近日，我院李莉副教授团队在《Bulletin of Engineering Geology and the Environment》（中科院二区SCI期刊，IF5 years=4.7）、《Earth Science Informatics》（中科院三区SCI期刊，IF5 years=3.1）、《Scientific Reports》（中科院三区SCI期刊，IF5 years=4.3）等国际学术期刊上连续发表3篇学术论文。研究内容聚焦三峡库区云阳县的浅层滑坡易发性、四川省北川县泥石流易感性开展了系统性的危险评价，并结合工程实践，应用机器学习与智能计算模型实现了灾害预测，为滑坡与泥石流防治提供了新的思路与方法。
论文信息：
[1] Li L, Liang S, Qiang Y, et al. Exploring the impact of introducing the TRIGRS physical model into machine learning model on the rainfall-induced shallow landslide-susceptibility assessment[J].Bulletin of Engineering Geology & the Environment, 2025, 84(5). DOI:10.1007/s10064-025-04229-8.
[2] Liang S, Li L, Qiang Y, et al. High-precision landslide susceptibility assessment based on the coupling of IHAOAVOA algorithm and BP neural network[J].Earth Science Informatics, 2025, 18(2):1-20. DOI:10.1007/s12145-025-01753-9.
[3] Xu X, Qiang Y, Li L, et al. A MaxEnt-TRIGRS hybrid model with dynamic safety factor mapping for enhanced debris flow susceptibility assessment in rainfall-triggered terrains[J].Scientific Reports, 2025, 15(1). DOI:10.1038/s41598-025-11284-4.
