Water Quality Management

Assessment and Interpretation

Nonfiction, Science & Nature, Technology, Environmental, Science, Earth Sciences
Cover of the book Water Quality Management by Gholamreza Asadollahfardi, Springer Berlin Heidelberg
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Gholamreza Asadollahfardi ISBN: 9783662447253
Publisher: Springer Berlin Heidelberg Publication: September 26, 2014
Imprint: Springer Language: English
Author: Gholamreza Asadollahfardi
ISBN: 9783662447253
Publisher: Springer Berlin Heidelberg
Publication: September 26, 2014
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer Berlin Heidelberg

Cover of the book Virology and Immunology in Multiple Sclerosis: Rationale for Therapy by Gholamreza Asadollahfardi
Cover of the book Personality Assessment via Questionnaires by Gholamreza Asadollahfardi
Cover of the book Natriuretic Hormone by Gholamreza Asadollahfardi
Cover of the book Specific Intermolecular Interactions of Organic Compounds by Gholamreza Asadollahfardi
Cover of the book Endosymbionts in Paramecium by Gholamreza Asadollahfardi
Cover of the book Mechatronic Modeling of Real-Time Wheel-Rail Contact by Gholamreza Asadollahfardi
Cover of the book Fließgewässer- und Auenentwicklung by Gholamreza Asadollahfardi
Cover of the book Terrigenous Mass Movements by Gholamreza Asadollahfardi
Cover of the book Leistungsphysiologie by Gholamreza Asadollahfardi
Cover of the book Antibiotic Resistance by Gholamreza Asadollahfardi
Cover of the book Temporal and Spatial Patterns in Carbonate Platforms by Gholamreza Asadollahfardi
Cover of the book Probability in Complex Physical Systems by Gholamreza Asadollahfardi
Cover of the book Dermatopathology by Gholamreza Asadollahfardi
Cover of the book Anxiolytic β-Carbolines by Gholamreza Asadollahfardi
Cover of the book Smarte Aufgaben zu Mechanik und Wärme by Gholamreza Asadollahfardi
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy