Workshop title: SWAT-MODFLOW Workshop

Date: July 27-29, 2022

Instructor: Seonggyu Park, Texas A&M AgriLife Research

Overview: This workshop aims to teach the fundamental principle and structure of a widely used integrated model, SWAT-MODFLOW, with hands-on exercises for use in assessing spatio-temporal patterns of water resources and fluxes. It will also cover general procedures of model development, implementation, evaluation, and optimization.

Course Objectives: Upon successful completion of this workshop, students will be able to (1) understand the fundamental principles of each model (SWAT, MODFLOW, and SWAT-MODFLOW); (2) develop a SWAT-MODFLOW model; (3) perform a simulation with various scenarios; (4) evaluate and visualize simulation results; and (5) perform model optimization. Students will learn to work with a graphical user interface for SWAT-MODFLOW (QSWATMOD )and an automatic optimization framework with Jupyter notebooks.

Course Preparation: Please bring a laptop running Windows OS (higher than Windows 7, preferably) to use for the workshop exercises. You will be contacted by the instructor with files to download prior to the course.

• Pre-requisites (nice to have; not required):
  • Basic understanding of Python
  • Basic understanding of Jupyter Notebook
  • Basic understanding of SWAT

• Instructions for Students:

  1. The mathematics and theory
  2. Learning by doing
  3. Please speak up! Everyone learns from discussion
  4. Work in pairs
  5. Python, GUIs, and all that

• Session content and schedule:

  1. Day 1 - First Session -- SWAT-MODFLOW-RT3D

     • Introduction to SWAT-MODFLOW-RT3D (3 hours)
       • SWAT (skipped if not necessary)
       • MODFLOW & RT3D
       • SWAT-MODFLOW-RT3D Linking Process
     • Setting up Simulation (4 hours)
       • Set Up, Run, View
     • QGIS & QSWATMOD Installations (30 mins)
     • Q&A Session (30 mins)

  2. Day 2  -  Second Session -- QSWATMOD

     • Exercise with QSWATMOD (5 hours)
       • Description of QSWATMOD
       • Create a MODFLOW model
       • Create an RT3D model
       • Prepare an existing SWAT model
       • Link 3 different models
       • Set up the configuration of the model simulation and run the model
       • Visualize and analyze hydrology outputs
       • Visualize and analyze water quality outputs
     • SWAT-MODFLOW scenarios and additional QSWATMOD functions (2 hours)
       • Irrigation pumping
       • SWAT-MODFLOW model evaluation
     • Q&A Session (30 mins)

  3. Day 3  - Third Session -- Optimization Framework

     • Work with SWAT-MODFLOW on your study area (2 hours)
       • Apply the SWAT-MODFLOW model to your study area
         • Bring your existing SWAT model and start from there.
     • Exercise with SWAT-MODFLOW Optimization Framework (5 hours)
       • Anaconda & swatmf python package Installations
       • Description of Framework
       • Introduction to Jupyter notebook and Python language (skipped if not necessary) (1 hour)
       • Introduction to Parameter ESTimation Utility (PEST)
       • Create PEST inputs with a pre-processing framework (create template files)
       • Extract simulation outputs with a post-processing framework (create instruction files)
       • Run PEST & parallel processing
       • Analyze results
     • Q&A Session (30 mins)