Evidence map›Paper›PMID 34434868›Full record

ArticleMethodsX2021

Method for fluvial and pluvial flood risk assessment in rural settlements.

Maurizio Tiepolo, Elena Belcore, Sarah Braccio, Souradji Issa, Giovanni Massazza, Maurizio Rosso, Vieri Tarchiani

Abstract read
In one paragraph

Article in MethodsX, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Risks of Drone Use in Light of Literature Studies.Sensors (Basel, Switzerland) · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Maurizio TiepoloDIST-Politecnico and University of Turin, Italy.
Elena BelcoreDIATI-Politecnico of Turin, Italy.
Sarah BraccioDIST-Politecnico and University of Turin, Italy.
Souradji IssaMinistry of Agriculture and Livestock, Niger.
Giovanni MassazzaAIPO-Interregional Agency for Po River, Moncalieri, Italy.
Maurizio RossoDIATI-Politecnico of Turin, Italy.
Vieri TarchianiInstitute of Bio Economy, National Research Council, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flood risk assessments in the Global South have increased since the adoption of the United Nations Sendai Framework for Disaster Risk Reduction 2015-2030. However, they often fail to meet disaster risk reduction needs at the local scale, because they typically consider only one hazard (fluvial or pluvial floods). Furthermore, hazard and exposure are considered as stationary conditions, flood-prone assets are rarely identified, risk reduction measures are not identified in detail for specific locations, and the convenience of reducing or accepting risk is not evaluated. This paper describes a flood risk assessment method that is innovative in that it considers three hazard types (backwater, fluvial, and pluvial floods) and multiple risk scenarios; it uses orthophotos generated from images captured by an unmanned aerial vehicle and very high-resolution satellite images, and it involves communities in risk assessment. The method was applied to four rural settlements along the Sirba River, Niger. The assessment identifies the benefit of reducing risk in monetary terms, as well as the intangible benefits that reducing risk could generate, and it detects opportunities that flooding offers for rural development. The method can be replicated in all contexts where decision-making support is needed for flood risk assessment planning.•Risk analysis and evaluation is participatory.•Risk assessment is improved by combining local and technical knowledge.•Assets are identified using very-high-resolution satellite and drone images.

Indexed as

DamageDisaster risk reductionHydraulic modellingLocal knowledgeMulti-hazardPublic participationUnmanned aerial vehicleVHR satellite images

Identifiers

PMID34434868
PMCPMC8374707

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.