山西晋祠泉复流时间的人工神经网络预测  

Research on the Resuming Flow Time of Jinci Spring by Using the Artificial Neural Networks Technique in Shanxi Province

作　　者：孙才志[1] 宫辉力 

机构地区：[1]北京师范大学环境科学研究所

出　　处：《山地学报》2001年第4期372-376,共5页Mountain Research

基　　金：国家重点基础研究项目- 973项目 (G1990 3 64 0 6)资助

摘　　要：由于岩溶地下水的长期过量开采 ,晋祠泉自 1994年出现断流至今 ,目前正在兴建中的万家寨引黄工程将使晋祠泉域的地下水得到一定程度的涵养 ,因此晋祠泉能否与何时复流已经成为许多人关心的问题。针对上述问题 ,本文应用一种改进的人工神经网络的方法来分析预测晋祠泉的流量变化态势 。Owing to the long time & over pumping Karst groundwater in Jinci spring field,the Jinci spring has been drying up since 1994,the project of Wanjiazhai which is for transferring surface water of Yellow River may relax the intense situation between provision and demand of groundwater in Jinci spring field in some degree,and now the questions that whether Jinci spring can recover and when Jinci spring may appear again attract many people's notice. On consideration these questions, this paper applied an revised artificial neural networks to analyze and predict the changing tendency of Jinci spring's runoff, and the approximate time of resuming flow was given.

关 键 词：人工神经网络 山西 晋祠泉 复流时间 岩溶地下水 万家寨引黄工程 

分 类 号：P641.2[天文地球—地质矿产勘探] P642.25[天文地球—地质学]