Application of statistical classification methods for predicting the acceptability of well-water quality

Cameron, Enrico; Pilla, Giorgio; Stella, FabioA.

Application of statistical classification methods for predicting the acceptability of well-water quality | Application de méthodes de classification statistique pour prévoir l’acceptabilité de la qualité de l’eau issue de forages Aplicación de métodos de clasificación estadística para predecir la aceptabilidad de la calidad del agua de pozos 应用统计分类方法预测井水水质的可接受性 Utilização de métodos de classificação estatística para previsão de aceitabilidade de qualidade da água dos poços

2018

Cameron, Enrico | Pilla, Giorgio | Stella, FabioA.

The application of statistical classification methods is investigated—in comparison also to spatial interpolation methods—for predicting the acceptability of well-water quality in a situation where an effective quantitative model of the hydrogeological system under consideration cannot be developed. In the example area in northern Italy, in particular, the aquifer is locally affected by saline water and the concentration of chloride is the main indicator of both saltwater occurrence and groundwater quality. The goal is to predict if the chloride concentration in a water well will exceed the allowable concentration so that the water is unfit for the intended use. A statistical classification algorithm achieved the best predictive performances and the results of the study show that statistical classification methods provide further tools for dealing with groundwater quality problems concerning hydrogeological systems that are too difficult to describe analytically or to simulate effectively.

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