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Volume 26, Issue 4
1 April 2024
Issue Cover
ISSN 1464-7141
EISSN 1465-1734
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Research Article

Monitoring domestic water consumption: a comparative study of model-based and data-driven end-use disaggregation methods
Pavlos V. Pavlou; Stylianos Filippou; Solon Solonos; Stelios G. Vrachimis; Kleanthis Malialis ...
View articletitled, Monitoring domestic water consumption: a comparative study of model-based and data-driven end-use disaggregation methods
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Technical Paper

Sewer sediment deposition prediction using a two-stage machine learning solution
Marc Ribalta Gené; Ramón Béjar; Carles Mateu; Lluís Corominas; Oscar Esbrí ...
View articletitled, Sewer sediment deposition prediction using a two-stage machine learning solution
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Research Article

Machine learning rather than trial and error to close morphodynamical tuneable parameters: Application to a two-phase/two-layer model
Robin Meurice; Sandra Soares-Frazão
View articletitled, Machine learning rather than trial and error to close morphodynamical tuneable parameters: Application to a two-phase/two-layer model
Supplementary data
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Technical Paper

Decision trees in cost–benefit analysis for flood risk management plans
Jacopo Napolitano; Massimo Di Francesco; Giovanni Maria Sechi
View articletitled, Decision trees in cost–benefit analysis for flood risk management plans
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Research Article

Machine learning techniques for flood forecasting
Fayrouz Abd Alkareem Hadi; Lariyah Mohd Sidek; Gasim Hayder Ahmed Salih; Hidayah Basri; Saad Sh. Sammen ...
View articletitled, Machine learning techniques for flood forecasting
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Technical Paper

Utilizing waveform synthesis in harmonic oscillator seasonal trend model for short- and long-term streamflow drought modeling and forecasting
Krzysztof Raczyński; Jamie Dyer
View articletitled, Utilizing waveform synthesis in harmonic oscillator seasonal trend model for short- and long-term streamflow drought modeling and forecasting
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Machine learning approaches for anomalous storm pattern identification
David Sharp; Andrew Paul Barnes
View articletitled, Machine learning approaches for anomalous storm pattern identification
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Research Article

Leveraging historic streamflow and weather data with deep learning for enhanced streamflow predictions
Christiaan Schutte; Michael van der Laan; Barend van der Merwe
View articletitled, Leveraging historic streamflow and weather data with deep learning for enhanced streamflow predictions
Supplementary data
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Using statistical and machine learning approaches to describe estuarine tidal dynamics
Franziska Lauer; Frank Kösters
View articletitled, Using statistical and machine learning approaches to describe estuarine tidal dynamics
Supplementary data
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Technical Paper

Detecting and locating chemical intrusion in water distribution systems using 911 calls
Ehsan Roshani; Pavel Popov; Yehuda Kleiner; Sina Sanjari; Andrew Colombo ...
View articletitled, Detecting and locating chemical intrusion in water distribution systems using 911 calls
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Deep learning for automated trash screen blockage detection using cameras: Actionable information for flood risk management
Remy Vandaele; Sarah L. Dance; Varun Ojha
View articletitled, Deep learning for automated trash screen blockage detection using cameras: Actionable information for flood risk management
Supplementary data
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Research Article

Developing an innovative machine learning model for rainfall prediction in a semi-arid region
Sarmad Dashti Latif; Dyar Othman Mohammed; Alhassan Jaafar
View articletitled, Developing an innovative machine learning model for rainfall prediction in a semi-arid region
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Application of real-time water temperature prediction system in winter for long-distance water diversion projects
Zepeng Xu; Mengkai Liu; Minghai Huang; Letian Wen; Xinlei Guo
View articletitled, Application of real-time water temperature prediction system in winter for long-distance water diversion projects
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Erratum

Erratum: Journal of Hydroinformatics 1 November 2022; 24 (6): 1234–1253. Fluid transient analysis by the method of characteristics using an object-oriented simulation tool, Ramón Pérez, Sebastián Dormido, doi: https://dx.doi.org/10.2166/hydro.2022.067
View articletitled, Erratum: <em>Journal of Hydroinformatics</em> 1 November 2022; 24 (6): 1234–1253. Fluid transient analysis by the method of characteristics using an object-oriented simulation tool, Ramón Pérez, Sebastián Dormido, doi: https://dx.doi.org/10.2166/hydro.2022.067
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