土壤冻融过程中电导率特征分析及模拟

Analysis and Simulation of Soil Electrical Conductivity Characteristics in Soil Freezing and Thawing Process

[目的]通过对土壤冻融过程中电导率特征分析及模拟,为季节性冻土条件下精细农业的发展提供指导作用。[方法]主要通过EM50采集的土壤温度、土壤湿度、土壤电导率数据,对土壤冻融过程中表层土壤电导率的变化特征进行了分析。[结果]土壤电导率并不是随土壤剖面深度的增加而增大,而是土壤剖面20 cm处的土壤电导率最大,并且在土壤融冻期土壤电导率随时间呈现增-减-增-减的变化趋势。通过建立BP神经网络模型对土壤电导率进行模拟预测,得出的土壤电导率模拟值与观测值拟合程度高。[结论]BP神经网络模型可以对土壤电导率的实际观测进行辅助和验证。

[Objective] The research aimed to analyze the variation characteristics of soil electrical conductivity and simulating in the process of soil freezing and thawing. It could provide important guiding significance for the development of precision agriculture under the condition of seasonal frozen soil. [Method] The variation characteristics of soil electrical conductivity of surface soil in freezing and thawing process through large numbers of data concluding soil temperature,soil humidity and soil electrical conductivity were mainly analyzed. [Result] The soil electrical conductivity isn＇t increased with the increase of the depth of soil profile,but it was the biggest when the soil profile was 20 cm.At the same time,soil electrical conductivity presented the trend of increase-decrease-increase-decrease in the soil freezing period. BP neural network model was established for simulating and predicting. It was concluded that fitting degrees of simulated values and observed values were high. [Conclusion] BP neural network model could assist and validate the soil electrical conductivity.