Groundwater Quality Monitoring Using In-Situ Measurements and Hybrid Machine Learning with Empirical Bayesian Kriging Interpolation Method

This article discusses the assessment of groundwater quality using a hybrid technique that would aid in the convenience of groundwater (GW) quality monitoring. Twenty eight (28) GW samples representing 62 barangays in Calapan City, Oriental Mindoro, Philippines were analyzed for their physicochemica...

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Autori principali:	Delia B. Senoro, Kevin Lawrence M. de Jesus, Leonel C. Mendoza, Enya Marie D. Apostol, Katherine S. Escalona, Eduardo B. Chan
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2021-12-01
Serie:	Applied Sciences
Soggetti:	groundwater heavy metals physicochemical parameters in-situ machine learning geostatistical analysis
Accesso online:	https://www.mdpi.com/2076-3417/12/1/132
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