Climate Change Research ›› 2022, Vol. 18 ›› Issue (2): 142-153.doi: 10.12006/j.issn.1673-1719.2021.188

• Impacts of Climate Change • Previous Articles     Next Articles

The risk regionalization of regional continuity rainstorm processes in China during 1961-2019

MA Zheng1, WANG Guo-Fu2(), ZHANG Ying-Xian2   

  1. 1 College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
    2 National Climate Center, China Meteorological Administration, Beijing 100081, China
  • Received:2021-08-25 Revised:2021-10-14 Online:2022-03-30 Published:2022-02-18
  • Contact: WANG Guo-Fu


Regional Continuity Rainstorm Proceses (RCRP) were analyzed by using the idea of continuous rainstorm tracking and the daily precipitation data of 2481 meteorological stations in China from 1961 to 2019. According to the duration, sphere of influence, maximum daily precipitation and maximum process precipitation of the RCRP, the hazard assessment model and risk regionalization were established and improved. The results show that a total of 2294 RCRP occurred in China from 1961 to 2019, and the risk of each of the top 10 RCRP ranked by the comprehensive intensity index was consistent with the historical record. The spatial distribution of RCRP' risk is similar to the distribution of climate precipitation in China, and it gradually decreases from southeast to northwest. The high risk areas of RCRP in China are located in South China and Jiangnan region. The seasonal spatial distribution of the risk is related to the characteristics of precipitation in the same season. The high risk level of spring RCRP in South China reflects the influence of the first flood season in South China. The risk of RCRP in North China and Northeast China in summer is higher than that in other seasons, and the high risk in coastal areas reflected the influence of typhoon and rainstorm. The high risk of autumn RCRP mainly reflects the influence of autumn rain in West China. The single RCRP risk regionalization represents the distribution of the rainstorm and flood disaster degree, and can intuitively judge the distribution of the rainstorm and flood disaster caused by the RCRP. The study enhances the understanding of the evolution of RCRP and is of great significance in predicting the intensity of regional risk in different seasons and sub-seasons of RCRP in the future, and preventing the risk of rainstorm and flood disasters it might bring about.

Key words: Regional Continuity Rainstorm Process (RCRP), Risk assessment model, Risk regionalization

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