Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/4383
Title: The link between symptoms of office building occupants and in-office air pollution: the Indoor Air Pollution Index
Authors: Sofuoğlu, Sait Cemil
Moschandreas, Demetrios J.
Sofuoğlu, Sait Cemil
Izmir Institute of Technology. Chemical Engineering
Keywords: Indoor air pollution
Office buildings
Occupant symptoms
Index formulation
Environmental management
Issue Date: 2003
Publisher: Blackwell Publishing
Source: Sofuoğlu, S.C. and Moschandreas, D.J. (2003). The link between symptoms of office building occupants and in-office air pollution: the Indoor Air Pollution Index. Indoor Air, 13 (4), 332-343.
Abstract: The lack of an effective indoor air quality (IAQ) metric causes communication concerns among building tenants (the public),buildi ng managers (decision-makers),and IAQ investigators (engineers). The Indoor Air Pollution Index (IAPI) is developed for office buildings to bridge this communication discord. The index, simple and easily understood,employ s the range of pollutant concentrations and concentrations in the subject building to estimate a unitless single number,the IAPI,between 0 (lowest pollution level and best IAQ) and ten (highest pollution level and worst IAQ). The index provides a relative measure of indoor air pollution for office buildings and ranks office indoor air pollution relative to the index distribution of the US office building population. Furthermore,the index associates well with occupant symptoms,pe rcentage of occupants with persistent symptoms. A tree-structured method is utilized in conjunction with the arithmetic mean as the aggregation function. The hierarchical structure of the method renders not only one index value,but also several sub-index values that are critical in the study of an office air environment. The use of the IAPI for IAQ management is illustrated with an example. The decomposition of the index leads to the ranking of sampled pollutants by their relative contribution to the index and the identification of dominant pollutant(s). This information can be applied to design an effective strategy for reducing in-office air pollution.
URI: http://hdl.handle.net/11147/4383
Appears in Collections:Chemical Engineering / Kimya Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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