Evidence map›Paper›PMID 41998150›Full record

ArticleScientific reports2026

Comprehensive risk mapping and management of rainfall-induced slope failures in urbanizing subtropical regions.

Fei Yang, Muhammad Hasan

Abstract read
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
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0citing papers in PubMed
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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

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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.

Fei YangGuangzhou Urban Planning & Design Survey Research Institute Co., Ltd, Guangzhou, 510060, China.
Muhammad HasanState Key Laboratory of Mountain Hazards and Engineering Resilience, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610299, China. hasan.mjiinnww@gmail.com.

Funding

Collaborative Innovation Center for Natural Resources Planning and Marine Technology of Guangzhou No. 2023B04J0301, No. 2023B04J0326the Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring and Early Warning No. 2020B121202019the International Science and Technology Cooperation Program of the Shanghai Cooperation Organization, Science and Technology Department, Xinjiang, China No. 2023E01005the Key-Area Research and Development Program of Guangdong Province No. 2020B0101130009the National Natural Science Foundation of China's Research Fund for International Young Scientists (RFIS-I) No. 42350410442the Science and Technology Foundation of Guangzhou Urban Planning & Design Survey Research Institute No. RDI2240204086
6 · The paper itself

Abstract

Geological disasters, such as landslides, collapses, and rockfalls, are significant hazards in humid subtropical regions, especially in rapidly urbanizing areas with intense monsoonal rainfall. This study focuses on Zhongxin Town in northern Guangdong, where fragile geomorphic conditions, exacerbated by urban expansion and human-modified slopes, heighten the risk of rainfall-induced slope failures. Using an integrated multi-parameter risk assessment framework, we combine unmanned aerial vehicle (UAV) data, geographic information system (GIS)-based spatial modeling, field surveys, and hydrometeorological analysis to quantify slope failure susceptibility, hazard, vulnerability, and risk. The susceptibility analysis, based on ten geomorphological, geological, and anthropogenic conditioning factors, shows that only a very small proportion of the area is classified as high susceptibility, while the vast majority falls into low-to-moderate susceptibility classes. Under three rainfall scenarios (100 mm/24 h, 250 mm/24 h, and 240 mm/72 h), hazard zoning indicates that high and extremely high hazard zones are strongly concentrated in steep, human-modified slopes. Vulnerability mapping highlights densely populated village clusters and critical infrastructure as the most exposed elements at risk. Integrating hazard and vulnerability demonstrates that high and extremely high risk zones are confined to a limited number of slope-cut villages, which are prioritized as key prevention and control areas in the final risk zoning. The results underscore the dominant role of cut-slope height and observed signs of damage, together accounting for more than half of the total susceptibility weight, and confirm that rainfall intensity and duration critically modulate hazard levels. By linking fine-scale spatial modeling with practical recommendations, such as slope stabilization, drainage control, stricter regulation of slope-cut construction, enhanced rainfall monitoring, and community-based early warning, this study provides an operational framework for township-scale risk governance and climate-resilient urban-rural development in subtropical southern China.

Indexed as

Geological hazardsGIS modelingRisk assessmentSlope failureVulnerability analysis

Identifiers

PMID41998150
PMCPMC13250072

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LicenceCC BY-NC-ND
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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.