CN113449956A - Water pollution rapid tracing method and system - Google Patents
Water pollution rapid tracing method and system Download PDFInfo
- Publication number
- CN113449956A CN113449956A CN202110443593.9A CN202110443593A CN113449956A CN 113449956 A CN113449956 A CN 113449956A CN 202110443593 A CN202110443593 A CN 202110443593A CN 113449956 A CN113449956 A CN 113449956A
- Authority
- CN
- China
- Prior art keywords
- pollutant
- water
- pollution
- information
- enterprises
- 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.)
- Withdrawn
Links
- 238000003911 water pollution Methods 0.000 title claims abstract description 48
- 238000000034 method Methods 0.000 title claims abstract description 37
- 239000003344 environmental pollutant Substances 0.000 claims abstract description 159
- 231100000719 pollutant Toxicity 0.000 claims abstract description 159
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 78
- 239000010865 sewage Substances 0.000 claims abstract description 53
- 238000013508 migration Methods 0.000 claims abstract description 42
- 230000005012 migration Effects 0.000 claims abstract description 42
- 238000004088 simulation Methods 0.000 claims abstract description 35
- 239000003403 water pollutant Substances 0.000 claims abstract description 20
- 238000012216 screening Methods 0.000 claims abstract description 19
- 238000012544 monitoring process Methods 0.000 claims abstract description 17
- 238000005070 sampling Methods 0.000 claims abstract description 12
- 238000004458 analytical method Methods 0.000 claims abstract description 10
- 238000001514 detection method Methods 0.000 claims description 16
- 238000007599 discharging Methods 0.000 claims description 10
- 238000011144 upstream manufacturing Methods 0.000 claims description 10
- 238000009792 diffusion process Methods 0.000 claims description 7
- 238000004422 calculation algorithm Methods 0.000 claims description 6
- 230000007717 exclusion Effects 0.000 claims description 6
- 238000004519 manufacturing process Methods 0.000 claims description 6
- 239000000126 substance Substances 0.000 claims description 6
- 101000878595 Arabidopsis thaliana Squalene synthase 1 Proteins 0.000 claims description 3
- 101000713575 Homo sapiens Tubulin beta-3 chain Proteins 0.000 claims description 3
- 102100036790 Tubulin beta-3 chain Human genes 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000015556 catabolic process Effects 0.000 claims description 3
- 238000006731 degradation reaction Methods 0.000 claims description 3
- 238000002848 electrochemical method Methods 0.000 claims description 3
- 238000004817 gas chromatography Methods 0.000 claims description 3
- 238000004255 ion exchange chromatography Methods 0.000 claims description 3
- 239000000463 material Substances 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 230000007547 defect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
- Y02A20/152—Water filtration
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a rapid water pollution tracing method, which belongs to the technical field of water pollution monitoring and comprises the following specific steps: (1) constructing a water pollution record database; (2) deploying a monitoring section and a sampling point to sample the water body; (3) detecting water body pollutants; (4) simulating the migration of pollutants; (5) primary screening of enterprises in suspicious sewage discharge areas; (6) tracing the enterprise by stealing pollutants; the invention constructs a water pollution record database, and carries out simulation migration simulation on water pollutants by establishing a two-dimensional pollutant migration model, thereby being beneficial to quickly investigating suspicious sewage areas; meanwhile, quantity retrieval is carried out on related enterprises in the suspicious sewage discharge area according to the pollutant type information, so that the source tracing range of water pollutants is favorably reduced; and correlation degree analysis is carried out on related pollution discharge enterprises in the pollution discharge area according to the pollutant component information, so that specific pollution theft and emission enterprises can be rapidly and accurately checked.
Description
Technical Field
The invention relates to the technical field of water pollution monitoring, in particular to a water pollution rapid tracing method and system.
