River Water Quality Risk Assessment Using Grey Correlation in Baoji Weihe River of China

2015 ◽  
Vol 737 ◽  
pp. 677-680
Author(s):  
Yin Ge Liu ◽  
Yi Xuan Yang ◽  
Lin Gang Wang

Based on the grey theory, a grey correlation evaluation model (GCEM) was built for risk assessment of river water quality. Five pollutants are used for risk assessment indicators, while the risk class was determined by the maximum principle. The results indicate that the water quality risk is higher in Baoji Weihe River of China. Potassium permanganate index risk is the maximum and the second is BOD5. The comparison with other methods confirmed that evaluation of GCEM is agreement with the actual condition. Moreover, this method is simple and solid for water risk evaluation and would be used for rive water environmental administration.

2011 ◽  
Vol 356-360 ◽  
pp. 2097-2101
Author(s):  
Wei Bin Si ◽  
Yong Tao Lv ◽  
Xiao Jun Liu

Taking the Weihe River in Baoji area as an example, the paper discusses the contaminants’ (counted with COD) production, treatment capacity, pollutant amount into the river, river water quality and relationship between annual water inflow distribution and river water quality in river channel. It is argued that it is impossible by relying solely on the sewage treatment to control the pollutant amount into the river and solve the river water pollution. The paper also presents that sewage reclamation is a new method to treat the river water pollution in Northern China.


2019 ◽  
Vol 41 (6) ◽  
pp. 2559-2575 ◽  
Author(s):  
Kien Thanh Nguyen ◽  
Hung Manh Nguyen ◽  
Cuong Kim Truong ◽  
Mohammad Boshir Ahmed ◽  
Yuhan Huang ◽  
...  

2021 ◽  
Vol 11 (4) ◽  
Author(s):  
Hayder Mohammed Issa ◽  
Azad H. Alshatteri

AbstractIn this work, a comprehensive assessment has been performed to understand impact of wastewater discharge from Kalar city on water quality parameters of Diyala-Sirwan river, Iraq. Levels of physicochemical parameters of Ca, K, Na, Mg, pH, electrical conductivity, dissolved oxygen, total dissolved solid, turbidity, biological oxygen demand, and total hardness, and heavy metals of Fe, Mn, Ni, Cu, Zn, Hg, Al, Ba, Se, and As have been determined by inductively coupled plasma optical emission spectroscopy and other devices. Pollution indices, health risk assessment, and multivariate analysis have been applied to evaluate pollution intensity originated from wastewater discharge on river water quality at different locations, before and after the impact point. Pollution levels of slight to moderate have been identified using different indices for the river water at all sampling locations after the wastewater discharge point. Cluster and correlation analyses showed that the impact of wastewater discharge on the river water quality was occurring along the river within the study area. Non-carcinogenic health risk assessment for heavy metals in the river, indicating a potential risk, might on people's health, especially after discharge point. Furthermore, a significant effect of carcinogenic risk by heavy metals of As and Hg was recognized in the same area. This study thus helps to understand clearly the alteration that happened in the water quality of Diyala-Sirwan river due to the discharge of untreated wastewater from Kalar city.


2008 ◽  
Author(s):  
Annett B. Sullivan ◽  
Michael L. Deas ◽  
Jessica Asbill ◽  
Julie D. Kirshtein ◽  
Kenna D. Butler ◽  
...  

1994 ◽  
Vol 30 (2) ◽  
pp. 53-61 ◽  
Author(s):  
Shiyu Li ◽  
Guang Hao Chen

A mathematical model is proposed to predict the removal of dissolved organic substances and the consumption of dissolved oxygen by attached biofilms in an open-channel flow. The model combines the biofilm equations with the conventional Streeter–Phelps type equations of river water quality by considering the mass transfer of organics and oxygen in the river water through the diffusion layer into the biofilm. It is assumed that the diffusion and reaction within the biofilm are of steady-state, and follow Monod kinetics. The model is solved numerically with a trial-and-error method. The simulation results of the model for an ideal case of river flow and biofilm show that the organic removal rate and oxygen consumption rate caused by the biofilm are greater than that by suspended biomass. The effects of diffusion layer thickness, flow velocity, and biofilm thickness on the change of river water quality are discussed.


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