Water quality management : assessment and interpretation

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Title:

Author:

Asadollahfardi, Gholamreza, author.

ISBN:

9783662447246

9783662447260

Personal Author:

Asadollahfardi, Gholamreza, author.

Physical Description:

ix, 118 pages : illustrations (some color), color maps ; 24 cm.

Series:

SpringerBriefs in water science and technology,

SpringerBriefs in water science and technology.

Contents:

Introduction -- Selection of water quality monitoring stations -- Water quality indices (WQI) -- Water series modeling -- Artificial neural network -- Introducing of Ce-Qual-W2 Model and its application

Abstract:

Considering the significance of water quality for drinking, irrigation and industry, availability of accurate and sufficient water quality data is necessary and having enough data without proper interpretation is not helpful for water quality management decisions. Hence, analysis of the existing data and prediction of future of water quality is vital. The current volume first defines the importance of water quality parameters regarding public health and irrigation. Secondly, the climatic situation and hydrological cycle of the area is considered for interpretation of the data. Various methodologies such as Box-Jenkins time series analysis, water quality indices, artificial neural networks and principal component analysis are described and applied to actual data for different environmental conditions such as arid, semiarid and mountainous areas. This book is a user manual for students and professionals involved in water quality planning and management.

Subject Term:

Water quality management.

Water quality management -- Mathematical models.

Water Quality.

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:GEN-BOOK	33168025776168	628.1 A837W 2015	1	Searching... Unknown

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Summary

Hence, analysis of the existing data and prediction of future of water quality is vital. The current volume first defines the importance of water quality parameters regarding public health and irrigation. Secondly, the climatic situation and hydrological cycle of the area is considered for interpretation of the data.

Various methodologies such as Box-Jenkins time series analysis, water quality indices, artificial neural networks and principal component analysis are described and applied to actual data for different environmental conditions such as arid, semiarid and mountainous areas.

This book is a user manual for students and professionals involved in water quality planning and management.