Abstract

Abstract. The calibration and execution of large hydrological models, such as SWAT (soil and water assessment tool), developed for large areas, high resolution, and huge input data, need not only quite a long execution time but also high computation resources. SWAT hydrological model supports studies and predictions of the impact of land management practices on water, sediment, and agricultural chemical yields in complex watersheds. The paper presents the gSWAT application as a web practical solution for environmental specialists to calibrate extensive hydrological models and to run scenarios, by hiding the complex control of processes and heterogeneous resources across the grid based high computation infrastructure. The paper highlights the basic functionalities of the gSWAT platform, and the features of the graphical user interface. The presentation is concerned with the development of working sessions, interactive control of calibration, direct and basic editing of parameters, process monitoring, and graphical and interactive visualization of the results. The experiments performed on different SWAT models and the obtained results argue the benefits brought by the grid parallel and distributed environment as a solution for the processing platform. All the instances of SWAT models used in the reported experiments have been developed through the enviroGRIDS project, targeting the Black Sea catchment area.

Highlights

  • The studies and the predictions of environmental phenomena are based on complex hydrological models by processing huge spatial data sets in order to obtain high resolution results

  • This paper presents the gSWAT application as a web practical solution for environmental specialists to calibrate extensive hydrological models and to run scenarios, by hiding the complex control of processes and heterogeneous resources across the grid based high computation infrastructure

  • The gSWAT platform and application improve the features and the performance by significantly reducing the total calibration time through high storage and computing capabilities due to the grid infrastructure, multicalibration processing, exposure as web application, and interactive results management

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Summary

Introduction

The studies and the predictions of environmental phenomena are based on complex hydrological models by processing huge spatial data sets in order to obtain high resolution results. This paper presents the gSWAT application as a web practical solution for environmental specialists to calibrate extensive hydrological models and to run scenarios, by hiding the complex control of processes and heterogeneous resources across the grid based high computation infrastructure. Calibration and execution results of the SWAT model could be analysed and visualized over interactive maps, using different image processing algorithms in order to correctly classify the land management practices on water, sediment or agricultural chemical yields. All of these features will be described . The last section sketches the conclusions and the future research directions regarding the hydrological model processing

Related works
Hydrological models
Parallel and distributed execution of SWAT hydrological models
High power computation infrastructure
Multicore architecture
Cloud infrastructure
Computer cluster
Grid infrastructure
Grid based solution for SWAT calibration
Search and filter mechanism
Input data specification
Starting SWAT calibration process
Output results analysis
Grid based experiments
Medium SWAT model processing
Large SWAT model processing
User scalability
Findings
10 Conclusions
Full Text
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