scholarly journals The fuzzy comprehensive evaluation (FCE) and the principal component analysis (PCA) model simulation and its applications in water quality assessment of Nansi Lake Basin, China

2020 ◽  
Vol 26 (2) ◽  
pp. 200022-0 ◽  
Author(s):  
Shiguo Xu ◽  
Yixiao Cui ◽  
Chuanxi Yang ◽  
Shujing Wei ◽  
Wenping Dong ◽  
...  
Keyword(s):  
Water Quality ◽  
Principal Components ◽  
Lake Level ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Fuzzy Comprehensive Evaluation ◽  
Lake Basin ◽  
Nansi Lake ◽  
Level I ◽  
Nansi Lake Basin

The Fuzzy Comprehensive Evaluation (FCE) and the Principal Component Analysis (PCA) were simulated to assess water quality of the Nansi Lake Basin, China. The membership functions were established via the Nor-Half Sinusoidal Distribution Method, and the weight was calculated via the Exceeding Standard Multiple Method. To enhance the efficiency of extracting principal pollutant, the eigenequation was solved through the Jacobi Method, and the principal components were extracted based on eigenvalue, contribution ratio, accumulating contribution ratio, principal component loading and score. Water quality classification based on “National Surface Water Environmental Quality Standards of China (GB3838-2002) was used to assess the water quality. Considering the difference of the temporal and spatial distribution in average, water quality of Level I was 28.9%, 28.1%, 25.1%, 25.6%, respectively in spring, summer, autumn, and winter, which suggested that water quality in spring and summer was better than in autumn and winter. The order of water quality was Zhaoyang Lake (Level I) > Nanyang Lake (Level I) > Dushan Lake (Level III) > Weishan Lake (Level III and IV). There were four extracted principal components that can replace the fourteen pollutant indexes for assessing water quality. According to the annual mean data of the 1st principal components, the most important pollutions were heavy metals, including As (0.933), Hg (0.931), Cd (0.929), Cr(VI) (0.926), Pb (0.925), and Cu (0.534). It is proved that the combined FCE-PCA model could provide valuable information in the water quality assessment for the Nansi Lake Basin.

SPSS for Water Pollution Contribution of Tonghui River in Beijing Based on Principal Component Analysis

2011 ◽  
Vol 343-344 ◽  
pp. 483-489
Author(s):  
Li Ping Zhang ◽  
Jie Pang ◽  
Lei Ke ◽  
Yuan Yuan Shi ◽  
Mu Qi Yang ◽  
...  
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Principal Components ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Component Analysis ◽  
Field Investigation ◽  
Paper Analysis ◽  
Pollution Indicators ◽  
Method Paper

This paper researches on sewage discharge condition along Tonghui River in Beijing. According to stationing principle and field investigation, there are 18 sewage outlets along Tonghui River and select 7 main water quality pollution indicators and sewage flow to assess the sewage outlets’ pollution distribution. By means of SPSS soft applied in principal component analysis method, paper analysis on the main pollution indicators and the main pollution contribution sewage outlets. The result shows 3 extracted principal components reflect 88.92% information of primitive variables. Then solve the formula of the 3 extracted principal components as F1, F2, F3. According to the contribution percentage of variance in table Ⅲ, the function of comprehensive evaluation expression can be deduced as F= 0.727F1+0.187F2+0.086F3. The results show that among the 18 sewage outlets, the worst pollution contribution is No.16 outlet, the 18 sewage outlets’ pollution contribution to Tonghui River is in the order of NO.16> NO.11> NO.12> NO.3> NO.8> NO.9> NO.13> NO.14> NO.17> NO.10> NO.15> NO.6> NO.18> NO.5> NO.1> NO.7> NO.4> NO.2. The assessment result is tally with the actual situation. Administrative means, technical means and management means are the effective measures to improve water quality of Tonghui River.

Spatial-Temporal Comparative Analysis of Water Environmental Quality Features in Nansi Lake Basin

2013 ◽  
Vol 726-731 ◽  
pp. 1525-1529
Author(s):  
Ying Xin ◽  
Zhou Hu Wu ◽  
Ran Wang ◽  
Yong Liang Liang ◽  
Hong Cheng Lei ◽  
...  
Keyword(s):  
Water Quality ◽  
Lake Basin ◽  
Dry Period ◽  
Nansi Lake ◽  
Control Units ◽  
Nansi Lake Basin ◽  
Annual Period ◽  
Water Environmental Quality ◽  
Better Than

Based on monitoring data from 2006 to 2010,the surface water environmental quality features in Nansi Lake Basin were analyzed at temporal and spatial scale. The results show that the water quality in Nansi Lake basin has improved during the annual period, the wet period and dry period. In terms of CODCr and NH3-N, the proportion of water with quality of class I to III has increased, while the proportion of water with quality that was inferior to class V has decreased. The proportion of water with quality of class Ito III in NH3-N was lager than that in CODCr. The Nansi Lake basin water quality in the wet period was slightly better than that in the annual period, while the water quality in dry period was slightly worse than that in the annual period. Judging from the spatial scale, the water quality of control units in the west of Nansi Lake basin is better than those in the east of Nansi Lake basin. The control units of Guangfu River and Laoyun River in Jining were the most seriously polluted areas.

