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Yanlai Zhou
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Journal Articles

Enhancing multi-step-ahead algal bloom forecasts in river ecosystems by a hybrid recursive deep learning model

Hanbing Xu, Xue Wang, Yanlai Zhou, Tianyu Xia, Fi-John Chang ...
Hydrology Research (2025) 56 (3): 260–278.
DOI: https://doi.org/10.2166/nh.2025.160
Date Online: 26 February 2025
View articletitled, Enhancing multi-step-ahead algal bloom forecasts in river ecosystems by a hybrid recursive deep learning model View PDF for article titled, Enhancing multi-step-ahead algal bloom forecasts in river ecosystems by a hybrid recursive deep learning model
Includes: Supplementary data
Journal Articles

Boosting hydropower generation of mixed reservoirs for reducing carbon emissions by using a simulation–optimization framework

Yanfeng He, Shenglian Guo, Yanlai Zhou, Di Zhu, Hua Chen ...
Hydrology Research (2024) 55 (2): 144–160.
DOI: https://doi.org/10.2166/nh.2023.181
Date Online: 22 January 2024
View articletitled, Boosting hydropower generation of mixed reservoirs for reducing carbon emissions by using a simulation–optimization framework View PDF for article titled, Boosting hydropower generation of mixed reservoirs for reducing carbon emissions by using a simulation–optimization framework
Includes: Supplementary data
Journal Articles

Change analysis of All India and regional rainfall data series at annual and monsoon scales

Sharad K. Jain, Chong-Yu Xu, Yanlai Zhou
Hydrology Research (2023) 54 (4): 606–632.
DOI: https://doi.org/10.2166/nh.2023.005
Date Online: 05 April 2023
View articletitled, Change analysis of All India and regional rainfall data series at annual and monsoon scales View PDF for article titled, Change analysis of All India and regional rainfall data series at annual and monsoon scales
Journal Articles

Editorial: Hydrological extremes in a changing environment: modeling and attribution analysis

Yanlai Zhou, Cosmo Ngongondo, Nils Roar Sælthun
Hydrology Research (2022) 53 (7): iii–v.
DOI: https://doi.org/10.2166/nh.2022.101
Date Online: 12 July 2022
View articletitled, Editorial: Hydrological extremes in a changing environment: modeling and attribution analysis View PDF for article titled, Editorial: Hydrological extremes in a changing environment: modeling and attribution analysis
Journal Articles

Probabilistic interval estimation of design floods under non-stationary conditions by an integrated approach

Yanlai Zhou, Shenglian Guo, Chong-Yu Xu, Lihua Xiong, Hua Chen ...
Hydrology Research (2022) 53 (2): 259–278.
DOI: https://doi.org/10.2166/nh.2021.007
Date Online: 08 December 2021
FIGURES | View All (10)
View articletitled, Probabilistic interval estimation of design floods under non-stationary conditions by an integrated approach View PDF for article titled, Probabilistic interval estimation of design floods under non-stationary conditions by an integrated approach
Journal Articles

A novel hybrid XAJ-LSTM model for multi-step-ahead flood forecasting

Zhen Cui, Yanlai Zhou, Shenglian Guo, Jun Wang, Huanhuan Ba ...
Hydrology Research (2021) 52 (6): 1436–1454.
DOI: https://doi.org/10.2166/nh.2021.016
Date Online: 29 June 2021
FIGURES | View All (8)
View articletitled, A novel hybrid XAJ-LSTM model for multi-step-ahead flood forecasting View PDF for article titled, A novel hybrid XAJ-LSTM model for multi-step-ahead flood forecasting
Includes: Supplementary data
Journal Articles

The exploration of a Temporal Convolutional Network combined with Encoder-Decoder framework for runoff forecasting

Kangling Lin, Sheng Sheng, Yanlai Zhou, Feng Liu, Zhiyu Li ...
Hydrology Research (2020) 51 (5): 1136–1149.
DOI: https://doi.org/10.2166/nh.2020.100
Date Online: 21 September 2020
FIGURES | View All (6)
View articletitled, The exploration of a Temporal Convolutional Network combined with Encoder-Decoder framework for runoff forecasting View PDF for article titled, The exploration of a Temporal Convolutional Network combined with Encoder-Decoder framework for runoff forecasting
Journal Articles

Usage of SIMWE model to model urban overland flood: a case study in Oslo

Hong Li, Hongkai Gao, Yanlai Zhou, Chong-Yu Xu, Rengifo Z. Ortega M. ...
Hydrology Research (2020) 51 (2): 366–380.
DOI: https://doi.org/10.2166/nh.2020.068
Date Online: 20 March 2020
FIGURES | View All (11)
View articletitled, Usage of SIMWE model to model urban overland flood: a case study in Oslo View PDF for article titled, Usage of SIMWE model to model urban overland flood: a case study in Oslo
Journal Articles

A meta-heuristic approach for multivariate design flood quantile estimation incorporating historical information

Jiabo Yin, Shenglian Guo, Xushu Wu, Guang Yang, Feng Xiong ...
Hydrology Research (2019) 50 (2): 526–544.
DOI: https://doi.org/10.2166/nh.2018.060
Date Online: 12 November 2018
FIGURES | View All (8)
View articletitled, A meta-heuristic approach for multivariate design flood quantile estimation incorporating historical information View PDF for article titled, A meta-heuristic approach for multivariate design flood quantile estimation incorporating historical information
Journal Articles

Probabilistic prediction in ungauged basins (PUB) based on regional parameter estimation and Bayesian model averaging

Yanlai Zhou, Shenglian Guo, Chong-Yu Xu, Hua Chen, Jiali Guo ...
Hydrology Research (2016) 47 (6): 1087–1103.
DOI: https://doi.org/10.2166/nh.2016.058
Date Online: 05 January 2016
View articletitled, Probabilistic prediction in ungauged basins (PUB) based on regional parameter estimation and Bayesian model averaging View PDF for article titled, Probabilistic prediction in ungauged basins (PUB) based on regional parameter estimation and Bayesian model averaging