00000caa a22000003i 4500 UP-1685594773862388558 Buklod 20210318180516.0 m | | ta 210318s2018 xx r |||| u|eng d (iLib)UPBAG-00039513749 STII-DOST BAG rda eng ARTICLE-2743 Ybanez, Richard L author. Flood susceptibility assessment of mt. Makiling, Philippines using two-dimensional meteorological and hydrological modelling by Richard L. Ybañez, Bernard Alan B. Racoma, Audrei Anne B. Ybañez, and Maria Ines Rosana D. Balangue-Tarriela. 2018. pages 463-471 color illustrations, maps 26 cm text rdacontent unmediated rdamedia volume rdacarrier Includes bibliographical references (pages 470-471) In a data-poor, hazard-prone country like the Philippines, interpolating distant data points and computer modelling have become the go-to methods for determining the hazards that may affect an area. The absence of monitoring stations and gauges necessitates the application of modelling techniques to build on the little data available and generate reliable hazard maps. In this study ? the devastating Sep 2009 Tropical Cyclone Ketsana (local name: Ondoy) event, its atmospheric characteristics, and its effects near Mt. Makiling, Laguna ? is analyzed utilizing two modelling software: the Weather Research and Forecasting (WRF) model to assess the amount of rainfall, and FLO-2D to map the flood hazard areas around the volcano using the output of the WRF. A lone meteorological observation station on Mt. Makiling provided rainfall data for comparison with the results of the meteorological and hydrological models. The WRF model yielded a mean rainfall amount in the study area of 129.92 mm over 24 h for the storm against the observed rainfall amount for the same duration at 182.3 mm from the meteorological station. The flood model using the WRF data yielded minimal inundated areas, while the flood model of the observed rainfall data showed several low-lying urban areas inundated by up to 1.5 m of floodwaters. Comparison with flood data collected by responding agencies and groups after the event shows good correlation of affected areas and flood heights, with discrepancies being attributed to the swelling of Laguna de Bay because of excess runoff from other surrounding provinces ? a factor that the models could not consider. Despite this, the WRF model generated from global atmospheric data and the flood model using the WRF product appears as a feasible substitute in the absence of on-site observation points and monitoring stations. Geology. Computer modelling. Flooding. Hazzard mapping. Rainfall. Racoma, Bernard Alan B. author. Ybanez, Audrei Anne B. author. Balangue-Tarriela, Maria Ines Rosana D. author. The Philippine Journal of Science Vol. 147, no. 3, September 2018. Request full-text access via UPB University Library through https://forms.gle/KZjBv7aRtY6jiL5E9 (viewed 18 March 2021) FI UPBAG UPBAG-MAIN ARTICLE-2743 Analytics