课程内容及教学日历 (如授课语言以英文为主,则课程内容介绍可以用英文;如团队教学或模块教学,教学日历须注明
主讲人)
Course Contents (in Parts/Chapters/Sections/Weeks. Please notify name of instructor for course section(s), if
this is a team teaching or module course.)
Introduction (2 hours) 课程介绍和基本水文模型的背景知识介绍
Part I: Process-based and physics-Based Modelling 过程模型和物理模型模拟
• Review of modelling theories (2 hours) 模拟基本理论介绍
• Modelling purpose, model conceptualization and parameterization (4 hours) 模拟目的、模型概化
和参数化
• The HBV lumped conceptual rainfall-runoff model (6 hours including 2 hours computer
operation) HBV 集总式水文模型
• Model calibration and optimization (4 hours including 2 hours computer operation) 模型校正和参
数优化
• Parameter sensitivity and uncertainty analysis (2 hours) 参数敏感性和不确定分析
• Parameter regionalization for prediction in ungauged basin (4 hours) 无测站流域参数区域化
• Introduction to the Mesoscale Hydrological Model (mHM) (2 hours) 中尺度水文模型 mHM 介绍
• Analysis and interpretation of model results, visualization (2 hours) 模拟结果分析、解译和可视化
Part II: Machine Learning based modelling 基于机器学习的水文模拟
• Introduction to artificial neural networks (2 hours) 人工神经网络介绍
• Supervised ML - decision tree (2 hours) 监督机器学习-决策树
• Long short-term memory rainfall-runoff model (4 hours including 2 hours computer operation) 长
短记忆降雨-径流模型
Part III: Advanced hydrological modelling 高级水文模拟
• Multi-objective and multi-variate parameter estimation (4 hours) 多目标和多变量参数估计
• Probabilistic multi-model ensemble (2 hours) 概率性多模型集合
• Large sample hydrological modelling (2 hours) 大样本流域水文模拟
The remaining 4 class hours are used for mid-term discussion and final presentation. The total number
of class hours is 48.
剩余 4 个学时用于中期讨论和期末讲演,总课时为 48 学时。