Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model e-bog
436,85 DKK
(inkl. moms 546,06 DKK)
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 scop...
E-bog
436,85 DKK
Forlag
Springer
Udgivet
21 februar 2020
Genrer
Hydrology and the hydrosphere
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9789811534850
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.