Abstract
Extreme precipitation events (EPEs) can cause hydrological disasters such as floods, landslides, and debris flows, which have a great impact on socioeconomics, ecosystems, agriculture, and water resources. These events can have high intensities, long durations, and a wide influence, which can seriously affect the sustainable development of a social economy. In this study, the extreme precipitation threshold and regional EPEs were determined for Liaoning Province, China, using the daily precipitation grid data from 1961 to 2019. The strongest of the EPEs are those events that have the highest relative intensity. By applying the intensity–area–duration method to the strongest EPEs, the relationships between the affected areas, intensities, and spatial distributions as well as the variation characteristics on a regional scale for different durations were analyzed. The population and gross domestic product exposed to typical EPEs were also analyzed. The results showed that (1) the spatial distribution of the total number of days of EPEs in Liaoning Province decreased from east to west. (2) The relative intensity of EPEs with different durations (1, 2, or ≥ 3 days) was higher in the 1960s, 1990s, and 2010s, and it decreased as the duration increased. (3) The EPEs affected areas with short and long durations exhibited increasing and decreasing trends, respectively. The maximum areas affected lasted for 1, 2, and ≥ 3 days accounted for 97%, 47%, and 16% of the total area of Liaoning Province, respectively. (4) Long-duration EPEs have a large area of influence, with the greatest risks to high-exposure areas. This study provides a reference for the study of regional EPEs.
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Data availability
We acknowledge the use of data from the National Meteorological Information Centre of the Chinese Meteorological Administration (http://data.cma.cn/) and the National Science and Technology Infrastructure Platform-National Earth System Science Data Sharing Platform (http://www.geodata.cn/).
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This work was supported by the National Natural Science Foundation of China (grant number 42201039).
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All authors contributed to the study conception and design. Data collection and analysis were performed by Jin Sun and Yiqin Zhao. The first draft of the manuscript was written by Ying Li and Meijiao Liu. All authors read and approved the final manuscript.
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Li, Y., Liu, M., Sun, J. et al. Analysis of extreme precipitation event characteristics and typical events based on the intensity–area–duration method in Liaoning Province. Theor Appl Climatol 152, 201–211 (2023). https://doi.org/10.1007/s00704-023-04381-9
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DOI: https://doi.org/10.1007/s00704-023-04381-9