CN109298002B - Method for predicting degradation rate of sodium persulfate for repairing petroleum hydrocarbon polluted soil - Google Patents

Method for predicting degradation rate of sodium persulfate for repairing petroleum hydrocarbon polluted soil Download PDF

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CN109298002B
CN109298002B CN201810815466.5A CN201810815466A CN109298002B CN 109298002 B CN109298002 B CN 109298002B CN 201810815466 A CN201810815466 A CN 201810815466A CN 109298002 B CN109298002 B CN 109298002B
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petroleum hydrocarbon
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蔡喜运
黄毅
赵小学
席普宇
乔显亮
陈景文
郑永权
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Dalian University of Technology
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Abstract

The invention belongs to the technical field of soil remediation, and provides a method for predicting the degradation rate of sodium persulfate in remediation of petroleum hydrocarbon contaminated soil. Aiming at the problem that the sodium persulfate has large difference in the remediation effect on the petroleum hydrocarbon pollution of different soils, the remediation effect is considered to be influenced by the factors such as the content of mineral elements in the soil, the content of organic matters in the soil, the total amount and effective state of the petroleum hydrocarbon, the remediation conditions and the like. A series of soil remediation experiments are carried out, and a model of the correlation between the soil petroleum hydrocarbon degradation rate and various factors is constructed by adopting a multiple secondary regression method. And the model is verified, so that the model has good prediction capability, the degradation rate of the sodium persulfate in different soils for remedying the petroleum hydrocarbon pollution can be effectively predicted, and the method has guiding significance on the application of the sodium persulfate in the remediation of the petroleum pollution in the soils.

