An Open source GIS-based tool for economic loss estimation due to flood events

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1 Institute for the Dynamics of Environmental Processes, CNR, Milano, Italia
2 Faculty of Science and Technology, University of Milan, Milano, Italia
3 Catastrophe Modelling Group, Assicurazioni Generali, Trieste, Italia
DOI
10.7287/peerj.preprints.2228v2
Published
Accepted
Subject Areas
Spatial and Geographic Information Systems, Programming Languages
Keywords
economic loss, QGIS plug-in, flood damage
Copyright
© 2017 Sterlacchini 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
Sterlacchini S, Zazzeri M, Cappellini G, Pastormerlo M, Bonazzi A. 2017. An Open source GIS-based tool for economic loss estimation due to flood events. PeerJ Preprints 5:e2228v2

Abstract

Two complementary GIS-based functions are designed and implemented to assess the expected degree of loss due to the occurrence of flood events. Each function processes institutional thematic layers and allows decision makers first to quantify the physical and the economic exposure of the elements at risk in a given study region and then to assess the expected degree of economic loss in relation to the flood water depth chosen for the analysis. The functions are implemented using QGIS with GRASS Python API extension and the workflow is exposed as a QGIS plug-in. The GUI is built over QT multi-platform framework and, therefore, the results are consistently integrated into the QGIS system.

Author Comment

As requested from the OGRS steering board, I corrected some formatting problems (i.e. page margins and row numbers) using a new template