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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model - Case Study in Perak River, Malaysia (Paperback, 1st ed. 2020)
Loot Price: R1,375
Discovery Miles 13 750
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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model - Case Study in Perak River, Malaysia (Paperback, 1st ed. 2020)
Series: SpringerBriefs in Water Science and Technology
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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.
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