Bo Zhang

Building A17, Room 01.14

Telegrafenberg, 14473 Potsdam, Germany

I am Bo Zhang, a PhD student in the Department of Geological and Hydraulic Engineering, College of Civil Engineering, Tongji University. I am also a visiting PhD student in Section 1.4 Remote Sensing and Geoinformatics at the GFZ Helmholtz Centre for Geosciences.

My research focuses on geohazards, InSAR, optical remote sensing, field investigation, and laboratory analysis.

Research interests:

InSAR and Optical Remote Sensing for Geohazards
Behavior and Mechanism of Glacier/Rock Failure in High-elevation Regions
Fluidization Mechanisms and Long Runout of Landslides
Disaster Prevention and Mitigation in Mountainous Regions under Climate Change

Publications

Research Progress on Influence Patterns of Endogenic and Exogenic Dynamics on Geological Hazards in Southeast Tibet Plateau

Bo Zhang, Fawu Wang, Peng Sheng, Qi You, Youqian Feng, Sen Li, and 1 more author

Earth Science, 2026

Abs DOI

This review summarizes how endogenic and exogenic dynamics influence geohazards in the Southeast Tibet Plateau, distinguishing long-term incubation by tectonic and seismic processes from short-term triggering by climate and river dynamics. It proposes a multi-scale spatiotemporal framework for linking regional geohazard patterns with their controlling dynamic processes.
A CNN–Transformer hybrid network for efficient cross-region landslide detection by transfer learning

Zijin Fu, Fawu Wang, Junfei Zhong, Filippo Catani, Jie Dou, Qi You, and 1 more author

Landslides, 2026

Abs DOI

This paper proposes a CNN–Transformer hybrid network for efficient cross-region landslide detection by transfer learning, combining local feature extraction with global context representation to improve generalization across study areas.
Numerical analysis of landslide-induced waves in rock slopes with a random discrete fracture network based on an improved SPH–DEM coupling method

Huanjia Kou, Zhenming Shi, Chengzhi Xia, Bo Zhang, Liu Liu, Danyi Shen, and 1 more author

Ocean Engineering, 2025

Abs DOI

This study uses an improved SPH–DEM coupling method with a random discrete fracture network to simulate landslide-induced waves from fractured rock slopes, with emphasis on fracture-controlled failure, impact dynamics, and wave-generation behavior.
A liquefied long-runout loess landslide triggered by the Jishishan Ms6.2 earthquake on 18 December 2023 in Qinghai, China

Fawu Wang, Youqian Feng, Ye Chen, Bo Zhang, Zijin Fu, Hao Ma, and 1 more author

Landslides, 2024

Abs DOI

This paper reports a liquefied long-runout loess landslide triggered by the 2023 Jishishan earthquake in Qinghai, China, and discusses seismic triggering, loess liquefaction, high mobility, and implications for earthquake-induced landslide hazards.
Impact of a clustered rainfall-induced geo-hydrological disaster on densely populated gully villages in Fuyang District, Hangzhou City, Zhejiang Province, China on 22 July 2023

Fawu Wang, Bo Zhang, Qing Lü, Hao Ma, Ye Chen, Zijin Fu, and 1 more author

Landslides, 2024

Abs DOI

This report describes a clustered rainfall-induced geo-hydrological disaster affecting densely populated gully villages in Fuyang District, Hangzhou, and summarizes the rainfall background, landslide and flood impacts, and disaster-reduction lessons.
Rainfall-induced Guilong landslide-mudflow in a terraced field of southwestern China on 22 June 2022

Fawu Wang, Bo Zhang, Kongming Yan, Weichao Liu, and Jie Gao

Landslides, 2024

Abs DOI

This paper reconstructs the rainfall-induced Guilong landslide-mudflow in a terraced field of southwestern China, examining how slope failure transformed into a mobile mudflow and how rainfall, terrain, and land-use conditions influenced the event.
An Integrated Framework of Positive-Unlabeled and Imbalanced Learning for Landslide Susceptibility Mapping

Zijin Fu, Hao Ma, Fawu Wang, Jie Dou, Bo Zhang, and Zhice Fang

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024

Abs DOI

This study develops a landslide susceptibility mapping framework that combines positive-unlabeled learning with methods for imbalanced data, aiming to reduce dependence on unreliable absence samples and improve prediction under class imbalance.
The Azijue debris flow induced by rainfall on 30 August 2020 in Ganluo County, Sichuan Province, southwestern China

Kongming Yan, Fawu Wang, Gang Fan, Yang Liu, Kounghoon Nam, and Bo Zhang

Landslides, 2023

Abs DOI

This paper documents the rainfall-induced Azijue debris flow in Ganluo County, southwestern China, and analyzes the event setting, initiation, movement, deposition, and implications for debris-flow hazards in steep mountain valleys.
Two long-runout rock avalanches in 2022 and 2020 in an underground coal mining field in Zhijin, China

Kongming Yan, Fawu Wang, Weichao Liu, Bo Zhang, and Jie Gao

Landslides, 2023

Abs DOI

This paper compares two long-runout rock avalanches in an underground coal mining field in Zhijin, China, focusing on source conditions, movement characteristics, mining-related slope disturbance, and risk implications for similar mining landscapes.