Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article Citation - WoS: 2Citation - Scopus: 4Subjectivity in Design Education: the Perception of the City Through Personal Maps(Blackwell Publishing, 2016) Yılmaz, EbruOur mental maps related to the cities are limited by our personal perception and fragmented in the process. There are many inner and outer effects that shape our mental maps, and as a result the fragmented whole refers to the total city image in our minds. To represent this image, an experimental study has been conducted with a group of students. They used mapping techniques to design subjective maps. Maps, in general, are objective, and produced by standardised techniques which connote similar meanings for everyone. In contrast, artists and designers use maps as liberating objects of representations. Thus, using mapping techniques, inventing new ways of narration and gaining new understandings towards the city we dwell in are the basic aims of this study. Final designs can be evaluated as tools to question subjectivity in both design and architectural education.Article Citation - WoS: 30Citation - Scopus: 34Polycyclic and Nitro Musks in Indoor Air: a Primary School Classroom and a Women's Sport Center(Blackwell Publishing, 2010) Sofuoğlu, Aysun; Kıymet, N.; Kavcar, Pınar; Sofuoğlu, Sait CemilIndoor air gas and particulate-phase samples (PM2.5) were collected from a primary school classroom and a women's sport center because children are one of the sensitive population subgroups and women are frequent users of personal care products in addition to the high level of activity in this specific microenvironment. PM2.5 was collected with a Harvard impactor, and polyurethane foam was used for the gas phase. Samples were ultrasonically extracted, concentrated, and analyzed with a GC-MS. The mean gas-phase concentrations in the classroom ranged from 0.12 ± 0.2 ng/m3 for MK to 267 ± 56 ng/m3 for HHCB, while it was from 0.08 ± 0.10 ng/m3 for AHMI to 144 ± 61 ng/m3 for HHCB in the sports center. Particulate-phase average concentrations in the sports center ranged from 0.22 ± 0.11 ng/m3 for ATII to 1.34 ± 071 ng/m3 for AHTN, while it ranged from 0.05 ± 0.02 ng/m3 (musk xylene) to 2.50 ± 0.94 ng/m3 (HHCB) in the classroom. Exposure-risk assessment showed that inhalation route is most probably far less significant than the dermal route; however, it should be noted that the exposure duration covered in this study was not the larger fraction of the dayArticle Citation - WoS: 37The Link Between Symptoms of Off Ice Building Occupants and In-Office Air Pollution: the Indoor Air Pollution Index(Blackwell Publishing, 2003) Sofuoğlu, Sait Cemil; Moschandreas, Demetrios J.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.