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.

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.

A Spatially Weighted Neural Network Based Water Quality Assessment Method for Large-Scale Coastal Areas

2021 ◽  
Vol 55 (4) ◽  
pp. 2553-2563
Author(s):  
Zhenhong Du ◽  
Jin Qi ◽  
Sensen Wu ◽  
Feng Zhang ◽  
Renyi Liu
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Quality Assessment ◽  
Large Scale ◽  
Water Quality Assessment ◽  
Assessment Method ◽  
Coastal Areas ◽  
Quality Assessment Method

scholarly journals Water Quality Assessment along With Pollution Sources of the Halda River

2017 ◽  
Vol 43 (1) ◽  
pp. 61-70 ◽  
Author(s):  
Md Shafiqul Islam ◽  
Ali Akbar ◽  
Aysha Akhtar ◽  
Md Manzoorul Kibria ◽  
Md Simul Bhuyan
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Preventive Measures ◽  
Pollution Index ◽  
Water Quality Assessment ◽  
River Pollution ◽  
Total Alkalinity ◽  
Sewage Contamination ◽  
Conservation Of Natural Resources ◽  
Management And Conservation

In the present study water quality assessment and land based sources of pollutants discharged into the Halda River through four major canals were investigated. The ranges of pH, DO, BOD, NO3-N, PO4-P, chloride and total alkalinity of the collected samples varied from 7.1-8.8, 3.35-4.70 mg/L, 0.055-5.0 mg/L, 0.12-3.1 mg/L, 0.06-0.16 mg/L, 8.4-69.30 mg/L and 73-220 mg/L, respectively. pH, DO, BOD showed significant changes at Mondakini Canal and Chengkhali Canal for monsoon, post-monsoon and winter (p <0.05) while chloride at Chengkali Canal for all seasons (p≤0.05). Moreover, TA, NO3-N and PO4-P exhibited significant variation in the concentration at Mondakini Canal, Madari Canal and Chengkali Canal for three seasons (p ≤0.05). River Pollution Index indicated that the water of river at Mondakini Canal, Madari Canal, Chengkhali Canal and Khondakia Canal varied from low to moderate pollution. According to the interviewers, the Halda River is being polluted due to industrial waste (53%), sewage contamination (20%), tobacco farming (13%), rubber dam (8%) and sand extraction (6%). Therefore, necessary preventive measures should be taken in order to control the unwise and unauthorized discharge of harmful pollutants into the Halda River for the better management and conservation of natural resources. Asiat. Soc. Bangladesh, Sci. 43(1): 61-70, June 2017

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