SWAT-MODFLOW Surface Water and Groundwater Coupling Technology

Coupled models are applied to many scientific and engineering fields to improve the performance, efficiency and results of the model. As a surface water model, SWAT can better simulate the main hydrological processes, including surface runoff, precipitation, evaporation, wind speed, temperature, seepage, Lateral runoff, etc., but the simulation of the groundwater part is relatively rough. Considering the limitations of the SWAT model, on the framework of the SWAT model and the MODFLOW model, a SWAT-MODFLOW coupling model is established to consider the surface-subsurface process more comprehensively, and more Accurately describe the groundwater flow process. Scholars at home and abroad have used the SWAT-MODFLOW model or its improved form to conduct research on many sites

Ms. Liu: A senior expert from a key university in Beijing. He has long been engaged in simulation work in the fields of water cycle, carbon cycle and nitrogen cycle in water and soil processes in watersheds. He has senior technical background and professional background.

first lecture

Analysis of model principles

1.1 SWAT model
1.2 MODFLOW model
1.3 SWAT-MODFLOW model

1.4 QSWATMOD model

second lecture

QGIS advanced operation

2.1 QGIS platform

2.2 QGIS installation

2.3 Data browsing and viewing

2.4 Coordinate system and projection transformation

2.5 QGIS advanced operation

third lecture

QSWATMOD operation

3.1 QSWAT operation process

3.2 Pretreatment process

3.3 Simulation process

3.4 Post-processing process

fourth lecture

data preparation

4.1 Preparation of terrain data

4.2 Preparation of land use

4.3 Preparation of soil data

4.4 Preparation of Meteorological Data

4.5 Preparation of underground data

4.6 Other data preparation

fifth lecture

Calibration verification based on CUP

5.1 Calibration verification principle

5.2 Realization of parameter calibration

5.3 Judgment of calibration verification

5.4 Parameter sensitivity analysis

Lecture Six

Result analysis

6.1 Result reading

6.2 Time series analysis of results

6.3 Spatial display of results

6.4 Result map making

Seventh lecture

Simulation of the effect of control measures

7.1 Introduction to Best Management Practices

7.2 Setting of control measures

7.3 Simulation of the effect of control measures

eighth lecture

Land Change Scenario Simulation

8.1 Introduction to Change Scenarios

8.2 Transition matrix analysis of land use change

8.3 Land use prediction based on FLUS

8.4 QSWATMOD Land Use Change Scenario Analysis

Lecture 9

气候变化情景模拟

9.1 气候变化情景介绍

9.2 CMIP6数据介绍

9.3 CMIP6数据下载

9.4 CMIP6数据处理

9.5 QSWATMOD气候变化情景分析

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Origin blog.csdn.net/weixin_55561616/article/details/132088169