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Volume 26, Issue 7
1 July 2024
Issue Cover
ISSN 1464-7141
EISSN 1465-1734
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Technical Paper

Data augmentation using conditional generative adversarial network (cGAN): applications for sewer condition classification and testing using different machine learning techniques
Haile Woldesellasse; Solomon Tesfamariam
View articletitled, Data augmentation using conditional generative adversarial network (cGAN): applications for sewer condition classification and testing using different machine learning techniques
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An explainable machine learning approach to the prediction of pipe failure using minimum night flow
Matthew Hayslep; Edward Keedwell; Raziyeh Farmani; Josh Pocock
View articletitled, An explainable machine learning approach to the prediction of pipe failure using minimum night flow
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Short-duration prediction of urban storm-water levels using the residual-error ensemble correction technique
Wen-Dar Guo; Wei-Bo Chen
View articletitled, Short-duration prediction of urban storm-water levels using the residual-error ensemble correction technique
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Developing improved machine learning methods to predict the flow characteristics through vertical and horizontal transitions in open channels
Manal Gad; Hany Abd-Elhamid; Martina Zeleňáková; Hanaa Salem Marie; Wael O. Nassar
View articletitled, Developing improved machine learning methods to predict the flow characteristics through vertical and horizontal transitions in open channels
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A new approach for explicit approximation of the Colebrook–White formula for pipe flows
Giovanni B. Ferreri
View articletitled, A new approach for explicit approximation of the Colebrook–White formula for pipe flows
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Special Issue Paper

Benchmarking the performance and uncertainty of machine learning models in estimating scour depth at sluice outlets
Xuan-Hien Le; Le Thi Thu Hien; Hung Viet Ho; Giha Lee
View articletitled, Benchmarking the performance and uncertainty of machine learning models in estimating scour depth at sluice outlets
Supplementary data
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Technical Paper

Short-term water demand prediction based on decomposition technique optimization and a multihead attention mechanism
Haidong Huang; Meiqiong Wu
View articletitled, Short-term water demand prediction based on decomposition technique optimization and a multihead attention mechanism
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A 2D numerical model for simulating landslide dam failure and induced morphological changes considering multi-layer and non-uniform sediments
Jiangtao Yang; Sandra Soares-Frazao; Zhenming Shi; Danyi Shen
View articletitled, A 2D numerical model for simulating landslide dam failure and induced morphological changes considering multi-layer and non-uniform sediments
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Impacts of emergent rigid vegetation patches on flow characteristics of open channels
Hunan Qiu; Peng Li; Wen Wang; Peng Shi; Jiao Zhang ...
View articletitled, Impacts of emergent rigid vegetation patches on flow characteristics of open channels
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Internal structure modification of a simple monthly water balance model via incorporation of a machine learning-based nonlinear routing
Umut Okkan; Zeynep Beril Ersoy; Okan Fistikoglu
View articletitled, Internal structure modification of a simple monthly water balance model via incorporation of a machine learning-based nonlinear routing
Supplementary data
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Forecasting daily rainfall in a humid subtropical area: an innovative machine learning approach
Miran Hikmat Mohammed; Sarmad Dashti Latif
View articletitled, Forecasting daily rainfall in a humid subtropical area: an innovative machine learning approach
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Research on low-energy consumption automatic real-time regulation of cascade gates and pumps in open-canal based on reinforcement learning
Tian Gan; Yunzhong Jiang; Hongli Zhao; Junyan He; Hao Duan
View articletitled, Research on low-energy consumption automatic real-time regulation of cascade gates and pumps in open-canal based on reinforcement learning
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Impact of the model structure and calibration strategy on baseflow modeling in the German low mountain range
Michael Kissel; Michael Bach; Britta Schmalz
View articletitled, Impact of the model structure and calibration strategy on baseflow modeling in the German low mountain range
Supplementary data
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Regional and seasonal assessment of biases on high-resolution satellite precipitation estimations in peninsular Malaysia: 2011–2020
Voon Hao Chai; Ren Jie Chin; Lloyd Ling; Yuk Feng Huang; Eugene Zhen Xiang Soo
View articletitled, Regional and seasonal assessment of biases on high-resolution satellite precipitation estimations in peninsular Malaysia: 2011–2020
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Special Issue Paper

Quantitative assessment of irrigation water and organic/inorganic amendment on biometric growth profiles of Abelmoschus esculentus and Solanum lycopersicum and their varieties
Monika Mahajan; Rajeev Pratap Singh; Pankaj Kumar Gupta; Shreeshivadasan Chelliapan
View articletitled, Quantitative assessment of irrigation water and organic/inorganic amendment on biometric growth profiles of <em>Abelmoschus esculentus</em> and <em>Solanum lycopersicum</em> and their varieties
Supplementary data
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Technical Paper

Sensitivity of creep parameters to pressure fluctuation of transient flow in viscoelastic pipes
Qiang Sun; Xu Wang; Yuebin Wu; Ying Xu; Zhihao Wang
View articletitled, Sensitivity of creep parameters to pressure fluctuation of transient flow in viscoelastic pipes
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A novel application of waveform matching algorithm for improving monthly runoff forecasting using wavelet–ML models
Hiwa Farajpanah; Arash Adib; Morteza Lotfirad; Hassan Esmaeili-Gisavandani; Mohammad Mehdi Riyahi ...
View articletitled, A novel application of waveform matching algorithm for improving monthly runoff forecasting using wavelet–ML models
Supplementary data
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Experiments on flow velocity profiles in mountain river channels
Jia Peng; Dong Chen; Shizhengxiong Liang; Rongcai Tang; Hong Hu ...
View articletitled, Experiments on flow velocity profiles in mountain river channels
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Corrigendum

Corrigendum: Journal of Hydroinformatics 1 November 2023; 25 (6): 2660–2674; Development of a lightweight convolutional neural network-based visual model for sediment concentration prediction by incorporating the IoT concept, Cheng-Chia Huang, Che-Cheng Chang, Chiao-Ming Chang, Ming-Han Tsai. https://doi.org/10.2166/hydro.2023.215
View articletitled, Corrigendum: <em>Journal of Hydroinformatics</em> 1 November 2023; 25 (6): 2660–2674; Development of a lightweight convolutional neural network-based visual model for sediment concentration prediction by incorporating the IoT concept, Cheng-Chia Huang, Che-Cheng Chang, Chiao-Ming Chang, Ming-Han Tsai. https://doi.org/10.2166/hydro.2023.215
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