Description

Method for predicting degradation rate of sodium persulfate for repairing petroleum hydrocarbon polluted soil
Technical Field
The invention belongs to the technical field of soil pollution remediation, and particularly relates to a method for predicting the degradation rate of petroleum hydrocarbon polluted soil remediated by sodium persulfate.
Background
In the process of petroleum exploitation and petrochemical engineering, soil petroleum pollution is increasingly serious due to the leakage of crude oil, the falling of crude oil, the irrigation of waste water, the improper treatment of oily sludge and the like, so that the microbial community structure in soil is damaged, the quality and the yield of agricultural products are reduced, and the human health is seriously threatened. Oil pollution of soil is one of the environmental problems which need to be solved urgently.
The petroleum pollutants have complex composition and uneven concentration distribution, contain a large amount of substances (such as long-chain alkane, polycyclic aromatic hydrocarbon and the like) which are difficult to degrade and easy to adsorb, and are difficult to remove greatly. At present, chemical oxidation technology is generally used for treating soil petroleum hydrocarbon pollution, common oxidants include fenton reagent, potassium permanganate, calcium peroxide, sodium persulfate and the like, wherein sodium persulfate is frequently used as the oxidant for chemical oxidation remediation technology due to good stability, high solubility, easy mass transfer and multiple activation modes. Patent CN 105149338A discloses a method for restoring petroleum-polluted soil by sodium persulfate, which utilizes the combination of ferrous salt and ultraviolet light to activate the sodium persulfate, and has high petroleum removal rate and short restoration time. Patent CN 106811205A discloses a method for remedying petroleum hydrocarbon contaminated soil by persulfate coupled with indigenous microorganism stimulation, wherein the contaminated soil is oxidized by persulfate, and then is remediated by adding an indigenous microorganism nutrient source stimulator. Therefore, the sodium persulfate has good environmental benefit and economic benefit in the soil petroleum pollution remediation.
However, the types of the soil are various, the composition is complex, and the occurrence forms of petroleum hydrocarbon in different types of polluted soil are different, so that the repair effect in practical application is difficult to predict. The soil remediation experiment is carried out to evaluate the remediation effect, the operation period is long, and the cost is high, so that the establishment of a method for predicting the degradation rate of sodium persulfate for degrading soil petroleum hydrocarbon is particularly important. Because three factors, namely the composition and the property of soil, the occurrence form of petroleum hydrocarbon in the soil and the repair condition, have obvious influence on the effect of sodium persulfate on repairing the petroleum hydrocarbon pollution of the soil, a prediction model for the degradation rate of the soil polluted by the sodium persulfate and the petroleum hydrocarbon is constructed on the basis of the composition and the property of the soil, the occurrence form of the petroleum hydrocarbon in the soil and the repair condition, and the method has good guiding significance on the application of the sodium persulfate in the soil petroleum pollution repair.
Disclosure of Invention
The invention provides a method for predicting the degradation rate of sodium persulfate for repairing soil petroleum hydrocarbon pollution through soil components, petroleum hydrocarbon occurrence forms and repairing conditions. According to the method, through measuring the soil components and the occurrence forms of the petroleum hydrocarbons, a correlation relation model between the degradation rate of the petroleum hydrocarbons in the soil and the soil components, the effective states of the petroleum hydrocarbons and the repairing conditions is established, and the degradation rate of the sodium persulfate for degrading the petroleum hydrocarbons in the target soil is predicted.
The technical scheme of the invention is as follows:
a prediction method for the degradation rate of sodium persulfate for repairing petroleum hydrocarbon contaminated soil comprises the following steps:
(1) determination of soil composition, properties and occurrence of pollutants
