• 责任者：Song Hongwei (Institute of Hydrogedogy and Environmental Geology ; CAGS ; Shijiazhuang 050061 ; China) ; Shi Jiansheng
• 刊名：Geology in China
• 出版年：2012
• 卷期：39(4)
• 关键词：地下水储量 ; groundwater reserves ; 神经网络系统 ; neural network system ; 华北平原 ; North China Plain ; 河套盆地 ; Hetao Basin
• 页码：p.1081-1086
• 图表：2 illus., 6 tables, 14 refs.
• 分类号：1900
• issnNo：ISSN1000-3657
• isbnNo：CN11-1167/P

This paper has introduced the technology of artificial network into the modeling of underground water content forecast. Hetao Plain and Huabei plain were chosen as the testing ground with a number of known local agro-wells as the verification sites.  Then, the comprehensive parameter was added to improve the inputting neurons. Finally, the quantitative prediction model of the water content was established. The results of mean-variance test show that this technique has a good effect in the plain area. The study has provided a new concept and a new idea for the forecasting work in hydrogeological exploration.