Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model: 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. Read More

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. Read Less

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  	This is a digital edition of this title. Rent eBook (5 Options) 30 Day Rental: $16.50 (Expires Dec 27, 2024) 60 Day Rental: $22.00 (Expires Jan 26, 2025) 90 Day Rental: $27.50 (Expires Feb 25, 2025) 120 Day Rental: $33.00 (Expires Mar 27, 2025) 180 Day Rental: $35.75 (Expires May 26, 2025) Buy eBook Lifetime Access: $54.99 Title: Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model by Samsul Ariffin Abdul Karim; Nur Fatonah Kamsani Publisher: Springer Nature Print ISBN: 9789811534843, 9811534845 eText ISBN: 9789811534850 Edition: 2020 2020 edition Format: EPUB eBook	$16.50 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