Record link: 
https://doi.org/10.34726/hss.2026.142061
http://hdl.handle.net/20.500.12708/227884
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Title: 
Explainable Deep Learning approaches for karst spring discharge and water quality forecasting
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Citation: 
Pölz, A. (2026). Explainable Deep Learning approaches for karst spring discharge and water quality forecasting [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.142061
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reposiTUm DOI: 
10.34726/hss.2026.142061
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CatalogPlus: 
AC17852634
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Publication Type: 
Thesis - Dissertation
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Language: 
English
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Authors: 
Pölz, Anna 
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Advisor: 
Derx, Julia 
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Co-advisor: 
Farnleitner, Andreas 
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Organisational Unit: 
E222 - Institut für Wasserbau und Ingenieurhydrologie 
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Date (published): 
2026
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Number of Pages: 
127
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Keywords: 
Deep-Learning-Methoden; Karstquellschüttung; Wasserqualität
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Explainable Deep Learning; karst spring discharge; water quality
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License: 
In Copyright
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