Background
Through retrieval, the Chinese patent number CN112417721A discloses a water pollution tracing method and a system based on a two-dimensional finite element method diffusion model, and although the invention can trace to a sewage outlet, the invention cannot rapidly and accurately find out specific pollution stealing and exhausting enterprises; the illegal stealing and discharging of the over-standard sewage is serious in China, has serious pollution and damage to a water system and an ecological environment, strengthens effective supervision, tracing and tracing of the pollutant on the over-standard sewage stealing and discharging phenomenon, and is a very difficult task; the pollution source is checked and traced, and only if the pollution tracing is realized quickly, the pollution source can be cut off in time, so that the pollution condition is prevented from further worsening; therefore, the responsibility of the pollution discharge enterprise can be determined, the pollution discharge enterprise can be better supervised, and the water body pollution caused by the illegal discharge of the pollution discharge enterprise again can be prevented; therefore, it becomes more important to invent a method and a system for fast tracing to the source of water pollution;
most of the existing water pollution fast tracing methods collect polluted downstream water samples and upstream water samples of sewage outlets of sewage enterprises after accidents occur, detect and analyze the water samples, analyze and compare detection results so as to realize the investigation and tracing of pollution sources and find out illegal sewage discharge responsibilities; however, if there are many upstream enterprises involved with pollution and the suspicion is broad, the workload of tracing the pollution is large, and the time consumption is long, so that tracing personnel cannot quickly and accurately find specific enterprises stolen with pollution, and further pollution accidents are easily aggravated; therefore, a water pollution rapid tracing method and a water pollution rapid tracing system are provided.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a method and a system for quickly tracing water pollution.
In order to achieve the purpose, the invention adopts the following technical scheme:
a water pollution rapid tracing method comprises the following steps:
(1) constructing a water pollution record database: acquiring hydrological information of a monitored water area, acquiring basic enterprise information of an upstream enterprise of the monitored water area, acquiring water pollutant category information and generating a water pollution record database;
(2) deploying a monitoring section and a sampling point to sample the water body: deploying a monitoring section and a sampling point in the monitored water area, and collecting the water quality of the monitored water area in real time to obtain a water quality sample;
(3) detecting water body pollutants: detecting a water quality sample by using a detection method to obtain pollutant type information and pollutant component information;
(4) and (3) pollutant migration simulation: acquiring position information of a monitoring section and a sampling point, and performing simulation inversion migration simulation on the pollutants by using a pollutant migration model to obtain a suspicious pollutant discharge area of the pollutants;
(5) primary screening of enterprises in suspicious sewage discharge areas: searching related sewage discharge enterprises in the area through a pollution record database according to the suspicious sewage discharge area and the pollutant type information of the pollutants to obtain the number of the related sewage discharge enterprises in the sewage discharge area;
(6) tracing the enterprise by stealing pollutants: and after the number of related pollution discharge enterprises in the pollution discharge area is determined, carrying out association degree analysis on the pollutant component information and the basic enterprise information, and tracing to determine specific stealing and discharging enterprises.
Further, the hydrological information comprises monitoring section position information, water area longitudinal and transverse water flow average speed and water area depth; the enterprise basic information comprises enterprise positions, production materials and production fields; the water pollutant class information comprises chemical pollutants, physical pollutants and biological pollutants; the detection method is one or more of ion chromatography, gas chromatography, chemical method or electrochemical method.
Further, the pollutant migration model is specifically a two-dimensional pollutant migration model, and a specific pollutant migration simulation process is expressed by a formula as follows:
the analytical solution is obtained by adopting a Fourier transform method, and the expression is as follows:
in the formula: c is the pollutant concentration of the predicted point at the time point (x, y) t; x and y are coordinate positions of the origin of coordinates of the pollutant leakage point; t(s) is the time length from the pollutant discharge moment to the current moment; k is the pollutant degradation coefficient; u. ofxAnd uyThe average speed of longitudinal and transverse water flow of the water area respectively; dxAnd DyLongitudinal diffusion coefficients and transverse diffusion coefficients of pollutants in a water body are respectively; m is the total pollutant emission amount; h is the depth of the water area.