Acquiring the content of a soil transition metal element, the content of soil organic matters, the pH value of soil, the total concentration of soil petroleum hydrocarbon and the effective state concentration; the content of transition metal elements in the soil is measured by an X-ray fluorescence analyzer, and the transition metal elements comprise one or more of titanium, iron and manganese; the content of organic matters in the soil is measured by a potassium dichromate volumetric method; the soil pH is determined according to the standard (NY/T1377-2007) by adopting a water-soil ratio of 2.5: 1; extracting the total concentration of the soil petroleum hydrocarbon by carbon tetrachloride oscillation, and measuring by an infrared spectrophotometer; extracting the effective state concentration of the soil petroleum hydrocarbon by hydroxypropyl-beta-cyclodextrin, and measuring by an infrared spectrometer;
(2) determination of degradation rate of petroleum hydrocarbon under different remediation conditions
Carrying out petroleum hydrocarbon remediation on the soil by adopting a uniform design method, wherein the using amount of sodium persulfate is 5-30% of the mass of the soil, the water-soil ratio is 0.5-3, and the remediation is carried out under the constant-temperature shaking condition at 25 ℃; after 48 hours, centrifugally dewatering and drying in the shade the repaired soil, extracting the soil after drying in the shade by oscillation of carbon tetrachloride, measuring the residual quantity of petroleum hydrocarbon by an infrared spectrophotometer, correcting the residual quantity of the petroleum hydrocarbon in the soil according to the moisture content of the soil, and calculating the degradation rate of the petroleum hydrocarbon;
(3) establishment of soil petroleum hydrocarbon degradation rate prediction model
Taking the soil petroleum hydrocarbon degradation rate as a dependent variable, taking the soil transition metal element content, the soil organic matter content, the soil petroleum hydrocarbon total concentration, the soil petroleum hydrocarbon effective state concentration, the percentage of the petroleum hydrocarbon effective state concentration to the petroleum hydrocarbon concentration, the sodium persulfate amount and the water-soil ratio into independent variables for regression analysis, taking possible interaction of all the variables into consideration, adopting multiple quadratic regression for modeling, eliminating the non-significant terms with p being more than 0.05 to obtain an optimal model, calculating the soil petroleum hydrocarbon degradation rate according to the regression analysis result, and analyzing the linear fitting result of the calculated value and the measured value;
the model for predicting the degradation rate of the sodium persulfate for repairing the petroleum hydrocarbon polluted soil comprises the following steps:
y=71.30+4.14X4X6-0.11X3X7-91.10X6+12.62X6 2+0.87X5X9-0.11X1 2+2.64X1+0.079X7X8,R2=0.847,n=115
wherein: x1Is the total concentration of petroleum hydrocarbon in the soil; x3The content of organic matters in the soil; x4The pH value of the soil; x5Measuring Ln value, X, for sodium persulfate6Is the Ti content of soil, X7Is the Fe content of soil, X8Is the content of Mn in the soil, X9Is the percentage of the effective state concentration of the petroleum hydrocarbon to the concentration of the petroleum hydrocarbon.
The invention has the beneficial effects that: the method considers the influence of soil components and petroleum hydrocarbon occurrence forms on the degradation rate of sodium persulfate on the remediation of petroleum hydrocarbons, adopts a multivariate quadratic regression method to establish a correlation model among the soil components, the petroleum hydrocarbon occurrence forms, the remediation conditions and the degradation rate of the soil petroleum hydrocarbons, and adopts the total amount of the petroleum hydrocarbons, the content of soil organic matters, the effective state ratio of the petroleum hydrocarbons, the pH value of the soil, the content of soil titanium, iron and manganese elements and the amount of sodium persulfate to predict the degradation rate of the soil petroleum hydrocarbons after remediation. The method is a prediction technology with simple operation, good predictability and strong applicability, and has good guiding significance for the application of sodium persulfate in the remediation of the petroleum hydrocarbon pollution of the soil.
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FIG. 1 is a graph comparing experimental values and predicted values of a model.
Fig. 2 is a model verification diagram.
Detailed Description
The following further describes embodiments of the present invention with reference to the drawings and technical solutions.
EXAMPLE 1 composition and Properties of various soil Petroleum Hydrocarbon contaminated soils
