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Water Quality Management

Assessment and Interpretation

  • Gholamreza Asadollahfardi

Part of the SpringerBriefs in Water Science and Technology book series (BRIEFSWATER)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Gholamreza Asadollahfardi
    Pages 1-3
  3. Gholamreza Asadollahfardi
    Pages 5-20
  4. Gholamreza Asadollahfardi
    Pages 21-39
  5. Gholamreza Asadollahfardi
    Pages 41-76
  6. Gholamreza Asadollahfardi
    Pages 77-91
  7. Gholamreza Asadollahfardi
    Pages 93-118

About this book

Introduction

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.

Keywords

Arid, Semi-arid and Mountain Area Artificial Neural Network Box-JENKINS Time Series Water Quality Water Quality Indice

Authors and affiliations

  • Gholamreza Asadollahfardi
    • 1
  1. 1.Civil Engineering DepartmentKharazmi UniversityTehranIran

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-44725-3
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-3-662-44724-6
  • Online ISBN 978-3-662-44725-3
  • Series Print ISSN 2194-7244
  • Series Online ISSN 2194-7252
  • Buy this book on publisher's site
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