Yaman Y., Tokuç A., Akış T., Ayol A., Tuna Tuygun G., Ezan M. A., ...Daha Fazla
E3S Web of Conferences, cilt.721, ss.1-7, 2026 (Düzenli olarak gerçekleştirilen hakemli kongrenin bildiri kitabı)
Özet
Buildings designed to be isolated from the outdoor environment for energy efficiency have created a paradox, turning indoor spaces into environments where pollutants can accumulate. This situation has transformed the indoor air quality (IAQ) from a comfort parameter into a critical public health concern. This study presents an experimental investigation of how different operational scenarios influence indoor pollutant concentrations. Instead of applying a uniform approach, the factors influencing IAQ are examined holistically, accounting for both internal variables and interactions with outdoor and surrounding environments. For this purpose, multi-pollutant sensor units were placed in indoor, corridor, and outdoor environments to simultaneously measure pollutants including CO
2
, PM
2.5
, HCHO, VOC, NO
2
, and O
3
, alongside temperature and humidity. Statistical analyses conducted across three different operational scenarios showed the effects of occupancy and ventilation. The Spearman analysis proved the “
dilution and masking
” effects of ventilation on occupant-generated emissions. Furthermore, correlations between temperature and HCHO, and between PM
2.5
and humidity, reveal that buildings are not isolated, static structures but dynamic systems shaped by infiltration and atmospheric conditions. Thus, the findings highlight the need for multivariate statistical approaches, such as Linear Mixed Models (LMM), to better capture interactions among indoor and outdoor variables.