Further, the specific process of enterprise preliminary screening in the suspicious sewage discharge area is as follows:
s1: determining a suspicious pollutant discharge area of pollutants according to the pollutant migration model simulation;
s2: extracting pollutant type information obtained through detection;
s3: matching the pollutant type information with the water pollutant category information in the water pollution record database to obtain the type of the pollutant;
s4: and traversing the basic enterprise information in the water pollution record database, and screening out related enterprises producing or using pollutants of the type in the suspicious sewage discharge area to obtain the number of the related enterprises discharging the sewage in the sewage discharge area.
Further, the traceability process of the pollutant stealing and arranging enterprise specifically comprises the following steps:
SS 1: acquiring the number of related pollution discharge enterprises in the pollution discharge area;
SS 2: extracting detected pollutant component information;
SS 3: performing correlation calculation analysis on the pollutant component information and products of pollution discharge related enterprises in the pollution discharge area by using a correlation algorithm;
SS 4: screening out the enterprises with the maximum correlation coefficient to obtain specific steal enterprises;
the association algorithm is specifically Apriori.
A water pollution fast traceability system comprises a water pollution filing database module, a pollutant acquisition module, a pollutant detection module, a migration simulation module, a related enterprise prescreening module and an enterprise traceability module for stealing and draining;
the water pollution filing database module is used for storing hydrological information, water pollutant information and water area upstream enterprise information; the pollutant acquisition module is used for acquiring the water quality of the monitored water area in real time to obtain a water quality sample; the pollutant detection module is used for detecting a water quality sample to obtain pollutant type information and pollutant component information; the migration simulation module is used for carrying out simulation inversion migration simulation according to the pollutant migration model to obtain a suspicious pollutant discharge area of the pollutant; the related enterprise preliminary screening module is used for screening the suspicious pollution discharge area of the pollutant and the type information of the pollutant; searching related sewage discharge enterprises in the area through a pollution record database to obtain the number of the related sewage discharge enterprises in the sewage discharge area; the theft and exclusion enterprise traceability module is used for analyzing the correlation degree of the pollutant component information and the enterprise basic information, and tracing and determining a specific theft and exclusion enterprise.
Compared with the prior art, the invention has the beneficial effects that:
1. the water pollution fast tracing method carries out simulation migration simulation on water pollutants by establishing a two-dimensional pollutant migration model, so that a suspicious sewage discharge area can be rapidly investigated, and the water pollution record database is provided, comprises hydrological information of a monitored water area, basic information of enterprises at the upstream of the monitored water area and water pollutant category information;
2. according to the water pollution fast tracing method, after the number of the suspected sewage discharge area and the number of the related enterprises for sewage discharge in the sewage discharge area are determined, the enterprises in the water pollution record database are subjected to correlation coefficient analysis by utilizing pollutant component information, and extraction is carried out according to the maximum correlation coefficient, so that the specific pollution stealing enterprises can be rapidly and accurately searched, and further aggravation of pollution accidents is effectively avoided.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is an overall flowchart of a rapid tracing method for water pollution according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Referring to fig. 1, a method for quickly tracing water pollution includes the following steps:
(1) constructing a water pollution record database: acquiring hydrological information of a monitored water area, acquiring basic enterprise information of an upstream enterprise of the monitored water area, acquiring water pollutant category information and generating a water pollution record database;
(2) deploying a monitoring section and a sampling point to sample the water body: deploying a monitoring section and a sampling point in the monitored water area, and collecting the water quality of the monitored water area in real time to obtain a water quality sample;
(3) detecting water body pollutants: detecting a water quality sample by using a detection method to obtain pollutant type information and pollutant component information;
(4) and (3) pollutant migration simulation: acquiring position information of a monitoring section and a sampling point, and performing simulation inversion migration simulation on the pollutants by using a pollutant migration model to obtain a suspicious pollutant discharge area of the pollutants;
(5) primary screening of enterprises in suspicious sewage discharge areas: searching related sewage discharge enterprises in the area through a pollution record database according to the suspicious sewage discharge area and the pollutant type information of the pollutants to obtain the number of the related sewage discharge enterprises in the sewage discharge area;
(6) tracing the enterprise by stealing pollutants: and after the number of related pollution discharge enterprises in the pollution discharge area is determined, carrying out association degree analysis on the pollutant component information and the basic enterprise information, and tracing to determine specific stealing and discharging enterprises.
