Evidence map›Paper›PMID 40681643›Full record

ArticleScientific reports2025

Assessing climate change impacts on flood risk in the Yeongsan River Basin, South Korea.

Agbortoko Bate Ashu, Junsuk Kang

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

2 authors.

Agbortoko Bate AshuResearch Center for Regional Climate Crisis Response, Seoul National University, Seoul, 08826, Korea.
Junsuk KangInterdisciplinary Program in Landscape Architecture, Seoul National University, Seoul, 08826, Korea. windkplus@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flood risk prediction is critical for adaptation to the forecast frequency of extreme weather events. As South Korea experiences events that cause widespread flood damage, we conducted a flood risk assessment by employing global climate models and a hydrological model of the Yeongsan River Basin. Using shared socioeconomic pathway scenario data from the soil and water assessment tool, we simulated daily streamflow and reservoir outflow data for each sub-basin, modeling baseline, mid-century, and end-century scenarios. Four flood indices (duration, magnitude, probability, and frequency) were used for estimating flood risk. The spatial distribution of flood risk projected higher risks in most sub-basins for the mid- and end-century scenarios with an increase of flood amount to about 65% in the future. Adaptive strategies were required to address the risks of both flash floods and longer-term flooding. The study facilitates prioritizing flood risk regions for implementing effective preventive measures and efficient flood management.

Identifiers

PMID40681643
PMCPMC12274371

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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.