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中国农学通报 ›› 2017, Vol. 33 ›› Issue (6): 139-143.doi: 10.11924/j.issn.1000-6850.casb16040116

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

半梯形隶属函数下土壤养分流失的模糊数学模型——以皖南山区为例

万家山,汪忠国,孙怡川,陈蕾,吴云志   

  1. 安徽工程大学机电学院 芜湖,安徽工程大学机电学院 芜湖,安徽工程大学机电学院,安徽工程大学机电学院 芜湖,安徽农业大学信息与计算机学院 合肥
  • 收稿日期:2016-04-19 修回日期:2017-02-20 接受日期:2016-06-20 出版日期:2017-03-02 发布日期:2017-03-02
  • 通讯作者: 孙怡川
  • 基金资助:
    “退货依赖努力水平和销售价格的供应链协调研究”(KJ2016A074);安徽省自然科学基金项目“基于数据挖掘技术的教学质量预警模型研 究”(KJ2016A075);国土资源部公益性行业科研专项“巢湖流域土地优化利用的技术支持系统研究”(201411006);2014 安徽农业大学学科骨干培育项 目(2014XKPY-64)。

Fuzzy Mathematics Model of Soil Nutrient Losses Under Semi-trapezoid Subordinate Function: A Case Study of Southern Mountainous Area in Anhui

汪忠国,孙怡川,陈蕾 and   

  • Received:2016-04-19 Revised:2017-02-20 Accepted:2016-06-20 Online:2017-03-02 Published:2017-03-02

摘要: 研究旨在通过皖南山区土壤检测报告给定的一些数据和信息分析养分流失程度,为合理的土壤养分管理提供可靠依据。采用指导性抽样选取样本,利用半梯形隶属度函数构建模糊数学模型,结合变异系数法Coefficient of variation method,计算出不同地形类别的土壤养分流失程度。以MATLAB仿真软件生成土壤养分的分布情况为直观依据,构建模糊数学模型发现多坡地的丘陵区域土壤养分流失最为严重。该模型的分析结果更贴近该地区土壤养分现状。研究验证了模糊数学模型在山区耕地土壤养分流失研究中的实用性。该模型能够很好的评估出土壤养分流失程度,为科学施肥护壤提供了理论依据。

关键词: 氮肥, 氮肥, 玉米, 氮效率, 干物质, 籽粒发育

Abstract: The study aims to analyze soil nutrient losses level according to the data and information from soil testing in southern mountainous area in Anhui, and provide reference for soil nutrient management. Samples were selected under directed sampling and fuzzy mathematics model was built by semi-trapezoid subordinate function, and combined with variation coefficient method, soil nutrient losses level was calculated in different land features. The results showed that a fuzzy mathematics model was built on the soil nutrients distribution situation generated by simulation software MATLAB, and the model indicated that soil nutrient losses situation was most serious in hilly land with sloping fields. The results were closed to soil nutrient condition. The study verified the practicability of fuzzy mathematics model in the study of soil nutrient losses of farmland in mountainous area, which could assess soil nutrient losses level and provide theoretical foundation for scientific fertilization and soil protection.

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