© 2020

Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model

Case Study in Perak River, Malaysia

  • Outlines a step-by-step formula for Water Quality Index (WQI) calculation and fuzzy linear multiple regression

  • Presents an enhanced fuzzy convex combination for predicting water quality classes

  • Details the methodology used to develop the proposed model


Part of the SpringerBriefs in Water Science and Technology book series (BRIEFSWATER)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani
    Pages 1-10
  3. Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani
    Pages 11-21
  4. Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani
    Pages 23-30
  5. Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani
    Pages 31-35
  6. Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani
    Pages 37-53
  7. Back Matter
    Pages 55-55

About this book


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.


Water Quality Index (WQI) Perak River Fuzzy Linear Regression Fuzzy Convex Combination Multiple Linear Regression Fuzzy Triangular Number Fuzzy Coefficient of Determination CRISP model River Pollution Biological Oxygen Demand (BOD)

Authors and affiliations

  1. 1.Fundamental and Applied Sciences Department and Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous SystemUniversiti Teknologi PETRONASSeri IskandarMalaysia
  2. 2.Fundamental and Applied Sciences DepartmentUniversiti Teknologi PETRONASSeri IskandarMalaysia

About the authors

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.

Bibliographic information