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石油开采土壤石油烃与有机碳关系模型的研究
引用本文:李鱼,杜显元,邹乔,李晓丽,李兴春.石油开采土壤石油烃与有机碳关系模型的研究[J].安徽农业科学,2012(6):3308-3309,3323.
作者姓名:李鱼  杜显元  邹乔  李晓丽  李兴春
作者单位:华北电力大学能源与环境研究院,北京,102206;中国石油安全环保技术研究院,北京,100083
基金项目:国家"十一五"科技支撑项目
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。

关 键 词:石油开采  土壤  石油烃  总有机碳  模型

Modeling of Petroleum Hydrocarbon and Organic Material in the Soil of Oil Exploitation
Institution:LI Yu et al(Energy and Environmental Research Academy,North China Electric Power University,Beijing 102206)
Abstract: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.
Keywords:Oil exploitation  Soil  Total petroleum hydrocarbon(TPH)  Total organic carbon(TOC)  Modeling
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