Volume 15 Issue 3
Jun.  2024
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Junlin Zhang, Wei Xu, Yu Qiao, Xinli Liao, Chenna Meng, Qinmei Han. A New Method to Identify the Maximum Time Interval between Individual Events in Compound Rainstorm and Heatwave Events[J]. International Journal of Disaster Risk Science, 2024, 15(3): 453-466. doi: 10.1007/s13753-024-00569-3
Citation: Junlin Zhang, Wei Xu, Yu Qiao, Xinli Liao, Chenna Meng, Qinmei Han. A New Method to Identify the Maximum Time Interval between Individual Events in Compound Rainstorm and Heatwave Events[J]. International Journal of Disaster Risk Science, 2024, 15(3): 453-466. doi: 10.1007/s13753-024-00569-3

A New Method to Identify the Maximum Time Interval between Individual Events in Compound Rainstorm and Heatwave Events

doi: 10.1007/s13753-024-00569-3
Funds:

This study was funded by the Joint Funds of the National Natural Science Foundation of China (Grant No. U22B2011), the Ministry of Education and State Administration of Foreign Experts Affairs, China (Grant No. BP0820003), and the Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education (2023-KF-13).

  • Accepted Date: 2024-05-21
  • Available Online: 2024-10-26
  • Publish Date: 2024-06-14
  • Growing evidence indicates that extreme heat and rain may occur in succession within short time periods and cause greater impacts than individual events separated in time and space. Therefore, many studies have examined the impacts of compound hazard events on the social-ecological system at various scales. The definition of compound events is fundamental for such research. However, there are no existing studies that support the determination of time interval between individual events of a compound rainstorm and heatwave (CRH) event, which consists of two or more potentially qualifying component heatwave and rainstorm events. To address the deficiency in defining what individual events can constitute a CRH event, this study proposed a novel method to determine the maximum time interval for CRH events through the change in CRH event frequency with increasing time interval between individual events, using southern China as a case study. The results show that the threshold identified by the proposed method is reasonable. For more than 90% of the meteorological stations, the frequency of CRH events has reached a maximum when the time interval is less than or equal to the threshold. This study can aid in time interval selection, which is an important step for subsequent study of CRH events.
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