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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model

Case Study in Perak River, Malaysia

  • Samsul Ariffin Abdul Karim
  • Nur Fatonah Kamsani
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  • 93 Downloads

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

Introduction

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.

Keywords

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

  • Samsul Ariffin Abdul Karim
    • 1
  • Nur Fatonah Kamsani
    • 2
  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

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-15-3485-0
  • Copyright Information The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-981-15-3484-3
  • Online ISBN 978-981-15-3485-0
  • Series Print ISSN 2194-7244
  • Series Online ISSN 2194-7252
  • Buy this book on publisher's site