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Flood management: Prediction of microbial contamination in large-scale floods in urban environments

Research output: Contribution to journalReview ArticleScientificpeer-review

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Flood management : Prediction of microbial contamination in large-scale floods in urban environments. / Taylor, Jonathon; Lai, Ka man; Davies, Michael; Clifton, David; Ridley, Ian; Biddulph, Phillip.

In: Environment International, Vol. 37, No. 5, 01.01.2011, p. 1019-1029.

Research output: Contribution to journalReview ArticleScientificpeer-review

Harvard

Taylor, J, Lai, KM, Davies, M, Clifton, D, Ridley, I & Biddulph, P 2011, 'Flood management: Prediction of microbial contamination in large-scale floods in urban environments', Environment International, vol. 37, no. 5, pp. 1019-1029. https://doi.org/10.1016/j.envint.2011.03.015

APA

Taylor, J., Lai, K. M., Davies, M., Clifton, D., Ridley, I., & Biddulph, P. (2011). Flood management: Prediction of microbial contamination in large-scale floods in urban environments. Environment International, 37(5), 1019-1029. https://doi.org/10.1016/j.envint.2011.03.015

Vancouver

Taylor J, Lai KM, Davies M, Clifton D, Ridley I, Biddulph P. Flood management: Prediction of microbial contamination in large-scale floods in urban environments. Environment International. 2011 Jan 1;37(5):1019-1029. https://doi.org/10.1016/j.envint.2011.03.015

Author

Taylor, Jonathon ; Lai, Ka man ; Davies, Michael ; Clifton, David ; Ridley, Ian ; Biddulph, Phillip. / Flood management : Prediction of microbial contamination in large-scale floods in urban environments. In: Environment International. 2011 ; Vol. 37, No. 5. pp. 1019-1029.

Bibtex - Download

@article{76d70cf23e684cc994f202137aded48c,
title = "Flood management: Prediction of microbial contamination in large-scale floods in urban environments",
abstract = "With a changing climate and increased urbanisation, the occurrence and the impact of flooding is expected to increase significantly. Floods can bring pathogens into homes and cause lingering damp and microbial growth in buildings, with the level of growth and persistence dependent on the volume and chemical and biological content of the flood water, the properties of the contaminating microbes, and the surrounding environmental conditions, including the restoration time and methods, the heat and moisture transport properties of the envelope design, and the ability of the construction material to sustain the microbial growth. The public health risk will depend on the interaction of these complex processes and the vulnerability and susceptibility of occupants in the affected areas. After the 2007 floods in the UK, the Pitt review noted that there is lack of relevant scientific evidence and consistency with regard to the management and treatment of flooded homes, which not only put the local population at risk but also caused unnecessary delays in the restoration effort. Understanding the drying behaviour of flooded buildings in the UK building stock under different scenarios, and the ability of microbial contaminants to grow, persist, and produce toxins within these buildings can help inform recovery efforts. To contribute to future flood management, this paper proposes the use of building simulations and biological models to predict the risk of microbial contamination in typical UK buildings. We review the state of the art with regard to biological contamination following flooding, relevant building simulation, simulation-linked microbial modelling, and current practical considerations in flood remediation. Using the city of London as an example, a methodology is proposed that uses GIS as a platform to integrate drying models and microbial risk models with the local building stock and flood models. The integrated tool will help local governments, health authorities, insurance companies and residents to better understand, prepare for and manage a large-scale flood in urban environments.",
keywords = "Climate change, Flood, GIS, Hygrothermal, Modelling, Pathogen",
author = "Jonathon Taylor and Lai, {Ka man} and Michael Davies and David Clifton and Ian Ridley and Phillip Biddulph",
year = "2011",
month = "1",
day = "1",
doi = "10.1016/j.envint.2011.03.015",
language = "English",
volume = "37",
pages = "1019--1029",
journal = "Environment International",
issn = "0160-4120",
publisher = "Elsevier",
number = "5",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Flood management

T2 - Prediction of microbial contamination in large-scale floods in urban environments

AU - Taylor, Jonathon

AU - Lai, Ka man

AU - Davies, Michael

AU - Clifton, David

AU - Ridley, Ian

AU - Biddulph, Phillip

PY - 2011/1/1

Y1 - 2011/1/1

N2 - With a changing climate and increased urbanisation, the occurrence and the impact of flooding is expected to increase significantly. Floods can bring pathogens into homes and cause lingering damp and microbial growth in buildings, with the level of growth and persistence dependent on the volume and chemical and biological content of the flood water, the properties of the contaminating microbes, and the surrounding environmental conditions, including the restoration time and methods, the heat and moisture transport properties of the envelope design, and the ability of the construction material to sustain the microbial growth. The public health risk will depend on the interaction of these complex processes and the vulnerability and susceptibility of occupants in the affected areas. After the 2007 floods in the UK, the Pitt review noted that there is lack of relevant scientific evidence and consistency with regard to the management and treatment of flooded homes, which not only put the local population at risk but also caused unnecessary delays in the restoration effort. Understanding the drying behaviour of flooded buildings in the UK building stock under different scenarios, and the ability of microbial contaminants to grow, persist, and produce toxins within these buildings can help inform recovery efforts. To contribute to future flood management, this paper proposes the use of building simulations and biological models to predict the risk of microbial contamination in typical UK buildings. We review the state of the art with regard to biological contamination following flooding, relevant building simulation, simulation-linked microbial modelling, and current practical considerations in flood remediation. Using the city of London as an example, a methodology is proposed that uses GIS as a platform to integrate drying models and microbial risk models with the local building stock and flood models. The integrated tool will help local governments, health authorities, insurance companies and residents to better understand, prepare for and manage a large-scale flood in urban environments.

AB - With a changing climate and increased urbanisation, the occurrence and the impact of flooding is expected to increase significantly. Floods can bring pathogens into homes and cause lingering damp and microbial growth in buildings, with the level of growth and persistence dependent on the volume and chemical and biological content of the flood water, the properties of the contaminating microbes, and the surrounding environmental conditions, including the restoration time and methods, the heat and moisture transport properties of the envelope design, and the ability of the construction material to sustain the microbial growth. The public health risk will depend on the interaction of these complex processes and the vulnerability and susceptibility of occupants in the affected areas. After the 2007 floods in the UK, the Pitt review noted that there is lack of relevant scientific evidence and consistency with regard to the management and treatment of flooded homes, which not only put the local population at risk but also caused unnecessary delays in the restoration effort. Understanding the drying behaviour of flooded buildings in the UK building stock under different scenarios, and the ability of microbial contaminants to grow, persist, and produce toxins within these buildings can help inform recovery efforts. To contribute to future flood management, this paper proposes the use of building simulations and biological models to predict the risk of microbial contamination in typical UK buildings. We review the state of the art with regard to biological contamination following flooding, relevant building simulation, simulation-linked microbial modelling, and current practical considerations in flood remediation. Using the city of London as an example, a methodology is proposed that uses GIS as a platform to integrate drying models and microbial risk models with the local building stock and flood models. The integrated tool will help local governments, health authorities, insurance companies and residents to better understand, prepare for and manage a large-scale flood in urban environments.

KW - Climate change

KW - Flood

KW - GIS

KW - Hygrothermal

KW - Modelling

KW - Pathogen

UR - http://www.scopus.com/inward/record.url?scp=79955606527&partnerID=8YFLogxK

U2 - 10.1016/j.envint.2011.03.015

DO - 10.1016/j.envint.2011.03.015

M3 - Review Article

VL - 37

SP - 1019

EP - 1029

JO - Environment International

JF - Environment International

SN - 0160-4120

IS - 5

ER -