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Process analysis, observations and modelling - Integrated solutions for cleaner air for Delhi (PROMOTE)

Process analysis, observations and modelling - Integrated solutions for cleaner air for Delhi (PROMOTE)
过程分析、观察和建模 - 德里清洁空气综合解决方案(PROMOTE)
批准号:
NE/P016391/1
负责人:
Ranjeet Sokhi
金额:
$93.09万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --

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Title: Process analysis, observations and modelling - Integrated solutions for cleaner air for Delhi (PROMOTE)Air pollution has been widely recognized as a major global health risk. Given that 1 in every 10 total deaths can be attributed to air pollution (World Bank 2016), there are major implications for the cities of the world. As part of the Indo-Gangetic Plain (IGP), Delhi is subject to air pollution from a complex mixture of sources. As a consequence of the complex emissions and meteorology of the region, particulate matter (PM as PM10 and PM2.5), nitrogen oxides (NOx, NO2), sulphur dioxide (SO2), carbon monoxide (CO) and black carbon (BC) all peak during post-monsoon periods and remain elevated during winter making the National Capital Region (NCR) one of the most polluted areas. Open questions remain regarding the inability of models to accurately predict air pollution during winter time fog events and quantifying incoming air pollution from large distances into Delhi.Over 4 years, PROMOTE aims to reduce uncertainties in air quality prediction and forecasting for Delhi by undertaking process orientated observational and modelling analyses and to derive the most effective mitigation solutions for reducing air pollution over the urban and surrounding region. PROMOTE brings together a cross-disciplinary team of leading researchers from India and the UK to deliver the project aims. Its investigations will address three key questions:Q1 What contribution is made by aerosols to the air pollution burden in Delhi?Q2 How does the lower atmospheric boundary layer affect the long range transport of air pollution incoming into Delhi?Q3 What are the most effective emission controls for mitigation interventions that will lead to significant reductions in air pollution and exposure levels over Delhi and the wider National Capital Region? To address the three key questions we will:1 Examine the contribution of secondary aerosols to the air pollution burden in Delhi during distinct meteorological seasons by developing a new representative model scheme for subtropical urban environments;2 Investigate how boundary layer interactions lead to high air pollution events during pre-monsoon and stable winter fog periods affecting Delhi; 3 Quantify local, urban and regional contributions to Delhi's air quality through an improved understanding of aerosols, long-range transport and boundary layer processes;4 Test the Delhi's air quality forecasting system incorporating improved understanding of aerosol pollution and atmospheric boundary layer processs;5 Develop the first multiscale modelling system for predicting high resolution concentrations of PM2.5, PM10, NO2 and other pollutants and then provide the analysis for developing effective mitigation strategies for Delhi;6 Synthesise and translate the outcomes of PROMOTE with other APHH projects to provide datasets for exposure and health studies and contribute to a roadmap for implementing effective local and regional mitigation strategies to meet current and future compliance and health requirements in Delhi and NCR. Through our analysis, we will deliver new knowledge on how local, urban and regional (LRT) sources of air pollution affect Delhi's air quality. With an improved understanding of aerosols and lower atmosphere dynamics, sensitivities between air pollutant concentrations and changes in local (e.g. traffic, industrial) and regional contributions will be quantified with a new multiscale modelling system for recommending interventions and mitigation options for Delhi.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
Quantifying effects of long-range transport of air pollutants over Delhi using back-trajectories and satellite NO 2 data
使用反向轨迹和卫星 NO 2 数据量化德里上空空气污染物远距离输送的影响
DOI: 10.5194/egusphere-2023-382
发表时间: 2023
期刊:
影响因子: --
作者: [Graham A]
通讯作者: Graham A
DOI: 10.5194/acp-2020-1023
发表时间: 2020
期刊:
影响因子: --
作者: [Biswal A]
通讯作者: Biswal A
High Resolution Forecasting of Air Quality and Exposure for Healthier Cities (HiRAE)
  • 批准号:
    NE/M021971/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $10.67万
  • 财政年份:
    2015
  • 负责人:
    Ranjeet Sokhi
  • 依托单位:
ClearfLo: Clean Air for London
  • 批准号:
    NE/H003185/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $11.42万
  • 财政年份:
    2010
  • 负责人:
    Ranjeet Sokhi
  • 依托单位:
Mesoscale Modelling for Air Pollution Applications (Meso-NET)
  • 批准号:
    NE/E002617/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $1.38万
  • 财政年份:
    2007
  • 负责人:
    Ranjeet Sokhi
  • 依托单位:
Mesoscale Modelling for Air Pollution Applications (Meso-NET)
  • 批准号:
    NE/E002692/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $17.99万
  • 财政年份:
    2007
  • 负责人:
    Ranjeet Sokhi
  • 依托单位:
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  • 项目类别:
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
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  • 负责人:
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  • 依托单位: