HYBLAND
EU RESEARCH PROJECT
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 101027880About Hybland project.
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 the Paphos District , which is situated in the southwestern part of the island of Cyprus.
This area exhibits a 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.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 101027880
The effects of Pissouri landslide
The effects of Pissouri landslide
About Me
The primary research interests of Dr Tzampoglou Ploutarchos include engineering geology, geotechnical engineering, environmental engineering, natural disasters and land use planning.
The graduation of Dr. Tzampoglou from a five-year based program as a Mining and Metallurgy Engineer (NTUA) was followed by two MSc degrees in the ‘Design and construction of underground works’ (Mining Engineering, NTUA) and in ‘Technoeconomic systems” (Electrical Engineering, NTUA).
The latter provided him with valuable knowledge on project management and administration.
The researcher holds a PhD in the field of Engineering Geology, and has proven his capacity to produce quality results, which have been published in high-impact scientific journals. He has an excellent knowledge and experience in soil and rock mechanics laboratory testing, Natural Hazards risk assessment and the use of numerical modelling programs (such as Plaxis 3D). During his postdoctorat he had the opportunity to work on the validation of the Earth Observation techniques (EOT) and on the risk assessment due to the expansion/shrinkage of soils at Nicosia area through the application of ArcGIS.
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