Evidence map›Paper›PMID 35388066›Full record

ArticleScientific reports2022

Venice as a paradigm of coastal flooding under multiple compound drivers.

Christian Ferrarin, Piero Lionello, Mirko Orlić, Fabio Raicich, Gianfausto Salvadori

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Christian FerrarinCNR - National Research Council of Italy, ISMAR - Institute of Marine Sciences, Venice, Italy. c.ferrarin@ismar.cnr.it.
Piero LionelloDiSTeBA - Department of Biological and Environmental Sciences and Technologies, University of Salento, Lecce, Italy.
Mirko OrlićDepartment of Geophysics, Faculty of Science, University of Zagreb, Zagreb, Croatia.
Fabio RaicichCNR - National Research Council of Italy, ISMAR - Institute of Marine Sciences, Trieste, Italy.
Gianfausto SalvadoriDepartment of Mathematics and Physics, University of Salento, Lecce, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Full comprehension of the dynamics of hazardous sea levels is indispensable for assessing and managing coastal flood risk, especially under a changing climate. The 12 November 2019 devastating flood in the historical city of Venice (Italy) stimulated new investigations of the coastal flooding problem from different perspectives and timescales. Here Venice is used as a paradigm for coastal flood risk, due to the complexity of its flood dynamics facing those of many other locations worldwide. Spectral decomposition was applied to the long-term 1872-2019 sea-level time series in order to investigate the relative importance of different drivers of coastal flooding and their temporal changes. Moreover, a multivariate analysis via copulas provided statistical models indispensable for correctly understanding and reproducing the interactions between the variables at play. While storm surges are the main drivers of the most extreme events, tides and long-term forcings associated with planetary atmospheric waves and seasonal to inter-annual oscillations are predominant in determining recurrent nuisance flooding. The non-stationary analysis revealed a positive trend in the intensity of the non-tidal contribution to extreme sea levels in the last three decades, which, along with relative sea-level rise, contributed to an increase in the frequency of floods in Venice.

Indexed as

FloodsSea Level RiseCitiesClimateClimate Change

Identifiers

PMID35388066
PMCPMC8986792

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Registered trials

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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.