摘要
[目的]研究某石油开采场地土壤石油烃(TPH)浓度和总有机碳(TOC)含量的相互关系。[方法]比较不同的回归模型,建立可以用于模拟土壤TPH浓度和TOC含量的线性拟合模型和对数拟合模型。[结果]线性拟合模型和对数拟合模型的决定系数(R2)分别为0.715和0.874;14组验证数据的预测值相对平均偏差分别为9.2%和3.3%,预测模拟Nash-Suttcliffe效率系数(NSC)分别为0.957和0.959。[结论]该模拟研究可以为光谱技术、遥感技术在土壤石油烃含量监测方面的应用提供参考依据。
[Objective] The relationship between the total petroleum hydrocarbons（TPH） and the total organic carbon（TOC） in soil of oil exploitation was studied.[Method] The linear regression model and logarithmic fitting model were developed to simulate the concentrations of TPH and the contents of TOC in the soil by comparing the different regression models.[Result] The determination coefficients（R2） for linear regression model and logarithmic fitting model were 0.715 and 0.874,respectively.The relative average deviations for the predictive values were 9.2% and 3.3% in a validation data set of 14,with the Nash-suttcliffe simulation efficiency coefficients（NSC） of 0.957 for the linear regression model and 0.959 for the logarithmic fitting model.[Conclusion] The established models could provide reference for the application of spectroscopy and remote-sensing technology in the monitoring of petroleum hydrocarbons.
出处
《安徽农业科学》
CAS
2012年第6期3308-3309,3323,共3页
Journal of Anhui Agricultural Sciences
基金
国家"十一五"科技支撑项目(2008BAC43B01)
关键词
石油开采
土壤
石油烃
总有机碳
模型
Oil exploitation
Soil
Total petroleum hydrocarbon（TPH）
Total organic carbon（TOC）
Modeling
