Risk Assessment of Earthquake-Induced Landslides in Urban Zones

Vega, Johnny Alexánder; Hidalgo, César A.

doi:10.1007/978-3-319-53498-5_108

Cited by 5 publications

(1 citation statement)

References 10 publications

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“…These highly detailed population maps at the building level as well as at the 100x100m-cell grid level are not commonly existent in the Global South. Such products at this spatial resolution and with high accuracy have a great applicability in several fields, for example in risk assessment [67] or in urban planning [10]. And it can also be the basis for transferring the approach to other Colombian cities with available cadastre data.…”

Section: Plos Onementioning

confidence: 99%

Empiric recommendations for population disaggregation under different data scenarios

et al. 2022

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High-resolution population mapping is of high relevance for developing and implementing tailored actions in several fields: From decision making in crisis management to urban planning. Earth Observation has considerably contributed to the development of methods for disaggregating population figures with higher resolution data into fine-grained population maps. However, which method is most suitable on the basis of the available data, and how the spatial units and accuracy metrics affect the validation process is not fully known. We aim to provide recommendations to researches that attempt to produce high-resolution population maps using remote sensing and geospatial information in heterogeneous urban landscapes. For this purpose, we performed a comprehensive experimental research on population disaggregation methods with thirty-six different scenarios. We combined five different top-down methods (from basic to complex, i.e., binary and categorical dasymetric, statistical, and binary and categorical hybrid approaches) on different subsets of data with diverse resolutions and degrees of availability (poor, average and rich). Then, the resulting population maps were systematically validated with a two-fold approach using six accuracy metrics. We found that when only using remotely sensed data the combination of statistical and dasymetric methods provide better results, while highly-resolved data require simpler methods. Besides, the use of at least three relative accuracy metrics is highly encouraged since the validation depends on level and method. We also analysed the behaviour of relative errors and how they are affected by the heterogeneity of the urban landscape. We hope that our recommendations save additional efforts and time in future population mapping.

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Section: Plos Onementioning

confidence: 99%

Empiric recommendations for population disaggregation under different data scenarios

et al. 2022

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Probabilistic landslide risk assessment in water supply basins: La Liboriana River Basin (Salgar-Colombia)

Hidalgo

Vega

2021

Nat Hazards

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Comparison of Geometric and Experimental Models for the Assessment of the Runout and Deposition Height of a Debris Flow in Cohesive Soils

Hurtado

Vega²,

Hidalgo³

2020

IOP Conf. Ser.: Mater. Sci. Eng.

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The objective of this paper is to validate if one dimensional runout and height deposition prediction models are suitable for large-scale landslides (debris flows in cohesive soils) based on a small-laboratory-scale test, because landslides are unpredictable hazards and involve a great quantity of triggering variables which in most cases determine the mass movement behavior during its trajectory. Due to many of these variables cannot be obtained from theoretical methods, since they are natural to the soil composition, and to the high rheological variation this soil masses suffer during all the deposition process, it is necessary finding adaptable tools and assessment methods that require simple information, such as terrain slope and soil water content. This becomes one of the main reasons for this type researches. A laboratory experiment was designed which ground slope and soil water content were involved. Several laboratory-scale trials were performed, analysed, compared and validated with one-dimensional runout prediction models as Fahrböschung model and modified gradient model, where its suitability is discussed. Regarding models that involve more advanced tools for the analysis of a landslide, like the modified gradient model, it can be affirmed that its results are reliable and clearly reflect the sliding mass behaviour in a real scenario, without mentioning the advantages using a tool like geographic information system in cases where an exhaustive analysis of all the variables that influence a landslide is needed. In conclusion, a geometric model as the modified gradient model can be used for important analysis that require runout and height deposition estimations for the calculation of a structure physical vulnerability subject to the lateral forces of a sliding soil mass. This is an important parameter to cities planning.

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Risk Assessment of Earthquake-Induced Landslides in Urban Zones

Cited by 5 publications

References 10 publications

Empiric recommendations for population disaggregation under different data scenarios

Empiric recommendations for population disaggregation under different data scenarios

Probabilistic landslide risk assessment in water supply basins: La Liboriana River Basin (Salgar-Colombia)

Comparison of Geometric and Experimental Models for the Assessment of the Runout and Deposition Height of a Debris Flow in Cohesive Soils

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