Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model : Case Study in Perak River, Malaysia

2020 ed.

by Nur Fatonah Kamsani , Samsul Ariffin Abdul Karim

Book Details

Format Paperback / Softback

Book Series SpringerBriefs in Water Science and Technology

ISBN-10 9811534845

ISBN-13 9789811534843

Edition 2020 ed.

Publisher Springer Verlag, Singapore

Imprint Springer Verlag, Singapore

Country of Manufacture GB

Country of Publication GB

Publication Date Feb 22nd, 2020

Print length 55 Pages

Product Classification: Water industries Water supply & treatment Artificial intelligence

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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.

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.

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