Journal of Maps

Geohazards (landslides, debris flows, avalanches…) are events causing disasters with life and economic losses. Their susceptibility computation is the estimation of the likelihood of events occurrence in a certain area depending on diverse conditions. The susceptibility analysis is not only to determine the most influential factors to the occurrence of events in the region, but also the estimation of the relative contribution of each one for the analysed process.

In literature, various factors are employed as inputs, considering diverse features e.g. geo-lithological, morphological, land-use and generally environmental ones; their selection is usually based on previously acquired information/datasets. Additionally, in susceptibility model assessment human impact and other anthropic variable, such as terracing, abandonment or land use change, can be considered, too. Finally, the validation of the results should be carried out by an independent dataset to determine the goodness of fit of the estimated susceptibility.

The impacts to geohazards are various, firstly they can endanger human life, then economic activities, infrastructures and buildings can be, partially or completely, affected. The analysis of the potential occurrence is of great help for land planners and risk managers. While defining civil protection plans or designing mitigation actions the above-mentioned data can improve the land management by focusing the attention of technician to area featuring the highest proneness to these events.

Therefore, their representation on maps substantially improve the understanding of the phenomena and the potential impact on the studied area allowing a further refinement of land management thanks to the potentiality of GIS and other mapping and map-based analysis tools.

We would like to invite submissions to this Article Collection concerning geohazard and their susceptibility mapping. Contributions concerning (but not limited to) analytical approaches, methods comparisons, case studies, land planning/civil protection are welcome. Multidisciplinary approaches and the use of open source tools are greatly appreciated.

Keywords:

1.Civil Protection

2.Land management

3.Landslides

4.GIS

5.Statistical analysis

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Dr. Danilo Godone is a researcher at the National Research Council – Research Institute for Geo-Hydrological Protection; he holds a PhD in Forestry. His research topics are, among others, the monitoring of geohazards including the analysis of their susceptibility in view of the assessment of their impacts on infrastructures and societal aspects with a focus on fragile citizens.

Dr. Martina Cignetti is a researcher at the National Research Council – Research Institute for Geo-Hydrological Protection; she holds a PhD in Earth and Environmental Sciences. Her research topics are, among others, the investigation and characterization of geo-hydrological phenomena, the monitoring of diverse type of landslides and geohazards, including the analysis of their susceptibility in view of the assessment of their impacts on anthropic element, mainly focusing on the development of adaptative strategies for a safe landscape.

Prof. Dr. Francesco Faccini is an Associate Professor of Physical Geography and Geomorphology with a significant background in Engineering and Environmental Geology. The research interest is mainly focused on geo-hydrological hazards, from their identification to management and risk reduction measurements, and on applied geomorphological mapping, especially addressed to urban and land planning.

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All manuscripts submitted to this Article Collection will undergo a full peer-review; the Guest Advisor for this Collection will not be handling the manuscripts (unless they are an Editorial Board member).

Please review the journal scope and author submission instructions prior to submitting a manuscript.

The deadline for submitting manuscripts is [30/08/2024].

Please contact Agnes Zhou at [email protected] with any queries and discount codes regarding this Article Collection.

Please be sure to select the appropriate Article Collection from the drop-down menu in the submission system.

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