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    Studiebog
    Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model

    Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model

    - Case Study in Perak River, Malaysia

    Af
    Bog E-bog
    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    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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    10 cm
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    15,5 cm
    23,5 cm

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    biological oxygen demand (BOD) Fuzzy Linear Regression CRISP model Fuzzy Coefficient of Determination Fuzzy Triangular Number Fuzzy Convex Combination Multiple Linear Regression Water Quality Index (WQI) Perak River River Pollution water quality and water pollution
    Machine Name: SAXO082