Integrating and Applying Technology in Response to the Super Typhoon Bopha Disaster

Ross, M. P.; Santiago, Joy; Lagmay, A. M. F. A.

doi:10.1016/j.proeng.2015.06.063

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…They include global mean surface temperature, atmospheric greenhouse gas concentrations, ocean heat content, global sea level, ocean acidification, sea-ice extent and the mass balance of glaciers and ice sheets. Literature shows that extreme weather events [25][26][27][28][29][30], induced by the increase in temperature and the reduction of precipitation, increase the probability of the occurrence of disaster risks as hurricanes [31][32][33][34], typhoons [35], storms [36][37][38], floods [26,39,40], drought [41][42][43], landslides [44][45][46], fires [47,48], heat waves [49][50][51]. Climate change alters the level of danger, that is, the probability that a phenomenon occurs in a certain place with a certain intensity and in a certain time period.…”

Section: Risks and Related Measure On Climate Changementioning

confidence: 99%

A Method for the Definition of Local Vulnerability Domains to Climate Change and Relate Mapping. Two Case Studies in Southern Italy

et al. 2020

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Climate change is contributing to raising disaster risk, with variable impacts depending on the local level of vulnerability. This paper describes a method for the definition of local vulnerability domains to climate change. The application of the methodology is aimed at building local vulnerability maps. The set of indicators of climate exposure, sensitivity and adaptive capacity, theoretically identified and practically tested on two case studies in southern Italy, contributes to support the territories in identifying the main local vulnerabilities, as well as define, subsequently, a systematic framework for identifying the most suitable mitigation and adaptation measures to climate change according to the specificities of the contexts of interest. In this regard, we consider the framework of risks and related impacts due to climate change on urban infrastructure proposed by the European Commission in order to face common challenges in the EU territories. Specifically, reference is made to three thematic focuses, which are “transport infrastructures”, “energy infrastructures” and “buildings and construction sector”. Although still at an early stage, the results of the research contribute to identifying useful elements of interrelation with the urban context for guiding resilient planning choices and reducing risks.

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Section: Risks and Related Measure On Climate Changementioning

confidence: 99%

A Method for the Definition of Local Vulnerability Domains to Climate Change and Relate Mapping. Two Case Studies in Southern Italy

et al. 2020

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“…Its torrential rains generated massive debris flow in the Mayo River watershed in the Andap village in New Bataan municipality, causing some areas to be buried under a rubble as thick as 9 m and killing 566 people [60]. Moreover, it was also revealed that a storm surge with a height of approximately 1 m has reached a distance of 500 m inland away from the coastline [12]. Unfortunately, the government has no accounts in recording the flooded areas during the said event.…”

Section: Validationmentioning

confidence: 99%

Flood-Prone Area Assessment Using GIS-Based Multi-Criteria Analysis: A Case Study in Davao Oriental, Philippines

Cabrera

Lee

2019

Water

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Flooding is one of the major destructive natural disasters in Davao Oriental, Philippines, and results primarily from a high incidence of typhoons and heavy rainfalls. The main objective of this study was to identify flood-prone risk areas by mapping them based on the integration of multiple indicators, including rainfall, slope, elevation, drainage density, soil type, distance to the main channel and population density. For this purpose, a GIS-based flood risk spatial assessment was conducted by using analytic hierarchy process (AHP), weights by rank (WR) and ratio weighting (RW) frameworks to determine the relative importance of each indicator against another in the province of Davao Oriental. The resulting flood-prone areas by the three methods are validated by comparing with the estimated flood map based on ground truthing points from a field survey. The comparison results show that AHP is the most appropriate method among them to assess flood hazard. The result of the AHP flood risk map shows that 95.99% (5451.27 km2) of Davao Oriental is under low and moderate flood risk. The high and very high flood risk area covers approximately 3.39% (192.52 km2) of the province, primarily in the coastal areas. Thirty-one out of the one hundred eighty-three (31/183) barangays (towns) are at a high to very high risk of flooding at current climate, calling for the immediate attention of decision-makers to develop mitigation strategies for the future occurrence of flooding in Davao Oriental.

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Flood risk assessment for Davao Oriental in the Philippines using geographic information system‐based multi‐criteria analysis and the maximum entropy model

Cabrera

Lee

2020

J Flood Risk Management

111

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The assessments of flood‐prone areas and flood risk due to pluvial flooding for Davao Oriental on Mindanao Island in the Philippines were carried out by the analytic hierarchy process (AHP) and maximum entropy (Maxent) models using multiple criteria such as slope, elevation, soil type, rainfall, drainage density, distance to the main channel, and population density. Flood records from 70 survey points were obtained and used to verify the model results. The criteria weights of the top three important factors in the AHP are rainfall (42%), slope (23%), and elevation (15%), whereas those in the Maxent model are elevation (36%), rainfall (23%), and soil (19%). The verification results show that the accuracies of the AHP and Maxent model are 81 and 95.6%, respectively, indicating that both approaches are reliable in flood hazard and risk assessments. Approximately 22% of the total area and approximately 30% of the total population of Davao Oriental are classified as high risk of pluvial flooding in the current situation by the AHP method. This study shows a broad‐scale high‐level data‐driven screening method that can be used to help identify potential hot spots for pluvial flooding for which more detailed numerical modelling studies should be undertaken.

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Integrating and Applying Technology in Response to the Super Typhoon Bopha Disaster

Cited by 4 publications

References 5 publications

A Method for the Definition of Local Vulnerability Domains to Climate Change and Relate Mapping. Two Case Studies in Southern Italy

A Method for the Definition of Local Vulnerability Domains to Climate Change and Relate Mapping. Two Case Studies in Southern Italy

Flood-Prone Area Assessment Using GIS-Based Multi-Criteria Analysis: A Case Study in Davao Oriental, Philippines

Flood risk assessment for Davao Oriental in the Philippines using geographic information system‐based multi‐criteria analysis and the maximum entropy model

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