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

    • £35.99
    • £35.99

Publisher Description

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.

GENRE
Science & Nature
RELEASED
2020
21 February
LANGUAGE
EN
English
LENGTH
67
Pages
PUBLISHER
Springer Nature Singapore
SIZE
7.2
MB
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