An integrated regional water quality assessment method considering interrelationships among monitoring indicators

2021 ◽  
Vol 193 (4) ◽  
Author(s):  
Yu Li ◽  
Xiao-Kang Wang ◽  
Hong-Yu Zhang ◽  
Jian-Qiang Wang ◽  
Lin Li
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Water Quality Assessment ◽  
Assessment Method ◽  
Quality Assessment Method ◽  
Regional Water

Water Quality Evaluation Based on Multiclass Fuzzy Support Vector Machine

2010 ◽  
Vol 113-116 ◽  
pp. 708-711 ◽  
Author(s):  
Wei Guo Zhao ◽  
Li Ying Wang
Keyword(s):  
Water Quality ◽  
Support Vector Machine ◽  
Quality Assessment ◽  
Water Quality Assessment ◽  
Training Model ◽  
Assessment Method ◽  
Complex Problem ◽  
Support Vector ◽  
Fuzzy Support Vector Machine ◽  
Quality Assessment Method

It has been a more complex problem for water quality assessment. And its aim is to well and truly evaluate its degree of pollution for bodies of water, which will be easy to provide some principled projects and criterions for water resource’s protection and their integration application. So, a water quality assessment method based on Multiclass Fuzzy Support Vector Machine is put forward. and a two-step cross-validation was used to search for the best combination of parameters to obtain an optimal training model. The test results show that the method proposed in this paper has an excellent performance on correct ratio compared to BP. It indicated that the performance of the proposed model is practically feasible in the application of water quality assessment.

scholarly journals A Comprehensive Method for Water Environment Assessment considering Trends of Water Quality

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Sheng Bi ◽  
Li Wang ◽  
Yongrong Li ◽  
Zhenping Zhang ◽  
Zhimian Wang ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Temporal Trends ◽  
Rank Correlation ◽  
Pollution Index ◽  
Principal Component ◽  
Water Quality Assessment ◽  
Assessment Method ◽  
Danjiangkou Reservoir ◽  
Quality Assessment Method

Water quality is a significant issue, and its assessment plays an important role in environmental management and pollution control. In this paper, we proposed a comprehensive water quality assessment method which takes into account both absolute and temporal trends in water quality. As the first step, we derived and applied a comprehensive pollution index (CPI) to characterize water pollution in 16 major tributaries to the Danjiangkou Reservoir, located in the upper reaches of the Hanjiang River in China. Next, we used Spearman’s rank correlation analysis to quantify temporal CPI trends in each tributary. As the final step, we conducted principal component analysis (PCA) using data on 8 water quality parameters and the temporal CPI trend from each of the 16 tributaries. The resultant comprehensive water quality assessment method identified tributaries, which stand to improve and threaten water quality in the Danjiangkou Reservoir from both immediate and future perspectives.

Research on raw water quality assessment oriented to drinking water treatment based on the SVM model

2015 ◽  
Vol 16 (3) ◽  
pp. 746-755 ◽  
Author(s):  
Dongsheng Wang
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Quality Assessment ◽  
Drinking Water Treatment ◽  
Water Quality Assessment ◽  
Assessment Method ◽  
Raw Water ◽  
Control Scheme ◽  
Raw Water Quality

Raw water quality variation has a great effect on drinking water treatment. To improve the adaptivity of drinking water treatment and stabilize the quality of treated water, a raw water quality assessment method, which is based upon the support vector machine (SVM), is developed in this study. Compared to existing raw water quality assessment methods, the assessment method studied herein is oriented to drinking water treatment and can directly be used for the control of the chemical (alum and ozone) dosing process. To this end, based upon the productive experiences and the analysis of the operating data of water supply, a raw water quality assessment standard oriented to drinking water treatment is proposed. A raw water quality model is set up to assess the raw water quality based upon the SVM technique. Based upon the raw water quality assessment results, a feedforward–feedback control scheme has been designed for the chemical dosing process control of drinking water treatment. Thus, the chemical dosage can be adjusted in time to cope with raw water quality variations and hence, the quality of the treated water is stabilized. Experimental results demonstrate the improved effectiveness of the proposed method of raw water quality assessment and the feedforward–feedback control scheme.

Establishment and Application of Water Quality Assessment Model for Jiaozhou Bay Basin

2012 ◽  
Vol 518-523 ◽  
pp. 1165-1170 ◽  
Author(s):  
Chao Liu ◽  
Hui He ◽  
Xiao Hui Tan ◽  
Ai Li Gao ◽  
Song Xue
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Bp Neural Network ◽  
Jiaozhou Bay ◽  
Water Quality Assessment ◽  
Training Sample ◽  
Assessment Method ◽  
Assessment Model ◽  
Water Quality Status ◽  
Effectiveness Of Training

In this paper, a comprehensive water quality assessment model for the seagoing rivers of the Jiaozhou Bay basin was established based on a BP neural network. In the situation investigation, a list of main assessment indexes was selected, comprising COD, permanganate, DO, ammonia, volatile hydroxybenzene and mineral oil. Then Environmental Quality Standards for Surface Water was used as the training sample and comprehensive assessment was conducted for the rivers. In Comparison with results from the conventional single-factor assessment method, this model not only responded to the comprehensive river water quality status, but also improved the speed and effectiveness of training, saving time and increasing accuracy of the assessment model through a series of design optimizations.

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