基于数量化理论Ⅰ的冬凌草叶中铅含量预测

Forecast of Pb Concentation in Rabdosia rubescens Based on Quantitative Theory(Ⅰ)

目的:利用数量化理论方法筛选影响冬凌草Pb含量的关键因子,为冬凌草Pb污染水平预测及调控提供依据。方法:冬凌草Pb质量分数采用等离子发射光谱法测定,生态环境因子为样地调查实测和收集产地环境监测资料相结合,采用数量化方法 I拟合曲线分析。结果:经多因子筛选,确定影响冬凌草铅含量(Y)的贡献值最大的关键因子分别为:土壤Pb含量(X1),降水p H值(X6),污染源(X3),公路距离(X4)。结论:建立的冬凌草铅含量预测模型,可为冬凌草药源铅污染程度科学评估和有效防控提供依据。

Objective： To establish the prediction model of Pb concentration at significant level of the ecological environment factors by using quantitative theory, and provide the basis for the prediction and control of the pollution level of Pb in Rabdosia rubescens. Methods： The Pb mass fraction of R. rubescens was measured by plasma emission spectrometry. The ecological environmental factors were combined using the methods of field investigation and collecting the environmental monitoring data, and the fitting curve of I was analyzed by the method of quantitative analysis. Results： The key factors affecting the contribution of the lead （Pb） content （Y） were ： soil lead （Pb） content （ X1 ）, pH value of rainfall （ X6 ）, pollution source （ X3 ）, and road distance （ X4 ）. Conclusion ： The forecast model of Pb content in R. rubescens can provide the basis for the scientific evaluation of its pollution degree and effective prevention and control.