Erratum to: 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/s11069-017-3006-0

Cited by 2 publications

(8 citation statements)

References 28 publications

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“…For example, in 2015, Accra experienced a cascade disaster of floods and fire, driven by both natural and human factors. Due to a cigarette dropped into flood water that had fuel on the surface, a state-owned gasoline station exploded, claiming the lives of 152 people and damaging properties worth millions of dollars (Quarshie et al, 2018;Yankson, Owusu, Owusu, Boakye-Danquah, & Tetteh, 2017).…”

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confidence: 99%

Current flood risk management practices in Ghana: Gaps and opportunities for improving resilience

Almoradie

Brito

Evers

et al. 2020

J Flood Risk Management

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This article evaluates the current gaps and describes opportunities for improving flood risk management (FRM) in Ghana, West Africa. A mixed-method participatory approach comprising questionnaires, workshops, interviews with key stakeholders, and a systematic literature review were employed. Existing problems, discourses, FRM practices, and opportunities to enhance flood resilience were identified. They provided the basis for outlining potential research directions into ways of tracking these challenges. The results show how different actors perceive FRM in Ghana. The stakeholders interviewed have different, and even contradictory perceptions of the effectiveness of FRM, which are embedded in their diverse storylines. The findings show that Ghana's FRM is still reactive rather than preventive and that research in the field of quantitative hazard and risk assessment is still rudimentary. FRM policies and flood early warning systems (FEWS) are in place, but efforts should be directed towards their implementation and monitoring, investigation of social and technical capacity aspects, and enhancement of institutions' mandates, and coordination. Moreover, the findings illustrate that FRM is moving toward a more constructive engagement of citizens and stakeholders. However, policies and action plans need to consider more inclusive community participation in planning and management to effectively improve their resilience and develop sustainable solutions.

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confidence: 99%

Current flood risk management practices in Ghana: Gaps and opportunities for improving resilience

Almoradie

Brito

Evers

et al. 2020

J Flood Risk Management

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“…Identification of building types and building representatives. A first step for developing a flood damage model is to assess building types within a region and select building representatives (Walliman et al, 2011;Maiwald and Schwarz, 2015). The assessment of building types can be carried out based on field surveys, expert surveys or remote sensing.…”

Section: Phase 2: Developing the Damage Gradesmentioning

confidence: 99%

“…Identification and grading of regional damage patterns. Flood damage to buildings can be generally categorized into three major parts, these include water penetration damage (moisture), chemical damage (pollution and contamination), and structural damage (Schwarz and Maiwald, 2007;Walliman et al, 2011). These three general damage categories can serve as a basis for developing further damage classification in regions where such damage assessment was not previously carried out.…”

Section: Phase 2: Developing the Damage Gradesmentioning

confidence: 99%

“…Several studies have re-emphasized the importance of identifying and understanding vulnerability indicators as a fundamental step in disaster risk reduction (e.g. UNISDR, 2015; Zimmermann and Keiler, 2015;Klein et al, 2019). Vulnerability indicators are based on aggregated variables to communicate the state of a system (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Flood damage models provide the basis for decision-making through multiple applications, such as cost-benefit analyses of mitigation measures (Thieken et al, 2005;Schröter et al, 2014), economic impact assessments (Jongman et al, 2012), planning and implementation of individual mitigation measures (Walliman et al, 2011), and flood risk mapping (Meyer et al, 2012). In general, developing flood damage models require clear communication of model parameters, e.g.…”

Section: Introductionmentioning

confidence: 99%

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A generic physical vulnerability model for floods: review and concept for data-scarce regions

Malgwi

Fuchs

Keiler

2020

Nat. Hazards Earth Syst. Sci.

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Abstract. The use of different methods for physical flood vulnerability assessment has evolved over time, from traditional single-parameter stage–damage curves to multi-parameter approaches such as multivariate or indicator-based models. However, despite the extensive implementation of these models in flood risk assessment globally, a considerable gap remains in their applicability to data-scarce regions. Considering that these regions are mostly areas with a limited capacity to cope with disasters, there is an essential need for assessing the physical vulnerability of the built environment and contributing to an improvement of flood risk reduction. To close this gap, we propose linking approaches with reduced data requirements, such as vulnerability indicators (integrating major damage drivers) and damage grades (integrating frequently observed damage patterns). First, we present a review of current studies of physical vulnerability indicators and flood damage models comprised of stage–damage curves and the multivariate methods that have been applied to predict damage grades. Second, we propose a new conceptual framework for assessing the physical vulnerability of buildings exposed to flood hazards that has been specifically tailored for use in data-scarce regions. This framework is operationalized in three steps: (i) developing a vulnerability index, (ii) identifying regional damage grades, and (iii) linking resulting index classes with damage patterns, utilizing a synthetic “what-if” analysis. The new framework is a first step for enhancing flood damage prediction to support risk reduction in data-scarce regions. It addresses selected gaps in the literature by extending the application of the vulnerability index for damage grade prediction through the use of a synthetic multi-parameter approach. The framework can be adapted to different data-scarce regions and allows for integrating possible modifications to damage drivers and damage grades.

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

Abstract: Due to an oversight during the editorial process, the first author's name was incorrectly given as William Kojo Paul Yankson instead of Paul William Kojo Yankson in the initial online publication of this article. The original article has been corrected.

Cited by 2 publications

References 28 publications

Current flood risk management practices in Ghana: Gaps and opportunities for improving resilience

Current flood risk management practices in Ghana: Gaps and opportunities for improving resilience

A generic physical vulnerability model for floods: review and concept for data-scarce regions

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