CREGIS-Q: a GIS tool to support decision making in case of aquifer contamination emergency

IRSA - Water Research Institute, CNR - National Research Council, Monterotondo (Rome), Italy
Civil Protection Department, Rome, Italy
DOI
10.7287/peerj.preprints.2235v2
Subject Areas
Spatial and Geographic Information Systems, Programming Languages
Keywords
Decision support system, GIS and Python, aquifer accidental contamination
Copyright
© 2016 Petrangeli 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
Petrangeli AB, Preziosi E, Campopiano F, Corazza A, Duro A. 2016. CREGIS-Q: a GIS tool to support decision making in case of aquifer contamination emergency. PeerJ Preprints 4:e2235v2

Abstract

GIS technology has been used for many years in environmental risk analysis due to its capability to focus on the management and analysis of geographic and alphanumeric data to support spatial decision-making (Vairavamoorthy et al, 2007). Especially in emergency management, a DSS (Decision Support System) constitutes an important task to provide quick responses, though not completely exhaustive, to immediately handle a critical scenario and limit the possible damage. In the framework of a collaboration between the Water Research Institute and the National Civil Protection Department, a customized tool called CREGIS (ContaminazioneRisorseEvento-GIS) has been developed in order to facilitate the emergency management of accidental contamination of aquifers and support decision making (Preziosi et al, 2013). The tool is aimed at both national and local authorities in order to improve response capability for a better emergency management. Originally, the tool has been developed programming Python in an ArcGIS environment; but due to the great development and dissemination of open source software, our aim is to replicate the same structure programming Python in a GIS open source environment (QGIS). The review of the tool's code is still in progress. The goal is to make the tool (now named CREGIS-Q) free and accessible to a greater number of people and stakeholders.

Author Comment

I formatted the paper properly and increased the resolution on my illustration.