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Assessing Water Quality by Statistical Methods
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Human society's progress has increased the quantity of pollutants emitted into the environment. Water is one of the natural resources most affected by economic activity, with pollutants reaching water bodies without proper treatment. In this context, this book presents the latest advances and developments in statistical approaches for evaluating and forecasting water resources quality. New methodologies for analyzing and predicting the water quality that can be applied in related fields are also presented.
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Keywords
- aquifer
- bivariate statistics
- carbonate aquifers
- changes in climate
- Chaobai River
- coastal area
- COP
- decision trees
- DRASTIC
- Economics
- Economics, finance, business & management
- empirical model
- Environmental economics
- Environmental science, engineering & technology
- factor analysis
- flash-floods
- flooding
- fuzzy multicriteria decision-making
- genetic algorithm (GA)
- Groundwater
- groundwater vulnerability
- Gulf of Aqaba
- human intervention
- IDW
- index
- inorganic nitrogen
- Jordan
- K-Means
- land-cover type
- linear regression
- low-pass filtering
- Metals
- metropolitan area
- minimum water quality index
- Multivariate statistical analysis
- multivariate statistical methods
- multivariate statistics
- n/a
- nitrate validation
- optimized DRASTIC
- Paldang Reservoir
- Pollution
- pollution control
- pollution source
- principal component analysis
- reclaimed water
- Red Sea
- Reference, information & interdisciplinary subjects
- Research & information: general
- river water
- Romania
- salty lake
- shallow groundwater
- small catchments
- spatial interpolation
- Technology, engineering, agriculture
- Trophic State Index
- urban stream
- vulnerability
- Water chemistry
- water parameters
- Water quality
- water quality index
- water quality variation
- wavelet analysis
Links
DOI: 10.3390/books978-3-0365-6358-9Editions