The hydrological information comprises monitoring section position information, water area longitudinal and transverse water flow average speed and water area depth; the enterprise basic information comprises enterprise positions, production materials and production fields; the water pollutant class information comprises chemical pollutants, physical pollutants and biological pollutants; the detection method is one or more of ion chromatography, gas chromatography, chemical method or electrochemical method.
The pollutant migration model is specifically a two-dimensional pollutant migration model, and the specific pollutant migration simulation process is expressed by the following formula:
the analytical solution is obtained by adopting a Fourier transform method, and the expression is as follows:
in the formula: c is the pollutant concentration of the predicted point at the time point (x, y) t; x and y are coordinate positions of the origin of coordinates of the pollutant leakage point; t(s) is the time length from the pollutant discharge moment to the current moment; k is the pollutant degradation coefficient; u. ofxAnd uyThe average speed of longitudinal and transverse water flow of the water area respectively; dxAnd DyLongitudinal diffusion coefficients and transverse diffusion coefficients of pollutants in a water body are respectively; m is the total pollutant emission amount; h is the depth of the water area.
The specific process of enterprise preliminary screening in the suspicious sewage discharge area is as follows:
s1: determining a suspicious pollutant discharge area of pollutants according to the pollutant migration model simulation;
s2: extracting pollutant type information obtained through detection;
s3: matching the pollutant type information with the water pollutant category information in the water pollution record database to obtain the type of the pollutant;
s4: and traversing the basic enterprise information in the water pollution record database, and screening out related enterprises producing or using pollutants of the type in the suspicious sewage discharge area to obtain the number of the related enterprises discharging the sewage in the sewage discharge area.
The tracing process of the pollutant stealing and discharging enterprise is as follows:
SS 1: acquiring the number of related pollution discharge enterprises in the pollution discharge area;
SS 2: extracting detected pollutant component information;
SS 3: performing correlation calculation analysis on the pollutant component information and products of pollution discharge related enterprises in the pollution discharge area by using a correlation algorithm;
SS 4: screening out the enterprises with the maximum correlation coefficient to obtain specific steal enterprises;
the association algorithm is specifically Apriori.
A water pollution fast traceability system comprises a water pollution filing database module, a pollutant acquisition module, a pollutant detection module, a migration simulation module, a related enterprise prescreening module and an enterprise traceability module for stealing and draining;
the water pollution filing database module is used for storing hydrological information, water pollutant information and water area upstream enterprise information; the pollutant acquisition module is used for acquiring the water quality of the monitored water area in real time to obtain a water quality sample; the pollutant detection module is used for detecting the water quality sample to obtain pollutant type information and pollutant component information; the migration simulation module is used for carrying out simulation inversion migration simulation according to the pollutant migration model to obtain a suspicious pollutant discharge area of the pollutant; the related enterprise preliminary screening module is used for screening the suspicious pollution discharge area of the pollutant and the type information of the pollutant; searching related sewage discharge enterprises in the area through a pollution record database to obtain the number of the related sewage discharge enterprises in the sewage discharge area; and the theft and exclusion enterprise traceability module is used for analyzing the correlation degree of the pollutant component information and the enterprise basic information, and tracing and determining the specific theft and exclusion enterprise.
