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  5. 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 Samsul Ariffin Abdul Karim

indgår i SpringerBriefs in Water Science and Technology serien

Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model af Samsul Ariffin Abdul Karim
Bag om 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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789811534843
  • Indbinding:
  • Paperback
  • Sideantal:
  • 55
  • Udgivet:
  • 22. februar 2020
  • Udgave:
  • 12020
  • Størrelse:
  • 155x235x0 mm.
  • Vægt:
  • 454 g.
  • BLACK NOVEMBER
Leveringstid: 8-11 hverdage
Forventet levering: 7. december 2024

Bag om Samsul Ariffin Abdul Karim

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Beskrivelse af 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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