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The Development of a Local Urban Climate Model and its Application to the Intelligent Development of Cities (LUCID)

The Development of a Local Urban Climate Model and its Application to the Intelligent Development of Cities (LUCID)
当地城市气候模型的开发及其在城市智能发展中的应用(LUCID)
批准号:
EP/E016308/1
负责人:
Maria Kolokotroni
金额:
$22.93万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2007
资助国家:
英国
项目状态:
已结题
起止时间:
2007 至 --

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中文摘要
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英文摘要
This project will develop world leading methods for calculating local temperature and air quality in the urban environment. The impact on energy use and the consequences for health of a changing climate will then be explored. The implications for urban planning will be considered in detail. Such methods applied to urban areas would contribute greatly to the generation of guidance in planning process and such modelling is seen as essential to estimate and predict the transition from the present unsuitable practices to more sustainable urban communitiesThere is overwhelming consensus that the climate is warming and an increasing recognition that decisions made now need to be informed by how the local climate will change. Current projections for the UK are for longer, hotter summers and wetter, windier winters, with the South-East warming by between 2.5oC and 4 oC by the 2080s. A change of this magnitude, particularly in summer will lead to much increased prevalence of overheating inside buildings. Humidity is also predicted to increase during the summers limiting the ability to cool buildings through natural ventilation. The frequency of summer days when there are very warm temperatures above 30oC will increase and associated urban heat island effects will lead to frequent extreme temperatures especially in large urban areas. Adapting to and ameliorating such dangerous conditions, whose deadly affects have recently been experienced, for instance in Chicago in 1995, in Greece in 2001 and in France in 2003, will require appropriate policies of urban planning, housing and transport. But before these policies can be developed, quantitative tools are required to identify and quantify the effectiveness of mitigation and adaptation strategies.Increased mortality clearly represents an extreme consequence of rising temperatures. However, it is clear that the proportion of the time that people will feel 'uncomfortable' has the potential to increase. This raises the possibility of a large increase in the use of mechanical cooling systems and a consequent rise in energy use, particularly in urban areas. Higher temperatures associated with the urban heat island are expected to make things worse. In particular, one strategy for passive cooling of buildings is through storing heat within the building fabric during the day and cooling through ventilation at night. But this method relies on the night time temperatures being sufficiently low. The urban heat island is typically most pronounced at night, and so it is important to know whether or not this method remains viable. Buildings both respond to and contribute to the local microclimate. Effective building design requires a knowledge of, and ways of dealing with, this microclimate. What is the way ahead? Currently, methods exist to estimate the broad magnitude of excess temperatures in urban areas and there have been some measurement campaigns. However, there are no established practical methods or tools for assessing the impact of local planning decisions (land use, building-layout orientation and design, size of open spaces or parks) on the fine details of the local climate. This project then will develop and test state-of-the-art methods for calculating local climate and air quality in the urban environment. The impact on the internal built environment, energy use and the consequences for health will then be explored. The implications for urban planning will be considered in detail.This proposal brings together a new consortium of meteorologists, building scientists, urban modellers, planners, urban and building designers and epidemiologists to research how cities can adapt to a changing climate. The proposal effectively unites two consortia / model developers and model users / in a most coherent manner.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1177/0143624411416064
发表时间: 2012-11
期刊: Building Services Engineering Research & Technology
影响因子: 1.7
作者: [C. Demanuele;A. Mavrogianni;M. Davies;M. Kolokotroni;I. Rajapaksha]
通讯作者: C. Demanuele;A. Mavrogianni;M. Davies;M. Kolokotroni;I. Rajapaksha
DOI: 10.1177/0143624410394530
发表时间: 2011-02-01
期刊: BUILDING SERVICES ENGINEERING RESEARCH & TECHNOLOGY
影响因子: 1.7
作者: [Mavrogianni, A., Davies, M., Ye, Z.]
通讯作者: Ye, Z.
DOI: 10.1177/0143624409104733
发表时间: 2009
期刊: Building Services Engineering Research and Technology
影响因子: 1.7
作者: [Kolokotroni M]
通讯作者: Kolokotroni M
DOI: 10.1016/j.enbuild.2011.12.019
发表时间: 2012-04-01
期刊: ENERGY AND BUILDINGS
影响因子: 6.7
作者: [Kolokotroni, M., Ren, X., Mavrogianni, A.]
通讯作者: Mavrogianni, A.
6
    Urban albedo computation in high latitude locations: An experimental approach
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      EP/P02517X/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $25.47万
    • 财政年份:
      2017
    • 负责人:
      Maria Kolokotroni
    • 依托单位:
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      11872210
    • 项目类别:
      面上项目
    • 资助金额:
      63.0万元
    • 批准年份:
      2018
    • 负责人:
      朱君
    • 依托单位:
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    • 批准号:
      81601936
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      17.0万元
    • 批准年份:
      2016
    • 负责人:
      曾羿
    • 依托单位: