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

,
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.

R1,580

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles15800
Mobicred@R148pm x 12* Mobicred Info
Free Delivery
Delivery AdviceShips in 10 - 15 working days



Product 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.

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

SpringerBriefs in Water Science and Technology

Release date

February 2020

Availability

Expected to ship within 10 - 15 working days

First published

2020

Authors

,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

55

Edition

1st ed. 2020

ISBN-13

978-981-15-3484-3

Barcode

9789811534843

Categories

LSN

981-15-3484-5



Trending On Loot