CN110738589A - method for analyzing underground water chlorinated hydrocarbon pollution source - Google Patents
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 30
- 150000008280 chlorinated hydrocarbons Chemical class 0.000 title claims description 22
- 238000000034 method Methods 0.000 title claims description 10
- 238000004458 analytical method Methods 0.000 claims abstract description 36
- 238000011160 research Methods 0.000 claims description 23
- 238000004364 calculation method Methods 0.000 claims description 10
- 238000012847 principal component analysis method Methods 0.000 claims description 8
- 238000005070 sampling Methods 0.000 claims description 7
- 239000003344 environmental pollutant Substances 0.000 claims description 6
- 239000011159 matrix material Substances 0.000 claims description 6
- 239000000203 mixture Substances 0.000 claims description 6
- 231100000719 pollutant Toxicity 0.000 claims description 6
- 239000002131 composite material Substances 0.000 claims description 3
- 238000010586 diagram Methods 0.000 claims description 3
- 238000000556 factor analysis Methods 0.000 claims description 3
- 239000002351 wastewater Substances 0.000 claims description 3
- 230000003044 adaptive effect Effects 0.000 claims description 2
- 238000012360 testing method Methods 0.000 claims description 2
- 239000000126 substance Substances 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 4
- 238000013179 statistical model Methods 0.000 description 4
- VZGDMQKNWNREIO-UHFFFAOYSA-N tetrachloromethane Chemical compound ClC(Cl)(Cl)Cl VZGDMQKNWNREIO-UHFFFAOYSA-N 0.000 description 4
- YMWUJEATGCHHMB-UHFFFAOYSA-N Dichloromethane Chemical compound ClCCl YMWUJEATGCHHMB-UHFFFAOYSA-N 0.000 description 3
- 238000009792 diffusion process Methods 0.000 description 3
- 239000000575 pesticide Substances 0.000 description 3
- 238000004451 qualitative analysis Methods 0.000 description 3
- CFXQEHVMCRXUSD-UHFFFAOYSA-N 1,2,3-Trichloropropane Chemical compound ClCC(Cl)CCl CFXQEHVMCRXUSD-UHFFFAOYSA-N 0.000 description 2
- KNKRKFALVUDBJE-UHFFFAOYSA-N 1,2-dichloropropane Chemical compound CC(Cl)CCl KNKRKFALVUDBJE-UHFFFAOYSA-N 0.000 description 2
- MVPPADPHJFYWMZ-UHFFFAOYSA-N chlorobenzene Chemical compound ClC1=CC=CC=C1 MVPPADPHJFYWMZ-UHFFFAOYSA-N 0.000 description 2
- 238000011109 contamination Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- UOCLXMDMGBRAIB-UHFFFAOYSA-N 1,1,1-trichloroethane Chemical compound CC(Cl)(Cl)Cl UOCLXMDMGBRAIB-UHFFFAOYSA-N 0.000 description 1
- LGXVIGDEPROXKC-UHFFFAOYSA-N 1,1-dichloroethene Chemical group ClC(Cl)=C LGXVIGDEPROXKC-UHFFFAOYSA-N 0.000 description 1
- WSLDOOZREJYCGB-UHFFFAOYSA-N 1,2-Dichloroethane Chemical compound ClCCCl WSLDOOZREJYCGB-UHFFFAOYSA-N 0.000 description 1
- HEDRZPFGACZZDS-UHFFFAOYSA-N Chloroform Chemical compound ClC(Cl)Cl HEDRZPFGACZZDS-UHFFFAOYSA-N 0.000 description 1
- CYTYCFOTNPOANT-UHFFFAOYSA-N Perchloroethylene Chemical group ClC(Cl)=C(Cl)Cl CYTYCFOTNPOANT-UHFFFAOYSA-N 0.000 description 1
- 229960001701 chloroform Drugs 0.000 description 1
- KFUSEUYYWQURPO-UPHRSURJSA-N cis-1,2-dichloroethene Chemical group Cl\C=C/Cl KFUSEUYYWQURPO-UPHRSURJSA-N 0.000 description 1
- 238000010835 comparative analysis Methods 0.000 description 1
- 239000003673 groundwater Substances 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000012417 linear regression Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 229950011008 tetrachloroethylene Drugs 0.000 description 1
- KFUSEUYYWQURPO-OWOJBTEDSA-N trans-1,2-dichloroethene Chemical group Cl\C=C\Cl KFUSEUYYWQURPO-OWOJBTEDSA-N 0.000 description 1
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Abstract
The invention discloses an underground water chlorohydrocarbon pollution source analysis method, and provides underground water chlorohydrocarbon pollution source analysis methods with strong operability and high accuracy.