The working principle and the using process of the invention are as follows: when the method is used, firstly, hydrological information of a monitored water area needs to be acquired, basic information of an upstream enterprise of the monitored water area is acquired, water pollutant category information is acquired, and a water pollution record database is generated; then, deploying a monitoring section and a sampling point in the monitored water area, and collecting the water quality of the monitored water area in real time to obtain a water quality sample; then acquiring position information of a monitoring section and a sampling point, and performing simulation inversion migration simulation on the pollutants by using a pollutant migration model to obtain a suspicious pollutant discharge area of the pollutants; then searching related enterprises in the area through a pollution record database according to the suspicious pollutant discharge area and the pollutant type information of the pollutants to obtain the number of the related enterprises in the pollutant discharge area; finally, according to the number of related pollution discharge enterprises in the pollution discharge area, carrying out association degree analysis on pollutant component information and enterprise basic information, and tracing to determine specific stealing and discharging enterprises; according to the invention, the water pollution record database is constructed, so that the tracing time of water pollutants is greatly shortened, and the water pollutants are subjected to simulation migration simulation by establishing a two-dimensional pollutant migration model, so that the suspicious sewage discharge area can be rapidly checked; according to the pollutant type information, quantity retrieval is carried out on related enterprises of the suspicious sewage discharge area, the quantity of the related enterprises of the sewage discharge in the sewage discharge area is obtained, and the traceability range of the water pollutants is favorably reduced; and correlation degree analysis is carried out on related pollution discharge enterprises in the pollution discharge area according to the pollutant component information, so that specific pollution discharge enterprises can be rapidly and accurately searched, and the pollution accident is effectively avoided from being aggravated.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (6)
1. A water pollution rapid tracing method is characterized by comprising the following steps:
(1) constructing a water pollution record database: acquiring hydrological information of a monitored water area, acquiring basic enterprise information of an upstream enterprise of the monitored water area, acquiring water pollutant category information and generating a water pollution record database;
(2) deploying a monitoring section and a sampling point to sample the water body: deploying a monitoring section and a sampling point in the monitored water area, and collecting the water quality of the monitored water area in real time to obtain a water quality sample;
(3) detecting water body pollutants: detecting a water quality sample by using a detection method to obtain pollutant type information and pollutant component information;
(4) and (3) pollutant migration simulation: acquiring position information of a monitoring section and a sampling point, and performing simulation inversion migration simulation on the pollutants by using a pollutant migration model to obtain a suspicious pollutant discharge area of the pollutants;
(5) primary screening of enterprises in suspicious sewage discharge areas: searching related sewage discharge enterprises in the area through a pollution record database according to the suspicious sewage discharge area and the pollutant type information of the pollutants to obtain the number of the related sewage discharge enterprises in the sewage discharge area;
(6) tracing the enterprise by stealing pollutants: and after the number of related pollution discharge enterprises in the pollution discharge area is determined, carrying out association degree analysis on the pollutant component information and the basic enterprise information, and tracing to determine specific stealing and discharging enterprises.
2. The method of claim 1, wherein the hydrological information includes monitoring section position information, water longitudinal and transverse water flow average velocity and water depth; the enterprise basic information comprises enterprise positions, production materials and production fields; the water pollutant class information comprises chemical pollutants, physical pollutants and biological pollutants; the detection method is one or more of ion chromatography, gas chromatography, chemical method or electrochemical method.
3. The method for rapidly tracing to the source of water pollution according to claim 1, wherein the pollutant migration model is specifically a two-dimensional pollutant migration model, and the specific pollutant migration simulation process is expressed by a formula as follows:
the analytical solution is obtained by adopting a Fourier transform method, and the expression is as follows:
in the formula: c is the pollutant concentration of the predicted point at the time point (x, y) t; x and y are coordinate positions of the origin of coordinates of the pollutant leakage point; t(s) is the time length from the pollutant discharge moment to the current moment; k is the pollutant degradation coefficient; u. ofxAnd uyThe average speed of longitudinal and transverse water flow of the water area respectively; dxAnd DyLongitudinal diffusion coefficients and transverse diffusion coefficients of pollutants in a water body are respectively; m is the total pollutant emission amount; h is the depth of the water area.
4. The method for rapidly tracing to the source of water pollution according to claim 1, wherein the specific process of enterprise preliminary screening in the suspicious sewage discharge area is as follows:
s1: determining a suspicious pollutant discharge area of pollutants according to the pollutant migration model simulation;
s2: extracting pollutant type information obtained through detection;
s3: matching the pollutant type information with the water pollutant category information in the water pollution record database to obtain the type of the pollutant;
s4: and traversing the basic enterprise information in the water pollution record database, and screening out related enterprises producing or using pollutants of the type in the suspicious sewage discharge area to obtain the number of the related enterprises discharging the sewage in the sewage discharge area.
