SINKHOLE SUSCEPTIBILITY MAP OF THE LAZIO …...Ostia Formia Supino Artena Alatri Cesano Nettuno...
Transcript of SINKHOLE SUSCEPTIBILITY MAP OF THE LAZIO …...Ostia Formia Supino Artena Alatri Cesano Nettuno...
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LAZIO
ABRUZZO
UMBRIATOSCANA
MARCHE
CAMPANIA
MOLISE
Sora
Fondi
Sezze
Ardea
Ostia
Formia
Supino
Artena Alatri
Cesano
Nettuno Cassino
Aprilia
PomeziaAriccia
Minturno
Sabaudia
Priverno
Velletri
Zagarolo
Vetralla
Tuscania
Terracina
Ferentino
Fiumicino
LadispoliCerveteri
Tarquinia
Pontecorvo
Roccasecca
Isola LiriColleferro
Valmontone
Palestrina
Vignanello
RoccaPriora
Monterotondo
Fiano RomanoCivitavecchia
Montefiascone
Tor San Lorenzo
Montalto Marina Fabrica di Roma
Monte San Biagio
CivitaCastellana
San Felice Circeo
Anguillara SabaziaCampagnano di Roma
Soriano nel Cimino
Altipiani di Arcinazzo
148497
148497
208497
208497
268497
268497
328497
328497
388497
388497 4548
051
4628
051
4628
051
4708
051
4708
051
14°15'0"E
14°15'0"E
12°24'0"E
12°24'0"E
42°40
'0"N
42°40
'0"N
42°0'
0"N
42°0'
0"N
41°20
'0"N
41°20
'0"N
0 2010km
RIETIVITERBO
LATINA
FROSINONE
ROME
The sinkhole susceptibility map of the Lazio Region (17,189 km2)was elaborated at 1:250000 scale. The map was constructed basedon the sinkhole inventory of the Latium region formed by 393active or extinct sinkholes collected by the University of Rome 3,by the Regione Lazio and by the Istituto Superiore per la RicercaAmbientale (ISPRA). The sinkhole inventory also includesgeological, structural, hydrogeological, geochemical and seismicdata, which have been used as auxiliary information to construct the map. An important task for sinkhole risk mitigation is the development of maps providing information on the distribution ofpre-existing sinkholes and the probability of occurrence of newsinkholes. Therefore, the map describes the sinkhole susceptibilityof the Lazio region, and allows the recognition some Sinkhole Prone Areas (SPA). The map was constructed by defining a Logistic Regression model that uses the statistical relationshipsbetween the sinkhole presence (i.e., binary variable, 0/1) and aseries of geological factors (i.e., predictors), measured on a nominal, ordinal, interval or ratio scale, that play an important role in the process of sinkhole formation. Final LR results are expressedin terms of the probability that the phenomenon manifests itself in space by using the exponential transformation of the model regression coefficients. The probability scale was transformed in aranked scale according to a very low, low, intermediate, high and very high susceptibility.
Descriptive notes
TyrrhenianSea
Adriatic Sea
ITALYLazio
Region
IonianSea
ABRUZZO
CARTOGRAPHIC REFERENCE SYSTEM WGS 84 UTM ZONE 32 -CARTESIAN LATTICE IN BLACKGEOGRAPHIC COORDINATES REFER TO THE WGS 84 GEODETIC SYSTEM IN BLUE
SINKHOLE SUSCEPTIBILITY MAP OF THE LAZIO REGION, CENTRAL ITALYCiotoli G. , Di Loreto E. , Finoia M.G. , Liperi L. , Meloni F. , Nisio S. , Sericola A.1,2 3 4 3 3 4 3
1 Istituto di Geologia Ambientale e Geoingegneria, Consiglio Nazionale delle Ricerche - IGAG-CNR, Area della Ricerca di Roma1 - Montelibretti, Via Salaria Km 29,300, Monterotondo, Rome, Italy2 Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma 2, Via di Vigna Murata, 605 - 00143 Rome, Italy3 Area Difesa Suolo e Bonifiche, Regione Lazio via del Tintoretto, 432 - 00142 Rome, Italy4 Istituto Superiore per la Ricerca Ambientale, ISPRA, Via V. Brancati, 48 - 00144, Rome, Italy
© Journal of Maps, 2014
TownsRiversPrimary roadsHighwaysRegional boundariesProvince boundariesCities
Legend
SusceptibilityVery low (0-20%)Low (20-40%)Intermediate (40-60%)High (60-80%)Very high (80-100%)
1 - 23 - 78 - 1819 - 3435 - 94
Number of sinkhole per 5 km2
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