Description
Technical Field
The invention relates to an analysis method of underground water chlorinated hydrocarbon pollution sources, belonging to the field of underground water science and engineering.
Background
Since the 20 th century, source analysis of pollutants has mainly used models for qualitative analysis and quantitative calculation, and quantitative calculation models include a diffusion model for the target of pollutants and a receptor model for the target of polluted areas. With the continuous emphasis of human on water environment, the diffusion model can not meet the requirements in many aspects, and the receptor model gradually replaces the diffusion model due to the fact that the receptor model is simpler and more convenient and the analytic result is more accurate.
The receptor model for quantitative calculation mainly comprises a CMB model and a multivariate statistical model, the CMB model needs an accurate research area emission source component spectrum, the technical difficulty is high, the source analysis result is influenced by more factors, the result obtained by using the multivariate statistical model of the single for source analysis is often limited, and the analysis result is inaccurate.
Disclosure of Invention
The invention overcomes the defects of the prior art, provides an analysis method for underground water chlorohydrocarbon pollution sources, provides underground water chlorohydrocarbon pollution source analysis methods with strong operability and high accuracy, combines a GIS technology with a multivariate statistical model, and generates each pollution source distribution map by utilizing the GIS technology, so that the pollution source distribution is visualized, and the distribution pattern of the pollution sources is better determined.
method for analyzing underground water chlorinated hydrocarbon pollution source, comprising the following steps:
(1) investigating a chlorinated hydrocarbon pollution source, and classifying pollution areas;
(2) setting sampling points in the classified areas in the step (1), collecting water samples on site and analyzing chlorohydrocarbon data;
(3) drawing a chlorinated hydrocarbon pollution concentration distribution diagram in a research area by using Arcgis according to the data obtained in the step (2), analyzing distribution characteristics, and analyzing the relationship between the occurrence of pollutants and various polluted enterprises by combining the distribution conditions of different types of polluted enterprises in the research area to obtain pollution source classification;
(4) performing source analysis on the chlorohydrocarbon data obtained in the step (2) by using a principal component analysis method according to the pollution source classification in the step (3) to obtain analysis conditions A of different chlorohydrocarbon pollution sources;
(5) utilizing a UNMIX model to carry out source analysis on the chlorohydrocarbon data obtained in the step (2) according to the pollution source classification in the step (3) to obtain analysis conditions B of different chlorohydrocarbon pollution sources;
(6) and (5) comparing the analysis condition A obtained in the step (4) with the analysis condition B obtained in the step (5) to obtain the accurate source type and influence factors of the pollutants.
, the sampling points in the step (2) are arranged in different hydrogeological areas, which refer to underground water or waste water discharge openings downstream of different enterprises.
, the principal component analysis method in the step (4) includes the steps of:
s1, standardizing data;
s2, calculating a correlation coefficient matrix R for adaptive test;
s3 calculating a load matrix;
s4, selecting a main factor by using a principal component analysis method, performing factor rotation on the load matrix by using a variance maximum rotation method to obtain a variance interpretation rate and a characteristic value of the factor, and determining the type of a pollution source;
s5, calculating factor scores to determine the pollution condition in the research area, wherein the comprehensive factor score calculation formula is as follows:
Fj＝uj1Xj1+uj2Xj2+...+ujpXjp
in the formula: fjScoring the composite factor at each sample point; u. ofjpIs the variance contribution of the factor; xjpScoring for the factor; j 1,2, m, m is the number of samples collected in the contaminated area; n, n is the number of common factors extracted by the factor analysis;
s6, calculating the contribution rate of each pollution source to the whole pollution, wherein the calculation formula is as follows:
tk(％)＝100×(Bk/∑Bk)
in the formula: t is tk(%) is the percentage contribution of pollution source k; b iskIs the regression coefficient of the pollution source k in the regression equation.
, the UNMIX model in step (5) is calculated as:
wherein, CijRepresents the concentration of the jth species (j 1,2.., N) in the ith sample (i 1,2.. N); fjkRepresents the mass fraction of the jth species in the source k (k 1,2.., m), i.e., the composition of the source; sikRepresenting the total amount of the source k in the ith sample, namely representing the contribution rate of the source; e represents the standard deviation of the respective source compositions.
Has the advantages that:
(1) the GIS technology is combined with the multivariate statistical model, and the pollution source distribution map is generated by utilizing the GIS technology, so that the distribution of the pollution sources is visualized, and the distribution pattern of the pollution sources is better determined.
