Indoor mould spore concentrations can be predicted by using a mathematical model that accounts for the mechanisms of spore transportation in a building with a mechanical ventilation system. The developed model considers the parameters related to a ventilation system and cleaning activity, and calculates indoor spore concentration, indoor/outdoor ratio, and the amount of deposited spores on interior surfaces in each building case. To get a more realistic outcome, an uncertainty analysis is conducted in the model by considering uncertainties associated with the parameters. The analysis results provide the distribution of spore concentrations as a function of time and give possible ranges of outcome with probability. Thus, a more realistic evaluation is available with the mathematical model. In addition, the identification of dominant parameters that have a major influence on spore transportation is performed using an appropriate parameter screening technique. Based on the identified dominant parameters, recommendations can be made to maintain lower indoor spore concentrations in a specific building case. Application of the spore transportation model under uncertainty in an existing building is described in the paper.
Newport Partners: Building Moisture and Durability - Past, Present and Future Work: U.S. Department of Housing and Urban Development, Office of Policy Development and Research, 2004.
2.
Clark NM, Ammann HM, Brunekreef B., Eggleston P., Fisk WJ, Fullilove RE, Guernsey J., Nevalainen A., Essen SGV: Damp Indoor Spaces and Health. Washington D.C. , The National Academics Press, 2004.
3.
Bornehag C-G. , Blomquist G., Gyntelberg F., Jarvholm B., Malmberg P., Nordvall L., Nielsen A., Pershagen G., Sundell J.: Dampness in buildings and health: Indoor Air2001; 11(2):72-86.
4.
Burge HA, Pierson DL, Groves TO, Strawn KF, Mishra SK: Dynamics of airborne fungal populations in a large office building : Current Microbiology2000;40(1):10-16.
5.
Cooley J., Wong W., Jumper C., Straus D.: Correlation between the prevalence of certain fungi and sick building syndrome : Occup Environm Med1998;55:579-584.
6.
Miller JD, Haisley PD, Reinhardt JH: Air sampling results in relation to extent of fungal colonization of building materials in some water damaged buildings: Indoor Air2000;10(3):146-151.
7.
Raunemaa T., Kulmala M., Saari H., Olin M., Kulmala M.: Indoor air aerosol model: transport indoors and deposition of fine and coarse particles: Aerosol Sci Technol1989; 11:11-25.
8.
Kulmala M., Raunemaa T., Tapper U.: Deposition of indoor aerosols as determined by pixe analysis: Nucl Instr Methods Phys Res1987;22:337-339.
9.
Nazaroff WW, Cass GR: Protecting museum collections from soiling due to the deposition of airborne particles: Atmos Environ1991;25A:841-852.
10.
Kulmala M., Asmi A., Pirjola L.: Indoor air aerosol model: the effect of outdoor air filtration and ventilation on indoor concentrations: Atmos Environ1999 ; 33(14):2133-2144.
11.
Moon HJ: Assessing mold risks in buildings under uncertainty: PhD thesis, Georgia Institute of Technology, 2005 .
12.
Moon HJ: Evaluation of a fungal spore transportation in a building under uncertainty : Architect Res2006;8(1):37-45.
13.
Burge HA: An update on pollen and fungal spore aerobiology: J Allergy Clin Immunol2002;110(4):544-552.
14.
Pasanen AL, Pasanen P., Jantunen MJ, Kalliokoski P.: Significance of air humidity and air velocity for fungal spore release into the air: Atmos Environ1991;25A(2):459-462.
15.
Gorny RL, Reponen T., Grinshpun SA, Willeke K.: Source strength of fungal spore aerosolization from moldy building material : Atmos Environ2001;35(28):4853-4862.
16.
Ashrae: ASHARE Handbook HVAC Systems and Equipment. Atlanta, American Society of Heating, Refrigerating and Air-Conditioning Engineers , 2000.
17.
Nazaroff WW , Cass GR: Mathematical modelling of indoor aerosol dynamics: Environ Sci Technol1989 ;23(2):157-166.
Thatcher TL , Layton DW: Deposition, resuspension, and penetration of particles within a residence: Atmos Environ1995;29(13):1487- 1497.
20.
Dockery, DW , Spengler JD: Indoor-outdoor relationships of respirable sulfates and particles: Atmos Environ1981 ;15:335-343.
21.
Freed JR, Chambers T., Christie WN, Carpenter CE: Methods for assessing exposure to chemical substance, EPA 560/5-83-015, U.S. EPAOffice of Toxic Substances, 1983 .
De Wit S.: Identification of the important parameters in thermal building simulation models: J Stat Computat Simulat1997;57: 305-320.
30.
De Wit S. : Uncertainty in predictions of thermal comfort in buildings, Delft Technische University, 2001.
31.
Ashrae: ASHARE Handbook Fundamentals . Atlanta, American Society of Heating, Refrigerating and Air-Conditioning Engineers, 2001.
32.
Ashrae: ANSI/ASHRAE Standard 62-2001. Ventilation for Acceptable Indoor Air Quality. Atlanta, American Society of Heating, Refrigeration and Air-Conditioning Engineers, 2001.
33.
Van Dbronkhorst DA, Persily AK, Emmerich SJ: Energy impacts of air leakage in US office buildings: AIVC Conference1995;379-391
34.
Shelton BG, Kirkland KH, Flanders WD, Morris GK: Profiles of airborne fungi in buildings and outdoor environments in the United States: Applied and Environmental Microbiol2002;68:1743-1753.
35.
Ashrae: ASHARE Handbook Fundamentals: Chapter 26. Atlanta, American Society of Heating, Refrigerating and Air-Conditioning Engineers, 2001.
