Observation analysis tool for the FREEWAT GIS environment for water resources management
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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.
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2016. Observation analysis tool for the FREEWAT GIS environment for water resources management. PeerJ Preprints 4:e2127v2 https://doi.org/10.7287/peerj.preprints.2127v2Author comment
This version 2 is reviewed based on received comments.
This is an article intended for the OGRS2016 Collection.
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Competing Interests
The authors declare that they have no competing interests.
Author Contributions
Massimiliano Cannata conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, performed the computation work, reviewed drafts of the paper.
Jakob Neumann performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.
Mirko Cardoso performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, performed the computation work.
Rudy Rossetto conceived and designed the experiments, analyzed the data, design of the project, overall integration and review of implementation.
Laura Foglia conceived and designed the experiments, analyzed the data, idea development and review of implementation.
Data Deposition
The following information was supplied regarding data availability:
The research in this article did not generate, collect or analyse any raw data or code.
Funding
This work has been done within the project FREEWAT, which has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement n. 642224. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
