New perspective on density-based spatial clustering of applications with noise for groundwater assessment

•Novel frameworks were developed for groundwater assessment in arid environments.•Polynomial kernel outperformed other types in reducing the dimensionality of the dataset.•DBSCAN detected groundwater clusters and identified contamination hotspots effectively.•Seawater intrusion and over-extraction w...

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Vydané v:	Journal of hydrology (Amsterdam) Ročník 661; s. 133566
Hlavní autori:	Jibrin, Abdulhayat M., Al-Suwaiyan, Mohammad, Yaseen, Zaher Mundher, Abba, Sani I.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.11.2025
Predmet:	DBSCAN Groundwater quality Kernel PCA Seawater intrusion Spatial clusters Kernel PCA DBSCAN Spatial clusters Seawater intrusion Groundwater quality
ISSN:	0022-1694
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