SpringerBriefs in Water Science and Technology

1 total work

Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model

by Samsul Ariffin Abdul Karim and Nur Fatonah Kamsani

Published 22 February 2020

This book addresses the prediction of the Water Quality Index (WQI) at Perak River, State of Perak, Malaysia, using a fuzzy multiple linear regression model to tackle the uncertainty in the measurements of six key parameters - dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), suspended solids (SS), pH value (pH) and ammoniacal nitrogen (NH3-NL). Given its scope, the book is suitable for graduate students, researchers and water quality scientists.