基于灰色时间序列随机组合模型在地下水埋深预测中的应用OA

Groundwater resources are an important basic resource supporting regional food production.In order to solve the problem of continuous decline in shallow groundwater levels in Hebei Province,tak-ing Cangzhou,a typical plain area in Hebei Province,as an example,based on the observation data of wa-ter level monitoring wells from 2007 to 2022,a random combination model of groundwater depth and grey time series is constructed using MATLAB software combined with the principle of grey time series,revea-ling the variation law of groundwater depth in Cangzhou,which provides a basis for the sustainable devel-opment and utilization of groundwater resources in the plain areas of Cangzhou and even Hebei Province.Through relevant simulation methods,it has been confirmed that the model is concise,practical,and has high accuracy.The research results indicate that in the next three years(2023-2025),if the current devel-opment trend is followed,the groundwater level in Cangzhou will continue to decline with an average annu-al decrease of about 1.45m.