Authors:
- 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 book series: SpringerBriefs in Water Science and Technology (BRIEFSWATER)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
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.
Keywords
Authors and Affiliations
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Fundamental and Applied Sciences Department and Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia
Samsul Ariffin Abdul Karim
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Fundamental and Applied Sciences Department, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia
Nur Fatonah Kamsani
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
Book Title: Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model
Book Subtitle: Case Study in Perak River, Malaysia
Authors: Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani
Series Title: SpringerBriefs in Water Science and Technology
DOI: https://doi.org/10.1007/978-981-15-3485-0
Publisher: Springer Singapore
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2020
Softcover ISBN: 978-981-15-3484-3Published: 22 February 2020
eBook ISBN: 978-981-15-3485-0Published: 21 February 2020
Series ISSN: 2194-7244
Series E-ISSN: 2194-7252
Edition Number: 1
Number of Pages: XII, 55
Number of Illustrations: 2 b/w illustrations, 16 illustrations in colour
Topics: Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution, Water Quality/Water Pollution, Computational Intelligence