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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model : Case Study in Perak River, Malaysia - 2020 ed.

By: (Author) Nur Fatonah Kamsani , (Author) Samsul Ariffin Abdul Karim

Extended Catalogue

Ksh 8,100.00

Format: Paperback / Softback

ISBN-10: 9811534845

ISBN-13: 9789811534843

Edition: 2020 ed.

Series: SpringerBriefs in Water Science and Technology

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

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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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