CN114814035A - Sewage tracing method based on full two-dimensional gas chromatography-mass spectrometry - Google Patents
Sewage tracing method based on full two-dimensional gas chromatography-mass spectrometry Download PDFInfo
- Publication number
- CN114814035A CN114814035A CN202210490784.5A CN202210490784A CN114814035A CN 114814035 A CN114814035 A CN 114814035A CN 202210490784 A CN202210490784 A CN 202210490784A CN 114814035 A CN114814035 A CN 114814035A
- Authority
- CN
- China
- Prior art keywords
- sewage
- enterprise
- water area
- polluted water
- gas chromatography
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
- G01N30/62—Detectors specially adapted therefor
- G01N30/72—Mass spectrometers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
- G01N2030/022—Column chromatography characterised by the kind of separation mechanism
- G01N2030/025—Gas chromatography
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
Abstract
The invention relates to a sewage tracing method based on a full two-dimensional gas chromatography-mass spectrum, which comprises the following steps: s1: determining all enterprises capable of discharging sewage to the polluted water area according to the polluted water area to be analyzed; s2: respectively detecting sewage discharged by each enterprise and sewage in a polluted water area through a full-two-dimensional gas chromatography-mass spectrometry detection instrument, and extracting characteristic factors contained in the sewage; s3: and respectively comparing and analyzing the characteristic factors contained in the sewage of the polluted water area and the characteristic factors contained in the sewage discharged by each enterprise to obtain the contribution ratio of the sewage discharged by each enterprise to the sewage of the polluted water area, and determining the source of the sewage in the polluted water area according to the contribution ratio. The method has the advantages of simple and convenient operation, accurate tracing, high analysis efficiency and wide application range.
Description
Technical Field
The invention relates to the field of sewage tracing, in particular to a sewage tracing method based on a full-two-dimensional gas chromatography-mass spectrum.
Background
In daily production activities, industrial enterprises are affected by equipment failure, misoperation, artificial damage and the like, so that industrial sewage enters a natural river or an underground pipeline without being treated, sudden water pollution events occur sometimes, huge economic and property losses can be caused, and huge manpower and financial resources are required to be consumed to repair the damage to the water ecological environment. In addition, water pollution affects water supply safety, poses serious threats to health and safety of people, and normal life order of residents in pollution-affected areas is also affected. With the stricter requirements of environmental regulation, the investigation of pollution sources and the tracing of the characteristic factors of pollutants are very important works. The method has the advantages that the position of the pollution source in the water body is accurately found, the pollution type and the pollution intensity are verified, the pollutant migration and conversion model is predicted, and the method has important significance for developing water pollution emergency treatment.
At present, long-term monitoring and evaluation of the water environment can enable a supervision department to master timely and accurate water quality information, and when the water environment quality changes, the monitoring information can provide early warning and provide basis for prevention and treatment. And tracking and tracing the pollution causing the deterioration of the water environment quality, and providing accurate counter measures before the polluted water body reaches a sensitive water area, thereby weakening or avoiding the aggravation of the pollution degree. The water pollution tracing mainly aims at determining a pollution source, and mostly adopts a manual investigation method, a water quality simulation method, ultraviolet and visible spectrum detection tracing, microorganism tracing and the like, and has the defects of time and labor waste and poor accuracy at different degrees. Therefore, there is a need for improvements to existing water pollution tracing methods.
Disclosure of Invention
In order to solve the problems, the invention provides a sewage tracing method based on a full two-dimensional gas chromatography-mass spectrum.
The specific scheme is as follows:
a sewage tracing method based on a full two-dimensional gas chromatography-mass spectrum comprises the following steps:
s1: determining all enterprises capable of discharging sewage to the polluted water area according to the polluted water area to be analyzed;
s2: respectively detecting sewage discharged by each enterprise and sewage in a polluted water area through a full-two-dimensional gas chromatography-mass spectrometry detection instrument, and extracting characteristic factors contained in the sewage;
s3: and respectively comparing and analyzing the characteristic factors contained in the sewage of the polluted water area and the characteristic factors contained in the sewage discharged by each enterprise to obtain the contribution ratio of the sewage discharged by each enterprise to the sewage of the polluted water area, and determining the source of the sewage in the polluted water area according to the contribution ratio.
Further, the method for determining all enterprises capable of discharging sewage to the polluted water area according to the polluted water area to be analyzed in step S1 is: and determining by combining the geographical position of each enterprise, the enterprise distribution, the enterprise type, the enterprise environmental assessment data, the condition of a water supply and drainage pipe network, the underground water monitoring well and the underground water quality state.
