摘要
以辽河流域表层土壤54项元素的测试指标为依据,利用自组织特征影射(SOM)神经网络和C-均值将辽河流域分成A、B、C、D、E 5个区域.A区土壤的有机质含量高,N和P含量充足,各种微量元素含量均衡且有较高的含量水平,土壤肥沃.B区土壤中的大多数元素平均含量整体均衡,略低于A区土壤,但高于C区.C区土壤的硅、钾含量高,但多数元素和微量含量低,农作物所需的营养元素含量低,是极度贫瘠的土地.D区是滨海高卤族元素地球化学区,土壤元素含量的总体特征是卤族元素Br、Cl和I的含量很高,是全国土壤背景值的几倍至上百倍.E区土壤受人为因素影响,重金属元素含量高,主要沿交通干线分布在大中城市地区,污染强度及面积与城市规模有相关性.该研究对辽河流域人体健康、经济作物开发、生态环境治理具有较大意义.
This paper divided the Liaohe River Basin into A,B,C,D and E 5 areas based on the 54 elements content of the surface soil by the neural network method,self-organizing feature mapping(SOM),and cluster analysis method,C means.The results showed that: the soil in A District is fertile with high organic matter content,high and equal N,P and various trace elements content.The most elements content in the soil of B District are equilibrium and slightly lower than that of A District but higher than that of C District.The soil in C District is barren with higher content of Si and K,and lower content of trace element and nutrient elements.The soil in D district has extremely high content of halogen element such as Br,Cl and I,which is a few times to hundreds of times of the content in national soil background.The soil in E District has higher heavy metals content which is affected by the human disturbance and distributed around the main traffic trunk of the large city areas.The research has great significance for the human health,economic crop development and ecological environmental government of Liaohe River Basin.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2012年第2期222-226,共5页
Journal of Liaoning Technical University (Natural Science)
基金
教育部基本科研业务费基金(N100401006)
国土资源部公益性行业科研专项基金(2011111002-02)
关键词
多目标地球化学
辽河流域
表层土壤
微量元素
地球化学分区
神经网络
C-均值聚类
重金属
multi-object geochemistry
Liaohe River Basin
surface soil
trace element
district of geochemistry
neural networks
c-means clustering
heavy metal.
