A capacity analysis framework for multi-hazard early warning in coastal communities

Haigh, Richard; Amaratunga, Rdg; Hemachandra, Kinkini

doi:10.1016/j.proeng.2018.01.147

Cited by 36 publications

(21 citation statements)

References 14 publications

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“…The study conducted a detailed literature review to develop its initial conceptual framework and desigining data collection instruments. The initial literature review and experts opinions were used to identify 15 enablers that affect effective functioning of MHEW and presented a capacity analysis framework for MHEW for coastal community resilience [14].…”

Section: Methodsmentioning

confidence: 99%

“…In order to reduce the impact of coastal hazards among coastal communities, global frameworks, policy makers and practitioners highlighted the importance of multi-hazard early warnings (MHEW) as an effective strategy to reduce disaster risks [13][14][15]. For example, the 7th target of the Sendai Framework for Disaster Risk Reduction (SFDRR) underlines the necessity of increasing availability of and access to MHEW, disaster risk information and assessments to people by 2030 [16].…”

Section: Introductionmentioning

confidence: 99%

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Regional Cooperation towards Effective Multi-Hazard Early Warnings in Asia

Hemachandra¹,

Haigh²,

Amaratunga³

2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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Due to the unprecedented rate of climate change, the number of coastal hazards have been significantly increased causing a large number of deaths and economic losses during the 21 st century. Hence, leading global initiatives emphasise the necessity of multi-hazard early warnings for effective disaster risk reduction and resilience across the world. Asia reported the largest share of deaths and economic losses from all type of natural hazards, showing gaps within their coping capacities and gaps in present preparedness measures. Multi-hazard early warnings play a significant role within present disaster risk reduction measures irrespective of disaster type. Regional cooperation in this effort could be further benefitted due to its ability of sharing knowledge and costs among member countries. Nevertheless, present situation of multi-hazard early warnings in Asia does not deliver its expected results due to many uncovered reasons. Hence, this paper is written with the objective of identifying enablers and barriers that affect effective multi-hazard early warnings in Asia. This paper is based on the findings of an initial stage of a project aimed at enhancing capacity building among Asian higher education institutions through capacity development programmes for an effective risk reduction and resilience mechanisms. Accordingly, the study conducted an online survey among experts in multi-hazard early warnings and found that, risk warnings, governance, awareness and education, preparedness culture and resources as the enablers for effective multi-hazard early warnings in Asia. The study also revealed that weak monitoring, weak preparedness and response capacities and weak regional and political support as the barriers for successful implementation.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Regional Cooperation towards Effective Multi-Hazard Early Warnings in Asia

Hemachandra¹,

Haigh²,

Amaratunga³

2019

Int. J. Adv. Sci. Eng. Inf. Technol.

Self Cite

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show abstract

“…Some of the proactive measures include rigorous risk assessments, enhanced early warning systems, awareness and coordination of actors. Early warning typically constitute multiple actors (such as national sectors, private sector, civil society and communities) playing different yet complementary roles in disaster risk management [10,11]. The success of an enhanced early warning system typically depends on the ability of multiple actors to share data/ information (i.e., data about past events, real-time streams etc.)…”

Section: Related Workmentioning

confidence: 99%

An Empirical Evaluation of Data Interoperability—A Case of the Disaster Management Sector in Uganda

Mazimwe

Hammouda

Gidudu

2019

IJGI

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One of the grand challenges of disaster management is for stakeholders to be able to discover, access, integrate and analyze task-appropriate disaster data together with their associated algorithms and work-flows. Even with a growing number of initiatives to publish disaster data using open principles, integration and reuse are still difficult due to existing interoperability barriers within datasets. Several frameworks for assessing data interoperability exist but do not generate best practice solutions to existing barriers based on the assessment they use. In this study, we assess disaster data interoperability in Uganda and identify generic solutions to interoperability challenges in the context of disaster data. Semi-structured interviews and focus group discussions were used to collect qualitative data from stakeholders in the disaster sector in Uganda. Data interoperability was measured to provide an understanding of interoperability in the disaster sector. Interoperability maturity is measured using qualitative methods, while data compatibility metrics are computed from identifiers in the RDF-triple model. Results indicate high syntactic and technical interoperability maturity for disaster data. On the contrary, there exists considerable semantic and legal interoperability barriers that hinder disaster data integration and reuse. A mapping of the interoperability challenges in the disaster management sector to solutions reveals a potential to reuse established patterns for managing interoperability. These include; the federated pattern, linked data patterns, broadcast pattern, rights and policy harmonization patterns, dissemination and awareness pattern, ontology design patterns among others. Thus a systematic approach to combining patterns is critical to managing data interoperability barriers among actors in the disaster management ecosystem.

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“…In the case of earthquakes, only a few countries have public alert distribution where the alerts are broadcast through multiple channels such as smartphones, while many earthquake-prone regions have limited alert distribution, some of which are still under construction [2]. Therefore, there is a need for cooperative strategies and frameworks to develop a multi-hazard early warning system in high-risk, lowcapacity countries [3].…”

Section: Introductionmentioning

confidence: 99%

Propose of Architecture Design for Early Warning System with Space and Terrestrial Infrastructure

Nishino¹

2021

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The purpose of this research is to design the architecture of an early warning system with Global Navigation Satellite System (GNSS) and terrestrial infrastructure for improving coverage of disaster information dissemination. In the proposed architecture, necessary segments and information flow are identified to introduce an early warning system to target areas which lack public alert distribution. It can be adapted worldwide by combining GNSS satellite and terrestrial infrastructure. At the beginning of a disaster, information will be sent from the agency via GNSS to widely used terrestrial infrastructure, such as sirens and public vehicles, thus allowing users to receive disaster information even when the ground network has been damaged. The effectiveness of the proposed architecture is examined in terms of redundancy, interoperability, and multi-hazard response by Geographic Information System (GIS) simulation using an open-source format data of public bus in a coastal area of Japan. Results show that the coverage of information dissemination is improved. Thus, the proposed architecture can be adapted to target areas as an early warning system.

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A capacity analysis framework for multi-hazard early warning in coastal communities

Cited by 36 publications

References 14 publications

Regional Cooperation towards Effective Multi-Hazard Early Warnings in Asia

Regional Cooperation towards Effective Multi-Hazard Early Warnings in Asia

An Empirical Evaluation of Data Interoperability—A Case of the Disaster Management Sector in Uganda

Propose of Architecture Design for Early Warning System with Space and Terrestrial Infrastructure

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