Indoor air quality management based on fuzzy risk assessment and its case study

Abstract

A fuzzy synthetic model combined with risk scores contour was developed for indoor air quality (IAQ) assessment and management of office building. This research makes up for the shortcomings of previous methods for IAQ assessment, describing a modeling study that estimates baseline health impacts associated with physical comfort and biological impacts with risk scores contour for indoor air quality. In details, this model is used to establish a set of chemicals, physical and biological air pollution factors related to evaluation criteria, which can comprehensively evaluate the impact of various co-existing pollutants (such as formaldehyde and TVOC) on the indoor environment. The practicability and performance of the method are tested by taking the indoor air quality of a standard office building in Shanghai as an example. The results indicate that Room 1013 shows the poorest score in terms of pollution impact and comfort level. The results show that fuzzy comprehensive evaluation can solve the problem of ambiguity, inconsistency, and lack of discrimination of air pollutants in buildings. This approach also provides flexibility and technical details for indoor air quality management. This method helps to monitor air pollutants more effectively and apply to building design to ensure acceptable indoor air quality.