摘要
以吉林省西部地区乾安县为例，应用人工神经网络模型和趋势面分析等数学方法，对该区土壤盐渍化与地下水动态特征之间的关系进行了研究。结合土壤盐渍化的预测结果及其与地下水潜水埋深之间的关系曲线，提出了防治该区土壤盐渍化的对策。
Taking Qianan county in the west plain of Jilin province as an example, the relation between soil salinization and underground water dynamics is studied deeply with artificial nevral network model and tendency analysis. Combining the result of prediction of salinization, some ways for the prevention and control of soil salinization are put forward.
出处
《水土保持通报》
CSCD
北大核心
1999年第6期11-15,共5页
Bulletin of Soil and Water Conservation
基金
国家自然科学基金!(4967212)
关键词
土壤盐渍化
地下水
人工神经网络
趋势面分析
soil salinization
underground water
artificial nerval network
tendency analysis