(2) The same data are analyzed by two multivariate statistical methods, the same parts of the analysis results of different models are enhanced through comparative analysis of the analysis results, and the differences of the conclusions are distinguished, so that the defect that the analysis capability of the models does not meet the judgment standard of is overcome, the pollution caused by analysis is more comprehensive, and the accuracy and the reliability of the source analysis result are improved.
Drawings
FIG. 1 is a graph showing a chlorinated hydrocarbon contamination concentration of groundwater.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the present invention is further illustrated in with reference to the following examples, which are only some examples, but not all examples, of the present application, and the present invention is not limited by the following examples.
A method for analyzing the pollution source of chlorinated hydrocarbons in underground water comprises the following steps,
(1) investigating the pollution source and the pollution history of the pollution source contributing to the receptor chlorohydrocarbon in the research area, and preliminarily classifying the enterprises in the research area according to the production data and the operation range of the enterprises.
(2) The data were sampled and analyzed on site, and the distribution characteristics of the pollution concentration distribution map of the chlorinated hydrocarbons in the study area shown in fig. 1 were drawn by Arcgis. The sampling points are distributed in different hydrogeological regions; carrying out underground water sampling on areas where different enterprises are located; and arranging sampling points at the downstream of the enterprise wastewater discharge port.
Statistics is carried out on 13 kinds of chlorinated hydrocarbons (trichloromethane, carbon tetrachloride, 1,2, 3-trichloropropane, 1, 2-dichloroethane, 1, 1-dichloroethylene, cis-1, 2-dichloroethylene, trans-1, 2-dichloroethylene, dichloromethane, 1, 2-dichloropropane, 1,1, 1-trichloroethane, chlorobenzene, tetrachloroethylene and 1, 2-dichloropropane) in water samples of 40 karst water monitoring points in a research area, and the statistical result shows that the detection rate of the carbon tetrachloride pollution concentration is the highest and reaches 25.5 mu g/L.
According to the detection data, utilizing Arcgis to draw a pollution concentration distribution diagram of the chlorinated hydrocarbons in the research area and analyze the distribution characteristics;
(3) and (3) carrying out qualitative analysis on the pollution source of the chlorinated hydrocarbon in the underground water by utilizing a principal component analysis method and a variance maximum rotation method, and determining the type of the pollution source in the research area and the contribution rate of the pollution source to the chlorinated hydrocarbon in the underground water in the research area.
Calculating factor scores to determine the pollution conditions in the research area, wherein the comprehensive factor score calculation formula is as follows:
Fj＝uj1Xj1+uj2Xj2+...+ujpXjp
in the formula: fjScoring the composite factor at each sample point; u. ofjpIs the variance contribution of the factor; xjpScoring for the factor; j 1,2, m, m is the number of samples collected in the contaminated area; n, n is the number of common factors extracted by the factor analysis;
TABLE 1 principal Components analytical method results
Calculating the contribution rate of each pollution source to the whole pollution by the following calculation formula:
tk(％)＝100×(Bk/∑Bk)
in the formula: t is tk(%) is the percentage contribution of pollution source k; b iskIs the regression coefficient of the pollution source k in the regression equation.
(4) Analyzing the same groups of underground water chlorohydrocarbon data by using a UNMIX model, and determining the type of a pollution source in the research area and the contribution rate of the pollution source to the underground water chlorohydrocarbon in the research area.
The calculation formula of the UNMIX model is as follows:
wherein, CijRepresents the concentration of the jth species (j 1,2.., N) in the ith sample (i 1,2.. N); fjkRepresents the mass fraction of the jth species in the source k (k 1,2.., m), i.e., the composition of the source; sikRepresenting the total amount of the source k in the ith sample, namely representing the contribution rate of the source; e represents the standard deviation of the respective source compositions.
Second, results and analysis
(1) The distribution characteristics of the contamination concentration of chlorinated hydrocarbons in the investigation region as shown in FIG. 1 were plotted using Arcgis.
(2) Performing qualitative analysis on pollution sources of chlorohydrocarbons in the underground water by using a principal component analysis method and a variance maximum rotation method, and determining that the pollution sources in a research area are mainly classified into 4 types, namely chemical pollution sources, electromechanical pollution sources, chemical fiber pollution sources and pesticide pollution sources; the comprehensive factor score result of the pollution sources shows that underground water in the middle and the middle east of the research area is seriously polluted by chlorinated hydrocarbons, underground water in the south of the research area is slightly polluted by chlorinated hydrocarbons, and the contribution rate of four types of pollution sources to the chlorinated hydrocarbons in the research area is calculated by a multiple linear regression method to reach 94.9 percent, wherein the pesticide type reaches 7.8 percent, the chemical fiber type reaches 13.3 percent, the electromechanical type reaches 25.5 percent, and the chemical type reaches 48.3 percent.
