1. Map of the sinkhole prone areas of the Lazio Region, central Italy. (Articolo in rivista)

Type
Label
  • 1. Map of the sinkhole prone areas of the Lazio Region, central Italy. (Articolo in rivista) (literal)
Anno
  • 2015-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1080/17445647.2015.1014939 (literal)
Alternative label
  • Ciotoli G, Di Loreto E., Finoia M.G., Liperi L., Meloni F., Nisio S., Sericola A. (2015)
    1. Map of the sinkhole prone areas of the Lazio Region, central Italy.
    in Journal of maps
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Ciotoli G, Di Loreto E., Finoia M.G., Liperi L., Meloni F., Nisio S., Sericola A. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 12 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 8 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Area Difesa Suolo e Bonifiche, Regione Lazio via del Tintoretto, 432 - 00142 Rome, Italy Istituto Superiore per la Ricerca Ambientale, ISPRA, Via V. Brancati, 48 - 00144, Rome, Italy (literal)
Titolo
  • 1. Map of the sinkhole prone areas of the Lazio Region, central Italy. (literal)
Abstract
  • Lazio is a land particularly affected by catastrophic collapses. It shows some areas where the sinkholes appear to be sporadic and, on the contrary, other areas that are particularly affected by sinkholes. These events can cause considerable damage when it occurs in an urban areas or in areas with infrastructural networks. For years, the Lazio Region conducted studies on sinkholes in order to define the prone areas to this phenomenon. This study involved the use of cartographic sources, historical documentation, as well as field trips, in order to construct an inventory of the sinkhole cases in the region, as well as to identify the sinkhole prone areas. The inventory allowed to frame each of the sinkhole case within the geological and hydrogeological scenario, as well as the surrounding vegetation and degree of urbanization, in which it occurred. Correlations were also performed with the tectonic and structural trends, and with some triggering factor, such as earthquakes. Some predisposing variables to sinkhole phenomena are then selected. The application of multivariate logistic regression and geospatial analyses allows the selection of the most significant factors, as well as their optimal weights used to construct a sinkhole susceptibility map of the Latium Region at the 1:250000 scale. The identification of the susceptibility grade of the sinkhole prone areas will help to establish a rule for the use of all these areas, based on the risk level. (literal)
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