Analysing flash flood risk perception through a geostatistical approach in the village of Navaluenga, Central Spain

Guardiola‐Albert, Carolina; Díez‐Herrero, Andrés; Amérigo, María José Pou; Pozo, José María Bodoque del; García, Juan A.; Naranjo‐Fernández, Nuria; Aroca‐Jiménez, Estefanía

doi:10.1111/jfr3.12590

Cited by 13 publications

(4 citation statements)

References 47 publications

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“…Despite its importance, only three (3.2 %) of the reviewed papers performed uncertainty analysis. Nazeer and Bork (2019) observed variations in the final results that changed input variables, and Feizizadeh and Kienberger (2017) and Guo et al (2014) applied a Monte Carlo simulation and set pair analysis, respectively.…”

Section: Uncertainty Sensitivity and Validationmentioning

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: Uncertainty Sensitivity and Validationmentioning

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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“…In this way, the approach can support decision-making. We thus offer these results as a springboard to support policy-makers, local authorities and civil protection in planning medium- and long-term actions to reduce hydrological disasters [ 105 – 106 ]. As rainfall erosivity is projected to increase by at least 35% globally by 2070 [ 107 ], the probability of hydrological hazards will also show similar trends.…”

Section: Discussionmentioning

confidence: 99%

Global assessment of storm disaster-prone areas

Diodato¹,

Borrelli

Panagos

et al. 2022

PLoS ONE

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Background Advances in climate change research contribute to improved forecasts of hydrological extremes with potentially severe impacts on human societies and natural landscapes. Rainfall erosivity density (RED), i.e. rainfall erosivity (MJ mm hm-2 h-1 yr-1) per rainfall unit (mm), is a measure of rainstorm aggressiveness and a proxy indicator of damaging hydrological events. Methods and findings Here, using downscaled RED data from 3,625 raingauges worldwide and log-normal ordinary kriging with probability mapping, we identify damaging hydrological hazard-prone areas that exceed warning and alert thresholds (1.5 and 3.0 MJ hm-2 h-1, respectively). Applying exceedance probabilities in a geographical information system shows that, under current climate conditions, hazard-prone areas exceeding a 50% probability cover ~31% and ~19% of the world’s land at warning and alert states, respectively. Conclusion RED is identified as a key driver behind the spatial growth of environmental disruption worldwide (with tropical Latin America, South Africa, India and the Indian Archipelago most affected).

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“…In today's context, it is observed that most of the MFIs in Sri Lanka adapt short term strategies to generate a high return and then exit from the business. Saturation of existing operational areas before large-scale horizontal expansion may be a better growth strategy, reducing cost and increasing efficiency in caseload and overall management (Guardiola-Albert et al, 2020). Hence, the first step is to create a stated objective and motivation from the owners and management to manage risk on a daily basis before it arises and/or as it becomes recognized.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Risk Management towards Sustainability of Microfinance Industry in Sri Lanka: A Case Study

Illangakoon

Azam

Jaharadak

2021

IJSSER

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Purpose of the study: The microfinance industry has been developed significantly last two decades. It is fast becoming a household name globally and one of the key contributors to social-economic development. The Sustainability of the microfinance industry depends on several factors and encounters numerous challenges. The purpose of the study is to examine whether there is a relationship between risk management and the sustainability of the microfinance industry in Sri Lanka. Methodology: A simple regression analysis is used to demonstrate a connection in which one independent variable is predicted to influence one dependent variable. The study included 376 microfinance women borrowers from three districts in Sri Lanka, and the cluster sampling approach was used. Primary data was gathered using surveys, while secondary data was collected from CBSL, MFI annual reports, and the Microfinance Information Exchanger (MIX). Main Findings: The study findings reveal that effective risk Management has a significantly positive relationship with the Suitability of the Microfinance Industry in Sri Lanka. Research limitations/implications: The study was limited to three districts out of 25 districts in Sri Lanka, and the sample frame was selected from three leading MFIs that agreed to participate in the research. The availability of time for this study was limited and could not permit the consideration of all MFIs and the entire country. Novelty/Originality: The study concludes that MFIs should have a proper and effective risk management process, but it should be adequately handled and communicated to borrowers. It implies that proactive risk management is essential to the long-term Sustainability of microfinance institutions (MFIs).

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Analysing flash flood risk perception through a geostatistical approach in the village of Navaluenga, Central Spain

Cited by 13 publications

References 47 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

Global assessment of storm disaster-prone areas

Impact of Risk Management towards Sustainability of Microfinance Industry in Sri Lanka: A Case Study

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