Identification and Risk Characteristics of Agricultural Drought Disaster Events Based on the Copula Function in Northeast China

• Published in: Atmosphere Vol. 13; no. 8; p. 1234
• Main Authors: Zhang, Shujie, Wang, Ping, Wang, Dongni, Zhang, Yushu, Ji, Ruipeng, Cai, Fu
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-08-2022
• Subjects: Agricultural drought; agricultural drought event identification; Agricultural management; Agricultural production; Agriculture; Bivariate analysis; bivariate threshold indicators; China; Climate change; Climatic changes; Conditional probability; Corn; Crop development; Crop water; Crops; Disasters; Distribution; Drought; Drought characteristics; Droughts; Duration; Emergency preparedness; Environmental aspects; Environmental risk; Extreme drought; Extreme values; Food security; Heat; Identification; improved crop water deficit index; Influence; Methods; Mitigation; Moisture content; Moisture effects; Mountain regions; Mountainous areas; Precipitation; Probability theory; Rain; risk assessment; Risk management; Seasons; Soil moisture; Soil moisture content; Spatial distribution; Technical services; Water content; Water deficit; Water shortages; Water supply; China
• ISSN: 2073-4433; 2073-4433
• DOI: 10.3390/atmos13081234

Accurate feature identification of drought disaster events is required for proper risk management in agriculture. This study improved the crop water deficit index (CWDI) by including the daily meteorological, crop development stage, soil moisture content, and yield data for 1981–2020 in northeastern China. Two drought characteristic variables (drought duration and intensity) were extracted using the theory of runs to produce the improved crop water deficit index (CWDIwp). Thresholds for the bivariate indicators were also determined for agricultural drought events of varying severity. A joint distribution model for drought variables was constructed based on five types of Archimedean copulas. The joint probability and the joint recurrence period for agricultural drought events were analyzed for drought events with varying intensities in northeast China. The results suggest that the CWDIwp can reliably identify the onset, duration, and intensity of drought events over the study area and can be used to monitor agricultural drought events. The conditional probability of drought intensity (duration) decreased as the drought duration (intensity) threshold increased, whereas the drought recurrence period increased as the threshold for drought duration and intensity rose. In the period (1981–2020), drought intensity in the three Northeastern provinces showed an increasing trend in the order Jilin Province > Liaoning Province > Heilongjiang Province. The spatial distribution of the joint probability and the joint recurrence period was obvious, and the joint probability showed a decreasing distribution trend from west to east. The distribution trend for the joint probability was opposite to that of the joint recurrence period. Furthermore, the areas with high drought probability values corresponded to the areas with low values for the recurrence period, indicating that the drought occurrence probability was higher, and the recurrence period value was lower in the drought-prone areas. The high-risk drought areas (60–87%) were in western Liaoning and western Jilin, with a recurrence period of 1–3 years, whereas the low-risk areas (<40%) were located in the mountainous areas of eastern Liaoning and eastern Jilin. The joint probability and joint recurrence period for agricultural drought events of varying severity were quite different, with the probability following the order light drought > moderate drought > severe drought > extreme drought. The order for the recurrence period was light drought < moderate drought < severe drought < extreme drought. The results provide technical support for disaster prevention and mitigation in drought risk management.