The course starts with acquisition and preprocessing of data for SWAT using open source GIS and spatial analysis tools. Next, river basin modelling with SWAT and its calibration will be introduced.
During modelling courses not much attention is paid to the preprocessing of input data and parameters needed for the models. A lot of open source software is available for this purpose. Besides desktop tools with graphical user interfaces, scripting is very useful for processing large datasets and timeseries. With the skills learned in the first week of this course you will be able to find open access GIS data and more efficiently process your data for your models using tools like QGIS, GDAL and Python. In the second week you will learn the the Soil Water Assessment Tool (SWAT), which is an integrated watershed model widely applied across the world to study hydrology, sediment, in-stream water quality, impact of land use, climate change and various water management interventions on water quantity and quality. In this course, participants will learn an overview of the SWAT model, with focus on hydrological process simulation. The calibration, validation and uncertainty analysis will be presented. The data needs, possible sources and required formats will be discussed. Several case studies will be presented during the course to enable the participants to learn from the available experience. In a workshop environment, participants will exercise on how to develop a SWAT model for a specific case study.
Upon completion, the participant should be able to:
- Convert tables to GIS data
- Join attribute tables
- Calculate new attributes
- Convert between different GIS formats and projections
- Georeference a scanned map
- Digitize vector layers from scanned maps
- Delineate catchments and streams