Can Level-2 Firth’s Bias-reduced logistic regression be considered a robust approach for predicting landslide susceptibility? DOI
Ananta Man Singh Pradhan, Suchita Shrestha, Jisung Lee

et al.

Bulletin of Engineering Geology and the Environment, Journal Year: 2024, Volume and Issue: 84(1)

Published: Dec. 28, 2024

Language: Английский

Clustered landslides induced by rainfall in Jiangwan Town, Shaoguan City, Guangdong Province, China DOI

Genlan Yang,

Longhui Zhao,

Yigen Qin

et al.

Landslides, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 8, 2025

Language: Английский

Citations

1

Integration of effective antecedent rainfall to improve the performance of rainfall thresholds for landslide early warning in Wanzhou District, China DOI
Xin Liang, Samuele Segoni, Fan Wen

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105317 - 105317

Published: Feb. 1, 2025

Language: Английский

Citations

1

Divergent patterns of landslide activity and triggering factors at a local scale of a single mountain massif (Island Beskid Mts., Western Carpathians, Poland) DOI
Małgorzata Wistuba, Elżbieta Gorczyca, Ireneusz Malik

et al.

Engineering Geology, Journal Year: 2024, Volume and Issue: 335, P. 107531 - 107531

Published: April 29, 2024

Language: Английский

Citations

6

Control effect of a novel high-permeability counterfort retaining wall on rainfall-induced landslides DOI
Zhao Li, Da Huang, Yuguo Liang

et al.

Environmental Earth Sciences, Journal Year: 2025, Volume and Issue: 84(3)

Published: Jan. 30, 2025

Language: Английский

Citations

0

Assessment of landslide susceptibility in watersheds during extreme rainfall using a complex network of slope units DOI Creative Commons
Chenlu Wang,

Jianlin Zhou,

Zhenguo Wang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 12, 2025

Rainfall-induced landslides present significant challenges in regional landslide prediction and management. Traditional susceptibility assessment models often evaluate individual units isolation, neglecting the hydrological connections between slope within a watershed. This approach fails to account for occurrence of groups. To address this limitation, we propose "Network-based Landslide Susceptibility Assessment Model" (NLSAM). model incorporates impact water transfer using complex network integrates physically-based interactions slopes. In study, applied NLSAM watershed Fuyang District, Zhejiang Province, China. Experimental results show that extreme rainfall increases units, destabilizing more slopes elevating susceptibility. Validation demonstrate recall is 0.93, confirming model's ability identify group-occurring landslides. captures propagation paths quantifies their impacts, assisting decision-makers formulating effective management strategies.

Language: Английский

Citations

0

Impact of Rainfall Dry-Wet Cycles on Slope Deformation and Landslide Prediction in Open-Pit Mines: A Case Study of Mohuandang Landslide, Emeishan, China DOI Creative Commons
Zhuoxi Zhong, Bin Hu, Jing Li

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105011 - 105011

Published: April 1, 2025

Language: Английский

Citations

0

Impact of root distribution patterns on the elastic deformation resistance capacity and pore water development in root reinforced soil DOI Creative Commons
Shaoyuan Lyu, Jun Li, Xiaodong Ji

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 15, 2025

Shallow soils are highly vulnerable to the combined impacts of various factors, including vehicle loading, precipitation, and groundwater. The slope soil at roadside is inevitably subjected long-term cyclic loading from traffic. Previous studies have demonstrated that ecological engineering measures can effectively mitigate deformation reduce pore water pressure development, thereby preventing erosion landslides. This study aims investigate influence root distribution patterns on elastic development trends in reinforced by simulating traffic through dynamic triaxial tests. findings demonstrate presence roots significantly enhances soil's resistance deformation. When vertical accounts for 25% (while horizontal 75%), experimental results indicate exhibits minimal slower development. Moreover, a parameter D introduced enhance existing models with increased coefficients determination, improving applicability root-reinforced soils. These provide valuable insights enhancing strength liquefaction while providing guiding research mechanical effects reinforcement restoration highway slopes.

Language: Английский

Citations

0

Evolution of landslide susceptibility in the Three Gorges Reservoir area over the three decades from 1991 to 2020 DOI Creative Commons
Jiahui Dong,

Jinrong Duan,

Runqing Ye

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 25, 2025

Language: Английский

Citations

0

Spatiotemporal analysis and threshold modeling of rainfall-induced geological disasters in Anhui Province DOI Creative Commons
Bo Wang, Jie Liu,

Gaoping Liu

et al.

Frontiers in Earth Science, Journal Year: 2025, Volume and Issue: 13

Published: April 17, 2025

Rainfall-induced geological disasters are widespread in the Jianghuai region of China, endangering human lives and socioeconomic activities. Anhui Province, a hotspot for these disasters, warrants thorough analysis temporal spatial distribution their correlation with rainfall effective forecasting warning. This study divides Province into Dabie Mountains, southern other areas based on different background conditions, establishes threshold warning models each. We reconstructed collection disaster precipitation records data from 2008 to 2023. Using binary logistic regression, we analyzed between factors selected optimal attenuation parameters area, determined critical levels. Results show: (1) Landslides collapses main types, mostly occurring high altitude like concentrated rainy season June - July each year; (2) Rainfall is inducer, both single heavy processes sustained influencing occurrence, through combined effect; (3) Effective significantly correlated day previous 8 days rainfall. The coefficients regions 0.60, 0.66, 0.61, respectively. shows that setting fine tuned better than province wide threshold. With 79% forecast accuracy, it can provide scientific basis meteorological risk Province.

Language: Английский

Citations

0

An approach to assess hazards in the vicinity of mountain and volcanic areas DOI
André Michel Pouth Nkoma,

Jorelle Larissa Méli’i,

Marthe Mbond Ariane Gweth

et al.

Landslides, Journal Year: 2024, Volume and Issue: unknown

Published: June 1, 2024

Language: Английский

Citations

2