杨奇勇, 杨劲松, 姚荣江, 黄 标, 孙维侠. 基于GIS和改进灰色关联模型的土壤肥力评价[J]. 农业工程学报, 2010, 26(4): 100-105.
    引用本文: 杨奇勇, 杨劲松, 姚荣江, 黄 标, 孙维侠. 基于GIS和改进灰色关联模型的土壤肥力评价[J]. 农业工程学报, 2010, 26(4): 100-105.
    Comprehensive evaluation of soil fertility by GIS and improved grey relation model[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(4): 100-105.
    Citation: Comprehensive evaluation of soil fertility by GIS and improved grey relation model[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(4): 100-105.

    基于GIS和改进灰色关联模型的土壤肥力评价

    Comprehensive evaluation of soil fertility by GIS and improved grey relation model

    • 摘要: 运用在山东省禹城市开展的系统土壤调查采样和室内化验分析获得的土壤肥力各要素数据信息基础上,在GIS技术支持下,综合利用采样点肥力要素和空间信息数据,通过运用层次分析法、模糊评价等方法改进灰色关联模型,实现了土壤肥力综合评价定量化、自动化。评价获取了研究区土壤肥力等级面积及其分布信息,与实地调查分析结果相符,表明运用该技术方法对土壤肥力评价的可行性和科学性。该法开展的肥力评价对土壤资源的科学管理和可持续利用具有积极意义,并可为研究区提升土壤质量提供科学参考。

       

      Abstract: Taking a field of Yucheng City, Northeast of Shandong province, as our study area, this paper intends to research for quantitative methods for soil fertility evaluation. Based on the plentiful information that obtained by field-survey, soil sampling and lab analysis, the automatic and quantitative evaluation procedure was realized by adopting the improved Grey Relation Model and supported by GIS techniques. The Grey Relation Model was improved by utilizing analytics hierarchy process and fuzzy math. The area and spatial distribution information of soil fertility grades were acquired, and the results were consistent with local conditions according to field-survey and lab analysis. The approach was feasible and effective in soil fertility evaluation. This research contributes significantly to scientific management and sustainable use of soil resources and provides consults to improve soil quality.

       

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