Efficient river water quality index prediction considering minimal number of inputs variables

Efficient river water quality index prediction considering minimal number of inputs variables

Water Quality Index (WQI) is the most common determinant of the quality of the stream-flow. According to the Department of Environment (DOE, Malaysia), WQI is chiefly affected by six factors, which are, chemical oxygen demand (COD), biochemical oxygen demand (BOD), dissolved oxygen (DO), suspended s...

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Bibliographic Details
Main Authors: Faridah Othman, M.E. Alaaeldin, Mohammed Seyam, Ali Najah Ahmed, Fang Yenn Teo, Chow Ming Fai, Haitham Abdulmohsin Afan, Mohsen Sherif, Ahmed Sefelnasr, Ahmed El-Shafie
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
surface water hydrology
artificial neural networks
modelling
water quality index
Online Access:http://dx.doi.org/10.1080/19942060.2020.1760942

Internet

http://dx.doi.org/10.1080/19942060.2020.1760942

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