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[1]CHEN Jiadong,TIAN Hongwei,HUANG Jin,et al.Temporal and Spatial Evolution Characteristics of Drought in Henan Province with Using EEMD on the Agricultural Disaster Situation[J].Research of Soil and Water Conservation,2023,30(05):250-256,265.[doi:10.13869/j.cnki.rswc.2023.05.021.]

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Temporal and Spatial Evolution Characteristics of Drought in Henan Province with Using EEMD on the Agricultural Disaster Situation

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 05 Page number: 250-256,265 Column: Public date: 2023-08-10

Title:: Temporal and Spatial Evolution Characteristics of Drought in Henan Province with Using EEMD on the Agricultural Disaster Situation

Author(s):: CHEN Jiadong¹, TIAN Hongwei^2,3, HUANG Jin⁴, ZHANG Jinchi¹; (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,China; 2.China Meteorological Administrator/Henan Provincial Key Laboratory of Agrometeorological Safeguard and Applied Technique,Zhengzhou 450003,China; 3.Henan Institute of Meteorological Sciences,Zhengzhou 450003,China; 4.School of Applied Meteorology,Nanjing......)

Keywords:: Henan Province; drought; empirical mode decomposition; circulation indices

CLC:: P426

DOI:: 10.13869/j.cnki.rswc.2023.05.021.

Abstract:: [Objective] Henan Province is an important grain producing area in China, the analysis on the temporal and spatial evolution characteristics of agricultural drought is of great significance to ensure regional food security. [Methods] Based on the data of ratio of area affected by agricultural drought, ratio of area suffering agricultural drought and monthly precipitation in the study area during the period from 1978 to 2019, the possible relationships between the actual disaster situation and various types of drought indexes were explored by using the set empirical mode decomposition(EEMD). On this basis, the temporal and spatial evolution characteristics of key causing-disaster factors and their responses to the large-scale ocean atmospheric circulation indices(LOACI)were analyzed. [Results] The climatic drought intensity characterized by inter-annual and inter-decadal fluctuations were accurately separated from the annual series of disaster situation by using EEMD. The correlation analysis between various drought indices and climatic drought intensity showed that summer drought had the most significant impact on the disaster situation, and the number of dry-days in June, July and August were selected as the key causing-disaster factors. The spatial distribution of key causing-disaster factors showed that the risk of summer drought in the north Henan was higher, and the trend analysis indicated that the drought risks presented an intensifying tendency. There were the significant time-lag correlations between the circulation indices such as North Atlantic Oscillation(NAO)and causing-disaster factors. [Conclusion] The summer drought represented by the number of dry-days had the higher contribution to disaster situation in Henan Province, and the circulation indices provided the important signals for predicting drought in advance.

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Last Update: 2023-08-10