CN112730774A - Automatic tracing method for underground water pollutants - Google Patents
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- CN112730774A CN112730774A CN202011415304.6A CN202011415304A CN112730774A CN 112730774 A CN112730774 A CN 112730774A CN 202011415304 A CN202011415304 A CN 202011415304A CN 112730774 A CN112730774 A CN 112730774A
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- 238000000034 method Methods 0.000 title claims abstract description 27
- 239000003403 water pollutant Substances 0.000 title claims abstract description 13
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 32
- 239000003344 environmental pollutant Substances 0.000 claims abstract description 24
- 231100000719 pollutant Toxicity 0.000 claims abstract description 24
- 239000003673 groundwater Substances 0.000 claims abstract description 14
- 238000005070 sampling Methods 0.000 claims abstract description 13
- 238000011835 investigation Methods 0.000 claims abstract description 10
- 150000002500 ions Chemical class 0.000 claims abstract description 10
- 238000002474 experimental method Methods 0.000 claims abstract description 7
- 238000012544 monitoring process Methods 0.000 claims abstract description 7
- 238000004088 simulation Methods 0.000 claims abstract description 7
- 239000011159 matrix material Substances 0.000 claims abstract description 5
- 239000010865 sewage Substances 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 claims description 6
- 230000007613 environmental effect Effects 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 5
- GRYLNZFGIOXLOG-UHFFFAOYSA-N Nitric acid Chemical compound O[N+]([O-])=O GRYLNZFGIOXLOG-UHFFFAOYSA-N 0.000 claims description 3
- 239000004698 Polyethylene Substances 0.000 claims description 3
- 238000012271 agricultural production Methods 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 3
- 238000009826 distribution Methods 0.000 claims description 3
- 239000011521 glass Substances 0.000 claims description 3
- 229910017604 nitric acid Inorganic materials 0.000 claims description 3
- 229920003023 plastic Polymers 0.000 claims description 3
- 239000004033 plastic Substances 0.000 claims description 3
- -1 polyethylene Polymers 0.000 claims description 3
- 229920000573 polyethylene Polymers 0.000 claims description 3
- 238000011144 upstream manufacturing Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 2
- 238000004590 computer program Methods 0.000 abstract 1
- 238000003911 water pollution Methods 0.000 abstract 1
- 238000003895 groundwater pollution Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000005067 remediation Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012876 topography Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- 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
- Y02A20/20—Controlling water pollution; Waste water treatment
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Abstract
The invention discloses an automatic tracing method for underground water pollutants, which relates to the related technical field of underground water tracing and comprises the following five steps: the method comprises the following steps: investigation and step two: sampling, and step three: analyzing and step four: experiment and step five: by contrast, by inputting the concentrations of different ions in the water sample into the relevant statistical analysis software, the relationship between different ions can be analyzed to form a correlation matrix, the correlation coefficients of all components in the groundwater can be clearly seen, the pollution cause can be deduced from the correlation coefficients of all components, and the approximate source of the pollutant can be determined through a simulation experiment. The invention is realized by combining with a computer program, so that a computer system can automatically trace the source of the pollutants according to the monitoring data, quickly identify the occurrence position of the pollution source and provide a sufficient basis for timely and reasonably taking effective measures to prevent and control the underground water pollution.
Description
Technical Field
The invention relates to the technical field of groundwater tracing, in particular to an automatic tracing method for groundwater pollutants.
Background
Because the ground water pollution of the site has strong concealment and outburst, when the pollution is found, the source of the pollutant is not easy to determine, and the rapid identification of the position of the pollution source has important research value for the formulation of site remediation, control and prevention measures. Tracing of groundwater pollutants (analysis of groundwater pollution sources) is to find the position of the pollution source and the history of migration and transformation of pollutants through limited observation data, and is the primary step of groundwater pollution treatment.
At present, underground water pollutant tracing methods can be divided into a geochemical footprint method and a mathematical simulation method, the problems of searching the position of a pollution source and the evolution process of pollutants along with time cannot be completely solved by singly using the geochemical footprint method, and the mathematical simulation method is limited by factors such as aquifer parameters, pollutant concentration, uncertainty of a model and the like and cannot completely meet the requirements of practical application, so that the invention of the underground water pollutant automatic tracing method is necessary to solve the problems.