An Exploration of Provincial Low-Carbon Economy Evaluation System Based on Principal Component-Variable Fuzzy Evaluation

2013 ◽  
Vol 291-294 ◽  
pp. 1562-1567
Author(s):  
Ji Min Hu ◽  
Jian Long Gu ◽  
Chang Cui Hu ◽  
Hai Feng Wang
Keyword(s):  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Evaluation ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Component Variable ◽  
The Status ◽  
Carbon Economy

According to indicators’ information repetition and subjectivity of the indicators’ weight set during the variable fuzzy comprehensive evaluation, Principal Component analysis can help solve the weight of the relative indicators and reduce comprehensive evaluation dimensions of the variable fussy comprehensive evaluation. This paper has made a comprehensive evaluation of the status quo of Yunnan’s low carbon economy development(2005-2009), which turns out to be more practical compared with the mere variable fussy theory analysis, thus, principal component-variable fuzzy evaluation is a kind of feasible way to analyze the regional low carbon development status.

Classification and Prediction of Goldfish Population and Water Quality Using a Potentiometric E-Tongue

2017 ◽  
Vol 60 (4) ◽  
pp. 1037-1044
Author(s):  
Zhenbo Wei ◽  
Yu Zhao ◽  
Jun Wang
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Pattern Recognition ◽  
Comprehensive Evaluation ◽  
Back Propagation ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Pattern Recognition Methods

Abstract. In this study, a potentiometric E-tongue was employed for comprehensive evaluation of water quality and goldfish population with the help of pattern recognition methods. Four water quality parameters, i.e., pH and concentrations of dissolved oxygen (DO), nitrite (NO2-N), and ammonium (NH3-N), were tested by conventional analysis methods. The differences in water quality parameters between samples were revealed by two-way analysis of variance (ANOVA). The cultivation days and goldfish population were classified well by principal component analysis (PCA) and canonical discriminant analysis (CDA), and the distribution of each sample was clearer in CDA score plots than in PCA score plots. The cultivation days, goldfish population, and water parameters were predicted by a T-S fuzzy neural network (TSFNN) and back-propagation artificial neural network (BPANN). BPANN performed better than TSFNN in the prediction, and all fitting correlation coefficients were >0.90. The results indicated that the potentiometric E-tongue coupled with pattern recognition methods could be applied as a rapid method for the determination and evaluation of water quality and goldfish population. Keywords: Classify, E-tongue, Goldfish water, Prediction.

scholarly journals Analysis of Nonpoint Source Pollution and Water Environmental Quality Variation Trends in the Nansi Lake Basin from 2002 to 2012

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Weiliang Wang ◽  
Tiantian Ju ◽  
Wenping Dong ◽  
Xiaohui Liu ◽  
Chuanxi Yang ◽  
...  
Keyword(s):  
Water Pollution ◽  
Economic Development ◽  
Environmental Quality ◽  
Nonpoint Source Pollution ◽  
Nonpoint Source ◽  
Lake Basin ◽  
Class Iii ◽  
Nansi Lake ◽  
Nansi Lake Basin ◽  
Water Environmental Quality

Based on the data analysis of economic development and the water environmental quality from 2002 to 2012 in the Nansi Lake Basin in China, the correlation between economic development and the water environmental quality was researched. Analysis shows that the GDP of the Nansi Lake Basin had an average annual growth of 7.3% in 2012, and the COD andCODMnhad the average annual decrease of 7.69% and 6.79%, respectively, compared to 2002. Basin water environmental quality overall improved, reaching Class III of the “Environmental quality standards for surface water (GB3838-2002).” The pollution of the water environment was analyzed from three aspects: agricultural fertilizers and pesticides, livestock, and aquaculture. Results indicated that the water pollution of the Nansi Lake Basin mainly came from nonpoint source pollution, accounting for more than 80% of the overall pollution. The contributions of both agricultural fertilizers and pesticides account for more than 85% of the overall nonpoint source, followed by livestock and aquaculture. According to the water pollution characteristics of the Nansi Lake Basin, the basin pollution treatment strategy and prevention and treatment system were dissected, to solve the pollution problem of the Nansi Lake Basin.

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.

scholarly journals Application of fuzzy evaluation technique and grey clustering method for water quality assessment of the coastal and estuaries of selected rivers in Sarawak

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
Ebenezer Aquisman Asare ◽  
Zaini Bin Assim ◽  
Rafeah Binti Wahi ◽  
Rajuna Bin Tahir ◽  
Eric Kwabena Droepenu
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Classification System ◽  
Quality Index ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Methods ◽  
Marine Water ◽  
Water Quality Parameter ◽  
Grey Clustering

Abstract Background Estuarine and marine water quality has remarkable importance because these water resources are used for multiple reasons for instance: transportation, tourism, recreation, and other human or economic ways to use water. The objective of the study was to assess the water quality of the coastal and estuaries of the Rambungan, Sibu, Salak, and Santubong rivers in Sarawak, Malaysia. Water samples were collected from 10 locations and analyzed by employing standard techniques. A fuzzy comprehensive evaluation, grey clustering evaluation methods, Thailand Marine Water Classification System, and the Malaysian Marine Water Quality Index (MMWQI) and its classification system were applied to compute the index of each water quality parameter. Results The results showed that all the analyzed water quality parameters were within the allowable threshold levels. The results obtained by the application of fuzzy comprehensive evaluation and grey clustering evaluation methods proved that the coastal and the estuaries waters were clean with exception of coastal location CZ9 and the estuary of Salak river which showed slight pollution. Based on the Malaysian Marine Water Quality Index, it was observed that all the locations were in the classification group of moderate (i.e. 50–79%). This suggests that the estuaries of selected rivers can be used for natural resource conservation, while the coastal regions are good for fish farming. Conclusion It can be deduced that the suggested techniques were workable and logical. The method developed and the information in this study can serve as a reference and decision support for scientists and policymakers of concern.

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