Further, step S2 includes: and constructing a pollutant characteristic factor library corresponding to each enterprise according to the extracted characteristic factors contained in the sewage discharged by each enterprise.
Further, the method of alignment analysis comprises: a similarity calculation method, a characteristic factor method, a non-negative least squares method and a source spectrum normalization method.
By adopting the technical scheme, the method has the advantages of simplicity and convenience in operation, accuracy in tracing, high analysis efficiency and wide application range.
Drawings
Fig. 1 is a flowchart illustrating a first embodiment of the present invention.
Fig. 2 is a schematic diagram of the enterprise to be traced in this embodiment.
FIG. 3 is a pie chart showing contribution ratios of enterprises in this embodiment.
Detailed Description
To further illustrate the various embodiments, the invention provides the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the embodiments. Those skilled in the art will appreciate still other possible embodiments and advantages of the present invention with reference to these figures.
The invention will now be further described with reference to the accompanying drawings and detailed description.
The first embodiment is as follows:
the embodiment of the invention provides a sewage tracing method based on a full two-dimensional gas chromatography-mass spectrum, which comprises the following steps of:
s1: all enterprises capable of discharging sewage to the polluted water area are determined according to the polluted water area to be analyzed.
The specific determination method in this embodiment is: and determining by combining the geographical position of each enterprise, the enterprise distribution, the enterprise type, the enterprise environmental assessment data, the condition of a water supply and drainage pipe network, the underground water monitoring well and the underground water quality state.
As shown in fig. 2, the polluted water area to be analyzed in this embodiment is a collected well water in an industrial area, and six enterprises, i.e., enterprises 1 to 6, are determined as possible sources of sewage in the collected well water by examining the enterprises in the industrial park.
S2: and respectively detecting the sewage discharged by each enterprise and the sewage in the polluted water area through a comprehensive two-dimensional gas chromatography-mass spectrometry detection instrument, and extracting characteristic factors contained in the sewage.
The full-two-dimensional gas chromatography-time of flight mass spectrometer (GC x GC-QTOF/MS) adopted in the embodiment is used for detecting data, the detection data is analyzed by Canvas full-two-dimensional chromatographic processing software of snow scene technology, chromatographic peaks with signal to noise of more than 50 are automatically identified, compound information with the matching degree not lower than 80 (100) is selected in one dimension, compound information with the positive and reverse matching degrees both higher than 800 (1000) is selected in the full-two dimension, and meanwhile, the retention index and the accurate mass number comparison are used as auxiliary qualitative means, so that the accuracy of qualitative results is further ensured. The retention index is used for determining the best matching compound according to the standard that the error between the calculated value and the literature value is within +/-5%, the best matching compound is automatically compared with a mass spectrum library, the analysis result is matched with a NIST17 standard spectrum library, auxiliary qualitative analysis is carried out according to the retention index and the accurate mass number of the high-resolution mass spectrum, and meanwhile, the relative content of each component is calculated by adopting a peak area normalization method.
In order to facilitate subsequent comparison, the embodiment further includes constructing a pollutant characteristic factor library corresponding to each enterprise according to the extracted characteristic factors included in the sewage discharged by each enterprise.
S3: and respectively comparing and analyzing the characteristic factors contained in the sewage of the polluted water area and the characteristic factors contained in the sewage discharged by each enterprise to obtain the contribution ratio of the sewage discharged by each enterprise to the sewage of the polluted water area, and determining the source of the sewage in the polluted water area according to the contribution ratio.
In this embodiment, the characteristic factors included in the sewage in the polluted water area are compared with the pollutant characteristic factor library corresponding to each enterprise.
The method for alignment analysis comprises the following steps: the method comprises four methods of a similarity calculation method, a characteristic factor method, a non-negative least square method and a source spectrum normalization method, wherein the source spectrum normalization method is preferably adopted in the embodiment.
In this embodiment, the comparison analysis results of the feature factors included in the collected well water and the feature factors included in the enterprises 1 to 6 by the four comparison methods are shown in table 1, the list of the contribution degrees of the substances of each enterprise is shown in table 2, and the corresponding comparison pie chart of the contribution degrees is shown in fig. 3, which shows that the contribution degree of the sewage discharged from the enterprise 3 to the sewage in the collected well water is the highest.
