scholarly journals Water Quality Risk Assessment for the Laoguanhe River of China Using a Stochastic Simulation Method

Author(s):  
J. Hu ◽  
◽  
L. Sun ◽  
C. H. Li ◽  
X. Wang ◽  
...  
2021 ◽  
Vol 7 (1) ◽  
pp. 212-221
Author(s):  
Shu Chen ◽  
Jijun Xu ◽  
Qingqing Li ◽  
Yongqiang Wang ◽  
Zhe Yuan ◽  
...  

It is the first time to consider the hydrological nonstationary in water allocation risk assessment.


2016 ◽  
Author(s):  
Brigitte L. Brown ◽  
Craig H. Benson ◽  
Tuncer B. Edil ◽  
Sabrina L. Bradshaw

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.


2021 ◽  
Author(s):  
Ron van der Oost ◽  
Jaap Postma ◽  
Willie van den Berg ◽  
Mai Nguyen ◽  
Corine Houtman ◽  
...  

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