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Chinese Agricultural Science Bulletin ›› 2023, Vol. 39 ›› Issue (35): 125-133.doi: 10.11924/j.issn.1000-6850.casb2022-0991

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Temporal and Spatial Evolution Characteristics of Rain-waterlogging Events in Henan Province Based on the Analysis of Agricultural Flood Situation

CHEN Jiadong1(), HUANG Jin2, ZAHNG Jinchi1()   

  1. 1 Co-innovation Center for the Sustainable Forestry in Southern China/ Key Laboratory of Soil and Water Conservation and Ecological Restoration of Jiangsu Province/ School of Forestry, Nanjing Forestry University, Nanjing 210037
    2 School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044
  • Received:2022-11-22 Revised:2023-01-09 Online:2023-12-11 Published:2023-12-11
  • Contact: ZAHNG Jinchi

Abstract:

Henan Province is an important grain producing area in China, the analysis of the temporal and spatial evolution characteristics of agricultural flood is of great significance to ensure regional food security. Based on the data of disaster-affected rate and disaster-suffered rate of agricultural flood, daily precipitation in the study area during 1978 to 2019, the possible relationships between the actual disaster situation and various types of rain-waterlogging indices were explored by using the ensemble empirical mode decomposition (EEMD). On this basis, the temporal and spatial evolution characteristics of key disaster-causing factors and their responses to the large-scale ocean atmospheric circulation indices (LOACI) were analyzed. The results showed that: (1) the rain-waterlogging intensity reflected by inter-annual and inter-decadal fluctuations were accurately extracted from the annual disaster series by using EEMD; (2) the correlation analysis between rain-waterlogging intensity and various precipitation indices showed that maximum precipitation during consecutive 7 days in August had the most significant impact on disaster, and the next was the total number of rainfall days in September; (3) the spatial distribution of causing-disaster factors indicated that the risk in south and west of Henan were higher, and the rain-waterlogging intensity in summer presented a weakening tendency; (4) there was a significant correlation between the disaster-causing factors and the circulation indices such as Tropical South Atlantic SST with the lag-time of 6 to 9 months. The key causing-disaster factors of flood in Henan province were screened, and the circulation important signals for predicting disaster in advance were provided.

Key words: Henan Province, rain-waterlogging events, ensemble empirical mode decomposition, circulation indices