Disclosure of Invention
The invention aims to provide an automatic tracing method for underground water pollutants, which aims to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: an automatic tracing method for underground water pollutants comprises the following steps:
the method comprises the following steps: and (3) investigation: firstly, on-site investigation and data collection are carried out, mainly aiming at knowing the environmental characteristics of the area;
step two: sampling: scientifically distributing points based on the field investigation result, and collecting a certain amount of underground sewage in the corresponding area by using a sewage collector;
step three: and (3) analysis: inputting different ion concentrations in a water sample into related statistical analysis software, analyzing the relationship among different ions to form a correlation matrix, not only clearly seeing the correlation coefficient of each component in the underground water, but also deducing the pollution reason from the correlation coefficient of each component, wherein the analysis software is SPSS data statistical analysis software;
step four: experiment: observing the average time length of the polluted water from the upstream to the downstream of the experiment through a simulation experiment, thereby calculating the longest distance and the shortest distance which can be reached by the pollutant when the pollutant moves from a pollution source point to the downstream in the two monitoring intervals under different hydraulic gradients, and determining the approximate source of the pollutant;
step five: and (3) comparison: and comparing the groundwater sample in the measuring area with the analyzed data, locking the polluted source area, and recording and storing the data so as to facilitate the next use.
Preferably, the environmental characteristics in the first step include topography, climate conditions, hydrogeology, surface runoff, pollution source distribution and characteristics, current land utilization and agricultural production.
Preferably, in the process of collecting the underground water in the second step, the underground sewage is sampled by adopting the water sampling sample, then the sampled water is filtered, the pollutant residues are left, the sampling is repeated for 3-5 times, the left residues are converged and poured into the collecting bottle, and then the underground sewage is injected into the collecting bottle, so that the concentration of the pollutants in the underground water is improved, and the analysis and the detection are convenient.
Preferably, the sampling bottle and the collection bottle in the second step are generally hard glass bottles or polyethylene plastic bottles, and are soaked in a nitric acid solution for 12 hours and then sterilized at high temperature.
Preferably, in the fifth step, the water quality monitoring results of the groundwater in the region are compared with reference to the related standard water quality requirements or the background water quality of the groundwater, and the exceeding rate and the maximum exceeding multiple of each index are obtained, the index with the higher exceeding rate is considered to be influenced by a common pollution source in the region, and the index with the higher exceeding multiple is considered to be influenced by the pollution source to a stronger extent.
The invention has the technical effects and advantages that: the invention inputs different ion concentrations in the water sample into related statistical analysis software, can analyze the relationship among different ions to form a correlation matrix, can clearly see the correlation coefficient of each component in the groundwater, can deduce the pollution reason from the correlation coefficient of each component, and can determine the rough source of the pollutant through a simulation experiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to 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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An automatic tracing method for underground water pollutants comprises the following steps:
the method comprises the following steps: and (3) investigation: firstly, performing field investigation and data collection, and mainly knowing the environmental characteristics of an area, wherein the environmental characteristics comprise landform, climate conditions, hydrogeology, surface runoff, pollution source distribution and characteristics, the current situation of land utilization and the current situation of agricultural production;
step two: sampling: carrying out scientific stationing based on a field investigation result, collecting a certain amount of underground sewage in a corresponding area by using a sewage collector, sampling the underground sewage by using a water sampling sample in the collection process, filtering the sampled water to leave pollutant residues, repeating the steps for 3-5 times, converging the left residues and pouring the residues into a collection bottle, injecting the underground sewage into the collection bottle to improve the concentration of pollutants in the underground water, and facilitating analysis and detection, wherein the sampling bottle and the collection bottle are generally hard glass bottles or polyethylene plastic bottles, are soaked for 12 hours by using a nitric acid solution, and are sterilized at high temperature;
step three: and (3) analysis: inputting different ion concentrations in a water sample into related statistical analysis software, analyzing the relationship among different ions to form a correlation matrix, not only clearly seeing the correlation coefficient of each component in the underground water, but also deducing the pollution reason from the correlation coefficient of each component, wherein the analysis software is SPSS data statistical analysis software;
