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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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| Management number | 233646260 | Release Date | 2026/06/27 | List Price | US$17.59 | Model Number | 233646260 | ||
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| 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
| ISBN10 | 9811534845 |
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| ISBN13 | 978-9811534843 |
| Edition | 1st ed. 2020 |
| Language | English |
| Publisher | Springer |
| Dimensions | 6.1 x 0.16 x 9.25 inches |
| Item Weight | 3.84 ounces |
| Print length | 67 pages |
| Part of series | SpringerBriefs in Water Science and Technology |
| Publication date | February 22, 2020 |
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