Evidence map›Paper›PMID 42746202›Full record

ArticlePNAS nexus2026

Warming accelerates drought-flood oscillations and stratifies socioeconomic exposure.

Wei Qi, Ruiting Huang, Yanpeng Cai, Qian Tan, Minglei Ren, Yanli Liu

Abstract read
In one paragraph

Article in PNAS nexus, 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

6 authors.

Wei QiGuangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Ecology, Environment and Ocean, Guangdong University of Technology, Guangzhou 510006, China.ORCID https://orcid.org/0000-0001-6969-6729
Ruiting HuangGuangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Ecology, Environment and Ocean, Guangdong University of Technology, Guangzhou 510006, China.
Yanpeng CaiGuangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Ecology, Environment and Ocean, Guangdong University of Technology, Guangzhou 510006, China.
Qian TanGuangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Ecology, Environment and Ocean, Guangdong University of Technology, Guangzhou 510006, China.
Minglei RenChina Institute of Water Resources and Hydropower Research, Beijing 100038, China.
Yanli LiuNational Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropogenic warming intensifies the hydrological cycle, increasing the likelihood of drought and flood events. However, disaster assessments predominantly evaluate these hazards in isolation, obscuring the distinct physical characteristics and societal impacts of drought-flood alternations. Here, we integrate bias-corrected climate projections with hydrological and socioeconomic mapping to quantify the evolving dynamics of three drought-flood switching event types-drought-flood alternation events, drought-to-flood transitions, and flood-to-drought transitions-and their unequal burdens across warming levels from 1.5 to 4.5 °C in China, a region facing the world's most severe flood impacts. We show that warming systematically compresses transition intervals between drought and flood conditions, driving marked increases in the frequency and spatial extent of these event types. This physical acceleration amplifies socioeconomic exposure, revealing a stark distributional asymmetry. While wealthy regions experience the highest absolute exposure, lower-income populations face disproportionately high relative increases in human and economic exposure risks. Our results demonstrate that the temporal compression of hydrological extreme reversals creates a class of compound risk that reduces preparedness windows and stratifies vulnerability along socioeconomic lines. These findings underscore the urgency of incorporating rapid hydrological transitions into adaptation strategies to address the inequal escalation of climate risk, a critical dimension of vulnerability that has long been overlooked.

Indexed as

climate changedroughtextreme eventsflood

Identifiers

PMID42746202
PMCPMC13576069

What OpenQuestion holds

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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.