Prediction of the number of flood victims based on improved gray Markov models

Aiming at the problem of low accuracy in predicting the number of people affected by floods under flood disaster scenarios, the article proposes an improved gray Markov model based on the gray model using Markov theory and sparrow search algorithm. The article uses Markov theory to correct the residuals of the gray prediction model, and uses SSA algorithm to optimize the whitening coefficients of each state interval of the gray Markov model.The number of people affected by the disaster is predicted using the gray model and the gray Markov model respectively, and compared with the improved gray Markov model, and the results show that the established prediction model has a smaller error compared with the gray Markov model and the gray model, and has feasibility and practicality.