(3) Analyzing the same groups of underground water chlorohydrocarbon data by using a UNMIX model, and determining that the type of a pollution source in a research area and the contribution rate of the pollution source to the underground water chlorohydrocarbon in the research area are chemical (47.6%), electromechanical (26.3%), chemical (14.7%) and pesticide (15.74%).
(4) In the process of using the model for source analysis, a plurality of factors can cause that the analysis result is not accurate enough, even errors occur, but the accuracy of the result cannot be accurately judged by models, the analysis results of the two models are utilized for comparison, although the contribution rates of the two models to the chlorinated hydrocarbon pollution source in the underground water are slightly different, the models show that the chlorinated hydrocarbon in the underground water of the research area mainly has 4 sources, and the two models have good consistency, which shows that the source analysis results of the two models are correct, and the accuracy of the source analysis result is enhanced.
Claims (4)
1, underground water chlorinated hydrocarbon pollution source analysis method, characterized by comprising the following steps:
(1) investigating a chlorinated hydrocarbon pollution source, and classifying pollution areas;
(2) setting sampling points in the classified areas in the step (1), collecting water samples on site and analyzing chlorohydrocarbon data;
(3) drawing a chlorinated hydrocarbon pollution concentration distribution diagram in a research area by using Arcgis according to the data obtained in the step (2), analyzing distribution characteristics, and analyzing the relationship between the occurrence of pollutants and various polluted enterprises by combining the distribution conditions of different types of polluted enterprises in the research area to obtain pollution source classification;
(4) performing source analysis on the chlorohydrocarbon data obtained in the step (2) by using a principal component analysis method according to the pollution source classification in the step (3) to obtain analysis conditions A of different chlorohydrocarbon pollution sources;
(5) utilizing a UNMIX model to carry out source analysis on the chlorohydrocarbon data obtained in the step (2) according to the pollution source classification in the step (3) to obtain analysis conditions B of different chlorohydrocarbon pollution sources;
(6) and (5) comparing the analysis condition A obtained in the step (4) with the analysis condition B obtained in the step (5) to obtain the accurate source type and influence factors of the pollutants.
2. The analytic method of claim 1, wherein the sampling points in step (2) are arranged in different hydrogeological regions, which refer to underground water or waste water discharge ports downstream of regions where different enterprises are located.
3. The analytical method according to claim 1, wherein the principal component analysis method of step (4) comprises the steps of:
s1, standardizing data;
s2, calculating a correlation coefficient matrix R for adaptive test;
s3 calculating a load matrix;
s4, selecting a main factor by using a principal component analysis method, performing factor rotation on the load matrix by using a variance maximum rotation method to obtain a variance interpretation rate and a characteristic value of the factor, and determining the type of a pollution source;
s5, calculating factor scores to determine the pollution condition in the research area, wherein the comprehensive factor score calculation formula is as follows:
Fj＝uj1Xj1+uj2Xj2+...+ujpXjp
in the formula: fjScoring the composite factor at each sample point; u. ofjpIs the variance contribution of the factor; xjpScoring for the factor; j 1,2, m, m is the number of samples collected in the contaminated area; n, n is the number of common factors extracted by the factor analysis;
s6, calculating the contribution rate of each pollution source to the whole pollution, wherein the calculation formula is as follows:
tk(％)＝100×(Bk/∑Bk)
in the formula: t is tk(%) is the percentage contribution of pollution source k; b iskIs the regression coefficient of the pollution source k in the regression equation.
4. The parsing method of claim 1, wherein the UNMIX model in the step (5) is calculated by the formula:
wherein, CijRepresents the concentration of the jth species (j 1,2.., N) in the ith sample (i 1,2.. N); fjkRepresents the mass fraction of the jth species in the source k (k 1,2.., m), i.e., the composition of the source; sikRepresenting the total amount of the source k in the ith sample, namely representing the contribution rate of the source; e represents the standard deviation of the respective source compositions.
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| CN112903660A (en) * | 2021-03-11 | 2021-06-04 | 广西大学 | Method for judging current situation and source of pollution of watershed water body |
| CN117290410A (en) * | 2023-11-21 | 2023-12-26 | 江苏旭龙环境科技有限公司 | Environment monitoring method and system based on chlorinated hydrocarbon distribution prediction |
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