FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1990995679> ?p ?o ?g. }

• W1990995679 endingPage "1029" @default.
• W1990995679 startingPage "1019" @default.
• W1990995679 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." @default.
• W1990995679 created "2016-06-24" @default.
• W1990995679 creator A5006514485 @default.
• W1990995679 creator A5026393136 @default.
• W1990995679 creator A5040302008 @default.
• W1990995679 creator A5060773491 @default.
• W1990995679 creator A5064147154 @default.
• W1990995679 creator A5073725037 @default.
• W1990995679 date "2011-07-01" @default.
• W1990995679 modified "2023-10-14" @default.
• W1990995679 title "Flood management: Prediction of microbial contamination in large-scale floods in urban environments" @default.
• W1990995679 cites W1597959609 @default.
• W1990995679 cites W1902412051 @default.
• W1990995679 cites W1964431514 @default.
• W1990995679 cites W1966931327 @default.
• W1990995679 cites W1970106236 @default.
• W1990995679 cites W1971516235 @default.
• W1990995679 cites W1971982133 @default.
• W1990995679 cites W1972721171 @default.
• W1990995679 cites W1984110346 @default.
• W1990995679 cites W1990941500 @default.
• W1990995679 cites W1993069782 @default.
• W1990995679 cites W1997699743 @default.
• W1990995679 cites W2000788967 @default.
• W1990995679 cites W2001516960 @default.
• W1990995679 cites W2003740227 @default.
• W1990995679 cites W2007056276 @default.
• W1990995679 cites W2008542101 @default.
• W1990995679 cites W2010239227 @default.
• W1990995679 cites W2010908684 @default.
• W1990995679 cites W2014771673 @default.
• W1990995679 cites W2017930833 @default.
• W1990995679 cites W2018444498 @default.
• W1990995679 cites W2018821586 @default.
• W1990995679 cites W2022590956 @default.
• W1990995679 cites W2022997752 @default.
• W1990995679 cites W2035166309 @default.
• W1990995679 cites W2035544061 @default.
• W1990995679 cites W2036563477 @default.
• W1990995679 cites W2038932384 @default.
• W1990995679 cites W2043008392 @default.
• W1990995679 cites W2043889510 @default.
• W1990995679 cites W2045721504 @default.
• W1990995679 cites W2056786279 @default.
• W1990995679 cites W2062837634 @default.
• W1990995679 cites W2074523926 @default.
• W1990995679 cites W2074719736 @default.
• W1990995679 cites W2076099582 @default.
• W1990995679 cites W2082672705 @default.
• W1990995679 cites W2100509550 @default.
• W1990995679 cites W2102301930 @default.
• W1990995679 cites W2104244273 @default.
• W1990995679 cites W2107684181 @default.
• W1990995679 cites W2107714283 @default.
• W1990995679 cites W2112685744 @default.
• W1990995679 cites W2114258851 @default.
• W1990995679 cites W2114476445 @default.
• W1990995679 cites W2116448293 @default.
• W1990995679 cites W2118754479 @default.
• W1990995679 cites W2123906645 @default.
• W1990995679 cites W2129942792 @default.
• W1990995679 cites W2132556630 @default.
• W1990995679 cites W2133665337 @default.
• W1990995679 cites W2135404947 @default.
• W1990995679 cites W2137539260 @default.
• W1990995679 cites W2140674158 @default.
• W1990995679 cites W2142741705 @default.
• W1990995679 cites W2142856461 @default.
• W1990995679 cites W2146228081 @default.
• W1990995679 cites W2154004068 @default.
• W1990995679 cites W2156002136 @default.
• W1990995679 cites W2156785500 @default.
• W1990995679 cites W2159086218 @default.
• W1990995679 cites W2159822828 @default.
• W1990995679 cites W2161778971 @default.
• W1990995679 cites W2163822464 @default.
• W1990995679 cites W2168104507 @default.
• W1990995679 doi "https://doi.org/10.1016/j.envint.2011.03.015" @default.
• W1990995679 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21481472" @default.
• W1990995679 hasPublicationYear "2011" @default.
• W1990995679 type Work @default.
• W1990995679 sameAs 1990995679 @default.
• W1990995679 citedByCount "80" @default.
• W1990995679 countsByYear W19909956792012 @default.
• W1990995679 countsByYear W19909956792013 @default.
• W1990995679 countsByYear W19909956792014 @default.
• W1990995679 countsByYear W19909956792015 @default.
• W1990995679 countsByYear W19909956792016 @default.
• W1990995679 countsByYear W19909956792017 @default.
• W1990995679 countsByYear W19909956792018 @default.
• W1990995679 countsByYear W19909956792019 @default.
• W1990995679 countsByYear W19909956792020 @default.
• W1990995679 countsByYear W19909956792021 @default.
• W1990995679 countsByYear W19909956792022 @default.
• W1990995679 countsByYear W19909956792023 @default.
• W1990995679 crossrefType "journal-article" @default.
• W1990995679 hasAuthorship W1990995679A5006514485 @default.
• W1990995679 hasAuthorship W1990995679A5026393136 @default.

• next