Comparative Study on Indoor Air Quality Evaluation Method

2012 ◽  
Vol 178-181 ◽  
pp. 267-271
Author(s):  
Xing Yang Leng ◽  
Ping Jiang

This paper reviewed six kinds of indoor air quality (IAQ) evaluation methods, by which the same IAQ status were evaluated. Besides, the relations and distinctions of six methods were also analyzed. The results indicate that the evaluation results of different methods on the same sample are not identical. Fuzzy comprehensive evaluation method, pollution loss rate method and comprehensive index method are relatively accurate, and improved grey relational analysis method has the largest error.

2014 ◽  
Vol 484-485 ◽  
pp. 484-487
Author(s):  
Qing Tao Wei ◽  
Li Na Zhao ◽  
Hai Ting Lv

Based on the indoor air quality and the evaluation index, utilize the fuzzy mathematical theory, comprehensively consider on the three important factors which influence the air quality, and through the calculation and determination the weight vector, divide the air quality into four levels as "qualified"," mild overweight"," overweight", "severe overweight". Through sampling the indoor air in a family, according to the fuzzy comprehensive evaluation method and the maximum membership degree principle, get every sample point levels from data. It will provide the method of getting a more objective evaluation of indoor air quality situation.


2014 ◽  
Vol 507 ◽  
pp. 786-789
Author(s):  
Ruo Jun Wang ◽  
Yan Ying Xu

Vehicle air quality is attracted attention more and more with the increase of private vehicles popularization rate but the air quality evaluation is difficult to achieve standardization in the short term. The main pollutants affecting vehicle air quality were analyzed. Index factors were identified and the classification method of vehicle air quality evaluation were determined combining with China and international air quality standards. Fuzzy comprehensive evaluation method was established for vehicle air quality evaluation. According to the degree of different pollutants harm to human body, weight of each index factor was determined. The evaluation results would provide theoretical basis for the comparison of different vehicle air quality conditions and vehicle air pollution control.


2014 ◽  
Vol 522-524 ◽  
pp. 509-512
Author(s):  
Ruo Jun Wang ◽  
Yan Ying Xu ◽  
Qing Min Si

Air quality in car is attracted attention more and more but the air quality evaluation is difficult to achieve standardization in short time. The fuzzy comprehensive evaluation method was introduced in this paper. The in-car air quality classification method was determined. Weight of each index factor was determined according to the degree of different pollutants harm to human. The evaluation results would provide theoretical basis for the comparison of different in-car air quality conditions and air pollution control. An example was given to illustrate the application of the fuzzy comprehensive evaluation method.


2021 ◽  
Vol 9 ◽  
Author(s):  
Xiguan Liang ◽  
Zhisheng Li ◽  
Huagang Zhang ◽  
Xinru Hong

Quality-of-life is improving daily with continuous improvements in urban modernization, which necessitates more stringent requirements for indoor air quality. Fuzzy assessment enables us to obtain the grade of the evaluation object by compound calculation with the help of membership function and weight coefficient, overcoming the limitations of traditional methods applied to develop environmental quality indices. First, this study continuously measured SO2, O3, NO2, NO, CO, CO2, PM10, PM2.5, and other chemical pollutants during the daytime operating hours of a library and a canteen. We analyzed the concentration distributions of the particles in the air were discussed based on 31 different particle diameters. Finally, the experimental data in department store and waiting hall were analyzed by fuzzy evaluation, with the following results. (1) The library and canteen PM10 concentrations peaked at 07:45 in the morning and was elevated during the afternoon (48.9 and 59 μg/m3, respectively). (2) The Pearson correlation coefficient of the PM10 and PM2.5 concentrations in the library was 0.98. PM10 and SO2 in the canteen were negatively correlated, with a correlation coefficient of −0.65. PM2.5 and PM1 were always highly positively correlated. (3) The high concentration of particles in the library was associated with the small particle size range (0.25~0.45 μm). (4) By applying the fuzzy comprehensive evaluation method, the library grade evaluation was the highest level, and the waiting hall was the lowest. This study enhances our understanding of the indoor chemical contamination relationships for public buildings and highlights the urgent need for improving indoor air quality.


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