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MUNICIPALITY VAL DI ZOLDO EVALUTATION IN SUSCEPTIBILITY LANDSLIDE

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LANDSLIDE

SUSCEPTIBILITY

EVALUTATION IN

VAL DI ZOLDO

MUNICIPALITY

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INDEX

• Introduction • Location • Geology • VAIA Event • Landslides • Method • Probabilistic Model • IFrel Results

• Susceptibility Map & Grade • Sensitivity Analysis

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LOCATION

Forno di Zoldo Fusine

Pecol

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GEOLOGY

Stratigraphy: • Dolomia Principale (Norico) • Travenanzes Formation (Tuvalico, Carnico sup) • Heiligkreuz Formation (Carnico sup) • Cassian Dolomite (medium Carnico)

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Dolomia Principale

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74 172,6 160 24 0 20 40 60 80 100 120 140 160 180 1 m m per day Days

VAIA Event, Daily Data

27 28 29 30

VAIA EVENT: 27-28-29-30 October 2018

Pluviometrical data from Val di Zoldo station

• 492mm in October • 430mm in 4 days

• 9,2m/s Top wind speed

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Forno di Zoldo Dont

Fusine Pecol

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Dont Fusine

Pecol

Forno di Zoldo

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METHOD

Input Factors:

• Elevation 🡪 Reclassified Elevation 🡪 IFFI Lands. 🡪 IFrel E. • Slope 🡪 Reclassified Slope 🡪 IFFI Lands. 🡪 IFrel S. • Curvature 🡪 Reclassified Curvature 🡪 IFFI Lands. 🡪 IFrel C. • Aspect 🡪 Reclassified Aspect 🡪 IFFI Lands. 🡪 IFrel A. • Street distance 🡪 Reclassified Street d. 🡪 IFFI Lands. 🡪 IFrel S.d. • River distance 🡪 Reclassified River d. 🡪 IFFI Lands. 🡪 IFrel R.d. • Lithology 🡪 Reclassified Lithology 🡪 IFFI Lands. 🡪 IFrel L. • Land use 🡪 Reclassified Land use 🡪 IFFI Lands. 🡪 IFrel L.u.

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PROBABILISTIC MODEL

• Relative Landslide Index

• ∑IFrel of Input Factors Susceptibility

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IFrel

RESULTS:

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IFrel

RESULTS:

Non

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SUSCEPTIBILITY MAP 0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1 0 0 , 1 0 , 2 0 , 3 0 , 4 0 , 5 0 , 6 0 , 7 0 , 8 0 , 9 1 P OR T IO N OF U N S T A B L E A R E A S

PORTION OF AREAS PREDICTED AS HAZARDOUS

SUCCESS RATE & PREDICTIVE CURVE

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SUSCEPTIBILITY GRADE 0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1 0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1 P o rt io n o f u n st a b le a re a s V A IA

Portion of areas predicted as hazardous

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SENSITIVITY ANALYSIS 0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1 0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1 P or ti on of unst abl e ar eas V A IA

Portion of areas predicted as hazardous

Predictive Curve

Morfometric Factors No Morfometric Factors No Street & River Distance Log. (Morfometric Factors)

Log. (No Morfometric Factors) Log. (No Street & River Distance)

0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1 0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1 P or ti on of unst abl e ar eas IF F I

Portion of areas predicted as hazardous

Success Rate Curve

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CONCLUSIONS

• Through this work we can realize an evaluation of landslide susceptibility. So we can expect where landslides will occur.

• The statistic model that resulted very efficient as shown by the Success Rate & Predictive curves.

• Through the analysis of Morfometric and non-Morfometric

Factors we define that landslides are more likely in the following cases. Morfometric factors:

• Elevation between 557m – 1150m. • Slope between 0° - 5°.

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CONCLUSIONS

• Non-Morfometric factors:

• Land Use – Urban, Sparse Vegetation and Water Body; • Street Distance between 0 - 150m;

• River Distance between 0 - 40m and 340m – 800m; • Lithology – Sandstone and Mixed Alluvial Deposits; • Sensitivity Analysis:

• Success Rate Curves are similar using input factors.

• Predictive Curve the models vary depending on the input factors: • Non Morfometric factors – highly efficient.

• Morfometric factors – less efficient.

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BIBLIOGRAPHY

• Bosellini A., 1996 - La storia geologica delle Dolomiti. 148 pp., Edizioni Dolomiti, Pordenone. Entry two

• Neri C., Gianolla P., Furlanis S., Caputo R. & Bosellini A., 2007 - Note illustrative della Carta Geologica d’Italia. Foglio Cortina d’Ampezzo 029. Scala 1:50.000. Servizio Geologico d’Italia, 200 pp.

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