A hybrid water-quality-index and grey water footprint assessment approach for comprehensively evaluating water resources utilization considering multiple pollutants
Water pollution
; Water quality
; Binary search algorithm
; Canadian council of ministers of the environments
; CCME WQI
; Grey waters
; Multiple pollutants
; Spatio-temporal changes
; Water pollution levels
; Water resources utilizations
; Water resources
Research Center for Eco-environmental Engineering, Dongguan University of Technology, No 1 Daxue Street, Songshan Lake, Dongguan, 523808, China; State Key Laboratory of Water Environmental Simulation, School of Environment, Beijing Normal University, No 19 Xinjiekouwai Street, Beijing, 100089, China; Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, Guangdong 510006, China
Recommended Citation:
Yu C.,Yin X.,Li H.,et al. A hybrid water-quality-index and grey water footprint assessment approach for comprehensively evaluating water resources utilization considering multiple pollutants[J]. Journal of Cleaner Production,2020-01-01,248