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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model - Case Study in Perak River, Malaysia (Paperback, 1st ed. 2020) Loot Price: R1,539
Discovery Miles 15 390
Repayment Terms: R144 pm x 12*
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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model - Case Study in Perak River, Malaysia (Paperback,...

Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model - Case Study in Perak River, Malaysia (Paperback, 1st ed. 2020)

Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani

Series: SpringerBriefs in Water Science and Technology

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Loot Price R1,539 Discovery Miles 15 390 | Repayment Terms: R144 pm x 12*

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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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: SpringerBriefs in Water Science and Technology
Release date: February 2020
First published: 2020
Authors: Samsul Ariffin Abdul Karim • Nur Fatonah Kamsani
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 55
Edition: 1st ed. 2020
ISBN-13: 978-981-15-3484-3
Categories: Books > Business & Economics > Industry & industrial studies > Energy industries & utilities > Water industries
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Professional & Technical > Environmental engineering & technology > Sanitary & municipal engineering > Water supply & treatment > General
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LSN: 981-15-3484-5
Barcode: 9789811534843

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