5. The method for quickly tracing water pollution according to claim 1, wherein the tracing process of the pollutant stealing enterprise is as follows:
SS 1: acquiring the number of related pollution discharge enterprises in the pollution discharge area;
SS 2: extracting detected pollutant component information;
SS 3: performing correlation calculation analysis on the pollutant component information and products of pollution discharge related enterprises in the pollution discharge area by using a correlation algorithm;
SS 4: screening out the enterprises with the maximum correlation coefficient to obtain specific steal enterprises;
the association algorithm is specifically Apriori.
6. A water pollution rapid traceability system is characterized by comprising a water pollution filing database module, a pollutant acquisition module, a pollutant detection module, a migration simulation module, a related enterprise prescreening module and a steal enterprise traceability module;
the water pollution filing database module is used for storing hydrological information, water pollutant information and water area upstream enterprise information; the pollutant acquisition module is used for acquiring the water quality of the monitored water area in real time to obtain a water quality sample; the pollutant detection module is used for detecting a water quality sample to obtain pollutant type information and pollutant component information; the migration simulation module is used for carrying out simulation inversion migration simulation according to the pollutant migration model to obtain a suspicious pollutant discharge area of the pollutant; the related enterprise preliminary screening module is used for screening the suspicious pollution discharge area of the pollutant and the type information of the pollutant; searching related sewage discharge enterprises in the area through a pollution record database to obtain the number of the related sewage discharge enterprises in the sewage discharge area; the theft and exclusion enterprise traceability module is used for analyzing the correlation degree of the pollutant component information and the enterprise basic information, and tracing and determining a specific theft and exclusion enterprise.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110443593.9A CN113449956A (en) | 2021-04-23 | 2021-04-23 | Water pollution rapid tracing method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110443593.9A CN113449956A (en) | 2021-04-23 | 2021-04-23 | Water pollution rapid tracing method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113449956A true CN113449956A (en) | 2021-09-28 |
Family
ID=77809518
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110443593.9A Withdrawn CN113449956A (en) | 2021-04-23 | 2021-04-23 | Water pollution rapid tracing method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113449956A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114113529A (en) * | 2021-12-02 | 2022-03-01 | 大连理工大学 | Intelligent tracing method for watershed water pollution |
| CN114814035A (en) * | 2022-05-07 | 2022-07-29 | 中国科学院城市环境研究所 | Sewage tracing method based on full two-dimensional gas chromatography-mass spectrometry |
| CN114819773A (en) * | 2022-06-29 | 2022-07-29 | 天津大学 | Enterprise green production management and control method and system based on big data |
| CN115048475A (en) * | 2022-06-09 | 2022-09-13 | 南京国环科技股份有限公司 | Rapid water pollution source tracing method and system based on big data |
| CN115330132A (en) * | 2022-07-20 | 2022-11-11 | 中交上海航道局有限公司 | Method for water quality distribution reverse-time inversion of wide and shallow river in sudden pollution accident |
| CN117094473A (en) * | 2023-10-17 | 2023-11-21 | 江苏阿克曼环保科技有限公司 | Environment-friendly data acquisition and monitoring control method and system based on industrial Internet of things |
| CN117113027A (en) * | 2023-08-22 | 2023-11-24 | 航天科工智慧产业发展有限公司 | Pollution source tracing method and system based on water pollution |
| CN117495634A (en) * | 2023-11-03 | 2024-02-02 | 惠州市正方环保科技有限公司 | Intelligent management method, system and device for quick detection of water quality tracing |
-
2021
- 2021-04-23 CN CN202110443593.9A patent/CN113449956A/en not_active Withdrawn
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114113529A (en) * | 2021-12-02 | 2022-03-01 | 大连理工大学 | Intelligent tracing method for watershed water pollution |
