Seismic-event-based methodology to obtain earthquake-induced translational landslide regional hazard maps

Niño, Mauro; Jaimes, Miguel Á.; Reinoso, Eduardo

doi:10.1007/s11069-014-1163-y

Cited by 18 publications

(7 citation statements)

References 17 publications

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“…When the accelerated velocity of an earthquake surpasses the critical acceleration of an unstable slope under the conditions of an earthquake, the slope may slip along the failure plane, and permanent displacement will amass in the downward orientation [54]. The critical acceleration can be obtained from Equation (7) [55]:ac=(Fs−1)gsinα, where α is the gradient of the slope; g is the gravitational acceleration; and Fs is the static safety factor, which can be represented by Equation (8) [56,57]:FS=C′γtsinα+tanφ′tanα−mγwtanφ′γtanα, where C’ is the efficient cohesion (MPa); φ’ is the internal friction angle (°); γ is weight of rock-soil body (N/m 3 ); γ W is the weight of water (N/m 3 ); t is the sliding plane thickness (m); and m is the thickness ratio of the failure plane under water.…”

Section: Methodsmentioning

confidence: 99%

Risk Assessment of An Earthquake-Collapse-Landslide Disaster Chain by Bayesian Network and Newmark Models

Han

Feng

et al. 2019

IJERPH

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Severe natural disasters and related secondary disasters are a huge menace to society. Currently, it is difficult to identify risk formation mechanisms and quantitatively evaluate the risks associated with disaster chains; thus, there is a need to further develop relevant risk assessment methods. In this research, we propose an earthquake disaster chain risk evaluation method that couples Bayesian network and Newmark models that are based on natural hazard risk formation theory with the aim of identifying the influence of earthquake disaster chains. This new method effectively considers two risk elements: hazard and vulnerability, and hazard analysis, which includes chain probability analysis and hazard intensity analysis. The chain probability of adjacent disasters was obtained from the Bayesian network model, and the permanent displacement that was applied to represent the potential hazard intensity was calculated by the Newmark model. To validate the method, the Changbai Mountain volcano earthquake–collapse–landslide disaster chain was selected as a case study. The risk assessment results showed that the high-and medium-risk zones were predominantly located within a 10 km radius of Tianchi, and that other regions within the study area were mainly associated with very low-to low-risk values. The verified results of the reported method showed that the area of the receiver operating characteristic (ROC) curve was 0.817, which indicates that the method is very effective for earthquake disaster chain risk recognition and assessment.

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Section: Methodsmentioning

confidence: 99%

Risk Assessment of An Earthquake-Collapse-Landslide Disaster Chain by Bayesian Network and Newmark Models

Han

Feng

et al. 2019

IJERPH

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“…Therefore, with the results obtained, by combining all the factors mentioned above in equation 1, the value of the indicator of the threat of landslide HI can be classified and evaluated based on the values in Table 7 [31], [36]. In effect, the susceptibility index for the basin in question is calculated by adding the two maps [20], [24], [37], as shown in equation 3.…”

Section: ) Determination Of Landslide Susceptible Areasmentioning

confidence: 99%

“…For example, the Province of Orellana registered a total of 151 spills until 2011, from which 50.10% have occurred in the Francisco de Orellana Canton (El Coca), 49.79% in the Joya de Los Sacha canton, and 0.21% in the Aguarico canton. These events are from natural or social origin have caused an imbalance in the environment and the waters of the Coca River and its effluents, putting the population, assets and resources at risk [12], [13], [20]. In this context, it is important to understand the capacities and vulnerabilities of the abiotic, biotic and social components to reduce the environmental risks of oil activities [16].…”

Section: Introductionmentioning

confidence: 99%

Landslide and Environmental Risk from Oil Spill due to the Rupture of SOTE and OCP Pipelines, San Rafael Falls, Amazon Basin, Ecuador

Poma¹,

Usca²,

Fdz-Polanco³

et al. 2021

International Journal on Advanced Science, Engineering and Information Technology

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A landslide generated an environmental risk due to a provoked oil spill on April 7, 2020, with the SOTE and OCP pipelines rupture. This research aims to determine the areas susceptible to landslides in the river basin Quijos of the Coca River and estimate the environmental risk from exposure to the oil spill. A water analysis of the Coca River was performed by using the Mora-Vahrson method and GIS tools. The subsequent water sampling was probabilistic in a simple random way, and the analyzed parameters were oils and grease, Ba, Cd, Cr, BOD, COD, TPH, OD, Pb, and SST. The results show that 61.17% (572.68 km2) of the total studied area (936.19 km2) is susceptible to landslide hazards. In detail, 0.25% (2.34 km2) of the area is considered to be of very high susceptibility, 26.72% (250.12 km2) of high susceptibility, 11.82% (110.66 km2) of moderate susceptibility, and 0.04 (0.37 km2) of low susceptibility. Four of them were within the permissible limits from the ten analyzed parameters, which correspond to Ba with 0.70 mg/L, OD with 7.4% of saturation, BOD5 with 2 mg/L, and COD with 25 mg/L. The other six parameters, including oils and fats, exhibited a significant increase in concentrations after the oil spill, yielding Cd 0.05 mg/L, total Cr 0.45 mg/L, TPH 0.20 mg/L, Pb 0.20 mg/L, and SST 20%. These results are outside the permissible limits, meaning that the river waters are contaminated.

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“…More details about this methodology are presented in Jaimes et al [2013] and Niño et al [2014]. • Hazard assessment for tsunami induced by earthquake.…”

Section: Intensity Measures and Exceedance Rate Functions For Multi-hmentioning

confidence: 99%

Risk Analysis for Structures Exposed to Several Multi-Hazard Sources

Jaimes

Reinoso

Esteva

2014

Journal of Earthquake Engineering

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A criterion for the estimation of losses of a structure exposed to several hazards is presented. It includes an approach to estimate the probability density function of the total damage that may be generated by the superposition of the effects of several simultaneous hazardous events that can be associated with a main primary event. It considers the probabilistic correlation of damage or failure of a structure due to the combined action of those simultaneous associated hazards. Finally, the intensities and times of occurrence of all relevant events of different natural origin that may significantly contribute to the risk for the structure of interest are taken into account, considering them as independent, with a negligible probability of producing simultaneous groups of significant associated hazardous events.

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Seismic-event-based methodology to obtain earthquake-induced translational landslide regional hazard maps

Cited by 18 publications

References 17 publications

Risk Assessment of An Earthquake-Collapse-Landslide Disaster Chain by Bayesian Network and Newmark Models

Risk Assessment of An Earthquake-Collapse-Landslide Disaster Chain by Bayesian Network and Newmark Models

Landslide and Environmental Risk from Oil Spill due to the Rupture of SOTE and OCP Pipelines, San Rafael Falls, Amazon Basin, Ecuador

Risk Analysis for Structures Exposed to Several Multi-Hazard Sources

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