Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model
SpringerBriefs in Water Science and Technology

Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model

Case Study in Perak River, Malaysia

    • USD 39.99
    • USD 39.99

Descripción editorial

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.

GÉNERO
Ciencia y naturaleza
PUBLICADO
2020
21 de febrero
IDIOMA
EN
Inglés
EXTENSIÓN
67
Páginas
EDITORIAL
Springer Nature Singapore
VENDEDOR
Springer Nature B.V.
TAMAÑO
7.2
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