Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model

Case Study in Perak River, Malaysia

Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani (Autoren)

Buch | Softcover

55 Seiten

2020 | 1st ed. 2020
Springer Verlag, Singapore
978-981-15-3484-3 (ISBN)

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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.

Samsul Ariffin Abdul Karim has been a Senior Lecturer at the Fundamental and Applied Sciences Department, Universiti Teknologi PETRONAS (UTP), Malaysia for the past eleven years. Holding a B.App.Sc., M.Sc. and Ph.D. in Computational Mathematics & Computer Aided Geometric Design (CAGD) from the Universiti Sains Malaysia (USM), he has 20 years of teaching and research experience with Mathematica and MATLAB software. His research interests include curve and surface design, geometric modeling, and wavelet applications in image compression and statistics. He has published more than 120 papers in journals and conference proceedings, as well as seven books, including two research monographs. He was the recipient of the Effective Education Delivery Award, Publication Award (Journal & Conference Paper), and UTP Quality Day Award in 2010, 2011 and 2012, respectively. He is a Certified WOLFRAM Technology Associate, Mathematica Student Level. He has published three books with Springer, including Sustaining Electrical Power Resources through Energy Optimization and Future Engineering. Nur Fatonah Kamsani holds a Bachelor of Science (Hons.) in Computational Mathematics from the Universiti Teknologi MARA (UiTM), Malaysia and is currently working as a Research Assistant at the Universiti Teknologi PETRONAS (UTP). Her main research interests are in modeling and data analysis.

Introduction.- Fuzzy Multiple Linear Regression.- Water Quality Index (WQI).- Data Collection and Study Sites.- Water Quality Index Using Fuzzy Regression.

Erscheinungsdatum	28.02.2020
Reihe/Serie	SpringerBriefs in Water Science and Technology
Zusatzinfo	16 Illustrations, color; 2 Illustrations, black and white; XII, 55 p. 18 illus., 16 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Naturwissenschaften ► Biologie ► Ökologie / Naturschutz
	Naturwissenschaften ► Geowissenschaften ► Hydrologie / Ozeanografie
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Umwelttechnik / Biotechnologie
Schlagworte	Biological Oxygen Demand (BOD) • CRISP model • Fuzzy Coefficient of Determination • Fuzzy Convex Combination • Fuzzy Linear Regression • Fuzzy Triangular Number • Multiple Linear Regression • Perak River • River pollution • Water Quality Index (WQI)
ISBN-10	981-15-3484-5 / 9811534845
ISBN-13	978-981-15-3484-3 / 9789811534843
Zustand	Neuware