Issue |
E3S Web Conf.
Volume 118, 2019
2019 4th International Conference on Advances in Energy and Environment Research (ICAEER 2019)
|
|
---|---|---|
Article Number | 04004 | |
Number of page(s) | 4 | |
Section | Environmental Protection, Pollution and Treatment | |
DOI | https://doi.org/10.1051/e3sconf/201911804004 | |
Published online | 04 October 2019 |
Mould Contamination Experimental Study in Public Building Environment
1
School of Architecture and Construction, University of South China(USC), Hengyang, Hunan Province, China Postcode:421001
2
Hengyang Medical College, University of South China(USC), Hengyang, Hunan Province, China Postcode:421001
3
The Institute of Nuclear Science and Technology, University of South China(USC), Hengyang, Hunan Province, China Postcode:421001
4
School of Mechanical Engineering, University of South China(USC), Hengyang, Hunan Province, China Postcode:421001
* Corresponding author: cgjsccgj@126.com
This paper is aimed at the experimental study on mould contamination status. Mold contamination has seriously threatened residents’ physical and mental health and buildings. However, few experimental studies on mold contamination was made in the built environment under hot and humid climate. We firstly prepared the Sabaurauds agar(SAB) with reference to the national standard and set sampling points by the five-point sampling method in a classroom of USC. Then, we cultured the sample in 28 °C constant temperature condition, counted mould number with plate counting method and referred to the Omeilianski formula to calculate indoor mould concentration. The study found that the average concentration of mould spore in the typical public building was 629cfu/m3, and the exceeding rate was up to 25.8%. The results show that the typical public building environment in Hengyang has serious mould contamination, thus further environmental optimization research is urgently needed.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.