Mapping Socioeconomic Exposure for Flood Risk Assessment in Italy

Amadio, Mattia; Myšiak, Jaroslav; Marzi, Sepehr

doi:10.1111/risa.13212

Cited by 21 publications

(7 citation statements)

References 45 publications

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“…This can decrease the explanatory power of the index. In this context, besides PCA, the potential exists to apply dimensionality reduction techniques such as the t-distributed stochastic neighbor embedding (t-SNE; Anowar et al, 2021). A further is- sue is that the reason for variable selection was often not given, or it was justified based on previous studies, without taking into consideration the study area specificities or conceptual frameworks.…”

Section: Persisting Gaps and Future Researchmentioning

confidence: 99%

Review article: A systematic review and future prospects of flood vulnerability indices

Moreira

Brito

Kobiyama

2021

Nat. Hazards Earth Syst. Sci.

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Abstract. Despite the increasing body of research on flood vulnerability, a review of the methods used in the construction of vulnerability indices is still missing. Here, we address this gap by providing a state-of-art account on flood vulnerability indices, highlighting worldwide trends and future research directions. A total of 95 peer-reviewed articles published between 2002–2019 were systematically analyzed. An exponential rise in research effort is demonstrated, with 80 % of the articles being published since 2015. The majority of these studies (62.1 %) focused on the neighborhood followed by the city scale (14.7 %). Min–max normalization (30.5 %), equal weighting (24.2 %), and linear aggregation (80.0 %) were the most common methods. With regard to the indicators used, a focus was given to socioeconomic aspects (e.g., population density, illiteracy rate, and gender), whilst components associated with the citizen's coping and adaptive capacity were slightly covered. Gaps in current research include a lack of sensitivity and uncertainty analyses (present in only 9.5 % and 3.2 % of papers, respectively), inadequate or inexistent validation of the results (present in 13.7 % of the studies), lack of transparency regarding the rationale for weighting and indicator selection, and use of static approaches, disregarding temporal dynamics. We discuss the challenges associated with these findings for the assessment of flood vulnerability and provide a research agenda for attending to these gaps. Overall, we argue that future research should be more theoretically grounded while, at the same time, considering validation and the dynamic aspects of vulnerability.

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Section: Persisting Gaps and Future Researchmentioning

confidence: 99%

Review article: A systematic review and future prospects of flood vulnerability indices

Moreira

Brito

Kobiyama

2021

Nat. Hazards Earth Syst. Sci.

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“…Population and GDP data are important factors revealing social and economic development. They are important basis for flood prevention and risk assessment (Amadio, Mysiak, & Marzi, ). The greater the population and the better the economy, the more important for disaster prevention.…”

Section: Methodsmentioning

confidence: 99%

Optimizing distribution of droneports for emergency monitoring of flood disasters in China

Lü

Liu

Yue

et al. 2020

J Flood Risk Management

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Floods occur frequently, impacting large areas, displacing thousands of people and causing great losses. Unmanned Aerial Vehicle (UAV) remote sensing is easy to obtain high-resolution image that is immensely helpful to timely assess the flood situation and provide scientific decision-making for emergency rescue. The important roles of UAV remote sensing have been widely recognized. However, the sudden onset of floods and lack of UAV resources deployed nearby have restricted rapid response of UAVs in emergency rescue. A UAV remote sensing observation network on a regional scale has been proposed to deal with these emergencies. However, how to build this UAV network and where to deploy UAV resources are still mysterious. In this study, the Maximum Covering Location Problem (MCLP) model was improved to distribute a series number of droneports in China. Finally, 81 droneports were selected from 268 potential facility points, which covered 61.84% risk of total demand area. Droneports have been allocated near flood-prone areas and most floods in China can be monitored within 2 hours, which is critical for saving lives and reducing losses. The construction of UAV airport networks will surely contribute to an integrated disaster emergency observation system combining satellite, airplane, UAV, and ground observations in China. K E Y W O R D Sdroneports, facility location problem, flood rescue, UAV remote sensing observation network

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“…Note: OSM, Open Street Map; CLC, CORINE Land Cover 2012; ESDAC, European Soil Data Centre, COPERNICUS (before GMES Global Monitoring for Environment and Security) Earth Observation System. elements at risk code exposure indicators [unit] source Manufactured Capital MC1 Density of infrastructure (roads and railways) [m] OSM, 2016 MC2 Urban areas (CLC2012 class 1.1) including high-density build-up areas (1.500–50 000 inhabitants km −2 , CM2a) and build-up areas (300 inhabitants km −2 – 5000 inhabitants km −2 , CM2b) [m 2 ] COPERNICUS, CLC 2012, EUROSTAT MC3 Industrial areas (CLC2012 class 1.2) [m 2 ] CPERNICUS, CLC 2012 MC1–3 Impervious surfaces (high-resolution (10 m) layer HRL, 2012) [m 2 ] COPERNICUS, ISPRA Natural Capital NC1 Forest areas (CLC2012 class 3.1) [m 2 ] COPERNICUS, CLC 2012 NC2 Natural Protected Areas (NPAs), including NATURA 2000 sites, national and regional protected areas [m 2 ] EEA, 2016 NC3 Soil erodibility ESDAC Social Capital SC1 PD based on census data (2011, 250 m grid) [inhabitants/km 2 ] Based on own work and described in [ 62 ] SC2 Structural dependency index Economic Capital EC1 Gross Added Value—agriculture EC2 Gross Added Value—industry …”

Section: Methodsmentioning

confidence: 99%

Climate risk index for Italy

Myšiak¹,

Torresan²,

Bosello³

et al. 2018

Phil. Trans. R. Soc. A.

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We describe a climate risk index that has been developed to inform national climate adaptation planning in Italy and that is further elaborated in this paper. The index supports national authorities in designing adaptation policies and plans, guides the initial problem formulation phase, and identifies administrative areas with higher propensity to being adversely affected by climate change. The index combines (i) climate change-amplified hazards; (ii) high-resolution indicators of exposure of chosen economic, social, natural and built- or manufactured capital (MC) assets and (iii) vulnerability, which comprises both present sensitivity to climate-induced hazards and adaptive capacity. We use standardized anomalies of selected extreme climate indices derived from high-resolution regional climate model simulations of the EURO-CORDEX initiative as proxies of climate change-altered weather and climate-related hazards. The exposure and sensitivity assessment is based on indicators of manufactured, natural, social and economic capital assets exposed to and adversely affected by climate-related hazards. The MC refers to material goods or fixed assets which support the production process (e.g. industrial machines and buildings); Natural Capital comprises natural resources and processes (renewable and non-renewable) producing goods and services for well-being; Social Capital (SC) addressed factors at the individual (people's health, knowledge, skills) and collective (institutional) level (e.g. families, communities, organizations and schools); and Economic Capital (EC) includes owned and traded goods and services. The results of the climate risk analysis are used to rank the subnational administrative and statistical units according to the climate risk challenges, and possibly for financial resource allocation for climate adaptation.This article is part of the theme issue ‘Advances in risk assessment for climate change adaptation policy’.

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Mapping Socioeconomic Exposure for Flood Risk Assessment in Italy

Cited by 21 publications

References 45 publications

Review article: A systematic review and future prospects of flood vulnerability indices

Review article: A systematic review and future prospects of flood vulnerability indices

Optimizing distribution of droneports for emergency monitoring of flood disasters in China

Climate risk index for Italy

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