Observation analysis tool for the FREEWAT GIS environment for water resources management
- Published
- Accepted
- Subject Areas
- Data Science, Databases, Optimization Theory and Computation, Scientific Computing and Simulation
- Keywords
- FREEWAT, MODFLOW, QGIS, Python, istSOS, time-series
- Copyright
- © 2016 Cannata et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. Observation analysis tool for the FREEWAT GIS environment for water resources management. PeerJ Preprints 4:e2127v2 https://doi.org/10.7287/peerj.preprints.2127v2
Abstract
Time-series are an important aspect of environmental modelling, and are becoming more available through the requirements of the water framework directive as well as more important with the advancement of numerical simulation techniques and increased model complexity. For this reason, within the H2020 FREEWAT project, which aims at facilitating the adoption of modeling for water resource management, the integration of a tool for time-series analysis and processing has been foreseen. As a result the Observation Analysis Tool was developed to enable time-series visualisation, pre-processing of data for model development, and post-processing of model results. Observation Analysis Tool can act as a pre-processor for calibration observations, and will be expanded to incorporate its processing capabilities directly into the calibration process. The tool consists in an expandable Python library and in an interface integrated in the QGIS FREEWAT plug-in which include a large number of modelling capabilities, hydro-chemical data management tools and calibration capacity. The tool has been extensively used and tested in different european institutions, to collect a number of indications to drive the future development.
Author Comment
This version 2 is reviewed based on received comments.
This is an article intended for the OGRS2016 Collection.