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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model: Case Study in Perak River, Malaysia (Springerbriefs in Water Science and Technology)
Samsul Ariffin Abdul Karim; Nur Fatonah Kamsani (Author)
·
Springer
· Paperback
Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model: Case Study in Perak River, Malaysia (Springerbriefs in Water Science and Technology) - Samsul Ariffin Abdul Karim; Nur Fatonah Kamsani
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Synopsis "Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model: Case Study in Perak River, Malaysia (Springerbriefs in Water Science and Technology)"
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.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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