|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/swat-cup-calibration-validation-and-write-values-to-arcswat/
课程评论：没有评论
**课程名称：** SWAT CUP 校准、验证及参数写入 ArcSWAT **课程概述：** 本课程旨在教授学员如何通过校准和验证 SWAT 模型来模拟河流流量，使其尽可能接近观测流量。课程将重点讲解如何获取适合流域的参数。 **核心内容：** * **校准与验证方法：** 介绍两种主要的校准和验证方法： * **全序列校准：** 使用全部观测数据进行校准。 * **数据分割校准：** 将观测数据分为校准集和验证集，分别进行校准和验证。 * 两种方法将在理论和实践上进行详细阐述，但课程将首先介绍更被广泛研究的全序列数据概念，然后讲解数据分割的概念，最终由学员自行选择。 * **SWAT CUP 的应用：** 演示如何使用 SWAT CUP 进行整个数据序列的校准和验证，以获得最优的拟合参数。 * **参数写入 ArcSWAT：** 教授如何将校准后的参数写入 SWAT 模型，并进行模型运行。 * **数学统计指标：** 简要介绍校准和验证过程中常用的统计指标，如 R² (决定系数)、NSE (纳什效率系数)、PBIAS (百分比偏差) 和 RSR (残差平方和比率)。课程建议学员下载相关研究论文，以深入理解这些统计方程的复杂性。 **课程目标：** * 掌握 SWAT 模型校准和验证的科学概念和实践操作。 * 熟练使用 SWAT CUP 进行模型参数的优化。 * 能够将优化后的参数应用于 ArcSWAT 模型并运行。 * 理解常用的水文模拟评价指标的意义。 **适合人群：** 对水文模拟、SWAT 模型应用、参数校准与验证感兴趣的研究人员、学生或工程师。
The simulated streamflow needs to calibrate to match the observed flow. That can be possible by getting fitted catchment parameters. Two approaches are available for calibration and validation. One is to use the whole observed at as calibration and second is to split data for validation. Both use almost the same methodology. The objective is to obtain fitted parameters. SWAT CUP does the calibration validation of the whole series. So both scientific concepts are explained theoretically and practically. But the whole data series concept is used by most of the researchers so its explained first, then data split validation concept is explained. So, this is to you which concept you want to use. Writing parameters to the SWAT model is also covered and the calibrated model was run in the course. Mathematics behind the task is a little complex so I suggest downloading a few research papers similar to your study to explain that equations. Such as R Square, NSE, PBIAS, RSR. These all statistics calculated in SWAT Cup. This is the complete Scientific Course.
