Modelling mould growth in domestic environments using relative humidity and temperature
نویسندگان
چکیده
Damp and high levels of relative humidity (RH), typically above 70–80%, are known to provide mould-favourable conditions. Exposure indoor mould contamination has been associated with an increased risk developing and/or exacerbating a range allergic non-allergic diseases. The VTT model is mathematical growth that was developed based on surface readings RH temperature wood in controlled laboratory chamber. provides index the environmental readings. We test generalisability this laboratory-based less-controlled domestic environments across different values parameters. Mould indices were generated using objective measurements air, taken from sensors setting every 3–5 min over 1 year living room bedroom 219 homes. assessed against self-reports occupants regarding presence visible mouldy odour home. Logistic regression provided evidence for relationships between occupant responses. most successful at predicting responses when parameters encouraged higher vulnerability compared original model. A lower critical level, which grows, sensitivity, larger increases all consistently performance. Using moment-to-moment time-series data RH, its developments could help inform smart monitoring or control example counter risks reduced ventilation energy efficient
منابع مشابه
Temperature and relative humidity effects
State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710075, China State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of S...
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ژورنال
عنوان ژورنال: Building and Environment
سال: 2022
ISSN: ['0360-1323', '1873-684X']
DOI: https://doi.org/10.1016/j.buildenv.2021.108583