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Water quality index prediction using...

Karim, Samsul Ariffin Abdul.

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Water quality index prediction using multiple linear fuzzy regression model = case study in Perak River, Malaysia /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Water quality index prediction using multiple linear fuzzy regression model/ by Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani.
Reminder of title:	case study in Perak River, Malaysia /
Author:	Karim, Samsul Ariffin Abdul.
other author:	Kamsani, Nur Fatonah.
Published:	Singapore :Springer Singapore : : 2020.,
Description:	xii, 55 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Fuzzy Multiple Linear Regression -- Water Quality Index (WQI) -- Data Collection and Study Sites -- Water Quality Index Using Fuzzy Regression.
Contained By:	Springer eBooks
Subject:	Water quality - Case studies. - Statistical methods - Malaysia -
Online resource:	https://doi.org/10.1007/978-981-15-3485-0
ISBN:	9789811534850

Water quality index prediction using multiple linear fuzzy regression model = case study in Perak River, Malaysia /
Karim, Samsul Ariffin Abdul.

Water quality index prediction using multiple linear fuzzy regression modelcase study in Perak River, Malaysia /[electronic resource] :by Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani. - Singapore :Springer Singapore :2020. - xii, 55 p. :ill., digital ;24 cm. - SpringerBriefs in water science and technology,2194-7244. - SpringerBriefs in water science and technology..

Introduction -- Fuzzy Multiple Linear Regression -- Water Quality Index (WQI) -- Data Collection and Study Sites -- Water Quality Index Using Fuzzy Regression.

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.

ISBN: 9789811534850

Standard No.: 10.1007/978-981-15-3485-0doiSubjects--Topical Terms:

3448253
Water quality
--Statistical methods--Malaysia--Case studies.

LC Class. No.: TD370 / .K375 2020

Dewey Class. No.: 363.61

Water quality index prediction using multiple linear fuzzy regression model = case study in Perak River, Malaysia /
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245 1 0 $a Water quality index prediction using multiple linear fuzzy regression model $h [electronic resource] : $b case study in Perak River, Malaysia / $c by Samsul Ariffin Abdul Karim, Nur Fatonah Kamsani.
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300 $a xii, 55 p. : $b ill., digital ; $c 24 cm.
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505 0 $a Introduction -- Fuzzy Multiple Linear Regression -- Water Quality Index (WQI) -- Data Collection and Study Sites -- Water Quality Index Using Fuzzy Regression.
520 $a 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.
650 0 $a Water quality $z Malaysia $x Statistical methods $v Case studies. $3 3448253
650 1 4 $a Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution. $3 891237
650 2 4 $a Water Quality/Water Pollution. $3 2054370
650 2 4 $a Computational Intelligence. $3 1001631
700 1 $a Kamsani, Nur Fatonah. $3 3448252
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