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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model
Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model
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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model

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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.
Undertittel
Case Study in Perak River, Malaysia
ISBN
9789811534850
Språk
Engelsk
Utgivelsesdato
21.2.2020
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  • Epub - Adobe DRM
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