贵州省地下水资源量预测方法研究  

Research on the Prediction Method of Groundwater Resources in Guizhou Province

作　　者：陈可煊 王丽娟[1] 崔鼎 CHEN Kexuan;WANG Lijuan;CUI Ding(Kunming University of Science and Technology Institute of Electrical Engineering,Kunming 650500,China)

机构地区：[1]昆明理工大学电力工程学院,云南昆明650500

出　　处：《水文》2024年第4期77-81,共5页Journal of China Hydrology

基　　金：昆明理工大学省级人才培养基金(KKSY201904022)。

摘　　要：对地下水资源量进行科学预测,以建立合理可行的地下水资源管理制度,可达到开发与保护并重的目的。以贵州省为例,采用三次样条基函数模型、ARIMA模型与LSTM模型对研究区域进行地下水资源量预测。预测结果表明:LSTM模型方法在该研究区域地下水资源量预测方面表现出更高的精度和更好的适用性,可对该区域的地下水资源规划及开发利用提供一定的参考。Scientific prediction of the amount of groundwater resources to establish a reasonable and feasible groundwater resource management system can achieve the purpose of both development and protection.Taking Guizhou Province as a case,the cubic spline basis function model,ARIMA model and LSTM model are used to predict the amount of groundwater resources in the study area.The prediction results show that the LSTM model shows higher accuracy and better applicability in predicting the amount of groundwater resources in the study area,which can provide a certain reference for the planning,development and utili-zation of groundwater resources in the region.

关 键 词：地下水资源量 预测 ARIMA模型 LSTM神经网络模型 

分 类 号：P641[天文地球—地质矿产勘探] TV211[天文地球—地质学]