Evaluation of Regional Drought Evolution and Regularity Based on Cloud Computing Model and Copula Function

Drought is a natural disaster that seriously affects agricultural production and ecological environment. This article studied the evolution and patterns of regional drought based on cloud computing models and Copula functions. By analyzing the drought index, the trend and pattern of regional drought evolution were obtained, and corresponding response measures were proposed. This article analyzed and explored the regional drought evolution model based on cloud computing from three aspects: factors affecting the spatiotemporal evolution of drought, evaluation of regional drought evolution laws, and spatial distribution characteristics of regional drought. Through in-depth analysis and research, it was possible to more accurately evaluate the degree of drought in arid areas and provide important basis for formulating drought prevention strategies. The cloud computing model and the correlation function can effectively assess the evolution law of regional drought. Through the cloud computing model, we obtained the drought index for each time node, and observed the evolution trend of the drought through the correlation function. Quantitative and qualitative analysis demonstrated the high accuracy and reliability of our model.