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利用 GIS、建筑模拟和微生物模型预测城市洪水的微生物暴露风险。

Predicting the microbial exposure risks in urban floods using GIS, building simulation, and microbial models.

机构信息

The Bartlett School of Graduate Studies, UCL, London, United Kingdom.

出版信息

Environ Int. 2013 Jan;51:182-95. doi: 10.1016/j.envint.2012.10.006. Epub 2012 Dec 23.

DOI:10.1016/j.envint.2012.10.006
PMID:23266909
Abstract

London is expected to experience more frequent periods of intense rainfall and tidal surges, leading to an increase in the risk of flooding. Damp and flooded dwellings can support microbial growth, including mould, bacteria, and protozoa, as well as persistence of flood-borne microorganisms. The amount of time flooded dwellings remain damp will depend on the duration and height of the flood, the contents of the flood water, the drying conditions, and the building construction, leading to particular properties and property types being prone to lingering damp and human pathogen growth or persistence. The impact of flooding on buildings can be simulated using Heat Air and Moisture (HAM) models of varying complexity in order to understand how water can be absorbed and dry out of the building structure. This paper describes the simulation of the drying of building archetypes representative of the English building stock using the EnergyPlus based tool 'UCL-HAMT' in order to determine the drying rates of different abandoned structures flooded to different heights and during different seasons. The results are mapped out using GIS in order to estimate the spatial risk across London in terms of comparative flood vulnerability, as well as for specific flood events. Areas of South and East London were found to be particularly vulnerable to long-term microbial exposure following major flood events.

摘要

伦敦预计将经历更频繁的强降雨和潮汐浪涌,导致洪水风险增加。潮湿和被洪水淹没的住宅可以支持微生物的生长,包括霉菌、细菌和原生动物,以及洪水传播的微生物的持续存在。被洪水淹没的住宅保持潮湿的时间将取决于洪水的持续时间和高度、洪水的内容、干燥条件和建筑结构,导致特定的属性和物业类型容易出现潮湿和人类病原体生长或持续存在的问题。可以使用不同复杂程度的 Heat Air and Moisture (HAM) 模型来模拟洪水对建筑物的影响,以了解水如何被建筑物结构吸收和干燥。本文描述了使用基于 EnergyPlus 的工具“UCL-HAMT”对代表英国建筑存量的建筑原型进行干燥模拟,以确定不同高度和不同季节被洪水淹没的不同废弃结构的干燥速率。结果使用 GIS 进行映射,以便根据比较洪水脆弱性以及特定洪水事件来估算伦敦整个地区的空间风险。发现伦敦南部和东部地区在遭遇重大洪水事件后,特别容易受到长期微生物暴露的影响。

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