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  1. 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)

  2. No Access

    Article

    Impact of urbanization on hydrological processes under different precipitation scenarios

    According to analysing the trends of land use changes in the upper reaches of Minjiang River in the past 30 years and precipitation in the last 50 years, nine types of simulation scenarios were constructed for...

    Wenbin Zang, Shu Liu, Shifeng Huang, Jiren Li, Yicheng Fu, Yayong Sun… in Natural Hazards (2019)

  3. 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)

  4. 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)

  5. 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)

  6. No Access

    Article

    A new procedure to estimate the rainfall erosivity factor based on Tropical Rainfall Measuring Mission (TRMM) data

    Soil erosion by water is the most important land degradation problem worldwide. In this paper a new procedure was developed to estimate the rainfall-runoff erosivity factor (R) based on Tropical Rainfall Measurin...

    Qiang Zhu, **uWan Chen, Qi**ang Fan, He** **… in Science China Technological Sciences (2011)