Vehicle Air Quality Analysis and Comprehensive Evaluation

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.


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.


2013 ◽  
Vol 361-363 ◽  
pp. 954-957
Author(s):  
Xiao Ping Zhang ◽  
Wen Jie Xu ◽  
Wei Guo Chen

The defects of present fuzzy comprehensive evaluation model based on interval value are pointed out. To improve these defects, a new calculation method of fuzzy membership degree is provided and a fuzzy comprehensive evaluation model based on interval number distance is built. This model is applied to Lake Dongchang. And it can be indicated that the proposed model is reasonable and practical.


2022 ◽  
Vol 9 ◽  
Author(s):  
Weicai Peng ◽  
Xiangguo Liu ◽  
Farhad Taghizadeh-Hesary

In this article, we adopt an improved double-weighted fuzzy comprehensive evaluation method to investigate the air condition of Hefei City from July 2016 to July 2021. We focus on the impact of the toxicity index, especially the impact of carbon monoxide, which is also considered in some other kinds of quality evaluation, such as water classification. Firstly, we found that with the increasing awareness of environmental protection and with the attention of the government to the quality of air in recent years, the air conditions have become better (the grades become lower). Secondly, the value of the factors, PM2.5, PM10, SO2, CO, NO2, and O3 periodically fluctuate from year to year; and the periodicity of O3 is reversed with the other factors. Finally, the monthly average analysis shows that the overall air quality is good; all the grades are I-II, except for December 2017 which has a grade III. Furthermore, the air quality in the winter (especially in December and January) is not always good.


Author(s):  
F. Luo ◽  
C. Li ◽  
Y. Yan

Abstract. Satellite orthophotos are important data sources and results of China's third national land survey, and their quality profoundly affects the accuracy of the survey results. This article reviews the quality requirements and quality models of satellite orthophotos for the purpose of land survey in conjunction with the quality inspection and evaluation of satellite orthophotos covering the entire land area of China, and analyzes the shortcomings of current orthophotos quality evaluation methods. On the basis of this method, a multilevel fuzzy comprehensive evaluation method was introduced to test the orthophotos quality evaluation, and the concepts of maximum membership effectiveness index and evaluation grade probability were used to constrain the evaluation results. The results prove that the method is more effective than the current method true and accurate.


Author(s):  
Hongxia Cheng ◽  
Zhang Minghui

Abstract The reasonable use of water resources has become an important issue for the sustainable development of humanity in the future. Many researches focus on groundwater quality inspection, but not groundwater quality assessment. This paper aims to study groundwater quality evaluation models based on multi-scale fuzzy comprehensive evaluation and big data analysis methods. We combines coarse-grained multi-scale fuzzy entropy and fuzzy comprehensive evaluation method to establish a groundwater quality evaluation model based on big data environment. The evaluation of groundwater samples from 327 test points in Huangpu District, Xuhui District, Hongkou District, and Putuo District of Shanghai was conducted. The results show that the overall condition of Shanghai groundwater is better, and more than 94% of samples qualified as drinking water sources. The method presented in this paper not only guarantees that the coarse-grained data on all scales are consistent with the length of the original data, but also avoids the phenomenon of data loss, which greatly improves the accuracy of subsequent algorithms. HIGHLIGHT This article first introduces the theory of the multi-scale fuzzy comprehensive evaluation method, then uses the scale analysis method to determine the weight and the fuzzy comprehensive evaluation method to calculate the current status of groundwater resources in Shanghai. Finally, it compares the conclusions obtained with the fuzzy comprehensive evaluation method and analyzes it. Similarities and differences in evaluation results and their causes. It can be seen from the comprehensive comparison that the evaluation using the multi-scale fuzzy comprehensive evaluation method can more intuitively compare the differences in water quality between different administrative regions.The evaluation system in this paper is more comprehensive, and its evaluation results are more comprehensive and reasonable than the fuzzy comprehensive evaluation method.


2013 ◽  
Vol 779-780 ◽  
pp. 1619-1622 ◽  
Author(s):  
Jun Pan ◽  
Bo Yao Li ◽  
Ming Cen Jiang

In order to improve the traditional fuzzy comprehensive evaluation model of main factors, the paper used the shortage of the outstanding balance average type instead of traditional fuzzy comprehensive evaluation method in the evaluation process and takes big or small algorithm, this method to avoid maximum membership principle may cause information loss, more objective quantitative determination of water quality class. This paper Liaozhong waterfront city underground water quality testing data as the basis, an improved fuzzy comprehensive evaluation method to evaluate, the result is due to the area of iron and manganese from groundwater seriously overweight cause groundwater quality grade V. Show that the method of water quality evaluation, the result more objective and accurate.


Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1019
Author(s):  
Guodong You ◽  
Bin Xu ◽  
Honglin Su ◽  
Shang Zhang ◽  
Jinming Pan ◽  
...  

The quality of aquaculture waters is directly related to water management and aquaculture efficiency, which puts forward higher requirements for water quality evaluation. Based on the consideration of the influence of temporal and spatial changes on the water quality, this paper proposed an improved fuzzy comprehensive evaluation method for aquaculture water quality evaluation. Specifically, constructing a new membership function in the first place, and then selecting dissolved oxygen, pH, temperature and ammonia nitrogen content as water quality indexes for aquaculture, after that, collecting 60 sets of water quality index for different seasons in the past three years, finally, evaluating the water quality of Yangjiabo Aquaculture Base. Meanwhile, comparing it with the evaluation results of the single factor evaluation method and the traditional fuzzy evaluation method. The results show that the water quality of the Yangjiabo Aquaculture Base is at the worst level in winter, and the water quality has improved significantly in spring, summer and autumn. Compared with the other two method, the improved method can comprehensively reflect the changes in water quality with time and space, which is more practical, and so it can be considered to provide a scientific basis for efficient aquaculture and water quality classification.


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