In this work the hazard hurricane evaluation is closely related to the possibility of point out an early warning model. The aim is to have a valid instrument to estimate, in case of hurricane hazard, the extent and the location of damaged areas, the economic impact and the population affected immediately after the event and as long-term response. GIS are the most valid instruments that compare spatial data, useful to assess the hazard zonation, with vulnerability parameters. Moreover, hurricanes strike particular underdeveloped countries with low or no spatial data available. Nowadays several digital data are disposable with a global coverage. Although this data have not an high resolution they are updated and overlay uniformly large lacking areas. For these reasons earth surface systems in Central America provided the framework for developing the hurricane related hazard and risk estimation GIS based model. The model describes the morphological response to variations in the balance between the forcing factors (e.g. wind velocity) and one of the related single hazards (e.g. storm surge wave). The model could be extended to generate, for example, vector grids of square polygons storing in each feature (cell) the estimated affected population value to be then visualized and used in Google Earth or in other web mapping systems. Anyway authors highlighted how such modelling tools has an increasing usefulness for scales ranging from regional to semi-regional, while for local applications often treated with local mapping the modelling system is not such highly reliable. As a final remark the GIS hurricane model approach shown in this study could be used for different term simulations and it should be considered as a potential monitoring tool in an integrated management approach to hurricane hazard mitigation and control. It is a practical tool for building possible intervention scenarios both for small and large-scale areas, providing, also, quantitative evaluations of the elements at risk and inter-linkages between the different landforms involved (coastal or in land).
Modelling Hurricane Related Hazards and Risk through GIS for Early Warning Systems
Taramelli A.;
2011-01-01
Abstract
In this work the hazard hurricane evaluation is closely related to the possibility of point out an early warning model. The aim is to have a valid instrument to estimate, in case of hurricane hazard, the extent and the location of damaged areas, the economic impact and the population affected immediately after the event and as long-term response. GIS are the most valid instruments that compare spatial data, useful to assess the hazard zonation, with vulnerability parameters. Moreover, hurricanes strike particular underdeveloped countries with low or no spatial data available. Nowadays several digital data are disposable with a global coverage. Although this data have not an high resolution they are updated and overlay uniformly large lacking areas. For these reasons earth surface systems in Central America provided the framework for developing the hurricane related hazard and risk estimation GIS based model. The model describes the morphological response to variations in the balance between the forcing factors (e.g. wind velocity) and one of the related single hazards (e.g. storm surge wave). The model could be extended to generate, for example, vector grids of square polygons storing in each feature (cell) the estimated affected population value to be then visualized and used in Google Earth or in other web mapping systems. Anyway authors highlighted how such modelling tools has an increasing usefulness for scales ranging from regional to semi-regional, while for local applications often treated with local mapping the modelling system is not such highly reliable. As a final remark the GIS hurricane model approach shown in this study could be used for different term simulations and it should be considered as a potential monitoring tool in an integrated management approach to hurricane hazard mitigation and control. It is a practical tool for building possible intervention scenarios both for small and large-scale areas, providing, also, quantitative evaluations of the elements at risk and inter-linkages between the different landforms involved (coastal or in land).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