The mineral composition of the soil is measured by an X-ray fluorescence analyzer, the pH of the soil is measured according to a standard NY/T1377-2007, and the organic matter content of the soil is measured by a potassium dichromate volumetric method. The total amount of the soil petroleum hydrocarbon is extracted by oscillation of carbon tetrachloride, after impurity removal of magnesium silicate and drying of anhydrous sodium sulfate, the petroleum hydrocarbon in the sample is measured by an infrared spectrometer. The effective state concentration of petroleum hydrocarbon is extracted by a cyclodextrin solution, extracted by carbon tetrachloride, purified by magnesium silicate and dried by anhydrous sodium sulfate, and then is measured by an infrared spectrophotometer. The experimental soil properties are shown in table 1.
TABLE 1 composition and Properties of the soil used in the experiments
Figure BDA0001740210420000041
Figure BDA0001740210420000051
Example 2 determination of the degradation rate of soil Petroleum hydrocarbons
Putting the polluted soil into a glass centrifuge tube, adding 5-30% of sodium persulfate with the water-soil ratio of 0.5-3, culturing in a shaking table at a constant temperature of 25 ℃ for 48h, drying the soil in the shade, measuring petroleum hydrocarbon residue in the sample by the method in the embodiment 1, measuring the water content P of the soil, and calculating the degradation rate Y of the petroleum hydrocarbon, wherein the calculation formula is as follows.
Figure BDA0001740210420000052
Figure BDA0001740210420000053
Wherein M is1In order to weigh the aluminum box mass of the soil, M2M is the total weight of the aluminum box and the soil3Is the total weight of the dried soil and the aluminum box C0Is the total amount of petroleum hydrocarbon in unrepaired soil, CtTo restore the petroleum hydrocarbon residue in the soil, P0Is the water content of unrepaired soil after drying in the shade, PtThe water content of the soil after the soil is repaired and dried in the shade.
The petroleum hydrocarbon degradation rates in soil measured by the experiments are shown in table 2.
TABLE 2 repair experiment parameters and degradation rates of petroleum hydrocarbons
Figure BDA0001740210420000054
Figure BDA0001740210420000061
Figure BDA0001740210420000071
Figure BDA0001740210420000081
Example 3 establishment of a model for predicting the degradation rate of soil petroleum hydrocarbons
And (3) constructing a multiple quadratic regression model by taking the soil composition and property, the petroleum hydrocarbon occurrence form and the remediation condition as independent variables and the soil petroleum hydrocarbon degradation rate as dependent variables, and removing insignificant items (p is more than 0.05) so as to research the influence of the soil composition and property and the remediation condition on the soil petroleum hydrocarbon degradation rate. The specific model representation symbols are shown in table 3.
Information about items in the equations of Table 3
Figure BDA0001740210420000082
The constructed prediction model equation is as follows, the soil petroleum hydrocarbon degradation rate is calculated according to the regression analysis result, the fitting result between the predicted value and the actual value is analyzed (figure 1), and the method for predicting the degradation rate of the sodium persulfate for repairing the soil petroleum pollution based on the soil composition property and the repairing condition is established.
The model for predicting the degradation rate of sodium persulfate for repairing soil petroleum hydrocarbon pollution comprises the following steps:
y=71.30+4.14X4X6-0.11X3X7-91.10X6+12.62X6 2+0.87X5X9-0.11X1 2+2.64X1+0.079X7X8,R2=0.847,n=115
wherein X1Is the soil petroleum hydrocarbon concentration; x3The content of organic matters in the soil; x4The pH value of the soil; x5Measuring Ln value, X, for sodium persulfate6Is the Ti content of soil, X7Is the Fe content of soil, X8Is the content of Mn in the soil, X9Is the percentage of the effective state concentration of the petroleum hydrocarbon to the concentration of the petroleum hydrocarbon.
Example 4 sodium persulfate remediation of soil Petroleum Hydrocarbon contamination degradation Rate prediction model validation
The experimental soil obtains the degradation rate of the soil petroleum hydrocarbon through the restoration experiment different from the restoration conditions in the table 2, meanwhile, the experimental parameters are substituted into the established model to obtain the predicted value, the experimental value of the degradation rate of the soil petroleum hydrocarbon and the predicted value are subjected to linear fitting (figure 2), and the fitting result is as follows: y is 1.032x-1.407, (R)20.872, and 23) proves that the model has good prediction effect on the degradation rate of the sodium persulfate for repairing the petroleum polluted soil.

