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

机译:水文模型标定的计算机辅助数值方法:概述与最新进展

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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 distributed model), review of the model calibration methods (manual calibration, single-objective automatic calibration, multi-objective automatic calibration, objective function, termination criterion, and data utilized for calibration), and review of the parallel computing accelerated model calibration (multi-node computer cluster, multi-core CPU, many-core GPU, and heterogeneous parallel computing). Recent development and the state-of-the-art are also analyzed. Three conclusions can be drawn: (1) Nowadays, different types of hydrological models have their own application fields and perform very well. Distributed hydrological model becomes the development direction and has a good future. (2) Computer aided automatic hydrological model calibration method has become the mainstream. Single-objective optimization method such as SCE-UA and multi-objective optimization method such as NSGA-II are very suitable to the model parameter calibration. (3) Heterogeneous parallel computing technology is the most powerful acceleration method for the hydrological model parameter calibration. However, researches about the acceleration of SCE-UA and NSGA-II based on heterogeneous parallel computing technique is rare and should be focused in the future.
机译:本文综述了水文模型标定的计算机辅助数值方法。内容包括流域水文模型的审查(数据驱动模型,概念模型和分布式模型),模型校准方法的审查(手动校准,单目标自动校准,多目标自动校准,目标函数,终止准则) ,以及用于校准的数据),并审查了并行计算加速模型的校准(多节点计算机集群,多核CPU,多核GPU和异构并行计算)。还分析了最新进展和最新技术。可以得出三个结论:(1)如今,不同类型的水文模型具有各自的应用领域并且表现良好。分布式水文模型已成为发展方向,并具有良好的发展前景。 (2)计算机辅助水文模型自动标定已成为主流。单目标优化方法(如SCE-UA)和多目标优化方法(如NSGA-II)非常适合模型参数校准。 (3)异构并行计算技术是水文模型参数标定中最强大的加速方法。然而,基于异构并行计算技术对SCE-UA和NSGA-II的加速研究很少,应在未来进行研究。

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    China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Dept Water Resources, Beijing 100038, Peoples R China;

    Univ Oklahoma, Dept Civil Engn & Environm Sci, Norman, OK 73019 USA;

    China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Res Ctr Flood & Drought Disaster Reduct, Minist Water Resources, Beijing 100038, Peoples R China;

    Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China;

    Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing, Peoples R China;

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