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Mr. Hugo Rosero
Technical Universit of Munich

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0 Critical Infrastructure
0 Probabilistic Models
0 Risk Analysis
0 machine learning
0 Probabilistic Analysis

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Short Biography

Technische Universität München. Arcisstr. 21, 80333, Munich, GERMANY

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Journal article
Published: 05 February 2021 in Sustainability
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The inhabitants of Latacunga living in the surrounding of the Cotopaxi volcano (Ecuador) are exposed to several hazards and related disasters. After the last 2015 volcanic eruption, it became evident once again how important it is for the exposed population to understand their own social, physical, and systemic vulnerability. Effective risk communication is essential before the occurrence of a volcanic crisis. This study integrates quantitative risk and semi-quantitative social risk perceptions, aiming for risk-informed communities. We present the use of the RIESGOS demonstrator for interactive exploration and visualisation of risk scenarios. The development of this demonstrator through an iterative process with the local experts and potential end-users increases both the quality of the technical tool as well as its practical applicability. Moreover, the community risk perception in a focused area was investigated through online and field surveys. Geo-located interviews are used to map the social perception of volcanic risk factors. Scenario-based outcomes from quantitative risk assessment obtained by the RIESGOS demonstrator are compared with the semi-quantitative risk perceptions. We have found that further efforts are required to provide the exposed communities with a better understanding of the concepts of hazard scenario and intensity.

ACS Style

Juan Gomez-Zapata; Cristhian Parrado; Theresa Frimberger; Fernando Barragán-Ochoa; Fabio Brill; Kerstin Büche; Michael Krautblatter; Michael Langbein; Massimiliano Pittore; Hugo Rosero-Velásquez; Elisabeth Schoepfer; Harald Spahn; Camilo Zapata-Tapia. Community Perception and Communication of Volcanic Risk from the Cotopaxi Volcano in Latacunga, Ecuador. Sustainability 2021, 13, 1714 .

AMA Style

Juan Gomez-Zapata, Cristhian Parrado, Theresa Frimberger, Fernando Barragán-Ochoa, Fabio Brill, Kerstin Büche, Michael Krautblatter, Michael Langbein, Massimiliano Pittore, Hugo Rosero-Velásquez, Elisabeth Schoepfer, Harald Spahn, Camilo Zapata-Tapia. Community Perception and Communication of Volcanic Risk from the Cotopaxi Volcano in Latacunga, Ecuador. Sustainability. 2021; 13 (4):1714.

Chicago/Turabian Style

Juan Gomez-Zapata; Cristhian Parrado; Theresa Frimberger; Fernando Barragán-Ochoa; Fabio Brill; Kerstin Büche; Michael Krautblatter; Michael Langbein; Massimiliano Pittore; Hugo Rosero-Velásquez; Elisabeth Schoepfer; Harald Spahn; Camilo Zapata-Tapia. 2021. "Community Perception and Communication of Volcanic Risk from the Cotopaxi Volcano in Latacunga, Ecuador." Sustainability 13, no. 4: 1714.

Conference paper
Published: 01 January 2019 in Proceedings of the 29th European Safety and Reliability Conference (ESREL)
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ACS Style

Hugo Rosero-Velásquez; Daniel Straub. Representative Natural Hazard Scenarios for Risk Assessment of Spatially Distributed Infrastructure Systems. Proceedings of the 29th European Safety and Reliability Conference (ESREL) 2019, 1 .

AMA Style

Hugo Rosero-Velásquez, Daniel Straub. Representative Natural Hazard Scenarios for Risk Assessment of Spatially Distributed Infrastructure Systems. Proceedings of the 29th European Safety and Reliability Conference (ESREL). 2019; ():1.

Chicago/Turabian Style

Hugo Rosero-Velásquez; Daniel Straub. 2019. "Representative Natural Hazard Scenarios for Risk Assessment of Spatially Distributed Infrastructure Systems." Proceedings of the 29th European Safety and Reliability Conference (ESREL) , no. : 1.

Section 15
Published: 17 December 2018 in PAMM
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A fully fractional stochastic model for linear viscoelastic materials is proposed. Time dependent stress‐strain response for creep tests is described through Adaptive Links theory as a random process of successive micro‐stretching events due to disentanglements between groups of material fibers. The process is modeled by a Continuous Time Random Walk (CTRW) that tends in average to power‐law function, which corresponds to the creep kernel of the usual fractional model for viscoelasticity. Thermal effects are explained through changes in waiting time and jump compliance distribution parameters. Simulated CTRWs are compared with experimental results of specimens of epoxy resin. It was observed that simulated mean function approaches to measurements in long term during the creep phase. Additionally, parameter averages decrease for higher temperatures, representing more frequent jumps of fiber creep strain and faster development of creep process.

ACS Style

Hugo Rosero-Velásquez; Giulio Cottone; Natalia Colinas-Armijo. Statistical Methods for Parameter Identification of Temperature Dependent Viscoelastic Models. PAMM 2018, 18, e201800372 -2.

AMA Style

Hugo Rosero-Velásquez, Giulio Cottone, Natalia Colinas-Armijo. Statistical Methods for Parameter Identification of Temperature Dependent Viscoelastic Models. PAMM. 2018; 18 (1):e201800372-2.

Chicago/Turabian Style

Hugo Rosero-Velásquez; Giulio Cottone; Natalia Colinas-Armijo. 2018. "Statistical Methods for Parameter Identification of Temperature Dependent Viscoelastic Models." PAMM 18, no. 1: e201800372-2.