GIS-Based Earthquake Damage Prediction in Different Earthquake Models: A Case Study at the University of the Philippines Los Baños, Philippines
Ibnu Rusydy1,3,*, Decibel V. Faustino-Eslava2, Umar Muksin3,5, Richelle Gallardo-Zafra4, Jedidiah Joel C. Aguirre4, Nathaniel C. Bantayan6, Lubna Alam7, and Shruthi Dakey8
1Department of Geological Engineering, Faculty of Engineering,
Syiah Kuala University, Banda Aceh, Indonesia
2School of Environmental Science and Management,
University of the Philippines, Los Baños, Laguna, Philippines
3Tsunami and Disaster Mitigation Research Center, Syiah Kuala University, Banda Aceh, Indonesia
4Department of Civil Engineering, University of Philippines Los Baños, Laguna, Philippines
5Department of Physics, Faculty of Sciences, Syiah Kuala University, Banda Aceh, Indonesia
6College of Forestry and Natural Resources, University of the Philippines, Los Baños, Laguna, Philippines
7LESTARI, Universiti Kebangsaan Malaysia (UKM), Selangor, Malaysia
8Visvesvaraya National Institute of Technology, Maharashtra, India
The University of the Philippines Los Baños (UPLB) is located in an earthquake-prone region and there are numerous earthquake sources that can possibly cause an earthquake at any magnitude anytime. A study of the earthquake damage prediction in several earthquake magnitude and time scenarios in GIS model analysis has been conducted for the UPLB’s campus. This study aims to produce several scenarios of the earthquake models and an intensity map for UPLB’s campus; to determine the damage ratio of the buildings and its distribution in different earthquake scenarios; and to estimate the casualty in the UPLB’s community; as well as to validate the earthquake model with historical earthquakes in the Philippines. Data preparation included the earthquake scenario model using shallow crustal shaking attenuation to produce an intensity map on the bedrock and the surface after site coefficient correction. The earthquake model in different scenarios is generated from the West Valley Fault (with Segment IV as the assumed locus). The damage ratio in different types of buildings was calculated using fragility curves of buildings of the Philippines. Population data of each building in different occupancy times, damage ratios, and injury ratios is used to compute the number of the injured due to an earthquake. The results reveal that UPLB’s building are subject to intensity range of MMI (Modified Mercalli Intensity) 6.7-8.1 due to 6.1-7.7 Mw earthquake coming from different sources along the West Valley Fault. The worst event of an earthquake is 7.7 Mw from Segment IV, which can cause 32-51% damage to buildings and injure 12-24.6% of a building population in a daytime (2 PM) event and injure 8-158 students in a dormitory at 2 AM (nighttime). The validation process shows that the mean square error between the calculated intensity and the actual intensity in the Philippines is 0.35.
Key words: damage prediction, earthquake, earthquake loss scenario, GIS, UPLB
The safety of a university is the most pressing need for students, lecturers, and university members. Universities have several types of buildings with different purposes (academic, services, administrative, and dormitory), some of which become more vulnerable compared to other buildings when an earthquake occurs. The Philippines experiences many destructive earthquakes in various parts of the country. One of the most remembered earthquakes is the 1990 Central Luzon earthquake with magnitude of Ms = 7.8 (Kojima et al. 1992; Wieczorek et al. 1992). Therefore, studying earthquake damage prediction in several scenarios becomes necessary to decrease the vulnerability and increase the capacity of the community in the future. . . . . . read more
AGUIRRE JJC. 2013. Probabilistic Seismic Hazard Analysis of Laguna, Philippines. [Unpublished Undergraduate Thesis]. Department Of Civil Engineering, College Of Engineering And Agro-Industrial Technology, Laguna: University Of The Philippines – Los Baños. 105p.
AKIN MK, STEVEN LK, TAMER T. 2011. Empirical correlations of shear wave velocity (Vs) and penetration resistance (SPT-N) for different soils in an earthquake-prone area (Erbaa-Turkey). Engineering Geology 119(1-2): 1-17.
ALLEN TI, WALD DJ, WORDEN CB. 2012. Intensity attenuation for active crustal regions. J Seismol 16(3): 409-433.
ARELLANO CRP. 2016. Earthquake Loss Estimation For Buildings Of UPLB. [Unpublished Undergraduate Thesis], Department Of Civil Engineering, College Of Engineering And Agro-Industrial Technology, Laguna: University Of The Philippines – Los Baños. 21p.
ASCE/SEI 7-10. 2010. Minimum Design Loads for Buildings and Other Structures. Virginia: American Society of Civil Engineers.