Claims (1)

1. A prediction method for the degradation rate of sodium persulfate for repairing petroleum hydrocarbon contaminated soil is characterized by comprising the following steps:
(1) determination of soil composition, properties and occurrence of pollutants
Acquiring the content of a soil transition metal element, the content of soil organic matters, the pH value of soil, the total concentration of soil petroleum hydrocarbon and the effective state concentration; the content of transition metal elements in the soil is measured by an X-ray fluorescence analyzer, and the transition metal elements comprise one or more of titanium, iron and manganese; the content of organic matters in the soil is measured by a potassium dichromate volumetric method; the pH value of the soil is measured by adopting a water-soil ratio of 2.5: 1; extracting the total concentration of the soil petroleum hydrocarbon by carbon tetrachloride oscillation, and measuring by an infrared spectrophotometer; extracting the effective state concentration of the soil petroleum hydrocarbon by hydroxypropyl-beta-cyclodextrin, and measuring by an infrared spectrometer;
(2) determination of degradation rate of petroleum hydrocarbon under different remediation conditions
Carrying out petroleum hydrocarbon remediation on the soil by adopting a uniform design method, wherein the using amount of sodium persulfate is 5-30% of the mass of the soil, the water-soil ratio is 0.5-3, and the remediation is carried out under the constant-temperature shaking condition at 25 ℃; after 48 hours, the repaired soil is centrifugally dewatered and dried in the shade, the soil is extracted by carbon tetrachloride oscillation after being dried in the shade, the residual quantity of petroleum hydrocarbon is determined by an infrared light splitting oil tester, the residual quantity of the soil petroleum hydrocarbon is corrected through the water content of the soil, and the degradation rate of the petroleum hydrocarbon is calculated by the following calculation formula:
Figure FDA0002641695910000011
Figure FDA0002641695910000012
wherein M is1In order to weigh the aluminum box mass of the soil, M2M is the total weight of the aluminum box and the soil3Is the total weight of the dried soil and the aluminum box C0Is the total amount of petroleum hydrocarbon in unrepaired soil, CtTo restore the petroleum hydrocarbon residue in the soil, P0Is the water content of unrepaired soil after drying in the shade, PtThe water content of the soil after remediation after drying in the shade;
(3) establishment of soil petroleum hydrocarbon degradation rate prediction model
Taking the soil petroleum hydrocarbon degradation rate as a dependent variable, taking the soil transition metal element content, the soil organic matter content, the soil petroleum hydrocarbon total concentration, the soil petroleum hydrocarbon effective state concentration, the percentage of the petroleum hydrocarbon effective state concentration to the petroleum hydrocarbon concentration, the sodium persulfate amount and the water-soil ratio into independent variables for regression analysis, taking possible interaction of all the variables into consideration, adopting multiple quadratic regression for modeling, eliminating the non-significant terms with p being more than 0.05 to obtain an optimal model, calculating the soil petroleum hydrocarbon degradation rate according to the regression analysis result, and analyzing the linear fitting result of the calculated value and the measured value;
the model for predicting the degradation rate of the sodium persulfate for repairing the petroleum hydrocarbon polluted soil comprises the following steps:
y=71.30+4.14X4X6-0.11X3X7-91.10X6+12.62X6 2+0.87X5X9-0.11X1 2+2.64X1+0.079X7X8,R2=0.847,n=115;
wherein: x1Is the total concentration of petroleum hydrocarbon in the soil; x3The content of organic matters in the soil; x4The pH value of the soil; x5Measuring Ln value, X, for sodium persulfate6Is the Ti content of soil, X7Is the Fe content of soil, X8Is the content of Mn in the soil, X9Is the percentage of the effective state concentration of the petroleum hydrocarbon to the concentration of the petroleum hydrocarbon.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006026460A (en) * 2004-07-12 2006-02-02 Dowa Mining Co Ltd Method of detoxifying polluted substance
CN105149338A (en) * 2015-10-16 2015-12-16 新疆维吾尔自治区环境保护科学研究院 Restoring method of petroleum-contaminated soil
CN105152239A (en) * 2015-09-06 2015-12-16 同济大学 Device and method for repairing underground water through process of activating sodium persulfate by using Fe (II)
CN105344704A (en) * 2015-11-30 2016-02-24 重庆大学 New remediation method for soil contaminated by petroleum hydrocarbon
CN105855289A (en) * 2016-06-03 2016-08-17 南通国盛环境修复有限责任公司 In-situ combination remediation method of high-concentration petroleum hydrocarbon contaminated soil

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008506511A (en) * 2004-02-26 2008-03-06 エフ エム シー コーポレーション Oxidation of organic compounds at high pH

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006026460A (en) * 2004-07-12 2006-02-02 Dowa Mining Co Ltd Method of detoxifying polluted substance
CN105152239A (en) * 2015-09-06 2015-12-16 同济大学 Device and method for repairing underground water through process of activating sodium persulfate by using Fe (II)
CN105149338A (en) * 2015-10-16 2015-12-16 新疆维吾尔自治区环境保护科学研究院 Restoring method of petroleum-contaminated soil
CN105344704A (en) * 2015-11-30 2016-02-24 重庆大学 New remediation method for soil contaminated by petroleum hydrocarbon
CN105855289A (en) * 2016-06-03 2016-08-17 南通国盛环境修复有限责任公司 In-situ combination remediation method of high-concentration petroleum hydrocarbon contaminated soil

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
活化过硫酸钠去除长期污染土壤中的TPH;吴昊等;《环境工程学报》;20160930;第10卷(第9期);第5231-5237页 *

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