Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model

ebook Case Study in Perak River, Malaysia · SpringerBriefs in Water Science and Technology

By Samsul Ariffin Abdul Karim

cover image of Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model

Sign up to save your library

With an OverDrive account, you can save your favorite libraries for at-a-glance information about availability. Find out more about OverDrive accounts.

   Not today

Find this title in Libby, the library reading app by OverDrive.

Download Libby on the App Store Download Libby on Google Play

Search for a digital library with this title

Title found at these libraries:

Library Name Distance
Loading...

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.

Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model