Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model
Nur Fatonah Kamsani, Samsul Ariffin Abdul Karim
* Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.
Naturwissenschaften, Medizin, Informatik, Technik / Geowissenschaften
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.
Kundenbewertungen
Water Quality Index (WQI), Fuzzy Convex Combination, water quality and water pollution, CRISP model, Fuzzy Triangular Number, Fuzzy Coefficient of Determination, Multiple Linear Regression, Biological Oxygen Demand (BOD), Fuzzy Linear Regression, River Pollution, Perak River