Integration of effective antecedent rainfall to improve the performance of rainfall thresholds for landslide early warning in Wanzhou District, China

International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер unknown, С. 105317 - 105317

Опубликована: Фев. 1, 2025

Язык: Английский

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

Landslides, Год журнала: 2025, Номер unknown

Опубликована: Фев. 8, 2025

Язык: Английский

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Assessment of landslide susceptibility in watersheds during extreme rainfall using a complex network of slope units

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 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.

Язык: Английский

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Divergent patterns of landslide activity and triggering factors at a local scale of a single mountain massif (Island Beskid Mts., Western Carpathians, Poland)

Engineering Geology, Год журнала: 2024, Номер 335, С. 107531 - 107531

Опубликована: Апрель 29, 2024

Язык: Английский

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Control effect of a novel high-permeability counterfort retaining wall on rainfall-induced landslides

Environmental Earth Sciences, Год журнала: 2025, Номер 84(3)

Опубликована: Янв. 30, 2025

Язык: Английский

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Impact of root distribution patterns on the elastic deformation resistance capacity and pore water development in root reinforced soil

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 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.

Язык: Английский

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Evolution of landslide susceptibility in the Three Gorges Reservoir area over the three decades from 1991 to 2020

Geomatics Natural Hazards and Risk, Год журнала: 2025, Номер 16(1)

Опубликована: Фев. 25, 2025

Язык: Английский

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Spatiotemporal analysis and threshold modeling of rainfall-induced geological disasters in Anhui Province

Frontiers in Earth Science, Год журнала: 2025, Номер 13

Опубликована: Апрель 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.

Язык: Английский

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Impact of Rainfall Dry-Wet Cycles on Slope Deformation and Landslide Prediction in Open-Pit Mines: A Case Study of Mohuandang Landslide, Emeishan, China

Results in Engineering, Год журнала: 2025, Номер unknown, С. 105011 - 105011

Опубликована: Апрель 1, 2025

Язык: Английский

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A simulation-enabled slope digital twin for real-time assessment of rain-induced landslides

Engineering Geology, Год журнала: 2025, Номер unknown, С. 108116 - 108116

Опубликована: Май 1, 2025

Язык: Английский

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