ArticleScientific reports2025
The tight balance state and mechanism of disaster-resilient resources in karst small towns: a Chinese karst landform case study.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Mechanism and prevention of bed separation water hazards in karst coal mining areas of Northern Guizhou Province, China.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Karst small towns globally face challenges due to limited disaster-resilient resources, making it difficult to handle increasingly severe disaster environments. Improving the efficiency of disaster-resilient resource utilization and maintaining a tight balance state of disaster-resilient resources (TBS) are crucial for enhancing disaster adaptability and resilience. This study used urban and disaster data from a representative karst region in China (2017-2021) to conduct a quantitative analysis of TBS in karst small towns, exploring the mechanisms and interactions within this state and identifying obstacle factors. Results show an average TBS of 0.355, indicating a low level with growing disparities among towns. The spatial pattern of TBS has shifted from "high in the south, low in the north" to a multi-center structure, with central towns exhibiting stronger resource siphoning compared to radiating and driving abilities. The Coupling Coordination Degree model shows high coupling but low coordination, with an average value of 0.56, suggesting moderate coordination. Enhancing subsystem coupling and coordination is essential for improving TBS and disaster adaptability. Obstacle factor diagnosis identifies Driving Forces as the main constraint, followed by Responses, States, Pressures, and Impact. Lack of disaster monitoring and early warning technologies increases socio-economic losses caused by disasters.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.