Development of a hybrid methodology for the susceptibility and hazard analysis o...
Development of a hybrid methodology for the susceptibility and hazard analysis of landslides
The activation as well as the consequences of natural geohazards, such as landslides, are difficult to predict, as they depend on factors characterized by large uncertainties, such as the geological and geotechnical conditions, an...
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09/05/2024
GEOIMAGING LIMITED
158K€
Presupuesto del proyecto: 158K€
Líder del proyecto
GEOIMAGING LIMITED
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Fecha límite participación
Sin fecha límite de participación.
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Información proyecto HYBLAND
Duración del proyecto: 36 meses
Fecha Inicio: 2021-04-20
Fecha Fin: 2024-05-09
Líder del proyecto
GEOIMAGING LIMITED
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Presupuesto del proyecto
158K€
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
The activation as well as the consequences of natural geohazards, such as landslides, are difficult to predict, as they depend on factors characterized by large uncertainties, such as the geological and geotechnical conditions, and the influence of human activities. The proposed study aims at the development of a novel, reliable and comprehensive method for the estimation of the landslide susceptibility and hazard. The individual goals of this study are: a) to investigate the failure mechanism of landslides and their spatio-temporal spread using an approach which combines the Earth Observation technology with the classical geotechnical research, b) to formulate an effective multimodal determinist approach for landslide susceptibility assessment, c) to develop a landslide susceptibility and hazard assessment method based on Machine Learning, d) to combine the two previous methods, effectively creating a novel, highly performing methodological approach. The new method will be able to manage more effectively the uncertainties, giving reliable results even in areas where there is scarcity of landslide records. The testbed area for the development of the new approach will be southwestern Cyprus, a region with very high density of landslide phenomena due its particular geology and relatively high seismicity. The produced hazard maps will allow the identification of areas which are susceptible to landslides and, consequently, the results of this research will help the decision-makers in taking actions towards protecting the built environment from the landslide hazards, thus securing sustainable development. Eventually, after the validation of the new method and produced maps, this process can be applied in other parts of Europe suffering from similar phenomena.