TABLE 1
TABLE 2
According to the embodiment of the invention, the contribution of the sewage discharged by different enterprises to the sewage in the polluted water area can be obtained only by extracting, comparing and analyzing the characteristic factors of the sewage discharged by the polluted water area and the enterprises through the full-two-dimensional gas chromatography-mass spectrometry detection instrument, and the method has the advantages of accurate source tracing, high analysis efficiency and wide application range.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (4)
1. A sewage tracing method based on a full two-dimensional gas chromatography-mass spectrum is characterized by comprising the following steps:
s1: determining all enterprises capable of discharging sewage to the polluted water area according to the polluted water area to be analyzed;
s2: respectively detecting sewage discharged by each enterprise and sewage in a polluted water area through a full-two-dimensional gas chromatography-mass spectrometry detection instrument, and extracting characteristic factors contained in the sewage;
s3: and respectively comparing and analyzing the characteristic factors contained in the sewage of the polluted water area and the characteristic factors contained in the sewage discharged by each enterprise to obtain the contribution ratio of the sewage discharged by each enterprise to the sewage of the polluted water area, and determining the source of the sewage in the polluted water area according to the contribution ratio.
2. The comprehensive two-dimensional gas chromatography-mass spectrometry-based sewage tracing method according to claim 1, wherein: the method of determining all enterprises capable of discharging sewage to the polluted water area according to the polluted water area to be analyzed in step S1 is: and determining by combining the geographical position of each enterprise, the enterprise distribution, the enterprise type, the enterprise environmental assessment data, the condition of a water supply and drainage pipe network, the underground water monitoring well and the underground water quality state.
3. The comprehensive two-dimensional gas chromatography-mass spectrometry-based sewage tracing method according to claim 1, wherein: step S2 further includes: and constructing a pollutant characteristic factor library corresponding to each enterprise according to the extracted characteristic factors contained in the sewage discharged by each enterprise.
4. The comprehensive two-dimensional gas chromatography-mass spectrometry-based sewage tracing method according to claim 1, wherein: the method for alignment analysis comprises the following steps: a similarity calculation method, a characteristic factor method, a non-negative least squares method and a source spectrum normalization method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210490784.5A CN114814035A (en) | 2022-05-07 | 2022-05-07 | Sewage tracing method based on full two-dimensional gas chromatography-mass spectrometry |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210490784.5A CN114814035A (en) | 2022-05-07 | 2022-05-07 | Sewage tracing method based on full two-dimensional gas chromatography-mass spectrometry |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114814035A true CN114814035A (en) | 2022-07-29 |
Family
ID=82510618
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210490784.5A Pending CN114814035A (en) | 2022-05-07 | 2022-05-07 | Sewage tracing method based on full two-dimensional gas chromatography-mass spectrometry |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114814035A (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102661939A (en) * | 2012-05-15 | 2012-09-12 | 北京化工大学 | Method for rapidly tracing to water pollution source |
| CN104237436A (en) * | 2014-09-03 | 2014-12-24 | 上海大学 | Qualitative screening method of semi-volatile halogenated organic pollutants in sediments |
| CN111861421A (en) * | 2020-08-01 | 2020-10-30 | 生态环境部南京环境科学研究所 | Method for quickly tracing sudden water pollution of drainage basin |
| CN112505282A (en) * | 2020-12-25 | 2021-03-16 | 生态环境部南京环境科学研究所 | Real-time accurate tracing early warning method and system for environmental water pollution |
| CN112540147A (en) * | 2019-09-20 | 2021-03-23 | 中国石油化工股份有限公司 | Method for tracing regional atmospheric pollutants of refining and chemical enterprises |
| CN113051844A (en) * | 2021-03-12 | 2021-06-29 | 中国科学院烟台海岸带研究所 | Method for identifying and accurately tracing environmental pollution events of ocean and open water areas |
| CN113313399A (en) * | 2021-06-08 | 2021-08-27 | 台州南水环保科技有限公司 | Underground water pollution tracing method based on characteristic pollutant source analysis |
| CN113449956A (en) * | 2021-04-23 | 2021-09-28 | 合肥学院 | Water pollution rapid tracing method and system |
