Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model 1

Data & IT

Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model

Samsul Ariffin Abdul Karim • Nur Fatonah Kamsani

Pocket

719:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 10-16 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

55 sidor
2020

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.

Författare: Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani
Format: Pocket/Paperback
ISBN: 9789811534843
Språk: Engelska
Antal sidor: 55
Utgivningsdatum: 2020-02-22
Förlag: Springer Verlag, Singapore