Multilevel fuzzy comprehensive evaluation for water quality of urban inland river based on the AHP to determine the weights

2016 ◽  
Keyword(s):  
Water Quality ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Inland River

The Evaluation of the Water Quality of Shenwo Reservoir Based on Fuzzy Comprehensive Evaluation Method

2012 ◽  
Vol 594-597 ◽  
pp. 2061-2065
Author(s):  
Dan Liu ◽  
Na Hu ◽  
Han Yong Liu ◽  
An Gong
Keyword(s):  
Water Quality ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Quality Data ◽  
River Section ◽  
Water Quality Data ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method

The water of Shenwo reservoir has been seriously polluted. In order to avoid the inaccurate evaluation results of a single index, the variable fuzzy comprehensive evaluation method has been adopted to comprehensively evaluate the water quality of Shenwo reservoir based on the water quality data of Lan River section of Shenwo reservoir in 2011. The evaluation results have shown that the water quality of Shenwo reservoir belongs to grade Ⅳ, which tends to be grade Ⅲ. The evaluation results based on this approach will be more stable and reliable.

scholarly journals Evaluation of Aquaculture Water Quality Based on Improved Fuzzy Comprehensive Evaluation Method

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1019
Author(s):  
Guodong You ◽  
Bin Xu ◽  
Honglin Su ◽  
Shang Zhang ◽  
Jinming Pan ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Water Quality Evaluation ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method ◽  
Aquaculture Water

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.

Research on Fuzzy Comprehensive Evaluation of Surface Water Quality in Xiquan Lake Wetland

2013 ◽  
Vol 726-731 ◽  
pp. 1174-1177 ◽  
Author(s):  
Wei Chun Gao ◽  
Jun Pan ◽  
Fei Ding ◽  
Yi Cheng Gong ◽  
Yong Xiang Zhang
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Pollution Index ◽  
Surface Water Quality ◽  
Fuzzy Comprehensive Evaluation ◽  
Dry Season ◽  
Rain Season

Using Xiquan Lake wetland as an example, the fuzzy comprehensive evaluation method in the application of surface water quality assessment was discussed in this paper. This paper chooses six representative pollution index, calculates respectively weight and integrated membership grade of the pollution index during dry season and rain season, and overall evaluates surface water quality of Xiquan Lake wetland comprehensive. Fuzzy comprehensive evaluation results show that water quality is respectively class V and III during dry season and rain season. Surface water quality of Xiquan Lake wetland in rain season is worse than in dry season. The evaluation results are scientific and reasonable, provide effective basis for wetland resources use and management.

Wetland Water Quality Evaluation Research by Method of Fuzzy Comprehensive Evaluation

2014 ◽  
Vol 955-959 ◽  
pp. 1479-1483
Author(s):  
Juan Chen
Keyword(s):  
Water Quality ◽  
Comprehensive Evaluation ◽  
Evaluation Research ◽  
Fuzzy Comprehensive Evaluation ◽  
Ammonia Nitrogen ◽  
Index Method ◽  
Wetland Water ◽  
Wetland Water Quality ◽  
Phosphorus And Potassium

This thesis selects six factors, including DO, COD, BOD5, ammonia nitrogen, total phosphorus and potassium permanganate as monitoring indexes to evaluate the wetland water quality of Huangjia Lake in Wuhan City with the method of fuzzy comprehensive evaluation referring to Environmental Quality Standards for Surface Water. The result is basically identical with that of single factor index method. Evaluation results show that the wetland water quality in Hubei College of Traditional Chinese Medicine and Wuhan University of Science and Technology is of good quality with slight pollution.

A framework of characteristics identification and source apportionment of water pollution in a river: a case study in the Jinjiang River, China

2012 ◽  
Vol 65 (11) ◽  
pp. 2071-2078 ◽  
Author(s):  
Haiyang Chen ◽  
Yanguo Teng ◽  
Jinsheng Wang
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Source Apportionment ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Anthropogenic Pollution ◽  
Ammonia Nitrogen ◽  
Support Vector ◽  
Jinjiang River

A framework for characteristics identification and source apportionment of water pollution in the Jinjiang River of China was proposed in this study for evaluation. A total of 114 water samples which were generated between May 2009 and September 2010 at 13 sites were collected and analysed. First, support vector machine (SVM) and water quality pollutant index (WQPI) were used for water quality comprehensive evaluation and identifying characteristic contaminants. Later, factor analysis with nonnegative constraints (FA-NNC) was employed for source apportionment. Finally, multi-linear regression of the absolute principal component score (APCS/MLR) was applied to further estimate source contributions for each characteristic contaminant. The results indicated that the water quality of the Jinjiang River was mainly at the third level (65.79%) based on national surface water quality permissible standards in China. Ammonia nitrogen, total phosphorus, mercury, iron and manganese were identified as characteristic contaminants. Source apportionment results showed that industrial activities (63.16%), agricultural non-point source (16.50%) and domestic sewage (12.85%) were the main anthropogenic pollution sources which were influencing the water quality of Jinjiang River. This proposed method provided a helpful framework for conducting water pollution management in aquatic environment.

Fuzzy Mathematics Applied to Heavy Metal Pollution in the Marine Environment, the Calculation of Water Quality Assessment - A Case Study of Lianyungang Marine

2011 ◽  
Vol 356-360 ◽  
pp. 2124-2130
Author(s):  
Wen Bin Chen
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Environmental Pollution ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Comprehensive Evaluation ◽  
Standard Form ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Mathematics ◽  
Membership Matrix

Reference fuzzy mathematics of fuzzy comprehensive evaluation method, Select a representative indicator of pollutants to establish fuzzy comprehensive evaluation index system to evaluate the virulence of Lianyungang marine heavy metal pollution levels; by the monitoring data to establish indicators of each factor on the degree of membership at all levels of the standard form a membership matrix, then make the weight factor multiplied by the membership matrix, get the fuzzy product, obtain a comprehensive evaluation set which indicating that water quality standards for water quality at all levels of membership level, reflecting the ambiguity of comprehensive water quality level, then based on the message obtain the integrated environmental pollution of Lianyungang Marine, provide the scientific basis of environmental pollution control for Lianyungang Marine.

Making-Decision of Selecting Outstanding Teachers in University Based on Fuzzy Comprehensive Evaluation Method

2011 ◽  
Vol 219-220 ◽  
pp. 814-819 ◽  
Author(s):  
Jun Liu ◽  
Yan Li
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Teaching Staff ◽  
High Quality ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method ◽  
Outstanding Teachers ◽  
Rational Evaluation

Evaluation of teachers is one of the most important sectors for colleges and universities to foster a high-quality teaching staff influencing the training qualities of students directly. Scientific and rational evaluation of teachers has the important guide functions to improve the quality of teachers, inspire teachers' potential and creativity and encourage teachers to make constant progress. It is difficult to evaluate one teacher objectively and fairly using the ordinary evaluation method for the influencing factors are more and complex. The fuzzy comprehensive evaluation method of selecting outstanding teachers in university is proposed in this paper, its main goal is to make the scientific and rational evaluation on one teacher and select outstanding teachers. Finally, an example of fuzzy comprehensive evaluation on one certain teacher for the illustration of the proposed method is represented, the result indicates that the scientific and rational evaluate result is provided by the fuzzy comprehensive evaluation method.

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