文摘
This paper reports the first application of the multicriteriadecision making methods, PROMETHEE and GAIA, toindoor and outdoor air quality data. Fourteen residentialhouses in a suburb of Brisbane, Australia were investigatedfor 21 air quality-influencing criteria, which included thecharacteristics of the houses as well as the concentrationsof volatile organic compounds, fungi, bacteria, submicrometer, and supermicrometer particles in their indoorand outdoor air samples. Ranking information necessary toselect one house in preference to all others and toassess the parameters influencing the differentiation ofthe houses was found with the aid of PROMETHEE and GAIA.There was no correlation between the rank order ofeach house and the health complaints of its occupants.Patterns in GAIA plots show that indoor air quality in thesehouses is strongly dependent on the characteristics ofthe houses (construction material, distance of the housefrom a major road, and the presence of an in-built garage).Marked similarities were observed in the patterns obtainedwhen GAIA and factor analysis were applied to thedata. This underscores the potential of PROMETHEE andGAIA to provide information that can assist sourceapportionment and elucidation of effective remedialmeasures for indoor air pollution.