DEA方法在土壤元素与葵花品质评价中的应用

Application of DEA on Evaluating Soil Element and Sunflower Quality

采用数据包络分析方法(DEA)建立葵花品质评价模型,探讨土壤元素对葵花品质的相对有效性,并以吉林省西部葵花籽产区为例进行实证研究。结果表明:(1)研究区58个土壤样本中,除5个表现为DEA无效外,其余53个均为有效,表明研究区的根系土壤元素对葵花品质影响的有效性程度较好,根系土壤元素含量及结构比例与葵花品质存在着较合理的输入输出关系;(2)对DEA无效的样本,要针对具体情况对土壤环境进行改良,以达到适合葵花生长的最佳条件。该研究有助于确定影响葵花品质的主要地球化学因素,提高该区域的葵花籽品质,以达到充分利用吉林西部大面积的盐碱地的目的。

Data envelopment analysis methods（DEA） were used to establish sunflower quality evaluation model in this paper.And sunflower producing area in Jilin province was being as study area,and to explore the relative effectiveness of soil elements on sunflower quality.The study got two conclusions： One was that,53 soil samples showed that DEA were valid,and 5 samples were invalid.This indicated that,the effect of root soil element to sunflower quality was better in study area;the relationship between outputs with input was more reasonable in the root soil element content and structure proportion and sunflower quality.The other was that,people should improve the soil environment according to some conditions to those samples which DEA were invalid,and to achieve the conditions that were suitable to sunflower.This study was helpful to determine the main geochemical factors that impaired the quality of sunflower,and to improve the quality of sunflower in the area.Then the saline land in the west of Jilin province could be made fully use of.