论文部分内容阅读
冲积土壤剖面的质地层次分异是该类土壤的重要特性，对农田水分转化和溶质运移具有重要影响。要准确地定量农田水转化和溶质运移，定量模拟区域冲积土壤质地剖面是十分必要的。本文依据已取得的研究结果，采用Markov链理论提出了区域冲积土壤质地层次的随机模拟模型——MC模型和MC－LN模型，采用蒙特卡罗方法模拟了研究区的土壤质地剖面，并与实测结果进行了对比。结果表明，两模型模拟结果均很好地反映出了区域土壤剖面质地层次的垂向变化规律，但在质地层次厚度的分布上，MC模型结果偏差较大，而MCLN模型模拟结果与实测结果颇为一致。
Hierarchical stratification of alluvial soil profiles is an important characteristic of these soils and has an important impact on the conversion of farmland water and solute transport. To accurately quantify farmland water conversion and solute transport, it is necessary to quantitatively simulate the alluvial soil texture profile. Based on the research results obtained in this paper, Stochastic simulation models of soil alluvial soil texture (MC model and MC-LN model) are proposed by using Markov chain theory. The soil texture profile of the study area is simulated by Monte Carlo method, The results are compared. The results show that the results of the two models all reflect the vertical variation of the texture level of the soil profile in the region. However, in the distribution of the thickness of the texture layer, the results of the MC model deviate greatly. However, the simulation results of the MCLN model are quite different from the measured results For the same.