Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model 1

Data & IT

Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model

Samsul Ariffin Abdul Karim • Nur Fatonah Kamsani

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55 sidor
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.

Författare: Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani
Format: Pocket/Paperback
ISBN: 9789811534843
Språk: Engelska
Antal sidor: 55
Utgivningsdatum: 2020-02-22
Förlag: Springer Verlag, Singapore