Assessment of coastal communities’ vulnerability to floods using indicator-based approach: a case study of Greater Accra Metropolitan Area, Ghana

Yankson, P.W.K.; Owusu, Alex Barimah; Owusu, George; Boakye-Danquah, John; Tetteh, Jacob Doku

doi:10.1007/s11069-017-2985-1

Cited by 38 publications

(23 citation statements)

References 25 publications

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“…Setiyono (1996) states that erosion is the process of coastal material removal by the destructive force of sea waves and currents. Similar phenomena are also explained by Mahapatra (2015), Fitton et al (2016), Merlotto et al (2016), Ghosh (2017), Yankson et al (2017), Bevacqua et al (2018), Chang et al (2018), and Onat et al (2018). Breaking waves are also able to transport or move loose materials on the shoreline into the sea, generating an abrasion process (Sutikno 1999, Wesli et al 2013, Widianto, Damen 2014.…”

Section: Introductionmentioning

confidence: 84%

The Socioeconomic Vulnerability of Coastal Communities to Abrasion In Samas, Bantul Regency, Indonesia

Choirunnisa

Giyarsih

2018

Quaestiones Geographicae

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This research was conducted in Srigading and Gadingsari Villages, Samas District, Bantul Regency, the Special Region of Yogyakarta. Both of these villages were selected as the study area because of their high vulnerability to coastal erosion. This research aimed to analyse the physical, social, and economic vulnerability and the capacity of communities in both villages to deal with erosion in Samas Coast using primary and secondary database. According to the results of the physical and socioeconomic scenarios, Srigading has a high vulnerability level, whereas Gadingsari has a low vulnerability level. Meanwhile, the equal scenario results in the same spatial distribution of vulnerability as the aforementioned scenarios. This research also finds that the capacity, which was based on knowledge of coastal erosion and its risk reduction measures, is categorized as medium. This capacity level is shaped by the constantly improved preparedness as communities experience coastal erosions directly.

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Section: Introductionmentioning

confidence: 84%

The Socioeconomic Vulnerability of Coastal Communities to Abrasion In Samas, Bantul Regency, Indonesia

Choirunnisa

Giyarsih

2018

Quaestiones Geographicae

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“…The hazard indicators related to coastlines are: geomorphology, erosion rate, sediment budget [55,59], coastal slope, as well as elevation and distance to the sea [56,57,58]. In addition, the indicators of coastal storm hazards are: storm waves effects [55], distance to sea [56,58], relative sea-level rise, mean tidal range, mean significant wave height [57], depth and extent of inundation and overwash [59], highest storm surge level, exceeding value of warning water level, and average slope of the storm surge landfall position [61]. Finally, hazard indicators could be even more specifically constructed, such as indicators of shoreline (the previous high tide high-water level, the wet/dry line or run-up maxima) [60].…”

Section: Coastal Riskmentioning

confidence: 99%

“…On the other hand, the vulnerability indicators are social and demographic [55 -58], related to building and tax assessment [58], land use and cover [55,58], artificial beach nourishment and beach control structures [57], and finally experience and perception of risk, as well as the household and communal risk adaptation strategy [56].…”

Section: Coastal Riskmentioning

confidence: 99%

Indicators in risk management: Are they a user-friendly interface between natural hazards and societal responses? Challenges and opportunities after UN Sendai conference in 2015

Ivčević

Mazurek

Siamé

et al. 2019

International Journal of Disaster Risk Reduction

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Risk management indicators are used to mitigate the potentially dramatic effects of natural hazards. Local authorities and managers use them in elaborating rescue and urbanism plans, which do not always work, highlighting society's vulnerability in the particular context of global environmental and climate changes. Within this context, the United Nations (Sendai, 2015) advised to construct a series of indicators to better cope with human losses and economic disasters. Actually, the question is whether or not such indicators do constitute successful decision-making tools. In this article, we critically reviewed the recent literature (from 2013 to 2017) using the Web of Science database of Clarivate Analytics to assess how indicators are currently being constructed in risk management, with a focus on risks of inundations, coastal and seismic risks. This task allowed us to discuss the spatial and temporal scale at which indicators of risk management can be applicable, to what extent they should be physically oriented and if they can fit the needs of governance framework. Based on our findings, we suggest further work on a new series of less descriptive, more dynamic and more user-friendly indicators. Finally, we encourage the dire need for continuous work to overcome the misinterpretation of used indicators and how to reduce the communication gap between the scientific community, decision makers, managers and the population.

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“…Thus, Eq. (5) can be modified according to some previous studies 27–29 as follows:where PI = α 6 E + α 7 S , and Eq. (6) can be modified by following the selected previous studies 30–32 as:where PI = E β 6 × S β 7 .…”

Section: Conventional Framework Of Vulnerability Indicatorsmentioning

confidence: 99%

Assessment of Aggregation Frameworks for Composite Indicators in Measuring Flood Vulnerability to Climate Change

Choi

2019

Sci Rep

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The IPCC Third Assessment Report presents a conceptual framework for vulnerability to climate change with the three attribute components of exposure, sensitivity, and coping. Since the vulnerability assessments have been conducted mainly by the composite indicators aggregated from the IPCC’s components, it is necessary to assess aggregation frameworks for constructing the composite indicators that have an influence on vulnerability assessment outcomes. This study therefore investigates the robustness of assessment outcomes for flood vulnerability to climate change through a comparative analysis of the six vulnerability indicators aggregated from the IPCC’s components by the conventional aggregation frameworks. The comparative analysis has been illustrated through both the possible combinations of reference values for vulnerability attribute components and a case study on the flood vulnerability assessment to climate change for coastal areas in the Republic of Korea. The study demonstrates that there can be large fluctuations and reversals in ranking orders across the six vulnerability outcomes by different aggregation frameworks. It concludes that for flood vulnerability assessment to climate change in coastal areas, the vulnerability indicator needs to be aggregated by a multiplicative utility function from all the three assessment components with positive elasticity to vulnerability.

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Assessment of coastal communities’ vulnerability to floods using indicator-based approach: a case study of Greater Accra Metropolitan Area, Ghana

Cited by 38 publications

References 25 publications

The Socioeconomic Vulnerability of Coastal Communities to Abrasion In Samas, Bantul Regency, Indonesia

The Socioeconomic Vulnerability of Coastal Communities to Abrasion In Samas, Bantul Regency, Indonesia

Indicators in risk management: Are they a user-friendly interface between natural hazards and societal responses? Challenges and opportunities after UN Sendai conference in 2015

Assessment of Aggregation Frameworks for Composite Indicators in Measuring Flood Vulnerability to Climate Change

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