Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model
Av Nur Fatonah Kamsani, Samsul Ariffin Abdul Karim, 2020.Del av serien SpringerBriefs in Water Science and Technology.
Case Study in Perak River, Malaysia
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.
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 20 dager
Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model
Av Nur Fatonah Kamsani, Samsul Ariffin Abdul Karim, 2020.Del av serien SpringerBriefs in Water Science and Technology.
Case Study in Perak River, Malaysia
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.
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 20 dager
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