Sistema Web-GIS participativo associado a indicadores de gestão descentralizada de risco de inundações / A participatory web-GIS system associated to decentralized flood risk management indicators

AUTOR(ES)

Ignazio Giuntoli

DATA DE PUBLICAÇÃO

2008

RESUMO

This dissertation presents the development and application of an interactive web-GIS in which internet users map flood risk collaboratively by filling up a geotagged form with questions on flood hazard, exposure and vulnerability. Flood risk was also assessed through the use of a set of environmental risk indicators proposed by Mendiondo (2008). The two methodologies were applied to six urban watersheds of the city of São Carlos (State of São Paulo, Brazil). Interviews including questions asked on the web-GIS were carried out in city streets while the portal was being developed. Thus perceived risk data gathered from the interviews was later transferred online onto the web-GIS. The web-GIS proved to be an easy to use and intuitive tool. According to the results of risk calculation obtained with the indicators expression the watersheds with higher flood risk were the Tijuco Preto and Medeiros, which were also the ones with smallest area and higher population density. The results of perceived risk, which was assessed through the analysis of the interviews data, gave evidence that Gregorio and Santa Maria Madalena where the watersheds at higher risk. These watersheds are the two which experience a higher rate of occurrence on a year basis. The two approaches for assessing risk proved to be consistent and relatively inexpensive for the estimate of flood risk in urban areas, with the potential of representing valid decision support systems. The webGIS is a particularly interesting solution as a medium of information to inhabitants on the level of risk to which they are exposed.

ASSUNTO(S)

gestão descentralizada de risco risk perception web mapping risco de inundação wppgis (web-based public participation gis) risk management web-gis wppgis (web-based public participation gis) risk indicators flood risk

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