A5030114240- Seismology and Earthquake Studies
- Disaster Management and Resilience
- Public Relations and Crisis Communication
- Seismic Waves and Analysis
- Earthquake Detection and Analysis
- Climate Change, Adaptation, Migration
- Knowledge Management and Technology
- Anomaly Detection Techniques and Applications
- Personal Information Management and User Behavior
- Evacuation and Crowd Dynamics
- Regional resilience and development
- Innovative Human-Technology Interaction
- Island Studies and Pacific Affairs
- Geophysics and Sensor Technology
- Philippine History and Culture
- Customer Service Quality and Loyalty
- Meteorological Phenomena and Simulations
- Data-Driven Disease Surveillance
- Technology Adoption and User Behaviour
- demographic modeling and climate adaptation
- Time Series Analysis and Forecasting
- Flood Risk Assessment and Management
- Fire effects on ecosystems
- Geographic Information Systems Studies
- Agricultural risk and resilience
Massey University
2017-2024
Ateneo de Manila University
2016-2017
Australian National University
2017
Earthquake Early Warning (EEW) systems are used to detect earthquakes and provide advanced notice of strong shaking intensity, allowing people take pre-emptive actions that benefit the health infrastructure life-safety public. With advancement technical research EEWs, there is also an increasing need understand EEW's potential impacts on society. In this study, we investigated perspectives various sectors in Aotearoa New Zealand EEW. We focus groups interviews with multiple sectors,...
This paper presents findings from ongoing research that explores the ability to use Micro-Electromechanical Systems (MEMS)-based technologies and various digital communication protocols for earthquake early warning (EEW). The proposes a step-by-step guide developing unique EEW network architecture driven by Software-Defined Wide Area Network (SD-WAN)-based hole-punching technology consisting of MEMS-based, low-cost accelerometers hosted general public. In contrast with most centralised...
Abstract The public has access to a range of mobile applications (apps) for disasters. However, there been limited academic research conducted on disaster apps and how the perceives their usability. This study explores end-users’ perceptions usability apps. It proposes conceptual framework based insights gathered from thematically analyzing online reviews. identifies new concerns particular apps’ use: (1) content relevance depends app’s purpose proximate significance information hazard...
Several mobile applications (apps) targeted for use by the public during disasters already exist. A large amount of research has been conducted to investigate functionalities these apps in aiding disasters; however, only a few studies have investigated apps' usability context crises. In acute situations, seemingly minor issues can become critical concerns. This study develops guidelines app designers and researchers using an iterative design process. The proposed consider concerns raised...
"Enhancing the Value of Weather and Climate Services in Society: Identified Gaps Needs as Outcomes First WMO WWRP/SERA Society Conference" published on 17 Mar 2023 by American Meteorological Society.
Earthquake early warning system (EEWS) plays an important role in detecting ground shaking during earthquake and alerting the public authorities to take appropriate safety measures, reducing possible damages lives property. However, cost of high-end motion sensors makes most earthquake-prone countries unable afford EEWS. Low-cost Microelectromechanical systems (MEMS)-based are becoming a promising solution for constructing affordable yet reliable robust This paper contributes advancing (EEW)...
Introduction Aotearoa New Zealand (NZ) experiences frequent earthquakes, with a history of damaging and fatal events, but currently does not have national, official earthquake early warning (EEW) system. Since April 2021, Google's Android Earthquake Alert System has operated independently in NZ. While recent work identified general public support for such system, it is important to assess knowledge EEW as well typical responses receiving an alert. The protective actions “Drop, cover, hold”...
Abstract This study addresses the critical question of predicting amplitude S-waves during earthquakes in Aotearoa New Zealand (NZ), a highly earthquake-prone region, for implementing an Earthquake Early Warning System (EEWS). research uses ground motion parameters from comprehensive dataset comprising historical Canterbury region NZ. It explores potential to estimate damaging S-wave before it arrives, primarily focusing on initial P-wave signals. The establishes nine linear regression...
Typhoon Haiyan struck the Philippines on 8 November 2013 with maximum sustained winds of 235 kilometres per hour, adversely affecting at least 11 million people and displacing some 673,000 in central regions country. The disaster clearly overwhelmed Philippine government despite its seemingly well‐crafted management plan. Using timelines different organisations, this paper identifies gaps government's response, mainly due to failure coordinating managing relief operations, which affected...
Abstract At 2.27 a.m., on 5 March 2021, an Mw 7.3 earthquake occurred approximately 100 km off the East Cape of North Island Aotearoa New Zealand. This was felt across entire country, including in capital city Wellington and surrounding region. Previous work reports varied levels tsunami evacuation behavior for natural warnings from shaking. To further explore this behavior, we surveyed residents region about their decisions following earthquake, motivations evacuating or not evacuating,...
Can a P-wave detection algorithm enhance the performance of an Earthquake Early Warning System (EEWS), particularly in community-engaged networks low-cost ground motion sensors susceptible to noise? If so, what would perform best? This study analyses four different algorithms using (EEW) network. The data from 48-hour time window around M5.8 earthquake on 22 September 2022 were used as basis for this case study, where false and missed detections analysed each algorithm. results indicate that...
Preparing and delivering warnings to the public involves a chain of processes spanning different organizations stakeholders from numerous disciplines. At each stage this warning chain, relevant groups apply their expertise, but sharing information transmission data between is often imperfect. In diverse research fields, citizen science has been valuable in filling gaps through contributing local data. However, there limited understanding science's role bridging value chain. Citizen projects...
Earthquake-related behaviors in Mexico and Japan have highlighted the need to better understand responses demanding alerting scenarios. Both countries appear benefitted from an established early earthquake warning system for several years. However, recent alert documented these settings been unlikely protect residents death or severe injury. This represents a gap between investments effectiveness which, among other implications, could result very large numbers of avoidable injuries even...
Purpose Climate vulnerability assessments are often operationalized by the analysis of indicators defined spatial boundaries community under study. These, however, sometimes fail to capture interdependency among communities for basic resources. This paper aims propose a framework characterizing caused adapting supply chain lens. Design/methodology/approach The proposes definition “indirect vulnerability” that recognizes transboundary and teleconnected nature arising from resource networks...
<title>Abstract</title> This study addresses the critical question of predicting amplitude S-waves during earthquakes in Aotearoa New Zealand (NZ), a highly earthquake-prone region, for implementing an Earthquake Early Warning System (EEWS). research uses ground motion parameters from comprehensive dataset comprising historical Canterbury region NZ. It explores potential to estimate damaging S-wave before it arrives, primarily focusing on initial P-wave signals. The establishes nine linear...
Is running the Propagation of Local Undamped Motion (PLUM) algorithm in a community-engaged earthquake early warning (EEW) network feasible, and can it function effectively at node level without centralised processing units? This study investigates practicality deploying PLUM within node-level architecture, shifting away from traditional seismic data methods. The uses cost-effective MEMS-based seismographs to decentralise EEW. preliminary phase research included deployment sensors...