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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
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Includes: Supplementary data
Journal Articles

Assessment of ecological flow alterations induced by hydraulic engineering projects in the Han River, China

Lele Deng, Shenglian Guo, Jing Tian, Heyu Wang
Hydrology Research (2024) 55 (1): 33–50.
DOI: https://doi.org/10.2166/nh.2023.220
Date Online: 22 December 2023
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Includes: Supplementary data
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

Comparison of spatial interpolation methods for the estimation of precipitation patterns at different time scales to improve the accuracy of discharge simulations

Dedi Liu, Qin Zhao, Dezhi Fu, Shenglian Guo, Pan Liu ...
Hydrology Research (2020) 51 (4): 583–601.
DOI: https://doi.org/10.2166/nh.2020.146
Date Online: 29 June 2020
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Journal Articles

An improved routing algorithm for a large-scale distributed hydrological model with consideration of underlying surface impact

Jingjing Li, Haoyuan Zhao, Jun Zhang, Hua Chen, Chong-Yu Xu ...
Hydrology Research (2020) 51 (5): 834–853.
DOI: https://doi.org/10.2166/nh.2020.170
Date Online: 23 June 2020
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Journal Articles

Quantification of the forecast uncertainty using conditional probability and updating models

Huanhuan Ba, Shenglian Guo, Yixuan Zhong, Shaokun He, Xushu Wu
Hydrology Research (2019) 50 (6): 1751–1771.
DOI: https://doi.org/10.2166/nh.2019.094
Date Online: 27 September 2019
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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

Variability of spatial patterns of autocorrelation and heterogeneity embedded in precipitation

Dedi Liu, Qin Zhao, Shenglian Guo, Pan Liu, Lihua Xiong ...
Hydrology Research (2019) 50 (1): 215–230.
DOI: https://doi.org/10.2166/nh.2018.054
Date Online: 26 September 2018
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Journal Articles

A simplified approach for flood modeling in urban environments

Xushu Wu, Zhaoli Wang, Shenglian Guo, Chengguang Lai, Xiaohong Chen
Hydrology Research (2018) 49 (6): 1804–1816.
DOI: https://doi.org/10.2166/nh.2018.149
Date Online: 21 June 2018
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Journal Articles

Tracking the error sources of spatiotemporal differences in TRMM accuracy using error decomposition method

Jialing Wang, Hua Chen, Chong-Yu Xu, Qiang Zeng, Qingjing Wang ...
Hydrology Research (2018) 49 (6): 1960–1976.
DOI: https://doi.org/10.2166/nh.2018.191
Date Online: 23 April 2018
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Journal Articles

Uncertainty analysis of hydrological multi-model ensembles based on CBP-BMA method

Shaokun He, Shenglian Guo, Zhangjun Liu, Jiabo Yin, Kebing Chen ...
Hydrology Research (2018) 49 (5): 1636–1651.
DOI: https://doi.org/10.2166/nh.2018.160
Date Online: 01 March 2018
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Journal Articles

Evaluation of the BMA probabilistic inflow forecasts using TIGGE numeric precipitation predictions based on artificial neural network

Yixuan Zhong, Shenglian Guo, Huanhuan Ba, Feng Xiong, Fi-John Chang ...
Hydrology Research (2018) 49 (5): 1417–1433.
DOI: https://doi.org/10.2166/nh.2018.177
Date Online: 21 February 2018
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Journal Articles

Improving ANN model performance in runoff forecasting by adding soil moisture input and using data preprocessing techniques

Huanhuan Ba, Shenglian Guo, Yun Wang, Xingjun Hong, Yixuan Zhong ...
Hydrology Research (2018) 49 (3): 744–760.
DOI: https://doi.org/10.2166/nh.2017.048
Date Online: 22 August 2017
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Journal Articles

Bivariate design flood quantile selection using copulas

Tianyuan Li, Shenglian Guo, Zhangjun Liu, Lihua Xiong, Jiabo Yin
Hydrology Research (2017) 48 (4): 997–1013.
DOI: https://doi.org/10.2166/nh.2016.049
Date Online: 23 August 2016
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Journal Articles

A modified Green–Ampt model for water infiltration and preferential flow

Dedi Liu, Yao Xu, Shenglian Guo, Pan Liu, David E. Rheinheimer
Hydrology Research (2016) 47 (6): 1172–1181.
DOI: https://doi.org/10.2166/nh.2016.160
Date Online: 11 February 2016
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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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Journal Articles

A modified Xinanjiang model and its application in northern China

Caihong Hu, Shenglian Guo, Lihua Xiong, Dingzhi Peng
Hydrology Research (2005) 36 (2): 175–192.
DOI: https://doi.org/10.2166/nh.2005.0013
Date Online: 01 April 2005
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