Evidence map›Paper›PMID 41981053›Full record

ArticleScientific reports2026

Multi-spatial scale analysis of cutting-slope houses to landslide hazard in granite regions: A case study in central China.

Shuangshuang Wu, Guangjun Zou, Li Zhang, Boyu Zhou, Dingfang Xu, Chuncan He

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.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shuangshuang WuSchool of Geosciences and Engineering, Hohai University, Nanjing, 211100, China. wushuangshuang@hhu.edu.cn.
Guangjun ZouGeological Survey Institute of Hunan Province, Changsha, 410014, China.
Li ZhangSchool of Geosciences and Engineering, Hohai University, Nanjing, 211100, China.
Boyu ZhouSchool of Geosciences and Engineering, Hohai University, Nanjing, 211100, China.
Dingfang XuGeological Survey Institute of Hunan Province, Changsha, 410014, China.
Chuncan HeSchool of Environment and Civil Engineering, Dongguan University of Technology, Dongguan, 523808, China.

Funding

Guangdong Basic and Applied Basic Research Foundation 2021A1515110723the National Natural Science Foundation of China 42307193the Natural Science Foundation of Hunan Province 2024JJ8346the Yanling County, 1:10,000 Geological Disaster Investigation and Risk Assessment in Yanling County, Hunan Province [2022]16
6 · The paper itself

Abstract

In landslide studies, vulnerable elements have received limited attention. In densely populated areas of China, slope cutting for house construction is widespread and significantly increases the risk of landslides behind houses, threatening both property and human safety. This problem is especially serious in China, where granite weathering crusts are widely distributed. Taking Yanling County as a case study, this study comprehensively investigated the current status and risks of cut-slope houses in granite areas. A total of 3,478 potential landslides were identified and 12,420 houses near slopes were sampled. A dataset was constructed using geological, geometric, and structural factors, and was combined with field surveys to support experiments and statistical analyses from the rock-soil scale to the regional scale. Results from 56 samples reveal significant granite strength degradation due to weathering. Analyses of three landslide cases and six slope units further clarify the characteristics of landslide hazards in the study area. Machine learning was used to assess the effects of multiple factors on landslide susceptibility and house vulnerability. Rainfall erosion showed a particularly strong effect on landslides in granite areas, distinguishing them from non-granite areas. For houses, slope-cutting height and distance from the slope toe were identified as the two most critical risk factors, as supported by both observed damage cases and regional-scale data mining. Two-dimensional thresholds were established to characterize the combined effects of these factors on disaster occurrence. Accordingly, three measures are recommended for landslide risk control in the study area: strengthening ecological restoration of granite slopes, moderately limiting slope-cutting height, and ensuring a sufficient safety distance from the slope toe during house construction.

Indexed as

Cutting slope house construction (CSHC)Disaster-causing  & disaster-bearing factorsGranite areasLandslidesThreshold definition

Identifiers

PMID41981053
PMCPMC13234161

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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.