Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model / SpringerBriefs in Water Science and Technology (PDF)
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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.
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.
- Autoren: Samsul Ariffin Abdul Karim , Nur Fatonah Kamsani
- 2020, 1st ed. 2020, 55 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 9811534853
- ISBN-13: 9789811534850
- Erscheinungsdatum: 21.02.2020
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- Grösse: 1.94 MB
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