An Estimation of Earthquake Impact to Population in Makassar by Probabilistic Approach

Bambang Sunardi(1*), Sulastri Sulastri(2)

(1) Research and Development Center Indonesian Meteorological, Climatological and Geophysical Agency (BMKG)
(2) Research and Development Center Indonesian Meteorological, Climatological and Geophysical Agency (BMKG)
(*) Corresponding Author

Abstract

Makassar is one of Indonesian big cities with rapid growth rate, but not totally safe from earthquake hazard. This condition led study on affected population by earthquakes in this city are important to do. This paper estimated the population of Makassar City threatened by the probabilistic earthquake hazard. In this current study, earthquake hazard in the forms of peak ground acceleration (PGA) and spectral acceleration,  estimated by using Probabilistic Seismic Hazards Analysis (PSHA). The PSHA result then overlaid with administration map and population data to obtain distribution and percentage of population threatened by the probabilistic earthquake hazard. The results showed the smallest value of ground acceleration located in the south-west (Tamalate sub district), further north increased and reached the highest value in the northeast (Biring Kanaya sub district). Both Tamalate and Biringkanaya can be classified as rural area with low population density.  The urban area of Makassar, which is the concentration of population, located in the centre of Makassar, got the middle earthquake hazard.

Keywords

earthquake hazard; PSHA; ground acceleration; rural area; urban area

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References

Alif, S.M., Meilano, I., Gunawan, E., Efendi, J., 2016. Evidence of Postseismic Deformation Signal of the 2007 M8. 5 Bengkulu Earthquake and the 2012 M8. 6 Indian Ocean Earthquake in Southern Sumatra, Indonesia, Based on GPS Data. Journal of Applied Geodesy 10, 103–108.

Allen, T. I., Wald, D. J., Earle, P. S., Marano, K. D., Hotove c, A. J., Lin, K., Hearne, M. G. (2009) An atlas of shakemaps and population exposure catalog for earthquake loss modeling. Bull Earthquake Eng. 7, 701-718.

Ara, S. (2014) Impact of temporal population distribution on earthquake loss estimation: a case study on Sylhet, Bangladesh. Int J Sci Disaster Risk.5, 296-312.

Cornell, CA. (1968) Engineering Seismic Risk Analysis, Bulletin of the Seismological Society of America. Vol. 58, pp. 1583-1606.

Dell' Acqua, F., Gamba, P., Jaiswal, K. (2013) Spatial aspects of building and population exposure of data and their implications for modeling global earthquake exposure. Nat Hazards 68, 1291-1309.

Gupta, I., Sinvhal, A., Shankar, R. (2006) Himalayan population at risk strategies for earthquake preparedness. Disaster Prevention and Management. Vol. 15, No. 4, 608-620.

Pandita, H., Sukartono, S., Isjudarto, A., 2016. Geological Identification of Seismic Source at Opak Fault Based on Stratigraphic Sections of the Southern Mountains. Forum Geografi 30, 77–85.

Imran, I., and Boediono, B. (2010) Why we collapsed buildings at earthquake. Shortcourse IPR, Jakarta.

Irsyam, M., Sengara I.W., Adiamar, F., Widiyantoro, S., Triyoso, W., Natawidjaja, D.H., Kertapati, E., Meilano, I., Suhardjono, Asrurifak, M., and Ridwan, M. (2010) summary of study revision team earthquake map Indonesia, Bandung.

Kaharuddin M.S., Ronald Hutagalung and Nurhamdan. (2011) Indonesia economic and tectonic implications the potential earthquake and tsunami regional Sulawesi. Proceedings JCM Makassar in 2011, Makassar.

Liu, J., and Wang, S. (2015) Analysis of the differentiation in human vulnerability to earthquake hazards between rural and urban areas: case studies in 5.12 Wenchuan Earthquake (2008) and 4.20 Ya'an Earthquake (2013), China. J Hous and the Built Environ. 30, 87-107.

MakassarKota.go.id Geografis Kota Makassar, [online], from: http://makassarkota.go.id/110-geografiskotamakassar.html [13 September 2016].

Rahman, N., Ansary, M. A., Islam, I. (2015) GIS-based mapping of vulnerability to earthquake and fire hazards in Dhaka city, Bangladesh. International Journal of Disaster Risk Reduction.13, 291-300.

Rante, R. (2015) Mikrozonasi bahaya kegempaan Kota Makassar berbasis data seismik dan data geoteknik. Thesis, Hasanudin University.

Ruswandi, D., Kurniawan, L., Triutomo, S., Yunus, R., Amri, M. R., Hantyanto, A., Linawati, E., Ghozalba, F., Wulandari. A., Nugroho, P. C., Kumalasari, N., Yulianti, G., Rozita, E., Wulandari, D.W. S., Ichwana, A. E. (2014) IRBI Disaster Risk Index Indonesia in 2013. Directorate Reduction Disaster risk Deputy Prevention and Preparedness, West Java.

Standard ASCE ASCE / SEI 2010. Minimum Design Loads for Buildings and Other Structures (ASCE 7-10). Virginia.

Wang, J. F., Liao, Y. L., Wang, J. J., Fan, J., Chen, T., Gao, X. L., Cao, Z. D., Hu, M. G ., Ge, Y., Zheng, X, Y. (2012) Adaptive modeling of the human-environment relationship applied to estimation of the population carrying capacity in an earthquake zone. Popul Environ. 33, 233-242.

DOI: 10.23917/forgeo.v30i2.2591

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