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Volume 27, Issue 3
1 March 2025
Journal of Hydroinformatics Cover Image for Volume 27, Issue 3
ISSN 1464-7141
EISSN 1465-1734
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Special Issue Paper

Future precipitation patterns: investigating the IDF curve shifts under CMIP6 pathways
Muhammad Ibrahim Khan; Fayaz Ahmad Khan; Afed Ullah Khan; Basir Ullah; Abdulnoor A. J. Ghanim ...
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Practice Paper

Modelling hydraulic conductivity of porous media using machine learning techniques
Ankita Devi; Abhishish Chandel; Vijay Shankar
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Technical Paper

Evaluating the impact of different decomposition methods on the accuracy of reference evapotranspiration forecasts in humid regions
Zihuang Yan; Xianghui Lu; Lifeng Wu
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Simulating the discharge of Nahavand karstic springs based on neural intelligent models
Rojin Fasihi; Abdollah Taheri Tizro; Safar Marofi
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Identification of the hydrological model of a runoff-sourced falaj using empirical methods
Abdullah Al-Ghafri; Ali Mohtashami; Majid Labbaf Khaneiki; Hiba Al-Breiki; Ali Hamood Al-Mahrooqi
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Advances in machine learning for agricultural water management: a review of techniques and applications
Fatemehsadat Mortazavizadeh; David Bolonio; Majid Mirzaei; Jing Lin Ng; Seyed Vahid Mortazavizadeh ...
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A hybrid data assimilation and machine learning approach for enhancing operational forecasting in 2D hydrodynamic models
Clemens Johannes Matthias Cremer; Jesper Sandvig Mariegaard; Henrik Johan Andersson
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A continental-scale predictive simulation tool for accidental spills in major South American water courses
Ana Flavia Brancalion-Costa; Fernando Mainardi Fan
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Multilayer perceptron integrated with Kolmogorov–Arnold networks for predicting the water level in the Gezhouba Sanjiang downstream approach channel
Zhan Liu; Yaan Hu; Zhonghua Li
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GKASA–DDPM: a novel flood forecasting model based on Graph Kolmogorov–Arnold Attention and spatio-temporal attention under smoothing DDPM
Chang Chen; Dawei Zhang; Xin Qi; Zhongxiang Wang; Liyun Xiang
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Prediction of the bedload transport rate in vegetated rivers based on turbulent kinetic energy
Jiao Zhang; Yu Lu; Wen Wang; Zhanbin Li; Peng Li ...
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Supplementary data
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Erratum

Erratum: Journal of Hydroinformatics 1 December 2024; 26 (12): 3172–3191. A hybrid dynamic graph neural network framework for real-time anomaly detection, Georgios Moraitis, Christos Makropoulos, https://doi.org/10.2166/hydro.2024.164
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