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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model: Case Study in Perak River, Malaysia (SpringerBriefs in Water Science and Technology)
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Product details
| Management number | 232093450 | Release Date | 2026/06/18 | List Price | US$18.96 | Model Number | 232093450 | ||
|---|---|---|---|---|---|---|---|---|---|
| Category | |||||||||
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. Read more
| ASIN | B08546YCGY |
|---|---|
| XRay | Not Enabled |
| ISBN13 | 978-9811534850 |
| Edition | 1st ed. 2020 |
| Language | English |
| File size | 9.3 MB |
| Page Flip | Enabled |
| Publisher | Springer |
| Word Wise | Enabled |
| Print length | 92 pages |
| Accessibility | Learn more |
| Part of series | SpringerBriefs in Water Science and Technology |
| Publication date | February 21, 2020 |
| Enhanced typesetting | Enabled |
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