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Book of Abstracts of the 16th International Conference on Hydroinformatics (Zaragoza, 2026)

  • ISSN Online: 3007-2174
  • ISSN Print:
  • ISBN: 978-90-836443-7-0
  • Publisher: IAHR
  • Editor(s): Pilar García-Navarro, Pilar Brufau, Mario Morales-Hernández, Adrián Navas-Montilla & Sergio Martínez-Aranda
  • Related: 16th International Conference on Hydroinformatics

The Conference received a total of 317 abstract submissions, resulting in 285 oral presentations and 32 poster presentations. Additionally, there were 6 keynote speakers, 6 special sessions, 2 workshops, and many exhibition booths. The total number of international delegates to the conference exceeded 350.

ID Title Authors Year
40393 Process-Guided LSTM Model for Physically Consistent Prediction of Temperature and Turbidity in a Stratified Reservoir
Sungjin Kim; Sewoong Chung
2026
40394 AI-Based Decision Support Tools for Short-Term Forecasting and Aeration Control in Wastewater Treatment Plants
Lara Suarez Casabiell; Pedro Simon; Joaquin Lopez; Juan Manuel Fernandez Montenegro
2026
40395 Applying Machine Learning to Develop a River Water Quality Prediction Model
Chia-Ling Chang; Wen-Yun Fu; Shien-Tsung Chen
2026
40396 A Digital Twin Framework for Real-Time Monitoring and Intelligent Operation of Small Hydropower Plants
Shuang Zhang; Tifeng Zou; Shi Feng
2026
40397 Machine Learning Applied to Ground Water-Surface Water Connectivity in the Wet Pampa Plain: Ground Water Level Forecast and Assistance for Baseflow Separation Methods
Magali Fornes; Ignacio Villanueva; Sebastian Dietrich
2026
40398 Optimization of 2d Hydrodynamic Model Roughness with Multioutput Gaussian Process Emulators and Bayesian Active Learning
Andres Heredia; Silke Wieprecht; Sebastian Schwindt
2026
40399 Performance Evaluation of a Transformer-Based Energy Forecasting Model for Heterogeneous End-Users: Agriculture, Port, Community, and Aquaculture
Mariana Akemi Ikegawa Bernabe; Rafael Gonzalez Perea; Juan Antonio Rodriguez Diaz; Jorge Garcia Morillo
2026
40400 Spatio-Temporal Graph Neural Networks for Non-Stationary Extreme Precipitation: Spatial Heterogeneity of Atmospheric Circulation Controls over China
Qingwen Deng; Dong Wang; Along Zhang
2026
40401 Predictive Modelling of Real Water Losses in Water Distribution Networks Using Random Forest Algorithm
Stefania Piazza; Gabriele Freni
2026
40402 Nitrate Spatial Prediction in Groundwater Using a Supervised Classification Approach and Stakeholder Co-Creation: The Chalk Aquifer Case in East Anglia
Gomez-Escalonilla V; Baron H; Read T; Watson J; Rodriguez Del Rosario M; Martinez-Santos P; Keller V; Rickards N; Darch G
2026

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