GeoTemporal clustering for aquifer delineation: a big data approach to synchronizing and analyzing variable-length groundwater time series

Abstract Groundwater is a vital global resource. However, mapping aquifers remains challenging, particularly in developing nations. This study proposes a novel methodology for aquifer delineation using time-series clustering of groundwater-level data. The modular clustering framework utilizes hierar...

Full description

Saved in:
Bibliographic Details
Main Authors: Khalid ElHaj, Dalal Alshamsi
Format: Article
Language:English
Published: SpringerOpen 2025-02-01
Series:Journal of Big Data
Subjects:
Online Access:https://doi.org/10.1186/s40537-025-01060-6
Tags: Add Tag
No Tags, Be the first to tag this record!