Issue |
E3S Web Conf.
Volume 156, 2020
4th International Conference on Earthquake Engineering & Disaster Mitigation (ICEEDM 2019)
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|
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Article Number | 04004 | |
Number of page(s) | 5 | |
Section | Tsunami | |
DOI | https://doi.org/10.1051/e3sconf/202015604004 | |
Published online | 13 March 2020 |
Prediction of tsunami inundation impact in Padang city
1 Department of Civil Engineering, Andalas University, Padang, Indonesia
2 Department of Environmental Engineering, Andalas University, Padang, Indonesia
3 Department of Civil Engineering, Andalas University, Padang, Indonesia
* Corresponding author: purnawan@eng.unand.ac.id
Sumatera Barat has predicted by experts will be hit by earthquake due to subduction of Indo-Australian and Eurasian tectonic plates, this earthquake would result tsunami that will hit Padang city. The tsunami will cause inundation in the several areas of city near the coast. The area of tsunami inundation in Padang city has predicted by expert, this prediction result is displayed on a tsunami inundation map. This paper discusses the impact of tsunami inundation on housing and public facilities in those areas, this result could be used to prepare evacuation planning. The method of study, is by identification of impact tsunami inundation on housing and public facilities. This is carried out with superimpose of tsunami inundation map to Padang city map, submerged housing and public facilities are identified manually. The data then were verified in the field. From result of identification, the depth of inundation in subdistrict are classified, then the public facilities that affected by tsunami inundation are classified in each of subdistrict. Total 27.228 unit house and public facilities that affected by tsunami inundation, 86.3% is housing and 13.4% public facilities. The most affected subdistrict by tsunami inundation is Bungo Pasang, it is 2.899 house and public facilities submerged.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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