课题基金 / 基金详情

Citizens' Data for Air Pollution (CitiDAir)

Citizens' Data for Air Pollution (CitiDAir)
公民空气污染数据 (CitiDAir)
批准号:
BB/T019301/1
负责人:
Miranda Loh
金额:
$2.56万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

项目摘要

项目成果

Miranda Loh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
Air pollution has figured prominently as one of the environmental crises of the day. There is now a market in consumer air monitors, which makes pollution monitoring more accessible to the public than before. Consumer monitors are distinguished from the pollution monitors used by researchers in terms of cost (these can be many times cheaper than research instruments), user friendliness, and quality (there is great uncertainty about the long-term reliability and accuracy of these monitors). Because of the existing national monitoring stations for air pollution are relatively few, mathematical models are often used to fill in missing data. However, models still require ground-level calibration from monitors, so there is still a need for higher resolution monitoring across space and time for improving model estimates. Establishment of a high resolution monitoring network is still cost-prohibitive. Mobile monitoring is another potential way of obtaining this high resolution data. Citizens could be a form of mobile monitoring, and we will explore the feasibility of developing a campaign to measure air pollution across time and space with citizens as data collectors. We will also explore the possibility of using consumer air monitors to determine whether this effort could be citizen-led, rather than relying on researchers to supply monitoring equipment. We will also explore how people interact with the data collection process and the data they collect, as well as the benefits they receive from this activity, to better incorporate citizen science into future air pollution exposure research.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Air Pollution Impacts on Cardiopulmonary Disease in Beijing: An integrated study of Exposure Science, Toxicogenomics and Environmental Epidemiology
  • 批准号:
    NE/N007182/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $63.09万
  • 财政年份:
    2016
  • 负责人:
    Miranda Loh
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: