Spatiotemporal Evolution of Extreme Rainstorm Events in China and Corresponding Population Exposure

Yang Yang , Lei Tan , Xiaohui Yang , Shuo Zhang

Hydroecol. Eng. ›› 2026, Vol. 3 ›› Issue (1) : 10004

PDF (3758KB)
Hydroecol. Eng. ›› 2026, Vol. 3 ›› Issue (1) :10004 DOI: 10.70322/hee.2026.10004
Article
research-article
Spatiotemporal Evolution of Extreme Rainstorm Events in China and Corresponding Population Exposure
Author information +
History +
PDF (3758KB)

Abstract

In order to reveal the spatio-temporal evolution of extreme rainstorm events in China and the changing characteristics of population exposure in different periods, this study systematically explored the spatio-temporal evolution characteristics of four indicators of extreme rainstorm frequency, duration, peak and cumulative amount, as well as the difference of population exposure to extreme rainstorm events in 2000 and 2020, based on the relevant data of extreme rainstorm and population distribution grid data from 2000 to 2020, using spatial analysis and trend analysis methods. The results show that in space, the frequency, peak value, and cumulative amount of extreme rainstorms are increasing from northwest to southeast, the southeast coast is a high value area, and there is almost no extreme rainstorm in the northwest arid area; The high-value areas of duration are concentrated in the Qinghai Tibet Plateau and Northeast China. In terms of time, from 2000 to 2020, the frequency of extreme rainstorm in Northeast China increased, the southern part of the Qinghai Tibet Plateau and other regions decreased, the peak value of rainstorm in North China Plain and the eastern coast increased, Taiwan Province showed a significant downward trend, and the change rate of rainstorm accumulation was stronger in the south and weaker in the north. In terms of spatial concentration, the high value concentration area of extreme rainstorms generally shifts to South China, while the low value concentration area is stably distributed in the northwest and part of the north. In terms of population exposure, the distribution characteristics of 2000 and 2020 are low in the northwest and high in the southeast, and the exposure of capital cities in southeast coastal provinces to extreme rainstorm frequency and peak in 2020 is significantly higher than that in 2000. Population migration and the evolution of extreme rainstorm events are the main driving factors. This study clarifies the temporal and spatial evolution law of extreme rainstorm events in China and the characteristics of population exposure change, which provides a scientific basis for regional extreme rainstorm disaster risk assessment, disaster prevention and mitigation planning, and optimization of population and urban development layout, and has important practical significance for improving the ability to respond to extreme climate events and ensuring regional population security and sustainable development.

Keywords

Extreme rainstorm event / Spatial pattern / Exposure / China

Cite this article

Download citation ▾
Yang Yang, Lei Tan, Xiaohui Yang, Shuo Zhang. Spatiotemporal Evolution of Extreme Rainstorm Events in China and Corresponding Population Exposure. Hydroecol. Eng., 2026, 3(1): 10004 DOI:10.70322/hee.2026.10004

登录浏览全文

4963

注册一个新账户 忘记密码

Author Contributions

Conceptualization, Y.Y.; Methodology, Y.Y.; Software, Y.Y.; Validation, Y.Y.; Formal Analysis, Y.Y.; Data Curation, Y.Y.; Writing—Original Draft Preparation, Y.Y.; Writing—Review & Editing, Y.Y., X.Y. and S.Z; Visualization, Y.Y., X.Y. and S.Z.; Supervision, L.T.; Project Administration, L.T.

Ethics Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Allow data to be obtained upon reasonable request.

Funding

This research received no external funding.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

[1]

IPCC. Technical summary: Climate Change and Land. In IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems; Cambridge University Press: Cambridge, UK, 2022; pp. 37-74. DOI:10.1017/9781009157988.002

[2]

Bastos A, Sippel S, Frank D, Mahecha MD, Zaehle S, Zscheischler J, et al. A joint framework for studying compound ecoclimatic events. Nat. Rev. Earth Environ. 2023, 4, 333-350. DOI:10.1038/s43017-023-00410-3

[3]

Murali G, Iwamura T, Meiri S, Roll U. Future temperature extremes threaten land vertebrates. Nature 2023, 615, 461-467. DOI:10.1038/s41586-022-05606-z

[4]

Rodell M, Li B. Changing intensity of hydroclimatic extreme events revealed by GRACE and GRACE-FO. Nat. Water 2023, 1, 241-248. DOI:10.1038/s44221-023-00040-5

[5]

Zscheischler J, Westra S, van den Hurk BJJM. Future climate risk from compound events. Nat. Clim. Change 2018, 8, 469-477. DOI:10.1038/s41558-018-0156-3

[6]

Fouillet A, Rey G, Laurent F, Pavillon G.Excess mortality related to the August 2003 heat wave in France. Int. Arch. Occup. Environ. Health 2006, 80, 16-24. DOI:10.1007/s00420-006-0089-4

[7]

Grimm NB, Faeth SH, Golubiewski NE. Global change and the ecology of cities. Science 2008, 319, 756-760. DOI:10.1126/science.1150195

[8]

Ren Y, Zhang H, Wei W. Effects of turbulence structure and urbanization on the heavy haze pollution process. Atmos. Chem. Phys. 2019, 19, 1041-1057. DOI:10.5194/acp-19-1041-2019

[9]

Turner SWD, Voisin N, Fazio J. Compound climate events transform electrical power shortfall risk in the Pacific northwest. Nat. Commun. 2019, 10, DOI:10.1038/s41467-018-07894-4

[10]

Chen Y, Wang X, Huang L, Luo Y.Spatial and temporal characteristics of abrupt heavy rainfall events over Southwest China during 1981-2017. Int. J. Climatol. 2021, 41, 3286-3299. DOI:10.1002/joc.7019

[11]

Guo H, He X, Lv X, Wu Y. Risk analysis of rainstorm-urban lifeline system disaster chain based on the PageRank-risk matrix and complex network. Nat. Hazard. 2024, 120, 10583-10606. DOI:10.1007/s11069-024-06613-1

[12]

Rahmani V, Hutchinson S, Harrington J, Hutchinson J. Analysis of frequency and magnitude of extreme rainfall events with potential impacts on flooding: A case study from the central United States. Int. J. Climatol. 2016, 36, 3578-3587. DOI:10.1002/joc.4577

[13]

Zhao X, Qu Z, Zhang J, Sha Y. Risk Assessment and Mitigation Strategies for Rainstorm-Induced Disaster Chains in Northwest China. Nat. Hazard. Rev. 2025, 26, 04024050. DOI:10.1061/NHREFO.NHENG-2163

[14]

Wang Y, Gao G, Zhai J, Liu Q, Song L. Evolution characteristics of the rainstorm disaster chains in the Guangdong-Hong Kong-Macao Greater Bay Area, China. Nat. Hazard. 2023, 119, 2011-2032. DOI:10.1007/s11069-023-06108-5

[15]

Ye Z, Jia X, Liu H, Zhou G, Wang L. Flood disaster chain deduction based on cascading failures in urban critical infrastructure. Reliab. Eng. Syst. Saf. 2025, 261,23. DOI:10.1016/j.ress.2025.111160

[16]

Jones B, Tebaldi C, O’Neill BC, Oleson K, Gao J.Avoiding population exposure to heat-related extremes: Demographic change vs. climate change. Clim. Change 2018, 146, 423-437. DOI:10.1007/s10584-017-2133-7

[17]

Chen H, Sun J, Li H. Increased population exposure to precipitation extremesunder future warmer climates. Environ. Res. Lett. 2020, 15, 034048. DOI:10.1088/1748-9326/ab751f

[18]

Cliff AD, Ord JK. Spatial Processes: Models and Applications; Pion Limited: London, UK, 1981.

[19]

Anselin L. Local indicators of spatial association—LISA. Geogr. Anal. 1995, 27, 93-115. DOI:10.1111/j.1538-4632.1995.tb00338.x

[20]

Jones B, O’Neill BC, McDaniel L. Future population exposure to US heat extremes. Nat. Clim. Change 2015, 5, 652-655. DOI:10.1038/nclimate2631

[21]

Wang T, Miao J, Sun J, Fu Y. Intensified East Asian summer monsoon and associated precipitation mode shift under the 1.5 °C global warming target. Adv. Clim. Change Res. 2018, 9, 102-111. DOI:10.1016/j.accre.2017.12.002

[22]

IPCC. Climate Change 2021: The Physical Science Basis. In Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change; Cambridge University Press: Cambridge, UK, 2021.

PDF (3758KB)

10

Accesses

0

Citation

Detail

Sections
Recommended

/