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certain.1 - climate and environment risk through transparent analytics and intelligent networks phase 1

certain.1 - climate and environment risk through transparent analytics and intelligent networks phase 1
certain.1 - 通过透明分析和智能网络第一阶段的气候和环境风险
批准号:
10030670
负责人:
金额:
$5.89万
依托单位:
依托单位国家:
英国
项目类别:
Small Business Research Initiative
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
Climate and Environment Risk through Transparent Analytics and Intelligent Networks phase.1Certain.1 proves the use of a self-powered intelligent environmental monitoring solutions through eLaneq; to understand the risks and develop the necessary tools to mitigate and adapt to climate and environment changes.In 2021, 4.6 million UK homes overheated in the summer months, this will increase as temperature rise. Heatwaves are also becoming more frequent which have caused problems and overloaded off-grid and solar powered properties. eLaneq can provide the early warning signs needed to take mitigating action and prevent being left without power.Certain.1 produces environmental risk ratings similar to a credit rating and generates these within eLaneq without communications or host systems. These rating are able to determine chronic physical risks that remain unaddressed such as higher temperatures, buildings overheating, the unknown effects on air-pollution and ground level ozone, increases in subsistence, damp/excess-moisture and structural damage. Increasing heatwaves and the affects on transitional risk such as increased need for cooling in the summer.Certain.1 will further allow eLansys to develop a fully operational prototype system and fully engage and form strong relationships with the financial industry, end users, building owners, homeowners along with being fully active in the UK centre for greening Finance and Investment(GCFI) and UK Research and Innovation(UKRI) ecosystems.
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发展/减排路径(SSPs/RCPs)下中国未来人口迁移与集聚时空演变及其影响
  • 批准号:
    19ZR1415200
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2019
  • 负责人:
    夏海斌
  • 依托单位:
红树林生态系统对气候异常变化的响应与适应