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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

av Samsul Ariffin Abdul Karim

del av SpringerBriefs in Water Science and Technology-serien

Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model av Samsul Ariffin Abdul Karim
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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  • Språk:
  • Engelska
  • ISBN:
  • 9789811534843
  • Format:
  • Häftad
  • Sidor:
  • 55
  • Utgiven:
  • 22. februari 2020
  • Utgåva:
  • 12020
  • Mått:
  • 155x235x0 mm.
  • Vikt:
  • 454 g.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 17. december 2024

Om Samsul Ariffin Abdul Karim

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Beskrivning av 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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