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

Autor: Yin Ge Liu, Lin Gang Wang, Yi Xuan Yang
Rok vydání: 2015
Předmět:
Zdroj: Applied Mechanics and Materials. 737:677-680
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.737.677
Popis: 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.
Databáze: OpenAIRE