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  1. No Access

    Article

    The asymmetric effect of different types of ENSO and ENSO Modoki on rainy season over the Yellow River basin, China

    Precipitation is considered one of the most important forcing data in scientific investigations involving agriculture, water management, and climate variability. Knowledge of precipitation variation during rai...

    Mengjie Zhang, Qing Cao, Feilin Zhu, Upmanu Lall… in Theoretical and Applied Climatology (2022)

  2. No Access

    Article

    Review of drought impacts on carbon cycling in grassland ecosystems

    Grasslands play a key role in both carbon and water cycles. In semi-arid and arid grassland areas, the frequency and intensity of droughts are increasing. However, the influence of a drought on grassland carbo...

    Tianjie Lei, Jie Feng, Cuiying Zheng, Shuguang Li, Yang Wang… in Frontiers of Earth Science (2020)

  3. No Access

    Article

    Heterogeneous parallel computing accelerated generalized likelihood uncertainty estimation (GLUE) method for fast hydrological model uncertainty analysis purpose

    The generalized likelihood uncertainty estimation (GLUE) is a famous and widely used sensitivity and uncertainty analysis method. It provides a new way to solve the “equifinality” problem encountered in the hy...

    Guangyuan Kan, **aoyan He, Liuqian Ding, Jiren Li, Yang Hong… in Engineering with Computers (2020)

  4. No Access

    Article

    Computer Aided Numerical Methods for Hydrological Model Calibration: An Overview and Recent Development

    In this paper, the computer aided numerical method for hydrological model calibration is reviewed. The content includes review of the watershed hydrological models (data-driven model, conceptual model, and dis...

    Guangyuan Kan, **aoyan He, Jiren Li… in Archives of Computational Methods in Engin… (2019)

  5. No Access

    Article

    Trends in extreme temperature indices in Huang-Huai-Hai River Basin of China during 1961–2014

    Spatial and temporal characteristics of temperature extremes have been investigated in Huang-Huai-Hai (HHH) region based on the daily series of temperature observations from 162 meteorological stations. A tota...

    Gang Wang, Denghua Yan, **aoyan He, Shaohua Liu… in Theoretical and Applied Climatology (2018)

  6. No Access

    Article

    A novel hybrid data-driven model for multi-input single-output system simulation

    Artificial neural network (ANN)-based data-driven model is an effective and robust tool for multi-input single-output (MISO) system simulation task. However, there are several conundrums which deteriorate the ...

    Guangyuan Kan, **aoyan He, Jiren Li, Liuqian Ding… in Neural Computing and Applications (2018)

  7. No Access

    Article

    An Improved “Dynamic Control Operation Module” for Cascade Reservoirs

    Reservoirs are one of the most efficient projects for water resources management, and also play an important role in flood control and conservation. Dynamic control of the reservoir flood limited water level (...

    Zhongbo Zhang, **aoyan He, Simin Geng, Shuanghu Zhang… in Water Resources Management (2018)

  8. No Access

    Article

    Spatiotemporal patterns of drought at various time scales in Shandong Province of Eastern China

    The temporal variations and spatial patterns of drought in Shandong Province of Eastern China were investigated by calculating the standardized precipitation evapotranspiration index (SPEI) at 1-, 3-, 6-, 12-,...

    Depeng Zuo, Siyang Cai, Zongxue Xu, Fulin Li… in Theoretical and Applied Climatology (2018)

  9. No Access

    Article

    A new hybrid data-driven model for event-based rainfall–runoff simulation

    A new hybrid data-driven model named PBK has been proposed to improve the event-based rainfall–runoff simulation. The PBK is developed by coupling partial mutual information-based input variable selection (IV...

    Guangyuan Kan, Jiren Li, **ngnan Zhang, Liuqian Ding… in Neural Computing and Applications (2017)

  10. No Access

    Article

    Improving event-based rainfall-runoff simulation using an ensemble artificial neural network based hybrid data-driven model

    An ensemble artificial neural network (ENN) based hybrid function approximator (named PEK), integrating the partial mutual information (PMI) based separate input variable selection (IVS) scheme, ENN-based outp...

    Guangyuan Kan, Cheng Yao, Qiaoling Li… in Stochastic Environmental Research and Risk… (2015)