Probabilistic Assessment of Debris Flow Peak Discharge by Monte Carlo Simulation-Reference-Cited by-同舟云学术

Probabilistic Assessment of Debris Flow Peak Discharge by Monte Carlo Simulation

Published:2017-03 Issue:1 Volume:3 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

De Paola F.¹,De Risi R.²,Di Crescenzo G.³,Giugni M.⁴,Santo A.⁵,Speranza G.⁶

Affiliation:

1. Assistant Professor, Dept. of Civil, Architectural and Environmental Engineering, Univ. of Naples Federico II, via Claudio 21, 80125 Napoli, Italy.

2. Dept. of Structures for Engineering and Architecture, Univ. of Naples Federico II, via Claudio 21, 80125 Napoli, Italy.

3. Research Fellow, Dept. of Civil, Architectural and Environmental Engineering, Univ. of Naples Federico II, via Claudio 21, 80125 Napoli, Italy.

4. Full Professor, Dept. of Civil, Architectural and Environmental Engineering, Univ. of Naples Federico II, via Claudio 21, 80125 Napoli, Italy.

5. Associate Professor, Dept. of Civil, Architectural and Environmental Engineering, Univ. of Naples Federico II, via Claudio 21, 80125 Napoli, Italy.

6. Scholar Fellowship, CIRAM, Univ. of Naples Federico II, via Mezzocannone 16, 80134 Napoli, Italy (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/AJRUA6.0000855

Reference36 articles.

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2. A comparison between physically based models and a semiquantitative methodology for assessing susceptibility to flowslides triggering in pyroclastic deposits of southern Italy;Andriola P.;Geografia e Dinamica Quaternaria,2009

3. Experimental evidences and numerical modelling of debris flow initiated by channel runoff

4. Modeling of Rainfall-Induced Shallow Landslides of the Flow-Type

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