Skip Nav Destination
Close Modal
Update search
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- Isbn
- Eisbn
- Issn
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- Isbn
- Eisbn
- Issn
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- Isbn
- Eisbn
- Issn
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- Isbn
- Eisbn
- Issn
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- Isbn
- Eisbn
- Issn
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- Isbn
- Eisbn
- Issn
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Article Type
Date
Availability
1-3 of 3
Martin Oberascher
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Journal of Hydroinformatics (2025) 27 (5): 845–857.
Date Online: 12 May 2025
View articletitled, Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in water distribution networks
View
PDF
for article titled, Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in water distribution networks
Journal Articles
Journal of Hydroinformatics (2024) 26 (11): 3027–3040.
Date Online: 18 October 2024
Journal Articles
Journal of Hydroinformatics (2024) 26 (8): 1824–1837.
Date Online: 24 July 2024
View articletitled, Sensitivity of model-based leakage localisation in water distribution networks to water demand sampling rates and spatio-temporal data gaps
View
PDF
for article titled, Sensitivity of model-based leakage localisation in water distribution networks to water demand sampling rates and spatio-temporal data gaps