
Maricar Rabonza- PhD Candidate
- PhD Student at Nanyang Technological University
Maricar Rabonza
- PhD Candidate
- PhD Student at Nanyang Technological University
About
15
Publications
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54
Citations
Introduction
Dynamic risk modelling of cities
https://disaster-analytics.com/team/maricar-rabonza/
---Topics of interest:---
(1) Modelling impacts of DRM policy decisions on disaster risk
(2) Counterfactual probabilistic risk analysis;
(3) Urban growth modelling;
(4) Earthquake, volcano, flood, landslide hazards;
(5) Model calibration of spatial models
Current institution
Additional affiliations
May 2013 - June 2018
UP Resilience Institute / UP NOAH (Nationwide Operational Assessment of Hazards)
Position
- Senior Researcher
Description
- Remote sensing • Spatial analysis with GIS • Use of statistics for hazard modelling and risk assessment • Impacts of severe weather events on community resilience • Probabilistic hazard modelling
Education
August 2018 - May 2023
January 2015 - June 2018
University of the Philippines Diliman
Field of study
- Civil Engineering
June 2008 - April 2013
Publications
Publications (15)
This is a contributing paper to the UN Office for Disaster Risk Reduction Global Assessment Report 2022.
Also downloadable at: https://hdl.handle.net/10356/153502
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The goal of Disaster Risk Management (DRM) is to ensure that society continues to function, thrive, and recover quickly despite shocks arising from natural or human ac...
In the aftermath of a disaster, news and research attention is focused almost entirely on catastrophic narratives and the various drivers that may have led to the disaster. Learning from failure is essential to preventing future disasters. However, hyperfixation on the catastrophe obscures potential successes at the local scale, which could serve a...
While thousands of lives are saved through effective earthquake risk reduction programs, very few opportunities exist to celebrate such successes. First, if the tangible benefits of such interventions are only felt in the advent of a large earthquake, there is often a large time-delay between the intervention and its benefits. Second, large earthqu...
This is an exploration of the predictive performance of a tephra depth inversion model using spatial statistics. The inversion model estimates the best eruption source parameters of an observed tephra deposit using nonlinear optimisation. The optimisation performs regression with an assumption that observed points are independent of each other. The...
The typical process of engineering risk analysis assumes a static state of vulnerability through the lifespan of the structure. However many civil engineering systems change states over time causing significant impact on their vulnerability. Such dynamic changes may involve an increase in vulnerability driven by deterioration processes (e.g. corros...
The seismic risk of cities is constantly changing as cities themselves evolve in time. Key to making informed policy decisions to promote resilient cities is the ability to futurecast the risk of cities based on such potential policy decisions. This work demonstrates a flexible stochastic framework for analysing the potential seismic risk trajector...
The handbook serves academic institutions as a reference work for formulating a DRRM action plan in a school or university campus setting, including the communities that may be located inside the campus. Containing the basic principles of the most important areas of DRRM and the guidelines for taking action, it is expected to provide a ready refere...
Super typhoon Haiyan, considered as one of the most powerful storms recorded in 2013, devastated the central Philippines region on 8 November 2013 with damage amounting to more than USD 2 billion. Hardest hit is the province of Leyte which is located in central Philippines. Rehabilitation of the areas that were devastated requires detailed hazard m...
When Super Typhoon Haiyan struck the Philippines in November 2013, the province of Leyte was among the most heavily damaged. Detailed hazard susceptibility maps for Leyte–including storm surge, flood, and landslide hazard maps–that could have mitigated the damage by providing crucial information on possible hazards and their extent were not availab...
When Super Typhoon Haiyan struck the Philippines in November 2013, the province of Leyte was among the most heavily damaged. Detailed hazard susceptibility maps for Leyte-including storm surge, flood, and landslide hazard maps-that could have mitigated the damage by providing crucial information on possible hazards and their extent were not availab...
Due to the tectonic environment and tropical climate in the Philippines, both rain-induced and seismic-induced landslides are common in the country. Numerous hazard mapping activities are regularly conducted by both academic and government institutions using various tools and software. One such software is Stability Index Mapping (SINMAP), a terrai...
Among the deadliest calamities that plagued the Philippines were the landslide and flooding caused by consecutive tropical storms Mufia, Merbok, Winnie, and Nanmadol in Infanta, Quezon (2004), Typhoon Reming in Guinsaugon, Leyte (2006) and Typhoon Pepeng in Pangasinan (2009). In Quezon alone, the number of death and missing exceeded 1600, and the c...
The tailing earth dams in Masbate Gold Tailings Storage Facility is located in a seismically active zone in the Philippines. To study the seismic performance of nine (9) of the dams in the site, this study aims to review and perform three published methods in calculating earthquake-induced seismic deformations of embankments namely: (1) Newmark Rig...