BIOSMHARS: Biocontamination specific modelling in habitats related to space

Research output: Contribution to report/book/conference proceedingsChapter

Authors

  • Audrey Berthier
  • Natalie Leys
  • Rob Van Houdt
  • Alexander Tikhomirov
  • Natalia Novikova
  • Vacheslav Ilyin
  • Ilpo Kulmala
  • Matti Lehtimäki
  • Eero Kokkonen
  • Pertti Pasanen
  • Hafid Abaibou

Institutes & Expert groups

Documents & links

Abstract

Biocontamination in spacecrafts is a risk for the health of the crew and for the on-board equipment. The reduced immune response of astronauts and the degradation capacities of some microorganisms call for specific measures to prevent biocontamination, to monitor it and to counteract it. Prevention includes taking this aspect into account for future rational habitat designs. Specific for the spread of biological aerosols, the development of a reliable model describing the bio-aerosol contamination spreading and development in closed manned habitat is important to pinpoint critical locations in a certain habitat design. BIOSMHARS is the first phase of a joint EU-Russia research effort to develop the scientific and technical tools for a comprehensive approach to the challenging issue of biocontamination inside manned spacecrafts. The project intends to develop, to calibrate and to validate a mathematical model to predict the transportation of bioaerosols in a closed environment and the concurrent spread of biocontamination. This type of models should support in the future the validation of new habitat design and the development of adequate prevention and monitoring procedures for airborne microbial contamination.

Details

Original languageEnglish
Title of host publicationLet’s Embrace Space
Place of PublicationLuxembourg, Luxembourg
PublisherEC - European Commission
Pages278-284
Volume2
Edition1
ISBN (Print)978-92-79-22207-8
Publication statusPublished - Jul 2012

Publication series

NameLet's Embrace Space
Numbervolume 2

Keywords

  • human space flight, biocontamination, bioaerosol dispersion, modelling

ID: 200368