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
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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.

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