ATKINSON GM, WALD DJ. 2007. "Did You Feel It?" intensity data: a surprisingly good measure of earthquake ground motion. Seism Res Lett 78(3): 362-368.
BAUTISTA MLP, OIKE K. 2000. Estimation of the magnitudes and epicenters of Philippine historical earthquakes. Tectonophysics 317(1-2): 137-169.
BESANA GM, ANDO M. 2005. The central Philippine Fault Zone: Location of Great Earthquakes, Slow Events and Creep Activity. Earth Planets Space 57(10): 987-994.
BOOTH ED, CHANDLER AM, WONG PKC, COBURN AW. 1991. The Luzon, Philippines Earthquake Of 16 July 1990, A Field Report EEFIT. London: Earthquake Engineering Field Investigation Team Institution of Structural Engineer. 15p.
CANTOS NHC. 2015. Seismic Risk Assessment Of Uplb Buildings. [Unpublished Undergraduate Thesis], Department Of Civil Engineering, College Of Engineering And Agro-Industrial Technology, Laguna: University Of The Philippines – Los Baños. 50p.
[CDC] Centers for Disease Control and Prevention. 1990. International notes earthquake disaster - Luzon, Philippines. Retrieved from http://www.cdc.gov/mmwr/preview/mmwrhtml/00001734.htm on 31 Aug 2016.
CINICIOGLU SF, BOZBEY I, OZTOPRAK S, KELESOGLU MK. 2007. An integrated earthquake damage assessment methodology and its application for two districts in Istanbul, Turkey. Engineering Geology 94(3-4): 145-165.
COBURN A, SPENCE R. 2002. Earthquake Protection. 2nd Edition. West Sussex: John Wiley & Sons Ltd.
DOWRICK DJ, RHOADES DA. 2005. Revised models for attenuation of Modified Mercalli Intensity in New Zealand earthquakes. New Zealand Sociaty of Earthquake Engineering 38(4): 185-214.
FABBROCINO S, LANZANO G, FORTE G, MAGISTRIS FS, FABBROCINO G. 2015. SPT blow count vs. shear wave velocity relationship in the structurally complex formations of the Molise Region (Italy). Engineering Geology 187: 84-97.
[FEMA] Federal Emergency Management Agency. 2010. Multi-hazard Loss estimation Methodology, Earthquake Model (HAZUS-MH). User Manual, Washington, D.C: Department of Homeland Security Emergency Preparedness and Response Directorate. 9-40p
GALGANA G, HAMBURGER M, MCCAFFREY R, CORPUZ E, CHEN Q. 2007. Analysis of Crustal Deformation in Luzon, Philippines using Geodetic Observations and Earthquake Focal Mechanisms. Tectonophysics 432(1-4): 63-87.
HASHEMI M, ALESHEIKH AA. 2011. A GIS-based Earthquake Damage Assessment and Settlement Methodology. Soil Dynamics and Earthquake Engineering 31(11): 1607-17.
HAYES DE, LEWIS SD. 1985. Structure and Tectonics of The Manila Trench System, Western Luzon, Philippines. Energy 10(3-4): 263-279.
KARIMZADEH S, MIYAJIMA M, HASSANZADEH R, AMIRASLANZADEH R, KAMEL B. 2014. A GIS-based Seismic Hazard, Building Vulnerability and Human Loss Assessment for The Earthquake Scenario in Tabriz. Soil Dynamics and Earthquake Engineering 66: 263-280.
KOJIMA H, TOKIMATSU K, ABE A. 1992. Liquefaction-Induced Damage, and Geological and Geophyscal Condition During the 1990 Luzon Earthquake. Rotterdam: Earthquake Engineering, Tenth World Conference. p. 135-140 http://www.iitk.ac.in/nicee/wcee/article/10_vol1_135.pdf on 9 March 2017 (date of retrieval).
MIURA H, MIDORIKAWA S, FUJIMOTO K, PACHECO BM, YAMANAKA H. 2008. Earthquake damage estimation in Metro Manila, Philippines based on seismic performance of buildings evaluated by local experts’ judgments. Soil Dynamics and Earthquake Engineering 28(10-11): 764-777.
MOHAMED AME, HAFIEZ AHE, TAHA MA. 2013. Estimating the near-surface site response to mitigate earthquake disasters at the October 6th city, Egypt, using HVSR and seismic techniques. NRIAG Journal of Astronomy and Geophysics 2(1): 146-165.
[NBCP] National Building Code of the Philippines. 2004. National Building Code of the Philippines. Manila: Department of Public Work and Highway.
