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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 - SpringerBriefs in Water Science and Technology

Paperback (22 Feb 2020)

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Publisher's Synopsis

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.

Book information

ISBN: 9789811534843
Publisher: Springer Nature Singapore
Imprint: Springer
Pub date:
Language: English
Number of pages: 55
Weight: 109g
Height: 235mm
Width: 155mm
Spine width: 4mm