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

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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 is a digital product.

Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model: Case Study in Perak River, Malaysia is written by Samsul Ariffin Abdul Karim; Nur Fatonah Kamsani and published by Springer. The Digital and eTextbook ISBNs for Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model are 9789811534850, 9811534853 and the print ISBNs are 9789811534843, 9811534845.