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Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards Volume 16, 2022 - Issue 4
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Articles

Probabilistic model calibration of spatial variability for a physically-based landslide susceptibility model

Junyao Luoa State Key Laboratory of Ocean Engineering, Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China;b Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Shanghai, People’s Republic of China;c Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, Shanghai, People’s Republic of ChinaView further author information
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Lulu Zhanga State Key Laboratory of Ocean Engineering, Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China;b Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Shanghai, People’s Republic of China;c Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, Shanghai, People’s Republic of ChinaCorrespondence[email protected]
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Haoqing Yanga State Key Laboratory of Ocean Engineering, Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China;b Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Shanghai, People’s Republic of China;c Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, Shanghai, People’s Republic of ChinaView further author information
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Xin Weia State Key Laboratory of Ocean Engineering, Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China;b Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Shanghai, People’s Republic of China;c Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, Shanghai, People’s Republic of ChinaView further author information
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Dongsheng Liud Chongqing Bureau of Geology and Mineral Resources, Chongqing, People’s Republic of ChinaView further author information
&
Jiabao Xua State Key Laboratory of Ocean Engineering, Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China;b Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Shanghai, People’s Republic of China;c Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, Shanghai, People’s Republic of ChinaView further author information
Pages 728-745 | Received 25 Feb 2021, Accepted 29 Sep 2021, Published online: 26 Oct 2021

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G. Mastrantoni, G. M. Marmoni, C. Esposito, F. Bozzano, G. Scarascia Mugnozza & P. Mazzanti. (2023) Reliability assessment of open-source multiscale landslide susceptibility maps and effects of their fusion. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 0:0, pages 1-18.
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Peiping Li & Yu Wang. (2023) Interpretation of spatio-temporal variation of precipitation from spatially sparse measurements using Bayesian compressive sensing (BCS). Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:3, pages 554-571.
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Articles from other publishers (2)

Xin Wei, Lulu Zhang, Paolo Gardoni, Yangming Chen, Lin Tan, Dongsheng Liu, Chunlan Du & Hai Li. (2023) Comparison of hybrid data-driven and physical models for landslide susceptibility mapping at regional scales. Acta Geotechnica 18:8, pages 4453-4476.
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Haoran Fang, Yun Shao, Chou Xie, Bangsen Tian, Yu Zhu, Yihong Guo, Qing Yang & Ying Yang. (2022) Using Persistent Scatterer Interferometry for Post-Earthquake Landslide Susceptibility Mapping in Jiuzhaigou. Applied Sciences 12:18, pages 9228.
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