Assessing Water Quality by Statistical Methods

• Other Authors: Barbulescu, Alina (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Research & information: general; Environmental economics; Pollution control; aquifer; DRASTIC; index; groundwater; vulnerability; water quality variation; wavelet analysis; low-pass filtering; linear regression; water quality; coastal area; metals; pollution source; Gulf of Aqaba; Jordan; Red Sea; human intervention; changes in climate; salty lake; water chemistry; river water; reclaimed water; multivariate statistics; Chaobai River; water parameters; k-means; principal component analysis; water quality index; groundwater vulnerability; carbonate aquifers; optimized DRASTIC; COP; decision trees; nitrate validation; inorganic nitrogen; shallow groundwater; multivariate statistical analysis; urban stream; factor analysis; land-cover type; metropolitan area; minimum water quality index; pollution; multivariate statistical methods; Trophic State Index; empirical model; Paldang Reservoir; flooding; flash-floods; bivariate statistics; fuzzy multicriteria decision-making; small catchments; Romania; genetic algorithm (GA); IDW; spatial interpolation; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

Summary

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.

Physical Description

1 electronic resource (252 p.)

ISBN

books978-3-0365-6358-9
9783036563596
9783036563589

Access

Open Access