A comparison of social vulnerability indices specific to flooding in Ecuador: principal component analysis (PCA) and expert knowledge

Bucherie, Agathe; Hultquist, Carolynne; Adamo, Susana B.; Neely, Colleen; Ayala, Fernanda; Bazo, Juan; Kruczkiewicz, Andrew

doi:10.1016/j.ijdrr.2022.102897

Cited by 40 publications

(16 citation statements)

References 54 publications

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“…3). Based on the results of the rotated component matrix (Bucherie et al, 2022;Foody et al, 2004;Olden and Poff, 2003;Yang et al, 2008), 40 hydrologic indices were selected in the rst components. Therefore, 40 indices, the correlation coe cient was signi cant in 30 indices, the highest correlation coe cient was related to small ood rise rate, high ow frequency, small ood peak and Julylow ow with the value of 0.98 (α < 0.01) (Table 3).…”

Section: Discussionmentioning

confidence: 99%

Using Game Theory Algorithm to Identify Critical Watersheds based on Environmental Flow Components and Hydrological Indicators

Khiavi

Mostafazadeh

Talouki

2023

Preprint

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Improper use of water resources has caused significant changes in Natural River Flow (NRF), which indicates the need to assess changes in Hydrological Indicators (HI) and Environmental Flow Components (EFC). Therefore, the present study was conducted to identify critical watersheds using HI and EFC under the influence of the dam and without the impact of the dam using the Borda Scoring Algorithm (BSA) based on Game Theory (GT) in Nir-Chay, Balkhlou-Chay and Qareh-Sou Rivers as consequent stations in northern Iran. Indicators of Hydrological Alteration (IHA) software was used to quantify river flow indices. 26 HI and 21 EFC have been quantified and were used to identify critical watersheds. Principal Component Analysis (PCA) was used to determine the most significant indicators. After the data reduction, the initial matrix and comparative preferences of Game Theory (GT) were used, and the scores were assigned to watersheds based on Borda Scoring Algorithm (BSA). Based on the results, it can be said that in the Doost-Beiglou watershed, the small flood peak in the pre-dam period was 14.08, which was reduced to 3.5 in the post-dam period. The scoring of the studied watersheds based on HI and EFC GT theory showed that the watersheds affected by the dam with the scores of 216 and 174 were ranked first and were selected as the most critical watersheds in the study area. As a concluding remark, in the watersheds of Pol-e-Almas and Doost-Beiglou, which were affected by Yamchi and Sabalan dams, significant changes were observed in HI and EFCs. Therefore, in terms of NRF, Balkhlou-Chay and Qareh-Sou Rivers were categorized as critical conditions, which highlights the importance of these watersheds for managers and decision-makers in making optimal decisions.

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Section: Discussionmentioning

confidence: 99%

Using Game Theory Algorithm to Identify Critical Watersheds based on Environmental Flow Components and Hydrological Indicators

Khiavi

Mostafazadeh

Talouki

2023

Preprint

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“…On the other hand, the considered variables could not fully explain the spatial vulnerability pattern across the region and the weights of indicators identified by the PCA might not necessarily reflect the actual significance of a specific indicator to coastal flood vulnerability [42]. To address these shortcomings, one possible way could be to integrate PCA and an expert-judgement weighting approach by, e.g., analyzing PCA results and impact correlations with local planners and decision makers to derive more thorough weightings [92]. Discussion with stakeholders is also useful to obtain more updated information on the socioeconomic situation across the region of interest to continually improve the indicator-based system [42].…”

Section: Discussionmentioning

confidence: 99%

Assessing Coastal Flood Risk in a Changing Climate for Dublin, Ireland

Paranunzio

Guerrini

Dwyer³

et al. 2022

JMSE

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With increasing urban expansion and population growth, coastal urban areas will be increasingly affected by climate change impacts such as extreme storm events, sea level rise and coastal flooding. To address coastal inundation risk for impact studies, integrated approaches accounting for flood hazard modelling, exposure and vulnerability of human and environmental systems are crucial. In this study, we model the impacts of sea level rise on coastal inundation depth for County Dublin, the most extensively urbanized area in Ireland, for the current period and for 2100 under two Representative Concentration Pathways RCP 4.5 and 8.5. A risk-centred approach has been considered by linking the information on coastal flood-prone areas to the exposure of the urban environment, in terms of potential future land cover changes, and to the socioeconomic vulnerability of the population. The results suggest significant challenges for Dublin city and the surrounding coastal areas, with an increase of around 26% and 67% in the number of administrative units considered at very high risk by the end of the century under a RCP 4.5 and 8.5, respectively. This study aims to contribute to existing coastal inundation research undertaken for Ireland by (i) providing a first-level screening of flooding hazards in the study area, (ii) demonstrating how land cover changes and socioeconomic vulnerability can contribute to the level of experienced risk and (iii) informing local authorities and at-risk communities so as to support them in the development of plans for adaptation and resilience.

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“…This paper uses systematic literature review (SLR) for factor screening and combines principal component analysis (PCA) for factor selection by dimensionality reduction. The integrative review is the broadest type of research review method, which allows a comprehensive understanding about the phenomenon of concern [ 30 ]. Moreover, SLR can be applied to provide in-depth answers to specific questions from a multi-disciplinary perspective [ 30 , 31 ].…”

Section: Methodsmentioning

confidence: 99%

“…The integrative review is the broadest type of research review method, which allows a comprehensive understanding about the phenomenon of concern [ 30 ]. Moreover, SLR can be applied to provide in-depth answers to specific questions from a multi-disciplinary perspective [ 30 , 31 ]. PCA is commonly used to reduce the dimensionality of data by introducing uncorrelated variables to separate the mostly correlated variables into further dimensions, with the principal component explaining the most variance [ 32 , 33 ].…”

Section: Methodsmentioning

confidence: 99%

Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities—A Case Study of Nanjing, China

Cui

Liu

et al. 2022

IJERPH

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COVID-19 has posed a significantly severe impact on both people’s lives and the global economic development. Increasing the community epidemic resilience will considerably improve the national public health emergency response capacity from bottom to top. This study identifies the influencing factors of community epidemic resilience through systematic literature review under the 4R framework, then obtains the relationships of influencing factors through Interpretive structural model, and finally assesses the performance of epidemic resilience using PROMETHEE II method through empirical cases in Nanjing, China. The results show that: (1) Eight factors influencing the epidemic resilience of community are identified, and the economic level plays the root role; (2) Community epidemic resilience can be improved from robustness, rapidity, redundancy and resourcefulness aspects; (3) Through the empirical analysis, the epidemic resilience ranking of community can be displayed (Community D > T > S > F); (4) Additionally, the performance and sensitivity analysis of influencing factors in each community can be demonstrated. (5) Finally, four implications are proposed, namely, allocating public resources rationally, significantly increasing the economic level, ensuring the accuracy of information delivery and conducting disaster learning.

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A comparison of social vulnerability indices specific to flooding in Ecuador: principal component analysis (PCA) and expert knowledge

Cited by 40 publications

References 54 publications

Using Game Theory Algorithm to Identify Critical Watersheds based on Environmental Flow Components and Hydrological Indicators

Using Game Theory Algorithm to Identify Critical Watersheds based on Environmental Flow Components and Hydrological Indicators

Assessing Coastal Flood Risk in a Changing Climate for Dublin, Ireland

Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities—A Case Study of Nanjing, China

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