Megacity Delhi atmospheric emission quantification, assessment and impacts (DelhiFlux)

德里特大城市大气排放量化、评估和影响 (DelhiFlux)

• 批准号: NE/P016502/1
• 负责人: Eiko Nemitz
• 金额: $ 122.35万
• 依托单位: NERC CEH (Up to 30.11.2019)
• 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
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FP016502%2F1
• 关键词: Megacity; Delhi; atmospheric; emission; quantification; Megacity; Delhi; atmospheric; emission; quantification

Inventories of emissions of pollutants to air form the basis for model predictions of air quality, visibility, human exposure, human health impacts, and climate change. They are further required to understand relationships between individual source locations or source types and targets. None of the model predictions and analyses can be better than the emission database on which they are founded. This project seeks to greatly improve the emissions inventory for the wider Delhi area, one of the most polluted conurbations globally. The emission inventory will be compiled at a 1 km x 1 km resolution with diurnal and seasonal temporal profiles. It will cover NOx, SOx, NH3, total volatile compounds with breakdown into its chemical profile, particulate matter in fine (PM2.5) and coarse (PM10) size ranges, together with the toxic metal components within, as well as CO2 and CO as combustion tracers. To improve the emission inventory we will make laboratory-based measurements of emission factors and also measure, for the first time in India, the emissions from individual vehicles under real-world driving conditions to characterize the actual Delhi vehicle fleet. We will further perform the first micrometeorological flux measurements of these compounds above the city and study their enrichment along a transect. This will provide further information on potentially missing sources and serve as a direct assessment of the quality of the emissions inventory. We will further apply a state-of-the-art chemistry and transport model to infer the concentrations that would be expected on the basis of the new emissions inventory for comparison against concentration data from air quality networks and the wider NERC-MRC-MoES-DBT programme.ODA compliance:By providing the emissions data required to assess human exposure and develop cost-effective solutions to combat air pollution in Delhi, the project will target poverty and development issues. Accurate knowledge of emissions is a key factor underpinning the development of mitigation strategies which will deliver improved public health, whilst further allowing economic growth. Both the UK and Indian research teams will benefit from their interaction and exploitation of complementary expertise. The project will leave a legacy beyond the project lifetime by increasing the research capacity of the Indian teams and providing the knowledge base which will allow the findings to be extrapolated to the rest of India. Thus, the project findings will continue to contributing to the improvement of life and welfare of more than a billion people.

空气排放物排放的清单构成了模型预测空气质量，可见性，人类暴露，人类健康影响和气候变化的基础。他们需要进一步了解各个源位置或源类型和目标之间的关系。模型预测和分析都不比建立的发射数据库更好。该项目旨在极大地改善更广泛的德里地区的排放量，这是全球最严重的Conurbations之一。排放库存将以昼夜和季节性时间概况分辨率为1 km x 1 km。它将涵盖NOX，SOX，NH3，总挥发性化合物，分解为其化学剖面，颗粒物（PM2.5）和粗（PM10）尺寸范围以及内部的有毒金属成分，以及CO2和CO作为燃烧轨迹。为了改善排放库存，我们将对排放因素进行基于实验室的测量，并在印度首次衡量现实驾驶条件下单个车辆的排放，以表征实际的德里车队。我们将进一步对城市上方的这些化合物进行第一个微气候通量测量，并研究其沿横除的富集。这将提供有关潜在缺失资源的进一步信息，并直接评估排放库存的质量。 We will further apply a state-of-the-art chemistry and transport model to infer the concentrations that would be expected on the basis of the new emissions inventory for comparison against concentration data from air quality networks and the wider NERC-MRC-MoES-DBT programme.ODA compliance:By providing the emissions data required to assess human exposure and develop cost-effective solutions to combat air pollution in Delhi, the project will target poverty and development issues.准确的排放知识是基于缓解策略发展的关键因素，这些因素将带来改善的公共卫生，同时进一步允许经济增长。英国和印度研究团队都将受益于他们对互补专业知识的互动和开发。该项目将通过提高印度团队的研究能力并提供知识库，从而使遗产超出该项目的寿命，这将使调查结果可以推断到印度其他地区。因此，项目的发现将继续为超过十亿人口的生活和福利改善做出贡献。