课题基金 / 基金详情

A top-down approach for apportioning black carbon aerosols to emission sources in regions with multiple competing contributors

A top-down approach for apportioning black carbon aerosols to emission sources in regions with multiple competing contributors
在具有多个竞争贡献者的地区,采用自上而下的方法将黑碳气溶胶分配给排放源
批准号:
RGPIN-2015-06784
负责人:
Du, Ke
金额:
$1.46万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

项目摘要

项目成果

Du, Ke的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Black carbon (BC), generated from incomplete combustion of carbonaceous fuels, is one of the two major airborne pollutants that drive climate change and degrade regional air quality. With a warming potential second to CO2, BC contributes the most uncertainty to climate modeling due to its short retention time in the atmosphere and poorly understood mixing, deposition, and contribution from various emission sources. BC from fossil fuel and biomass burning possesses distinct light absorbing properties and aging processes, and hence differing warming potentials. Therefore, improved source characterization is crucial for determining targets, formulating mitigation strategies, and increasing the accuracy of input anthropogenic aerosols in climate models. However, conventional bottom-up emission inventory (EI) methods have intrinsic limitations such as inaccurate emission factors, incomplete coverage of sources/sinks that cause large uncertainties.*******This research aims to develop an innovative, dual-isotope (14C-13C) based top-down approach to apportion BC to major sources as this approach eliminates the need of measuring emission factors or comprehensive surveying of sources. The near objective is to establish the method by improving the experimental procedures to minimize or quantify the level of interferences through a pilot study in Alberta where 1/3 of Canada BC is emitted from multiple competing sources. Molecular tracer studies combined with remote sensing data and air mass trajectory analysis will serve to validate the results of this method during the wildfire season. A mechanistic study is designed to investigate the removal mechanism of the two types of BC, so as to explain the discrepancy between the bottom-up and top-down approaches. The mid- and long term objectives are to apply this approach for investigating important BC emission regions in Canada to construct a multi-region database containing source-resolved BC emissions, based on which the impact of source-differentiated BC on the regional climate will be assessed.*******The outcome of this research is anticipated to bring immediate benefit to the BC community in that this method, with increased adaptivity, can possibly be adopted by other researches for sourcing BC at other important emission regions in the world. In the mid-long run, the datasets to be collected in this research will enable a better simulation of the Canadian climate system by providing more accurate source parameterization. The simulation results will in turn impact the regulatory sector by providing specific constraints for bottom-up emission inventories, which will assist policymakers to develop regionally tailored mitigation strategies for black carbon by selecting the right sector to target.***
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
A Hybrid Multi-Path Optical Remote Sensing System for Monitoring Fugitive Areal Emission of Methane
  • 批准号:
    RGPIN-2020-05223
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.89万
  • 财政年份:
    2022
  • 负责人:
    Du, Ke
  • 依托单位:
Development of predictive emission monitoring system (PEMS)
  • 批准号:
    535813-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $1.46万
  • 财政年份:
    2021
  • 负责人:
    Du, Ke
  • 依托单位:
A Hybrid Multi-Path Optical Remote Sensing System for Monitoring Fugitive Areal Emission of Methane
  • 批准号:
    RGPIN-2020-05223
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.89万
  • 财政年份:
    2021
  • 负责人:
    Du, Ke
  • 依托单位:
Development of predictive emission monitoring system (PEMS)
  • 批准号:
    535813-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $1.46万
  • 财政年份:
    2020
  • 负责人:
    Du, Ke
  • 依托单位:
国内基金
海外基金
复杂应力下沥青混合料Top-Down开裂性能的力学评价机制的研究
  • 批准号:
    52308428
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2023
  • 负责人:
    凌濛
  • 依托单位:
Top-Down方法可控制备PbS量子点及其光电性能研究
  • 批准号:
    --
  • 项目类别:
    地区科学基金项目
  • 资助金额:
    33万元
  • 批准年份:
    2022
  • 负责人:
    谭龙
  • 依托单位:
基于热量传递的传统固态发酵过程缩小(Scale-down)机理及调控
  • 批准号:
    22108101
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    靳光远
  • 依托单位:
基于Top-Down方法的场景文字检测模型设计与优化
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2021
  • 负责人:
  • 依托单位: