人:
Christopher Pain
金额:
$356.0万
依托单位:
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
项目状态:
已结题
起止时间:
2019 至 --
中文摘要
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英文摘要
To assess the impact of pollution on personal health in outdoor/indoor urban environments, we will develop a physics-based multi-scale approach across biological length scales from the cell, lung, person (surrounded by green infrastructure) up to the neighbourhood scale. We will examine the biophysical components of pollutants that determine their cellular fate, their potential for cell and tissue damage and how this relates to health outcomes. We will use airway models to assess particle deposition and effects on people's health as well as trace the pollution particles through an individual person down to the cellular level. The focus of the analysis will be on the immediate micro-environment (~20m) around a person. The integrated modelling will also represent various intervention scenarios (e.g. roadside hedges or medication for at-risk people such as asthmatics) to assess reduced exposure and corresponding changes in health outcomes. These biologic parameters of exposure will be integrated with the cardio-respiratory response to pollution in 80 participants using a combination of cardio-respiratory, physical activity and personal fine particles exposure monitors. We will numerically model the pollution and air flows at the neighbourhood scale and apply an approach centred on the impact of pollution on health to all aspects of modelling, sensor placement and management of the environment. Thus, any mitigation strategies can be designed to minimize the impact of pollution on health.We will model the dispersion of particles and their micro-physics within the neighbourhood with an emphasis on green infrastructure and their ability to mitigate pollution e.g. hedges can reduce heavy metal pollution. We will examine the physical effects and functional chemistry of the metals and organic components of particles at the ultracellular level to determine their interference to cell metabolism and health. We will use modelling to predict the outcomes of cell fate, so that we can back propagate biological potential of pollution particles (say) through to the individual and into the neighbourhood scale. Thus, modelling will be key at each length scale.
期刊论文(10)
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DOI:
10.1016/j.envpol.2020.114884
发表时间:
2020-10-01
期刊:
ENVIRONMENTAL POLLUTION
影响因子:
8.9
作者:
[Abhijith, K., V, Kumar, Prashant]
通讯作者:
Kumar, Prashant
DOI:
10.1007/s11869-021-00989-w
发表时间:
2021-02
期刊:
Air Quality, Atmosphere & Health
影响因子:
--
作者:
[K. Abhijith;Prashant Kumar]
通讯作者:
K. Abhijith;Prashant Kumar
DOI:
10.1136/bmjresp-2022-001574
发表时间:
2023-05
期刊:
BMJ open respiratory research
影响因子:
4.1
作者:
[]
通讯作者:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part V
计算科学 - ICCS 2021 - 第 21 届国际会议,波兰克拉科夫,2021 年 6 月 16-18 日,会议记录,第五部分
DOI:
10.1007/978-3-030-77977-1_30
发表时间:
2021
期刊:
影响因子:
--
作者:
[Amendola M]
通讯作者:
Amendola M
DOI:
10.1136/bmjresp-2020-000714
发表时间:
2020-11
期刊:
BMJ open respiratory research
影响因子:
4.1
作者:
[Alderawi A, Caramori G, Baker EH, Hitchings AW, Rahman I, Rossios C, Adcock I, Cassolari P, Papi A, Ortega VE, Curtis JL, Dunmore S, Kirkham P]
通讯作者:
Kirkham P
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Global Ocean Modelling with Adaptive Unstructured Grid Methods
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'Next Generation' unstructured mesh ocean global circulation modelling.
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