An assessment model for urban resilience based on the pressure-state-response framework and BP-GA neural network

Urban Climate, Год журнала: 2023, Номер 49, С. 101543 - 101543

Опубликована: Май 1, 2023

Язык: Английский

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Towards flood risk reduction: Commonalities and differences between urban flood resilience and risk based on a case study in the Pearl River Delta

International Journal of Disaster Risk Reduction, Год журнала: 2023, Номер 86, С. 103568 - 103568

Опубликована: Янв. 31, 2023

Язык: Английский

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A System Dynamics Model of Urban Rainstorm and Flood Resilience to Achieve the Sustainable Development Goals

Sustainable Cities and Society, Год журнала: 2023, Номер 96, С. 104631 - 104631

Опубликована: Май 5, 2023

Язык: Английский

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Flood risk perception and communication: The role of hazard proximity

Journal of Environmental Management, Год журнала: 2022, Номер 316, С. 115309 - 115309

Опубликована: Май 17, 2022

Язык: Английский

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Assessment of infrastructure resilience in multi-hazard regions: A case study of Khuzestan Province

International Journal of Disaster Risk Reduction, Год журнала: 2023, Номер 88, С. 103601 - 103601

Опубликована: Фев. 22, 2023

Язык: Английский

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Measurement of community resilience using the Baseline Resilience Indicator for Communities (BRIC) framework: A systematic review

International Journal of Disaster Risk Reduction, Год журнала: 2023, Номер 95, С. 103870 - 103870

Опубликована: Июль 18, 2023

Community resilience is an important concept in disaster prevention policy, as it hypothesised to mitigate the impacts of 'shocks' and facilitate adaptation reduce negative impact future adverse events. The field community measurement has developed recent years, with composite indices emerging a popular methodology. An initial scoping review identified Baseline Resilience Index for Communities (BRIC) most replicated quantitative method measuring resilience. A systematic was undertaken assess how BRIC methodology been used measure describes geographical locations, types communities which applied. quality assessed scored using OECD framework indicator development. 32 relevant papers. There variation number sub-domains, indicators, definition type 'shock'. median assessment score studies 60% (IQR 40–70%), no papers completed all recommended steps. Quality strengths data selection, weakness sensitivity analyses handling missing data. Measurement emergent there lack methodological consensus. Some model applied warranted necessary make adaptations local context. Improvement index construction could lead wider use these tools risk reduction.

Язык: Английский

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A comprehensive assessment model for livelihood vulnerability using fuzzy TOPSIS technique: A case of 2022 flood in Pakistan

International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер 103, С. 104351 - 104351

Опубликована: Фев. 21, 2024

Язык: Английский

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VulneraCity–drivers and dynamics of urban vulnerability based on a global systematic literature review

International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер 108, С. 104535 - 104535

Опубликована: Май 7, 2024

Globally, urban disaster risk is being affected by changing patterns of natural hazards due to climate change and rapid urbanization. While we have a relatively good understanding the hazard exposure in cities, know little about their vulnerability. In this study, investigate drivers dynamics vulnerability for six different conducting systematic literature review on peer-reviewed scientific literature. Out an initial set 3168 studies, included 462 studies in-depth analysis. We present VulneraCity, database, which record classify them based topic acquisition method. Overall, list 1460 unique 37.3% are empirically acquired source studies. Other either modeled (7.9%), theorized (22.9%), adopted (27.0%), or with unknown method (5.0%). Furthermore, relationships between impact often assumed be linear, but identify types directional - one-directional, bidirectional, transferable, asynergies, conditional, compound describe complexities these show that linearity assumption regularly violated. These results shed light necessary should taken into account assessments. VulneraCity can facilitate discussions local-scale analyses, could also provide input larger-scale comparative cities. recommend further research multi-hazard (instead multiple hazards') as next steps towards more comprehensive

Язык: Английский

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How much green roofs and rainwater harvesting systems can contribute to urban flood mitigation?

Urban Water Journal, Год журнала: 2022, Номер 20(2), С. 140 - 157

Опубликована: Дек. 27, 2022

Increased urbanization combined with the intensification of short rainfall events has worsened urban flood issue. Among different blue-green solutions to mitigate pluvial floods, green roofs (GR) and rainwater harvesting (RWH) have been investigated as sustainable systems reduce runoff from rooftops. Their mitigation capacity, however, estimated mostly at building-scale. Following need estimate discharge reduction large scale over entire cities, we simulated installation (extensive, intensive multilayer blue) GRs on flat RWH for sloped ones. Performances such were in selected representing climate regimes. Although building-scale showed higher retention cost-efficiency analysis highlights that large-scale tanks ensure lower costs, due rooftop distribution. The coupled system blue-GRs guarantees a 5% even during extreme events.

Язык: Английский

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A multi-criteria decision-making approach to vulnerability assessment of rural flooding in Khyber Pakhtunkhwa Province, Pakistan

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(19), С. 56786 - 56801

Опубликована: Март 16, 2023

Язык: Английский

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