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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model: Case Study in Perak River, Malaysia
Paperback
Series: Springerbriefs in Water Science and Technology
Technology & EngineeringEnvironmental Studies
ISBN13: 9789811534843
Publisher: Springer
Published: Feb 22 2020
Pages: 55
Weight: 0.24
Height: 0.14 Width: 6.14 Depth: 9.21
Language: English
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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