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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model
- Case Study in Perak River, Malaysia
- Binding:
- Paperback
- Pages:
- 55
- Published:
- February 21, 2020
- Edition:
- 12020
- Dimensions:
- 155x235x0 mm.
- Weight:
- 454 g.
Delivery:
2-4 weeks
Expected delivery: December 8, 2024
Description of Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model
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 ΓÇô 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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