Rendiconti Online della Società Geologica Italiana - Vol. 56/2022

Evaluation of anthropogenic sinkhole susceptibility in the city of Naples (Italy) using a presence only algorithm

Giuseppe Bausilio1, Mariagiulia Annibali Corona1, Diego Di Martire1, Mariano Di Napoli2, Luigi Guerriero1, Rita Tufano1 & Domenico Calcaterra1
1Department of Earth, Environmental and Resources Sciences, University of Naples Federico II, Naples, Italy.
2Department of Earth, Environmental and Life Sciences, University of Genoa, Genoa, Italy.
Corresponding author e-mail:

Volume: 56/2022
Pages: 45-49


Sinkholes are widespread phenomena on Earth and represent a significant hazard to the population residing in areas affected by such events. They consist of vertical depressions with a three-dimensional funnel shape, often triggered by dissolution or erosion of geological materials. To define sinkholes susceptibility for the city of Naples (Italy), a presence-only Machine Learning technique, namely Maximum Entropy, has been applied to the study area. The result obtained consists of a sinkhole susceptibility map that highlights a relatively important extension (4.9%) of the most susceptible class which consolidates the necessity of studying such phenomena in an effort to help the government officials for selecting and applying mitigation measures and adaptation plan.


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