Spatiotemporal clustering of flash floods in a changing climate (China, 1950–2015)

Wang, Nan; Lombardo, Luigi; Tonini, Marj; Cheng, Weiming; Guo, Liang; Xiong, Junnan

doi:https://doi.org/10.5194/nhess-21-2109-2021

Articles | Volume 21, issue 7

https://doi.org/10.5194/nhess-21-2109-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-21-2109-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 7

Research article

|

13 Jul 2021

Research article |

| 13 Jul 2021

Spatiotemporal clustering of flash floods in a changing climate (China, 1950–2015)

Nan Wang, Luigi Lombardo, Marj Tonini, Weiming Cheng, Liang Guo, and Junnan Xiong

Model code and software

Splancs: spatial and space-time point pattern analysis, R package version 2.01-40 B. Rowlingson and P. Diggle https://www.maths.lancs.ac.uk/~rowlings/Splancs/

Short summary

This study exploits 66 years of flash flood disasters across China. The conclusions are as follows. The clustering procedure highlights distinct spatial and temporal patterns of flash flood disasters at different scales. There are distinguished seasonal, yearly and even long-term persistent flash flood behaviors of flash flood disasters. Finally, the decreased duration of clusters in the recent period indicates a possible activation induced by short-duration extreme rainfall events.