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Revision as of 09:40, 26 April 2021
Welcome!
This wiki site was built to provide guidance for people working on hydrological modelling projects in South Africa, with a focus on catchment-scale modelling.
Catchment modelling entails a lot of decision-making, from deciding how many land cover types to include to deciding which modelling software tool to use for a project. The goal of this site is to assist people in making informed decisions about model structure and using modelling software tools to achieve this. It aims to promote the ‘wise-use’ of modelling tools for the benefit of water resources management. The material assumes that users have a background in hydrology and exposure to modelling.
You can find more details about the scope of this wiki here.
This wiki focuses on several modelling tools that are commonly used in South Africa:
- WRSM-Pitman
- SPATSIM-Pitman
- ACRU
- SWAT
- MIKE-SHE
These tools represent a variety of modelling approaches, however there are many tools out there with a wide variety of capabilities. Modelling tools also change as new versions are released and new tools are constantly being developed.
This wiki is a living resource: With your help this wiki site will adapt to the needs and developments in the South African modelling community. There are discussion pages and the user community can suggest updates. A moderator group will review content changes.
The idea for this site came from a group of early-career hydrologists facing many tricky modelling decisions in their research and projects. A salient challenge was selecting a modelling tool to use, and there weren't resources available that compared the structures and capabilities of different modelling tools available which included the South African developed tools (the Pitman tools and ACRU) and was tailored to the South Africa context. In response, the Water Research Commission (WRC) funded the initial development of the material in this wiki through the “Critical catchment model inter-comparison and model use guidance development” project (2019-2021). More information and reports from that project are found here.