| CN114814035A (en) * | 2022-05-07 | 2022-07-29 | 中国科学院城市环境研究所 | Sewage tracing method based on full two-dimensional gas chromatography-mass spectrometry |
| CN115048475A (en) * | 2022-06-09 | 2022-09-13 | 南京国环科技股份有限公司 | Rapid water pollution source tracing method and system based on big data |
| CN114819773A (en) * | 2022-06-29 | 2022-07-29 | 天津大学 | Enterprise green production management and control method and system based on big data |
| CN115330132A (en) * | 2022-07-20 | 2022-11-11 | 中交上海航道局有限公司 | Method for water quality distribution reverse-time inversion of wide and shallow river in sudden pollution accident |
| CN117113027A (en) * | 2023-08-22 | 2023-11-24 | 航天科工智慧产业发展有限公司 | Pollution source tracing method and system based on water pollution |
| CN117113027B (en) * | 2023-08-22 | 2024-03-19 | 航天科工智慧产业发展有限公司 | Pollution source tracing method and system based on water pollution |
| CN117094473A (en) * | 2023-10-17 | 2023-11-21 | 江苏阿克曼环保科技有限公司 | Environment-friendly data acquisition and monitoring control method and system based on industrial Internet of things |
| CN117094473B (en) * | 2023-10-17 | 2024-01-26 | 江苏阿克曼环保科技有限公司 | Environment-friendly data acquisition and monitoring control method and system based on industrial Internet of things |
| CN117495634A (en) * | 2023-11-03 | 2024-02-02 | 惠州市正方环保科技有限公司 | Intelligent management method, system and device for quick detection of water quality tracing |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113449956A (en) | Water pollution rapid tracing method and system | |
| CN110376343B (en) | Method and device for accurately diagnosing pollution source and electronic device | |
| CN111539867A (en) | Environment investigation method aiming at underground water chlorinated hydrocarbon pollution | |
| CN111596002B (en) | LEL and V0C intelligent online analysis and treatment system for detecting waste gas | |
| CN110987909A (en) | Method and device for analyzing spatial distribution and source of heavy metals in farmland soil | |
| CN111678969A (en) | Method for analyzing heavy metal pollution source by using soil profile surface layer heavy metal accumulation proportion | |
| CN115062071B (en) | Water resource pollution diffusion analysis method and system for river channel | |
| CN110033133A (en) | Silt source tracing method in a kind of river and lake system | |
| CN116340723A (en) | Rural water pollution quick tracing method and system based on big data | |
| Zhu et al. | Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm | |
| CN103293257A (en) | Cigarette smoke chromatographic data retention time drifting MWFFT (Moving Windows Fast Fourier Transform) calibration method | |
| CN106442414A (en) | Device for conducting fast detection on water body petroleum pollutants based on Brillouin-Raman spectra and method thereof | |
| CN114527206A (en) | Method and system for tracing groundwater pollution by sulfonamides antibiotics | |
| CN1896742A (en) | Space-pollution realtime monitoring indicator | |
| CN112730774A (en) | Automatic tracing method for underground water pollutants | |
| CN116448988A (en) | Industrial park soil pollution monitoring system and method | |
| CN111007220B (en) | Method for agile monitoring of water quality of live pig breeding sewage | |
| CN105928909A (en) | Water quality detection method | |
| CN112268993A (en) | Method for rapidly monitoring river channel water quality parameters based on electronic nose technology | |
| CN111582734A (en) | Ocean pollution comparative analysis and risk assessment intelligent method based on python crawler system and SVM | |
| CN104360014B (en) | Mimic water-depth changes the device to sediment nitrogen phosphorus and heavy metal release venture influence | |
| Comer-Warner et al. | The method controls the story-Sampling method impacts on the detection of pore-water nitrogen concentrations in streambeds | |
| CN109711736B (en) | Method and device for screening watershed water environment risk substances | |
| CN104280491B (en) | A kind of analytical approach detecting 11 kinds of ionic liquid cation in soil | |
| CN107238670A (en) | A kind of method of five kinds of cations in Simultaneous Determination zymotic fluid |
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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210928 |