Examining innovative unsupervised learning techniques for automated characterization of complex groundwater systems-Reference-Cited by-同舟云学术

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Examining innovative unsupervised learning techniques for automated characterization of complex groundwater systems

Published:2024-09 Issue: Volume:23 Page:102594
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Mohammed Musaab A.A.^ORCID,Szabó Norbert P.,Kilik Roland,Szűcs Péter

Publisher

Elsevier BV

Reference76 articles.

1. Multiple-point statistical modeling of three-dimensional glacial aquifer heterogeneity for improved groundwater management;Kawo;Hydrogeol. J.,2023

2. Current and future challenges in groundwater. I: modeling and management of resources;Ojha;J. Hydrol. Eng.,2015

3. Characterizing a heterogeneous hydrogeological system using groundwater flow and geochemical modelling;Yang;J. Hydraul. Res.,2004

4. Aquifer heterogeneity and response time: the challenge for groundwater management;Kelly;Crop Pasture Sci.,2013

5. A review of groundwater in high mountain environments;Somers;Wiley Interdisciplinary Reviews: Water,2020

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