Mapping indoor overheating and air pollution risk modification across Great Britain: A modelling study
Mapping indoor overheating and air pollution risk modification across Great Britain: A modelling study
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绘制英国室内过热和空气污染风险修正图：一项建模研究
DOI：
10.1016/j.buildenv.2016.01.010
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发表时间：
2016
影响因子：
7.4
通讯作者：
P. Biddulph
中科院分区：
文献类型：
--
作者：
Jonathon Taylor;M. Davies;A. Mavrogianni;C. Shrubsole;I. Hamilton;P. Das;B. Jones;E. Oikonomou;P. Biddulph
长期以来，人们一直认为住房在人口暴露于高温和空气污染等环境危害方面发挥着重要作用。然而，很少有数据描述住房如何改变热量和空气污染暴露，从而可以估计住房在这些危害造成的健康不良和死亡率方面的作用。本文介绍了英国个人地址水平室内过热和空气污染风险修正剂的发展，用于大规模流行病学调查中的历史天气，室外空气污染，人口社会经济数据和死亡率数据。一个地理参考的住房存量数据库是利用家庭能源效率数据库（HEED）和英国住房调查（EHS）开发的。使用为EnergyPlus 8.0开发的建模框架对建筑、织物、职业和环境的独特组合进行了模拟，估计了室内温度指标、来自室外源的室内/室外污染比率以及来自多个室内源的室内空气污染。结果进行了汇编，匹配回个别属性HEED，并使用地理信息系统（GIS）映射。结果表明，城市地区有更多的建筑物容易过热，降低水平的室内空气污染从室外源，和较高的空气污染从室内源相对于农村地区，主要是由建筑类型的变化。结果提供了第一个全国范围内的热量和室内空气污染的定量估计修改的住宅，聚集在适合纳入健康分析的水平。
Housing has long been thought to play a significant role in population exposure to environmental hazards such as high temperatures and air pollution. However, there is sparse data describing how housing may modify heat and air pollution exposure such that housing's role in poor health and mortality from these hazards may be estimated. This paper describes the development of individual-address level indoor overheating and air pollution risk modifiers for Great Britain, for use alongside historical weather, outdoor air pollution, population socio-economic data, and mortality data in a large-scale epidemiological investigation. A geographically-referenced housing stock database was developed using the Homes Energy Efficiency Database (HEED) and the English Housing Survey (EHS). Simulations of unique combinations of building, fabric, occupation, and environment were run using a modelling framework developed for EnergyPlus 8.0, estimating indoor temperature metrics, indoor/outdoor ratio of pollution from outdoor sources, and indoor air pollution from multiple indoor sources. Results were compiled, matched back to individual properties in HEED, and mapped using Geographical Information Systems (GIS). Results indicate urban areas had higher numbers of buildings prone to overheating, reduced levels indoor air pollution from outdoor sources, and higher air pollution from indoor sources relative to rural areas, driven largely by variations in building types. The results provide the first national-scale quantitative estimate of heat and indoor air pollution modification by dwellings, aggregated at levels suitable for inclusion in health analysis.
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影响因子：
7.4
作者：
Mavrogianni, Anna;Wilkinson, Paul;Oikonomou, Eleni
通讯作者：
Oikonomou, Eleni
模拟伦敦城市热岛和住宅热质量对过热的相对重要性
影响因子：
7.4
作者：
Oikonomou E
通讯作者：
Oikonomou E
影响因子：
30.7
作者：
Bennett, James E.;Blangiardo, Marta;Ezzati, Majid
通讯作者：
Ezzati, Majid
影响因子：
9
作者：
Hamilton, Ian G.;Steadman, Philip J.;Lowe, Robert
通讯作者：
Lowe, Robert