Articles | Volume 26, issue 8
https://doi.org/10.5194/nhess-26-4153-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-4153-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Aug 2026
Research article |
| 27 Aug 2026
| 27 Aug 2026
Unveiling the link between extreme precipitation events and flood disasters in China: from a 3D perspective
Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China
Key Laboratory of Urban Meteorology, China Meteorological Administration, Beijing, China
China Meteorological Administration Hydro-Meteorology Key Laboratory, Beijing, China
Sixuan Li
School of Atmospheric Sciences, Lanzhou University, Lanzhou, China
Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China
School of Atmospheric Sciences, Lanzhou University, Lanzhou, China
Ashok Kumar Pokharel
Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China
Yongli He
Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China
School of Atmospheric Sciences, Lanzhou University, Lanzhou, China
Chenyu Cao
School of Atmospheric Sciences, Lanzhou University, Lanzhou, China
College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China
Lulu Lian
Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China
School of Atmospheric Sciences, Lanzhou University, Lanzhou, China
Lihui Zhang
Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China
School of Atmospheric Sciences, Lanzhou University, Lanzhou, China
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Yu Chen, Yue Zhang, Siyu Chen, Ben Yang, Huiping Yan, Jixiang Li, Chao Zhang, Gaotong Lou, Junyan Chen, Lulu Lian, and Chuwei Liu
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-81, https://doi.org/10.5194/gmd-2023-81, 2023
Revised manuscript not accepted
Short summary
Short summary
The numerical models seriously ignoring the aeolian erosion and dust emission process on the potential sources. Six sets of dynamic dust sources were built by combine surface bareness and topographic feature. Results show that dust sources are closely related to surface exposure and topographic characteristics, which respectively control the spatial distribution and numerical value of dynamic dust sources.
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Short summary
China has suffered substantial economic losses and numerous fatalities due to flood disasters. This study collected historical flood data and investigated flood-causing precipitation events and their triggered flood disasters from a 3D perspective by using the connected component 3D method. Furthermore, this study revealed the complex relationships between flood disasters and key influencing factors. The findings offer new insights into the characteristics of flood disasters.
China has suffered substantial economic losses and numerous fatalities due to flood disasters....
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