Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model
Case Study in Perak River, Malaysia
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Beschreibung
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.
Outlines a step-by-step formula for Water Quality Index (WQI) calculation and fuzzy linear multiple regression Presents an enhanced fuzzy convex combination for predicting water quality classes Details the methodology used to develop the proposed model
Autor*in
Samsul Ariffin Abdul Karim
Themen in »Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model«
Water Quality Index (WQI) Perak River Fuzzy Linear Regression Fuzzy Convex Combination Multiple Linear Regression Fuzzy Triangular Number Fuzzy Coefficient of Determination CRISP model River Pollution Biological Oxygen Demand (BOD) water quality and water pollution