Marikina Flood Hazard Models Using Historical Data of Water Level
Elvira P. de Lara-Tuprio*, Evangeline P. Bautista, Reginaldo M. Marcelo,
Ramil T. Bataller, Divino Angelo B. Esteban, and Yvanne Paolo B. Yutuc
Mathematics Department, School of Science and Engineering,
Ateneo de Manila University, Loyola Heights, Quezon City 1108 Philippines
In this paper, ten-year historical data of water levels recorded at Sto. Niño, Marikina station of MMDA-EFCOS were analysed and processed to determine the number of times per year (annual frequency) that critical levels of the Marikina River near the Sto. Niño station were reached and for how long (duration). Probability distributions for the annual frequency and duration were then fitted to the samples obtained. Monte Carlo simulation was applied in order to generate possible realizations of the random variables. Summary statistics were then obtained from the simulated values. Finally, backtesting using historical data of water levels after the period of model development was performed to check the validity of the models. The results showed that the models obtained were reliable. The results of this study may be used to guide the local government of Marikina in planning the needed resources in order to sufficiently respond in times of flooding incidents.
Floods brought about by typhoons and thunderstorms are a perennial problem in Metro Manila, especially in low-lying areas like Marikina City. The problem may be considered as a combination of natural and manmade disasters. Damage to private and government properties, loss of lives, loss of livelihood, and disruption in social and economic activities are just some of the negative effects of flooding.
Marikina City is located in the eastern border of Metro Manila and bound on the west by Quezon City, on the south by Pasig and Cainta, on the east by Antipolo City, and on the north by San Mateo, Rizal. Marikina lies on what is known as the Marikina Valley, with the Sierra Madre to the east and the Quezon City hills to the east (Iglesias 2008). The Marikina River cuts across the mid-west portion of the city, while its tributary is on the north flowing slightly through San Mateo. . . . . . read more
ABON C, DAVID C, PELLEJERA, N. 2011. Reconstructing the Tropical Storm Ketsana flood event in Marikina River, Philippines. Hydrology and Earth System Sciences 15: 1283-89.
APEL H, BISÖCHL G, THIEKEN AH, MERZ B. 2006. A Probabilistic Modelling System for Assessing Flood Risks. Natural Hazards 38(1): 79-100.
BADILLA RA. 2008. Flood Modelling in Pasig-Marikina River Basin. [MS thesis]. Enschede, Netherlands: International Institute for Geo-information Science and Earth Observation. 73p. (Available at ITC library)
BORN P, MARTIN W. 2006. Catastrophe Modeling in the Classroom. Risk Management and Insurance Review 9(2): 219-229.
CARDONA O, HURTADO J, DUQUE G, MORENO A, CHARDON A, VELASQUEZ L, PRIETO S. 2003. The Notion of Disaster Risk. Conceptual Framework for Integrated Risk Management. IDB/IDEA Program on Indicators for Disaster Risk Management, Universidad Nacional de Colombia, Manizales. 38p. http://www.manizales.unal.edu.com.
CEZAR T. 2008. Country Water Action: Flood Ready Marikina City. Case study. Asian Development Bank.
FRANCISCO JPS. 2015. Property Damage Recovery and Coping Behavior of Households Affected by Extreme Flooding Events in Marikina City, Metro Manila, Philippines. Discussion Paper No. 2015-40. Philippine Institute for Development Studies.
GLASSERMAN P. 2004. Monte Carlo Methods in Financial Engineering: Springer. 599p.
GROSSI P, KUNREUTHER H. 2005. Catastrophe Modeling: A New Approach to Managing Risk. Boston: Springer. 266p.
IGLESIAS GR. 2008. Flood Disaster Mitigation and River Rehabilitation in Marikina City. Case study, Safer Cities 22: 1-8. Asian Disaster Preparedness Center.
JORION P. 2007. Value at Risk: The New Benchmarrk for Managing Financial Risk, 3rd Edition: McGraw-Hill. 602p.
KUNDU PM, MATHIVHA FI, NKUNA TR, ODIYO JO, SINGO LR. 2012. Flood Frequency Analysis of Annual Maximum Stream Flows for Luvuvhu River Catchment, Limpopo Province, South Africa. Conference paper in the 16th South America National Committee at the International Association of Hydrological Scientists (SANCIAHS) National Hydrology Symposium; 2012 October 1-3; Pretoria, South Africa: SANCIAHS.
MECHLER R and The Risk to Resilience Study Team. 2008. The Cost-Benefit Analysis Methodology. From Risk to Resilience Working Paper No. 1. ProVention Consortium, Institute for Social and Environmental Transition and Institute for Social and Environmental Transition-Nepal.
MECHLER R. 2005. Cost-benefit Analysis of Natural Disaster Risk Management in Developing Countries. Disaster Risk Management in Development Cooperation Sector Project. Deutsche Gellenschaft für Technische Zusammenarcht (GTZ) GmbH.
MICHEL-KERJAN E, HOCHRAINER-STIGLER S, KUNREUTHER H, LINNEROOTH-BAYER J, MECHLER R, , MUIR-WOOD R, RANGER N, VAZIR P, YOUNG M. 2013. Catastrophe Risk Models for Evaluating Disaster Risk Reduction Investments in Developing Countries. Risk Analysis 33(6): 984-998.
[NOAH] National Operational Assessment of Hazards. Ondoy (2009), Floods in Marikina City, Metro Manila, Disaster Timeline. Retrieved from http://blog.noah.dost.gov.ph.
PANJER H. 2006. Operational Risks, Modeling Analytics. John Wiley & Sons.
SATO T, NAKASU T. 2011. 2009 Typhoon Ondoy Flood Disasters in Metro Manila. Natural Disaster Research Report of the National Research Institute for Earth Science and Disaster Prevention 45: 63-74.
YU CZ, SAJOR EE. 2008. Urban Rehabilitation: A Case Study in Marikina City. Case study. Water Environment Partnership in Asia.