Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model Case Study in Perak River, Malaysia
Title:
Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model Case Study in Perak River, Malaysia
ISBN:
9789811534850
Personal Author:
Edition:
1st ed. 2020.
Publication Information New:
Singapore : Springer Nature Singapore : Imprint: Springer, 2020.
Physical Description:
XII, 55 p. 18 illus., 16 illus. in color. online resource.
Series:
SpringerBriefs in Water Science and Technology,
Contents:
Introduction -- Fuzzy Multiple Linear Regression -- Water Quality Index (WQI) -- Data Collection and Study Sites -- Water Quality Index Using Fuzzy Regression.
Abstract:
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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Language:
English