河北水利电力学院学报2024，Vol.34Issue(1)：54-60,7.DOI:10.16046/j.cnki.issn2096-5680.2024.01.010
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
Application of Grey Time Series Random Combination Model in Groundwater Depth Prediction:A Case Study of Cangzhou
摘要
Abstract
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.关键词
沧州市/地下水埋深预测/时间序列/自相关Key words
Cangzhou/prediction of groundwater depth/time series/auto correlation分类
天文与地球科学引用本文复制引用
韩超,刘晓延,刘佳峻,贺云鹏,温永福,刘娟..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[J].河北水利电力学院学报,2024,34(1):54-60,7.基金项目
2023年度河北省水利科研与推广计划项目(2023-84) （2023-84）
2023年度河北省水利科研与推广计划项目(2023-27) （2023-27）
河北大学生创新创业训练计划项目(S202310085040) （S202310085040）
河北水利电力学院2023年度基本科研业务费产学研专项项目(SYKY2342) （SYKY2342）
2022年沧州市科技计划自筹经费项目(222109002) （222109002）
