Record link: 
http://hdl.handle.net/20.500.12708/205221
-
Title: 
Interpretable machine learning-based discharge and water quality forecasting of Alpine karst springs
en
Citation: 
Pölz, A., Derx, J., Demeter, K., Farnleitner, A., & Blaschke, A. (2024, September 9). Interpretable machine learning-based discharge and water quality forecasting of Alpine karst springs [Conference Presentation]. World Groundwater Congress, Switzerland.
-
Publication Type: 
Presentation - Conference Presentation
en
Language: 
English
-
Authors: 
Pölz, Anna 
Derx, Julia 
Demeter, Katalin 
Farnleitner, Andreas 
Blaschke, Alfred 
-
Organisational Unit: 
E222-02 - Forschungsbereich Ingenieurhydrologie 
-
Date (published): 
9-Sep-2024
-
Event name: 
World Groundwater Congress 
en
Event date: 
8-Sep-2024 - 13-Sep-2024
-
Event place: 
Switzerland
-
Keywords: 
karst; water quality; forecasting; machine learning
en
Research Areas: 
Materials Characterization: 20%
Efficient Utilisation of Material Resources: 50%
Modeling and Simulation: 30%
-
Science Branch: 
1051 - Geologie, Mineralogie: 50%
2071 - Umwelttechnik: 20%
1053 - Hydrologie: 30%
-
Appears in Collections:
Presentation

Show full item record

Page view(s)

16
checked on Dec 5, 2024

Google ScholarTM

Check