| CN114113529A (en) * | 2021-12-02 | 2022-03-01 | 大连理工大学 | Intelligent tracing method for watershed water pollution |
-
2022
- 2022-05-07 CN CN202210490784.5A patent/CN114814035A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102661939A (en) * | 2012-05-15 | 2012-09-12 | 北京化工大学 | Method for rapidly tracing to water pollution source |
| CN104237436A (en) * | 2014-09-03 | 2014-12-24 | 上海大学 | Qualitative screening method of semi-volatile halogenated organic pollutants in sediments |
| CN112540147A (en) * | 2019-09-20 | 2021-03-23 | 中国石油化工股份有限公司 | Method for tracing regional atmospheric pollutants of refining and chemical enterprises |
| CN111861421A (en) * | 2020-08-01 | 2020-10-30 | 生态环境部南京环境科学研究所 | Method for quickly tracing sudden water pollution of drainage basin |
| CN112505282A (en) * | 2020-12-25 | 2021-03-16 | 生态环境部南京环境科学研究所 | Real-time accurate tracing early warning method and system for environmental water pollution |
| CN113051844A (en) * | 2021-03-12 | 2021-06-29 | 中国科学院烟台海岸带研究所 | Method for identifying and accurately tracing environmental pollution events of ocean and open water areas |
| CN113449956A (en) * | 2021-04-23 | 2021-09-28 | 合肥学院 | Water pollution rapid tracing method and system |
| CN113313399A (en) * | 2021-06-08 | 2021-08-27 | 台州南水环保科技有限公司 | Underground water pollution tracing method based on characteristic pollutant source analysis |
| CN114113529A (en) * | 2021-12-02 | 2022-03-01 | 大连理工大学 | Intelligent tracing method for watershed water pollution |
Non-Patent Citations (3)
| Title |
|---|
| 俞华明;陆华;叶露;: "应用固态热调制技术的全二维气相色谱-质谱联用法对工业废水中有机污染物的检测", 理化检验(化学分册), no. 07 * |
| 战楠;朱帅;郭峰;田芹;饶竹;: "顶空-固相微萃取-全二维气相色谱-飞行时间质谱测定水中短链氯化石蜡", 分析化学, no. 12 * |
| 高鹏;范军;邓晓丽;黄涛宏;: "全二维气相色谱四极杆质谱法定性筛查环境水中的有机污染物", 环境化学, no. 11 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2021174751A1 (en) | Method, apparatus and device for locating pollution source on basis of big data, and storage medium | |
| CN112418609B (en) | Surface-grid-point-based accurate tracing method for secondary atmospheric pollution | |
| CN108760912B (en) | Malodor pollution tracing method based on malodor fingerprint spectrum and application | |
| CN110489785B (en) | Online source analysis method and system for atmospheric pollutants | |
| CN103065198A (en) | Atmosphere fetor pollution fine source apportionment method | |
| CN112540148B (en) | Construction method of atmospheric pollutant monitoring, early warning and traceability system of refining enterprise | |
| CN112525977B (en) | Method and system for on-line monitoring and tracing leakage of non-organized VOCs (volatile organic Compounds) | |
| CN104850963A (en) | Drainage basin sudden water pollution accident warning and emergency disposal method and drainage basin sudden water pollution accident warning and emergency disposal system | |
| CN112505189A (en) | Automatic tracing method based on underground water characteristic pollutants | |
| Juahir et al. | Improving oil classification quality from oil spill fingerprint beyond six sigma approach | |
| Zhang et al. | Effects of industrial agglomeration and environmental regulation on urban ecological efficiency: evidence from 269 cities in China | |
| CN108760913A (en) | Atmospheric odor pollution traceability system and application | |
| CN112198144B (en) | Method and system for quickly tracing sewage | |
| CN117092297A (en) | Method, system, equipment and medium for tracing atmospheric pollutants in industrial park | |
| CN110070220A (en) | A kind of ammonia nitrogen index flexible measurement method based on neural network algorithm | |
| Liu et al. | Exploring the effect of urban spatial development pattern on carbon dioxide emissions in China: A socioeconomic density distribution approach based on remotely sensed nighttime light data | |
| CN115810403B (en) | Method for evaluating water pollution based on environmental characteristic information | |
| CN207516235U (en) | Heavy metal pollution risk on-line early warning system in a kind of water | |
| CN114814035A (en) | Sewage tracing method based on full two-dimensional gas chromatography-mass spectrometry | |
| CN117331913A (en) | Construction method of industrial park water pollution source fluorescence fingerprint database | |
| CN111612054A (en) | User electricity stealing behavior identification method based on non-negative matrix factorization and density clustering | |
| CN115855898A (en) | Water quality fingerprint tracing method and system based on big data | |
| KR102554245B1 (en) | Ground subsidence risk assessment system, method, and a recording medium recording a computer readable program for executing the method | |
| CN111161802A (en) | Method for analyzing lake water pollution source by utilizing microbial biomarkers | |
| CN117829614B (en) | Industrial enterprise pollution discharge risk classification calculation method based on multi-source data fusion |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |