Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model: Case Study In Perak River, Malaysia
by Samsul Ariffin Abdul Karim 2021-01-09 01:01:37
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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 oxyge... 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.

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  • 9.25 X 6.1 X 0 in
  • 55
  • Springer Nature
  • February 22, 2020
  • English
  • 9789811534843
Samsul Ariffin Abdul Karim is a Senior Lecturer at Fundamental and Applied Sciences Department, Universiti Teknologi PETRONAS (UTP), Malaysia. He has been in the department for more than eleven years....
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