石油开采土壤石油烃与有机碳关系模型的研究

摘要

[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 spectroseopy and remote-sensing technology in the monitoring of petroleum hydrocarbons.%[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.