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Yanlai Zhou
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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
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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
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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
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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
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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
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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
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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
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