The effects of air pollution on health have been generating attention for years. A large number of pulmonologists have recently expressed concerns about this in an open letter to Dutch Members of Parliament. Air pollution arises mainly in all kinds of combustion processes; in addition, atmospheric chemical reactions play a role in the formation of ozone and particulate matter. Health effects are both acute (increase in daily mortality and morbidity after days with increased concentrations of air pollution) as well as chronic (shortened life span and increased incidence of respiratory and cardiovascular diseases in areas with elevated concentrations of air pollution). These effects already occur at concentrations that are clearly lower than those currently observed in the Netherlands.

Air pollution and health

The indoor environment directly affects health and comfort as humans spend most of the day indoors. However, improperly controlled ventilation systems can expend unnecessary energy and increase health risks, while improved thermal and air quality can often result in higher energy consumption. One way to approach this dilemma is by understanding the effectiveness of the variables influencing indoor air quality (IAQ) related health and comfort. The objective of this paper is to highlight evidence and variables from empirical and deterministic models, which are combined in analytical models that current machine learning techniques often overlook. This paper reviews the analytical models and identifies the corresponding input variables, discussing their application in models based on artificial neural networks (ANNs) and reinforcement learning (RL). ANN and RL models have accurately described non-linear systems with uncertain dynamics and provided predictive and adaptive control strategies. The first part of this study focuses on the most common thermal comfort models and their variables, mainly related to steady-state and adaptive models. The second part reviews typical models of determining indoor air pollutants and their relationship with ventilation requirements and health effects. Forty-five works closely related to the field are summarized in multiple tables. The last part identifies the factors needed to predict thermal comfort and IAQ.

Measuring the right factors: A review of variables and models for thermal comfort and indoor air quality

A review on interactions between energy performance of the buildings, outdoor air pollution and the indoor air quality

A long-term multi-parametric monitoring study: Indoor air quality (IAQ) and the sources of the pollutants, prevalence of sick building syndrome (SBS) symptoms, and respiratory health indicators

Household indoor air quality and its associations with childhood asthma in Shanghai, China: On-site inspected methods and preliminary results

Association between respiratory health and indoor air pollution exposure in Canakkale, Turkey

The more the mold species isolated on a culture medium, the more the sampling environment is represented accurately. According to the sampling purpose, it is crucial to use the best culture medium for mold. However, no study is available regarding the comparison of dichloran rose bengal chloramphenicol (DRBC) and Sabouraud dextrose agar with cycloheximide and chloramphenicol (SDA-CHX-CHL) culture media in terms of their application for airborne sampling, isolation, and identification of fungi. Airborne mold samples were impacted onto both DRBC and SDA-CHX-CHL, simultaneously using single-stage Andersen sampler. The limit of detection (LOD) value for airborne mold count was 7 CFU m−3 (1 colony growth on the Petri dish). The total mold counts (TMC) ranged between <7 and 504 CFU m−3 (med 56 CFU m−3) and <7 and 1218 CFU m−3 (med 259 CFU m−3), collected on SDA-CHX-CHL and DRBC, respectively. Significantly higher TMC were observed on DRBC than on SDA regardless of the sampling environment (i.e, indoor or outdoor) (p < 0.05). Among the most predominant mold genera, observation frequencies of Penicillium spp. and Aspergillus spp. on both culture media were found to be more than 70%. Observation frequencies of Cladosporium spp., Alternaria spp., and yeast were found to be higher in samples collected on DRBC than those on SDA-CHX-CHL. Finally, DRBC was found to be superior to SDA in terms of both number of colonies and number of genera isolated from the air.

Elif Palaz

Papers

Association between respiratory health and indoor air pollution exposure in Canakkale, Turkey

A long-term multi-parametric monitoring study: Indoor air quality (IAQ) and the sources of the pollutants, prevalence of sick building syndrome (SBS) symptoms, and respiratory health indicators

Comparison of dichloran rose bengal chloramphenicol and Sabouraud dextrose agar with cycloheximide and chloramphenicol for airborne mold sampling