Evidence map›Paper›PMID 41844797›Full record

ArticleScientific reports2026

Projecting groundwater flood risk in a lowland karst system under future climates.

Ruhhee Tabbussum, Bidroha Basu, Patrick Morrissey, Conor Murphy, Laurence Gill

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ruhhee TabbussumDepartment of Civil, Structural and Environmental Engineering, Trinity College Dublin, The University of Dublin, Dublin, Ireland. ruhhee.tabbussum@atu.ie.
Bidroha BasuDepartment of Civil, Structural and Environmental Engineering, Munster Technological University, Cork, Ireland.
Patrick MorrisseyDepartment of Civil, Structural and Environmental Engineering, Trinity College Dublin, The University of Dublin, Dublin, Ireland.
Conor MurphyIrish Climate Analysis and Research Unit, Department of Geography, Maynooth University, Kildare, Ireland.
Laurence GillDepartment of Civil Engineering and Construction, Atlantic Technological University Sligo, Sligo, Ireland.

Funding

EPA EPA-2020-W-CD-3
6 · The paper itself

Abstract

Future flood dynamics in a lowland karst catchment draining into Galway Bay, Ireland, have been assessed under climate-change scenarios. Bayesian neural network model (BNN) was calibrated on 1980-2015 observations of rainfall, tides, and turlough flood volumes, yielding correlations of R = 0.95 (training) and R = 0.78 (overall). Projections driven by CORDEX under RCP 4.5 and 8.5 for 2016-2100 reveal ensemble-mean rainfall increases of 1.2 mm decade

Indexed as

Bayesian neural network modellingClimate projectionsExtreme eventsKarst floodingRepresentative concentration pathwaysWavelet coherence

Identifiers

PMID41844797
PMCPMC13133403

What OpenQuestion holds

Textmetadata
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.