Method for predicting degradation rate of sodium persulfate in remediation of petroleum hydrocarbon contaminated soil

A sodium persulfate and petroleum hydrocarbon technology, applied in the field of soil pollution remediation, can solve the problems of unpredictable remediation effect, long operation cycle, complex composition, etc., and achieve good guiding significance, strong applicability, and simple operation

Active Publication Date: 2019-02-01
DALIAN UNIV OF TECH
View PDF7 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, there are various soil types and complex compositions, and there are differences in the occurrence forms of petroleum hydrocarbons in different types of contaminated soils, which makes it difficult to predict the remediation effect in practical applications.
To evaluate the remediation effect by carrying out soil remediation experiments, the operation period is long and the cost is high, so it is particularly important to establish a method for predicting the degradation rate of sodium persulfate to degrade soil petroleum hydrocarbons

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for predicting degradation rate of sodium persulfate in remediation of petroleum hydrocarbon contaminated soil
  • Method for predicting degradation rate of sodium persulfate in remediation of petroleum hydrocarbon contaminated soil
  • Method for predicting degradation rate of sodium persulfate in remediation of petroleum hydrocarbon contaminated soil

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0021] Composition and properties of multiple soil petroleum hydrocarbon polluted soils of embodiment 1

[0022] The mineral composition of the soil was measured by an X-ray fluorescence analyzer, the soil pH was measured according to the standard NY / T1377-2007, and the soil organic matter content was measured by the potassium dichromate volumetric method. The total amount of petroleum hydrocarbons in the soil was extracted by shaking carbon tetrachloride, impurities were removed by magnesium silicate, and dried by anhydrous sodium sulfate, and the petroleum hydrocarbons in the samples were measured by infrared spectroscopic oil detector. The effective state concentration of petroleum hydrocarbons is extracted by cyclodextrin solution, extracted by carbon tetrachloride, impurity removed by magnesium silicate, dried by anhydrous sodium sulfate, and then measured by infrared spectrophotometer. The properties of the experimental soil are shown in Table 1.

[0023] Table 1 The co...

Embodiment 2

[0026] The mensuration of embodiment 2 soil petroleum hydrocarbon degradation rate

[0027] Put the polluted soil in a glass centrifuge tube, add 5%-30% sodium persulfate, the water-to-soil ratio is 0.5-3, cultivate it in a constant temperature shaking shaker at 25°C for 48h, after the soil is dried in the shade, use the method described in Example 1 Determine the residue of petroleum hydrocarbon in the sample, measure the soil moisture content P at the same time, and calculate the degradation rate Y of petroleum hydrocarbon. The calculation formula is as follows.

[0028]

[0029]

[0030] Among them, M 1 is the mass of the aluminum box for weighing the soil, M 2 is the total weight of aluminum box and soil, M 3 is the total weight of soil and aluminum box after drying, C 0 is the total amount of petroleum hydrocarbons in the unremediated soil, C t is the petroleum hydrocarbon residue in the soil after remediation, P 0 is the moisture content of unremediated soil a...

Embodiment 3

[0037] Embodiment 3 The establishment of soil petroleum hydrocarbon degradation rate prediction model

[0038] A multiple quadratic regression model was constructed with soil composition and properties, petroleum hydrocarbon occurrence forms, and remediation conditions as independent variables, and soil petroleum hydrocarbon degradation rate as a dependent variable, and non-significant items (p>0.05) were removed to study soil composition and properties and the effect of remediation conditions on soil petroleum hydrocarbon degradation rate. The representative symbols of the specific construction model are shown in Table 3.

[0039] The relevant information in the equation in Table 3

[0040]

[0041] The prediction model equation constructed is as follows, the soil petroleum hydrocarbon degradation rate is calculated according to the regression analysis results, and the fitting result between the predicted value and the actual value is analyzed ( figure 1 ), to establish ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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. According to the method for predicting the degradation rate of sodium persulfate in remediation of the petroleum hydrocarbon contaminated soil, the problem that the remediation effect of sodium persulfate on petroleum hydrocarbon pollution in different soils is greatly different exists, and the remediation effect is influenced by factors such as the content of soil mineral elements, the content of soil organic matter, the total amount and effective state of petroleum hydrocarbon and remediation conditions, so that a series of soil remediation experiments are carried out, and a correlationmodel between the degradation rate of soil petroleum hydrocarbon and various factors is established by adopting a multiple quadratic regression method. The model is verified, the model is proved to have good prediction ability, the degradation rate of sodium persulfate in remediation of petroleum hydrocarbon pollution in different soils can be effectively predicted, and guiding significance is provided for the application of sodium persulfate in remediation of soil petroleum pollution.

Description

technical field [0001] The invention belongs to the technical field of soil pollution remediation, and in particular relates to a method for predicting the degradation rate of sodium persulfate remediation of petroleum hydrocarbon-contaminated soil. Background technique [0002] In the process of oil extraction and petrochemical industry, due to crude oil leakage, falling crude oil, wastewater irrigation and improper disposal of oily sludge, soil oil pollution will become increasingly serious, resulting in the destruction of the microbial community structure in the soil, and the decline in the quality and output of agricultural products, which is harmful to human health. pose a serious threat. Soil oil pollution is one of the environmental problems that need to be solved urgently. [0003] Petroleum pollutants have a complex composition, uneven concentration distribution, and contain a large number of refractory and easily adsorbed substances (such as long-chain alkanes, po...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01N23/223G01N21/3554
CPCG01N21/3554G01N23/223
Inventor 蔡喜运黄毅赵小学席普宇乔显亮陈景文郑永权
Owner DALIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products