step four: experiment: observing the average time length of the polluted water from the upstream to the downstream of the experiment through a simulation experiment, thereby calculating the longest distance and the shortest distance which can be reached by the pollutant when the pollutant moves from a pollution source point to the downstream in the two monitoring intervals under different hydraulic gradients, and determining the approximate source of the pollutant;
step five: and (3) comparison: comparing the groundwater sample in the measuring area with the analyzed data, locking a pollution source area, recording and storing the data, and facilitating the next use, wherein the related standard water quality requirement or background water quality of groundwater needs to be referred in the comparison process, and comparing the groundwater water quality monitoring result in the area to obtain the exceeding rate and the maximum exceeding multiple of each index, wherein the index with larger exceeding rate is considered to be influenced by a more common pollution source in the area, and the index with larger exceeding multiple is considered to be influenced by the pollution source to a stronger extent.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
Claims (5)
1. An automatic tracing method for underground water pollutants is characterized by comprising the following steps:
the method comprises the following steps: and (3) investigation: firstly, on-site investigation and data collection are carried out, mainly aiming at knowing the environmental characteristics of the area;
step two: sampling: scientifically distributing points based on the field investigation result, and collecting a certain amount of underground sewage in the corresponding area by using a sewage collector;
step three: and (3) analysis: inputting different ion concentrations in a water sample into related statistical analysis software, analyzing the relationship among different ions to form a correlation matrix, not only clearly seeing the correlation coefficient of each component in the underground water, but also deducing the pollution reason from the correlation coefficient of each component, wherein the analysis software is SPSS data statistical analysis software;
step four: experiment: observing the average time length of the polluted water from the upstream to the downstream of the experiment through a simulation experiment, thereby calculating the longest distance and the shortest distance which can be reached by the pollutant when the pollutant moves from a pollution source point to the downstream in the two monitoring intervals under different hydraulic gradients, and determining the approximate source of the pollutant;
step five: and (3) comparison: and comparing the groundwater sample in the measuring area with the analyzed data, locking the polluted source area, and recording and storing the data so as to facilitate the next use.
2. The automatic tracing method for underground water pollutants according to claim 1, characterized in that: the environmental characteristics in the first step comprise landform, climate conditions, hydrogeology, surface runoff, pollution source distribution and characteristics, current land utilization situation and current agricultural production situation.
3. The automatic tracing method for underground water pollutants according to claim 1, characterized in that: and in the second step, sampling the underground sewage by using a water sampling sample in the process of collecting the underground water, filtering the sampled water, leaving pollutant residues, repeating the steps for 3-5 times, converging the left residues, pouring the residues into a collecting bottle, and injecting the underground sewage into the collecting bottle, so that the concentration of the pollutants in the underground water is improved, and the underground sewage is convenient to analyze and detect.
4. The automatic tracing method for underground water pollutants according to claim 1, characterized in that: and in the second step, the sampling bottle and the collecting bottle are generally hard glass bottles or polyethylene plastic bottles, are soaked in a nitric acid solution for 12 hours, and are sterilized at high temperature.
5. The automatic tracing method for underground water pollutants according to claim 1, characterized in that: and fifthly, comparing the regional groundwater water quality monitoring results with reference to related standard water quality requirements or background water quality of groundwater to obtain the exceeding rate and the maximum exceeding multiple of each index, wherein the index with the larger exceeding rate is considered to be influenced by a more common pollution source in the region, and the index with the larger exceeding multiple is considered to be influenced by the pollution source to a stronger degree.
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| CN202011415304.6A CN112730774A (en) | 2020-12-04 | 2020-12-04 | Automatic tracing method for underground water pollutants |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113267607A (en) * | 2021-05-11 | 2021-08-17 | 浙江大学 | Characteristic parameter identification system for field organic pollutant migration process |
| 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 |
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2020
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113267607A (en) * | 2021-05-11 | 2021-08-17 | 浙江大学 | Characteristic parameter identification system for field organic pollutant migration process |
| CN113267607B (en) * | 2021-05-11 | 2022-04-08 | 浙江大学 | Characteristic parameter identification system for field organic pollutant migration process |
| 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 |
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