摘要
土壤质量评价是目前土壤科学的研究热点。数学方法的引入,使土壤质量评价更加客观、准确。介绍和评价了当前常用的几种定量评价的数学模型方法。层次分析模型能很好地将定性评价与定量评价结合在一起,具有较强的逻辑性、系统性。人工神经网络模型则把土壤质量和评价指标之间的非线性关系转化为神经网络模式,有很强的自组织、自调节能力。集对分析模型则将土壤质量评价指标和该项指标质量标准分别视为两个集合,构成一个集对,以它们之间的联系度确定评价指标所处的不同等级。模糊数学模型则综合考虑了土壤质量状况的渐变性和模糊性,使评价结果更符合实际。地理信息系统(global information system,GIS)的引入并结合其他方法,使土壤质量的动态评价与管理成为了可能。
At present soil quality evaluation is one of research focuses for soil science.The introduction of mathematical methods makes soil quality evaluation more objective and accurate.This paper introduces and evaluates several mathematical models commonly used currently.By Analytic Hierarchy Process（AHP） model,the qualitative and quantitative evaluation could be commendably combined.AHP model has good logical and systematic characteristics.The artificial neural networks（ANN）,a non-linear relation between soil quality and evaluating indicators could be translated into neural network mode.It has strong self-organizing and self-adjusting ability.The set pair analysis（SPA） model considers the soil quality evaluating indicators and the indicators’ quality standards as one set pair combining the above two,so as to use their connection degrees to determine the different levels of evaluation.The fuzzy mathematical model takes the gradual changes and ambiguity of soil quality status into consideration,which makes the evaluation results more realistic.The introduction of GIS（global information system） and its combination with other mathematical methods make the dynamic evaluation of soil quality and management possible.
出处
《中国农业科技导报》
CAS
CSCD
2010年第6期56-61,共6页
Journal of Agricultural Science and Technology
基金
中国科学院知识创新工程重大项目(KSCX1-YW-09-07)资助
关键词
土壤质量
评价方法
数学模型
soil quality； evaluation methods； mathematical model
