Understanding meteorological and physio-geographical controls of variability of flood event classes in headstream catchments of China

Zhang, Yongyong; Zhang, Yongqiang; Zhai, Xiaoyan; Xia, Jun; Tang, Qiuhong; Wang, Wei; Wu, Jian; Niu, Xiaoyu; Han, Bing

doi:https://doi.org/10.5194/hess-29-3257-2025

Articles | Volume 29, issue 14

https://doi.org/10.5194/hess-29-3257-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-29-3257-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 29, issue 14

Research article

|

28 Jul 2025

Research article |

| 28 Jul 2025

Understanding meteorological and physio-geographical controls of variability of flood event classes in headstream catchments of China

Yongyong Zhang, Yongqiang Zhang, Xiaoyan Zhai, Jun Xia, Qiuhong Tang, Wei Wang, Jian Wu, Xiaoyu Niu, and Bing Han

Supplement

https://doi.org/10.5194/hess-29-3257-2025-supplement

Data sets

CNLUCC: Multi-period land use remote sensing monitoring dataset in China X. L. Xu et al. https://doi.org/10.12078/2018070201

Basic surface meteorological observation data of China from 1993 to 2015 China Meteorological Data Service Centre \url{http://data.cma.cn/data/cdcdetail/dataCode/A.0012.0001.html}

Annual hydrological report of China Ministry of Water Resources of the People's Republic of China http://www.mwr.gov.cn/

Short summary

It is challenging to investigate flood variabilities and their formation mechanisms from massive event samples. This study explores spatiotemporal variabilities of 1446 flood events using hierarchical and partitional clustering methods. Control mechanisms of meteorological and physio-geographical factors are explored for individual flood event classes using constrained rank analysis. This gives insights into comprehensive changes in flood events and aids in flood prediction and control.