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

Environment International

Volumn 51, Issue , 2013, Pages 182-195

  Taylor, Jonathon ^a,b   Biddulph, Phillip ^a   Davies, Michael ^a   Lai, Ka man ^b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Building simulation; Flood; GIS; Hygrothermal; Mould; Urban

Indexed keywords

APARTMENT HOUSES; BUILDINGS; COMPUTER SIMULATION; DRYING; GEOGRAPHIC INFORMATION SYSTEMS; MOLDS; RISK PERCEPTION;

BUILDING CONSTRUCTION; BUILDING SIMULATION; BUILDING STOCKS; BUILDING STRUCTURE; DIFFERENT HEIGHTS; DRY-OUT; DRYING CONDITION; DRYING RATES; ENERGYPLUS; FLOOD EVENT; FLOOD WATERS; HUMAN PATHOGENS; HYGROTHERMAL; MICROBIAL GROWTH; URBAN; URBAN FLOODS;

FLOODS;

BUILDING; COMPUTER SIMULATION; FLOOD; FLOODING; GIS; MICROBIAL ACTIVITY; MICROORGANISM; PRECIPITATION INTENSITY;

ARTICLE; BUILDING; COMPUTER MODEL; CONTROLLED STUDY; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL FACTOR; ENVIRONMENTAL IMPACT ASSESSMENT; FLOODING; GEOGRAPHIC INFORMATION SYSTEM; INFECTION RISK; INTERMETHOD COMPARISON; LOW TEMPERATURE PROCEDURES; NONHUMAN; PREDICTION; PRIORITY JOURNAL; PROCESS MODEL; RISK ASSESSMENT; RISK FACTOR; SIMULATION; SOCIAL ASPECT; THERMAL ANALYSIS; URBAN AREA;

ENGLAND; LONDON [ENGLAND]; UNITED KINGDOM;

EID: 84872872817     PISSN: 01604120     EISSN: 18736750     Source Type: Journal    
DOI: 10.1016/j.envint.2012.10.006     Document Type: Article

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