Sampling method for long-term monitoring of indoor environmental quality in residential buildings

The data collected during long-term monitoring (LTM) of indoor environmental quality (IEQ) can reflect occupants’ exposure to contaminants and be used improve thermal comfort. As there are large differences among existing guidelines for IEQ dwellings, it is important identify a sampling method that balances accuracy, sample size cost. This paper reports the major findings developed systematic approach determining monitoring. In study, LTM was carried out in 13 naturally ventilated urban residences Kunming, China. We proposed continuous strategy (CSS) discrete (DSS). Descriptive statistics evaluate performances both strategies, found DSS could obtain more accurate than CSS. Next, an algorithm calculating optimal frequencies different parameters based on Pearson correlation coefficient. evaluated required number dwellings(RND) various satisfied statistical confidence Kunming other four cities with increase household one city, RND will reach critical threshold no longer anymore. Using this simple random principle, we also provide guidance residence. It expected results study facilitate selection similar studies future, reduced manpower consumption but representative sample.