Abstract
Topics such as the sustainability and vulnerability of land management practices on water quality and quantity are very important in these days both for decision makers and for citizens. The enviroGRIDS FP7 project addresses some of these topics in the Black Sea Catchment area. One of the software tools developed in this project is gSWAT. It allows the calibration of SWAT hydrological models in a flexible development environment and uses distributed computational infrastructures to speedup the simulations. The development of SWAT (Soil Water Assessment Tool) hydrological models is a well-known procedure for the hydrological specialists and this paper highlights, from the end-users point of view, the scenarios related with the calibration procedures available in the gSWAT application.
Highlights
A lot of effort is put into topics such as sustainability and vulnerability of land management practices on water quality and quantity
For this reason the gSWAT application is developed as a Web application to allow users to access and use the computational resources provided by the Grid infrastructure in the process of hydrologic model calibration
The layers are similar to the ones in Cloud computing, the infrastructure level can be mapped to the Infrastructure as a Service (Iaas), the Platform services can be mapped to the Platform as a Service (PaaS) and the software applications can be mapped to the Software as a Service (SaaS)
Summary
A lot of effort is put into topics such as sustainability and vulnerability of land management practices on water quality and quantity Both decision makers and citizens are interested in these aspects. A distributed infrastructure offers high power computation and storage resources, but the access to them is difficult for many users mainly because the interaction with this kind of infrastructure is not made in a graphical manner. For this reason the gSWAT application is developed as a Web application to allow users to access and use the computational resources provided by the Grid infrastructure in the process of hydrologic model calibration.
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