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Study on the liquefaction mechanism of the saturated loess in Zhongchuan County induced by the Jishishan MS 6.2 earthquak
Author: Jia, Shichao; Wang, Qian; Zhong, Xiumei; Wang, Yi; Hu, Xuefeng; Wang, Yingshi; Li, Wanxiao
Journal: NATURAL HAZARDS. 2026; Vol. 122, Issue 9, pp. -. DOI: 10.1007/s11069-026-08125-6
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Characteristics, evolution pattern and disaster responses of ground fissures in the Great Rift Valley, Keny
Author: Jia, Zhijie; Ma, Penghui; Lu, Quanzhong; Huang, Weiliang; Zhuang, Jianqi; Zhu, Xinghua; Leng, Yanqiu; Wang, Feiyong; He, Ming; Peng, Jianbing
Journal: NATURAL HAZARDS. 2026; Vol. 122, Issue 9, pp. -. DOI: 10.1007/s11069-026-08157-y
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Research on a spatial multi-scale detection method for newly occurred landslides by coupling LGBM and YOL
Author: Yu, Xianyu; Wang, Zexuan
Journal: NATURAL HAZARDS. 2026; Vol. 122, Issue 9, pp. -. DOI: 10.1007/s11069-026-08134-5
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Ecosystem-based drought disaster risk reduction capacity: zoning optimization and improvement factors for urban agglomerations in the Yellow River Basi
Author: Yang, Wentong; Chen, Junfei; Zhang, Peng; Ding, Tonghui; Gong, Wenjie
Journal: NATURAL HAZARDS. 2026; Vol. 122, Issue 9, pp. -. DOI: 10.1007/s11069-026-08152-3
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Comprehensive hazard assessment of translational landslides through multi-model integration: a case study of Yanshan Township in the Three Gorges Reservoir are
Author: Yang, Liang; Chen, Qin; Lin, Manqing; Wang, Yang; Liu, Jizhixian; Glade, Thomas
Journal: NATURAL HAZARDS. 2026; Vol. 122, Issue 9, pp. -. DOI: 10.1007/s11069-026-08138-1
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Rockfall hazard assessment and governing strategy for a cliff feature zone based on the high-resolution online images and terrain analysi
Author: Zhao, Rongguo; Yang, Jinchen; Zhou, Suhua; Huang, Minghua; Yang, Minghui
Journal: NATURAL HAZARDS. 2026; Vol. 122, Issue 9, pp. -. DOI: 10.1007/s11069-026-08122-9
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Enhancing wildfire spread scale prediction with explainable AI: a hist gradient boosting and SHAP-based approac
Author: Liao, Bin; Zhou, Tao; Yu, Jiong; Liu, Yanping; Zhang, Tao; Lu, Tiantian
Journal: NATURAL HAZARDS. 2026; Vol. 122, Issue 9, pp. -. DOI: 10.1007/s11069-026-08145-2
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Machine learning modeling for predicting soil liquefaction utilizing laboratory test dat
Author: Huang, Chao; Wang, Weiran; Jian, Xingyue; Xie, Jiren; Fang, Kun; Li, Guo; Huang, Dongliang
Journal: NATURAL HAZARDS. 2026; Vol. 122, Issue 9, pp. -. DOI: 10.1007/s11069-026-08146-1
