Submarine Landslides Impact on Coastal and Offshore Environments: Modelling and Forecasting

MSCA (Marie Skłodowska-Curie)HORIZON-TMA-MSCA-PF-EFID: 101200637
EC Contribution
€2,603
Consortium Size
4 orgs
Start Year
2025
Summary

The influence of human activities on the marine geological environment has reached an unprecedented magnitude throughout history. The decomposition of hydrates within reservoirs due to changes in temperature and pressure conditions can result in the release of overpressured fluids, potentially triggering submarine slope failures that pose significant risks to offshore engineering developments and marine ecosystems. Nonetheless, the existing research in this field is deficient in providing a comprehensive assessment of the entire lifecycle of submarine landslide hazard chains. This research aims to understand the complex geophysical processes that cause submarine slopes to evolve and fail in the context of overpressured fluid transport in marine sediments, addressing a critical gap in our understanding of submarine slope instability and has important implications for fundamental geophysics, risk assessment, and climate change. To achieve our objectives, we will characterize the physical and mechanical properties of seabed geological bodies and fluids and develop a coupled Computational Fluid Dynamics (CFD) model with the Random Field Theory approach to capture the material heterogeneity in the micro- and macro-scales (WP1), conduct laboratory-scale experiments for obtaining quantitative parameters and use CFD method to study submarine slope failure caused by overpressured fluid transport, reproducing the life cycle process of submarine landslides (WP2), develop a highly scalable numerical model based on the open source code Hydro3D to evaluate the impact of submarine slope failure on infrastructures and the submarine environment using field observation data (WPs3-4), and ultimately implement comprehensive training activities and IP transformation, and develop an integrated offshore geohazard management framework for the sustainable exploitation of offshore resources (WP5).

Consortium (4)

Project Results (12)

Source: CORDIS, the EU research results database.

Publications (12)
Advances in numerical and AI approaches for turbidity current research: a brief review
GeoEnergy Communications· 2025DOI
Wei Huang, Cheng Zhang, Huaqiao Zhong, Xiangfeng Guo, Guochao Wu, Dongfang Liang, Xingsen Guo
CFD-driven machine learning scheme for submarine pipeline scour profile prediction
Ocean Engineering· 2025DOI
Zongxiang Xiu, Chenwei Luo, Wen Gao, Lejun Liu, Yang Wang, Bing Shi, Wanqing Chi, Xingsen Guo
Challenging Issues in Microplastic Transport by Submarine Turbidity Currents
Journal of Earth Science· 2025DOI
Yang Lu, Xiaolei Liu, Thorsten Stoesser, Eckart Meiburg, Dongfang Liang, Xingsen Guo
Comparative modelling of retrogressive landslide runout: 2D and 3D random large-deformation analyses using coupled Eulerian-Lagrangian method
International Journal of Mining Science and Technology· 2025DOI
Xuejian Chen, Shunping Ren, Xingsen Guo, Yueying Wang, Fei Liu, Hoang Nguyen, Rita Leal Sousa
Dual-stream graph convolutional networks enable accurate real-time chlorine prediction in sparsely monitored water distribution networks
Water Research· 2025DOI
Zilin Li, Yani Wang, Haixing Liu, Chi Zhang, Xingsen Guo, Guangtao Fu
Evaluation of hydrodynamic forces on offshore wind power piles induced by submarine landslides at various impact depths
International Journal of Coal Science & Technology· 2025DOI
Xingsen Guo, Xiaolei Liu, Hong Zhang, Junkai Sun, Thianlai Goh, Alessandro Leonardi
Experimental investigation of influencing factors on shear wave velocity in coral sand
Soil Dynamics and Earthquake Engineering· 2025DOI
Yide Wang, Yunlong Wang, Huida Liu, Xiaolei Liu, Xingsen Guo, Xiaoming Yuan
Graph neural networks for hydraulic predictions in water distribution networks: incorporating sensor data and physical constraints
Water Research X· 2025DOI
Zilin Li, Haixing Liu, Yani Wang, Chi Zhang, Xingsen Guo, Guangtao Fu
Guest editorial to the special issue deep-sea mining and environmental protection
International Journal of Mining Science and Technology· 2025DOI
Xingsen Guo, Xiaolei Liu, Yonggang Jia, Rita Leal Sousa, Dongfang Liang, Thorsten Stoesser, Eckart Meiburg
Integration of the CEL and ML Methods for Landing Safety Prediction and Optimization of Full-Scale Track Design in a Deep-Sea Mining Vehicle
Journal of Marine Science and Engineering· 2025DOI
Yifeng Zeng, Zongxiang Xiu, Lejun Liu, Qiuhong Xie, Yongfu Sun, Jianghui Yang, Xingsen Guo
Pore-scale modeling of pressure responses and particle migration in offshore seabed foundations subjected to wave action
Soil Dynamics and Earthquake Engineering· 2025DOI
Shuyu Zhang, Yang Lu, Qiang Zhang, Xingsen Guo, Xiaolei Liu
Surface sediment consolidation-creep characteristics in deep-sea mining areas: A quantitative microstructural perspective
Engineering Geology· 2025DOI
Xiaolei Liu, Zhihao Li, Yihan Liu, Rita Leal Sousa, Dongfang Liang, Cong Li, Xingsen Guo