Tsunami Fragility Functions for Road and Utility Pole Assets Using Field Survey and Remotely Sensed Data from the 2018 Sulawesi Tsunami, Palu, Indonesia

Williams, James; Paulik, Ryan; Wilson, Thomas; Wotherspoon, Liam; Rusdin, Andi; Pratama, Gumbert Maylda

doi:10.1007/s00024-020-02545-6

Cited by 12 publications

(12 citation statements)

References 44 publications

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“…Remote sensing can greatly increase the amount of damage data available for vulnerability assessment, particularly in a post-disaster context where time to conduct field surveys can be highly constrained (e.g. Mas et al, 2020;Williams et al, 2020). Remote sensing enables rapid data collection for large numbers of buildings over relatively wide areas and allows surveys to be carried out years after the damage occurred, if adequate satellite imagery is available.…”

Section: Implications For Damage and Vulnerability Assessmentmentioning

confidence: 99%

Remotely assessing tephra fall building damage and vulnerability: Kelud Volcano, Indonesia

et al. 2020

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Tephra from large explosive eruptions can cause damage to buildings over wide geographical areas, creating a variety of issues for post-eruption recovery. This means that evaluating the extent and nature of likely building damage from future eruptions is an important aspect of volcanic risk assessment. However, our ability to make accurate assessments is currently limited by poor characterisation of how buildings perform under varying tephra loads. This study presents a method to remotely assess building damage to increase the quantity of data available for developing new tephra fall building vulnerability models. Given the large number of damaged buildings and the high potential for loss in future eruptions, we use the Kelud 2014 eruption as a case study. A total of 1154 buildings affected by falls 1–10 cm thick were assessed, with 790 showing signs that they sustained damage in the time between pre- and post-eruption satellite image acquisitions. Only 27 of the buildings surveyed appear to have experienced severe roof or building collapse. Damage was more commonly characterised by collapse of roof overhangs and verandas or damage that required roof cladding replacement. To estimate tephra loads received by each building we used Tephra2 inversion and interpolation of hand-contoured isopachs on the same set of deposit measurements. Combining tephra loads from both methods with our damage assessment, we develop the first sets of tephra fall fragility curves that consider damage severities lower than severe roof collapse. Weighted prediction accuracies are calculated for the curves using K-fold cross validation, with scores between 0.68 and 0.75 comparable to those for fragility curves developed for other natural hazards. Remote assessment of tephra fall building damage is highly complementary to traditional field-based surveying and both approaches should ideally be adopted to improve our understanding of tephra fall impacts following future damaging eruptions.

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Section: Implications For Damage and Vulnerability Assessmentmentioning

confidence: 99%

Remotely assessing tephra fall building damage and vulnerability: Kelud Volcano, Indonesia

et al. 2020

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“…Electricity distribution networks are among these distributed infrastructure networks, consisting of sub-transmission and distribution lines, substations, and transformers, which supply electricity to users in each distribution region. Although the electricity network is of vital importance to post-tsunami response, the network and its components are also vulnerable to damage from tsunamis (Williams et al, 2019(Williams et al, , 2020. Recent tsunamis in Chile (2010), Japan (2011), Palu (2018), and Tonga (2022) damaged coastal generation and transmission facilities, disrupting the national or local electricity network (Norio et al, 2011;Mori and Takahashi, 2012;Suppasri et al, 2012;Horspool and Fraser, 2016;Omira et al, 2019;Paulik et al, 2019;WorldBank, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…A comprehensive risk model can be developed using a number of methods, commonly involving a hazard model, asset data of the specific infrastructure being investigated, and a vulnerability model connecting the hazard to the asset. Quantification of asset vulnerability typically relies on available field data or a suitable combination of physical and numerical modelling to link a characteristic hazard magnitude scale to estimated damage levels (Koshimura et al, 2009;Macabuag et al, 2016;Alam et al, 2018b;Williams et al, 2020). Since the nearshore properties of tsunamis are strongly dependent on local features such as the offshore and nearshore bathymetry, the coastline shape and the inland topography (Yeh et al, 1989(Yeh et al, , 2005FEMA, 2011), well-resolved numerical modelling is required to correctly capture the spatial distribution of the hazard to coastal assets.…”

Section: Introductionmentioning

confidence: 99%

Vulnerability of power distribution utility poles to tsunami bore impacts

Stephens,

Xu,

Whittaker

et al. 2023

Journal of Coastal and Hydraulic Structures

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Recent events have demonstrated that power distribution networks located in low-lying coastal areas are susceptible to damage from tsunami. Utility poles are a critical component of distribution networks as they support overhead power lines. Damage to the poles could therefore compromise the electricity supply to emergency facilities as well as to homes and businesses over large areas. This work quantifies the component-level tsunami vulnerability of common power distribution line utility poles, considering hydrodynamic wave-impact loading effects but neglecting debris impact and scour effects. First, a series of scaled flume experiments were used to identify the relationship between the tsunami wave properties and hydrodynamic loading histories. Next, nonlinear numerical distribution line utility pole models were validated using the experimental data and extended to account for soil-structure interaction effects. Finally, the loading histories from the flume tests were scaled and used in the numerical models to perform an incremental dynamic tsunami analysis on varying pole geometries and loading orientations at prototype scale. The results from this work provide valuable insight into the response of power distribution poles subjected to tsunami attack. This includes validating idealised approaches to determine the expected failure mode(s) based on pole embedment depths and soil properties and providing probabilistic tools capable of estimating damage based on expected tsunami inundation depths.

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“…As far as we are aware, fragility functions developed for utility poles in Williams et al (2020b) represent the sole tsunami fragility study related to electrical supply and communication networks. The utility poles were surveyed in Palu City, Indonesia following the 2018 Sulawesi tsunami (Paulik et al, 2019), and include electric poles, street lamps and street signs.…”

Section: Electrical Supply and Communication Networkmentioning

confidence: 99%

“…The utility poles were surveyed in Palu City, Indonesia following the 2018 Sulawesi tsunami (Paulik et al, 2019), and include electric poles, street lamps and street signs. Damage was assessed through both field survey and street view imagery provided by Google Earth Pro, and damage states were assigned to each pole in order of severity (in Williams et al, 2020b). The damage scale used in Williams et al (2020b) do not provide descriptions to damage beyond describing CHAPTER 2 45 them as "no damage", "minor damage", "moderate damage" and "major damage".…”

Section: Electrical Supply and Communication Networkmentioning

confidence: 99%

Understanding the response of coastal infrastructure to tsunami impacts

Chua¹

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Please select one of the following; *delete as appropriate: *(A) This thesis does not contain any materials from papers published in peer-reviewed journals or from papers accepted at conferences in which I am listed as an author. *(B) This thesis contains material from 1 paper(s) published in the following peer-reviewed journal(s) / from papers accepted at conferences in which I am listed as an author.

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Tsunami Fragility Functions for Road and Utility Pole Assets Using Field Survey and Remotely Sensed Data from the 2018 Sulawesi Tsunami, Palu, Indonesia

Cited by 12 publications

References 44 publications

Remotely assessing tephra fall building damage and vulnerability: Kelud Volcano, Indonesia

Remotely assessing tephra fall building damage and vulnerability: Kelud Volcano, Indonesia

Vulnerability of power distribution utility poles to tsunami bore impacts

Understanding the response of coastal infrastructure to tsunami impacts

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