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基于Markov链的土壤盐渍化动态变化预测
  • 期刊名称:农业工程学报, Vol.26(sup2),2010
  • 时间:0
  • 分类:S151.92[农业科学—土壤学;农业科学—农业基础科学]
  • 作者机构:中国农业大学资源与环境管理学院,北京100193
  • 相关基金:国家自然科学基金资助项目(40871103)
  • 相关项目:银川平原土壤盐渍化演变时空模拟与图谱分析模型的研究
中文摘要:

对平罗县101个耕地土壤样点的进行统计分析和冗余分析,得到各层土壤盐分数据的基本特征,以及各要素的相关性和影响盐渍化指标的主要离子。结果表明:1)该区各层土壤都呈盐渍化状态,有明显的盐分表聚现象。2)RDA结果显示前2个排序轴反映了该区80%以上的土壤盐渍化信息,排序轴与环境因子的线性结合程度较好的反映了盐渍化指标与盐分离子之间的关系。3)与常规统计方法相比,RDA所包含的信息量更大,而且能够更直观地表达研究区土壤盐渍化特征以及影响盐渍化指标的主要因素,是分析盐渍化信息的有效方法,能够为区域盐渍化评价和治理以及土地利用管理提供科学依据。

英文摘要:

The statistical analysis and Redundancy Analysis(RDA)of 101 soil profile samples in cultivated land of Pingluo County were taken to obtain the basic characteristics of the salinity data,the correlation of the elements and the major ions affecting the salinization indicators in each soil layers.Results indicated that:1)All soil layers were in the salinization state and there was an obvious phenomenon of salt accumulation in surface soil;2)The RDA results showed that the first two axes explained at least 80% of the salinization information.The linear combination of the axes and environmental factors reflected the relationship between the salinization indicators and salt ions well;3)Compared with conventional statistical methods,RDA contains a greater amount of information,also can more intuitive to express the characteristics of soil salinization and the main factors influencing the salinization indicators in the study area.RDA was an effective method for analyzing salinization information.It could provide a scientific basis for evaluation and governance of land salinization and land use management.

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