Water Quality Management electronic resource Assessment and Interpretation / by Gholamreza Asadollahfardi.
Material type:
TextSeries: SpringerBriefs in Water Science and TechnologyPublication details: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015Description: IX, 118 p. 44 illus., 39 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783662447253Subject(s): earth sciences | Hydrogeology | Mathematical physics | Water pollution | Earth Sciences | Hydrogeology | Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution | Mathematical Applications in the Physical SciencesDDC classification: 551.4 LOC classification: GB1001-1199.8Online resources: Click here to access online
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Springer eBooksSummary: 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.
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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