NELSON AR, PERSONIUS SF, RIMANDO RE, PUNONGBAYAN RS, TUNGOL N, MIRABUENO H, RASDAS A. 2000. Multiple large earthquakes in the past 1500 years on a fault in metropolitan Manila, the Philippines. Bulletin of the Seismological Society of America 90(1): 73-85.
NGUYEN PH, BUI QC, VU PH, PHAM TT. 2014. Scenario-based Tsunami Hazard Assessment for The Coast of Vietnam from The Manila Trench Source. Physics of the Earth and Planetary Interiors 236: 95-108.
OHMACHI T, NAKAMURA Y. 1992. Local Site Effect Detected by Microtremol Measurements on The Damage due to The 1990 Philippine Earthquake. Rotterdam: 10th World Conference on Earthquake Engineering. p. 997-1002. Retrieved from www.iitk.ac.in/nicee/wcee/article/10_vol2_997.pdf on 15 Mar 2017.
OKADA S, TAKAI N. 2000. Classifications Of Structural Types And Damage Patterns Of Buildings For Earthquake Field Investigation. Auckland: 12th World Conference on Earthquake Engineering. 0705. Retrieved from www.iitk.ac.in/nicee/wcee/article/0705.pdf on 13 Oct 2017.
PUNONGBAYAN RS, RIMANDO RE, DALIGDIG JA, BESANA GM, DAAG AS, NAKATA T, TSUTSUMI H. 2001. The 16 July 1990 Luzon Earthquake Ground Rupture. Manila: The July 16 Luzon Earthquake (A Technical Monograph). Retrieved from http://22.214.171.124/html/update_SOEPD/1990LuzonEQ_Monograph/pp001/pp001.html on 15 Mar 2017.
[PEPRMP] Programmatic Environmental Performance Report and Management Plan. 2014. Programmatic Environmental Performance Report and Management Plan. Los Banos: University of The Philippines, Los Banos.
RIMANDO RE, KNUEPFER PLK. 2006. Neotectonics of the Marikina Valley Fault System (MVFS) and Tectonic Framework of Structures in Northern and Central Luzon, Philippines. Tectonophysics 415 (1-4): 17-38.
ROWLETT H, KELLEHER JA. 1976. Evolving seismic and tectonic patterns along the Western margin of the Philippine Sea Plate. J. Geophys. Res. 81: 3518-24.
RUSYDY I, FAUSTINO-ESLAVA D V, MUKSIN U, GALLARDO-ZAFRA R, AGUIRRE J J C, BANTAYAN N C, ALAM L, DAKEY S. 2017. Building vulnerability and human loss assessment in different earthquake intensity and time: a case study of the University of the Philippines, Los Baños (UPLB) Campus. IOP Conf. Series. Banda Aceh: IOP Conf. Series: Earth and Environmental Science. doi:10.1088/1755-1315/56/1/012006.
RUSYDY I, JAMALUDDIN K, FATIMAH E, SYAFRIZAL S, ANDIKA F, FURUMOTO Y. 2017. Estimation of Site Amplifications from Shear-Wave Velocity at Pyroclastic Deposits and Basins in Aceh Tengah and Bener Meriah District, Aceh Province, Indonesia. International Journal of Disaster Management 1(1): 46-54.
TINGATINGA EAJ, PACHECO BM, HERNANDEZ JJY, IGNACIO UP, GERMAR FJ, LONGALONG REU, MATA WL, PASCUA MCL, SUIZA RM, TAN LRE. 2013. Development Of Heuristic Seismic Vulnerability Curves Of Key Building Types In The Philippines. 10CUEE CONFERENCE PROCEEDINGS. Tokyo: Tokyo Institute of Technology.
TORREGOSA RF, SUGITO M, NOBUOTO N. 2001. Strong Motion Simulation for the Philippines Based on Seismic Hazard Assessment. Journal of Natural Disaster Science 23(1): 35-51.
VALINO MQM. 2014. Rapid Visual Seismic Vulnerability Assessment of University of the Philippines Los Baños Lower Campus School and Administration Buildings of Selected Colleges. [Unpublished Undergraduate Thesis]. Department Of Civil Engineering, College of Engineering and Agro-Industrial Technology, Laguna: University of the Philippines, Los Baños. 46p.
WIECZOREK GF, NEWHALL CG, WENNERBERG LG. 1992. Faulting, Structural Damage, Liquefaction, And Landslides From The Luzon, Philippines Earthquake Of July 16, 1990: Slide Set And Bibliography. Menlo Park: USGS. Retrieved from https://pubs.usgs.gov/of/1992/0367a/report.pdf on 9 Mar 2017.