CN115329607A - System and method for evaluating underground water pollution - Google Patents

System and method for evaluating underground water pollution Download PDF

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CN115329607A
CN115329607A CN202211256594.3A CN202211256594A CN115329607A CN 115329607 A CN115329607 A CN 115329607A CN 202211256594 A CN202211256594 A CN 202211256594A CN 115329607 A CN115329607 A CN 115329607A
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CN115329607B (en
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张立川
王超
邹晔
秦志强
陈洪年
张宇飞
薛良方
朱世芳
张梅
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Shandong Lunan Geological Engineering Survey Institute of Second Geological Brigade of Shandong Geological Survey Bureau
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Abstract

The invention relates to the field of data processing of prediction evaluation, and particularly discloses an evaluation system and method for underground water pollution. According to the invention, the geological condition information and hydrogeological condition information of the closed pit coal mine area can be acquired through the arrangement of the data acquisition module, and SO is used 4 2‑ The diffusion of (2) represents the diffusion of groundwater pollution caused by the reverse osmosis of accumulated water in a mine pit, and the mass conservation and SO are utilized 4 2‑ Establishing a numerical model according to diffusion rules, arranging grids in a three-dimensional region to be researched, solving the determined position coordinates of a pollution source by combining known boundary conditions and initial conditions, sampling at a calibrated target, analyzing the credibility of a numerical simulation result, and solving the problem that the existing underground water pollution evaluation system does not combine numerical valuesThe simulation technology is used for inversing and tracking the position of the coal mine series layer polluted well, and the accuracy of treatment of the coal mine series layer polluted well is improved.

Description

System and method for evaluating underground water pollution
Technical Field
The invention relates to the field of data processing of prediction evaluation, in particular to an evaluation system and method for groundwater pollution.
Background
Because the groundwater is below the earth's surface and exists in the gap of rock, therefore groundwater is difficult to discover after being polluted, the groundwater can not be excavated all the earth's surface to look for pollution sources after being polluted, only a plurality of sampling wells can be excavated in the earth's surface, groundwater pollution and pollution sources can be evaluated through the groundwater data of the sampling wells, the identification of groundwater pollution sources through the numerical simulation method combined with groundwater sampling monitoring and inversion becomes very important, and especially, the assessment of groundwater pollution through the numerical simulation means in coal mines is a technology to be developed urgently.
In the literature, "research progress and development direction of underground water pollution prevention and control technology of coal mine site", it is mentioned that a pit is closed and production is stopped after long-term large-scale mining, underground water pollution is caused by stopping drainage of pit water after pit closing and production stopping, but complex mining can be performed according to the position of a coal seam in the excavation process of a coal mine, the trend and distribution of the pit are complicated, so that the position of pit water accumulation of polluted underground water is difficult to find, a string layer polluted well causing underground water pollution is found, effective plugging and feeding of physicochemical materials or medicaments are important means for preventing and controlling the underground water pollution of the mine, but the existing underground water pollution assessment system does not use a numerical simulation means to utilize underground water sampling monitoring data to reversely identify the string layer polluted well position of the polluted underground water, and the string layer polluted well position causing underground water pollution can be effectively plugged or the string layer polluted well causing underground water pollution can be prevented from being aggravated after the string layer polluted well position causing underground water pollution is determined by utilizing the numerical simulation means and the underground water sampling monitoring data to reversely identify.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the invention provides an underground water pollution evaluation system and method, and aims to overcome the defect that the positions of series-layer polluted wells polluting underground water are inversely identified by means of underground water sampling monitoring data combined with a numerical simulation method in the conventional underground water pollution evaluation system.
The invention solves the technical problems through the following technical scheme, and the device comprises a data acquisition module, a numerical inversion tracking module and a pollution evaluation module, wherein the data acquisition module is used for transmitting geological and hydrogeological conditions of a research mining area and underground water monitoring data of a sampling well to the numerical inversion tracking module;
the method for tracking the underground water pollution source of the closed-pit coal mine area by the underground water pollution evaluation system through numerical simulation technology inversion comprises the following steps:
the method comprises the following steps: the data acquisition module acquires the underground water quality and water level information of a sampling well, the geological conditions and hydrogeological conditions of a mining area and the range of a cross-layer polluted well, and transmits data to the numerical inversion tracking module;
step two: the numerical inversion tracking module carries out grid division on a researched area, locally encrypts the area in the range of the series layer contaminated well, and is based on SO according to data provided by the data acquisition module 4 2- Diffusion of (2) to establish multiple phasesThe flow numerical simulation model sets numerical simulation initial conditions and boundary conditions according to data provided by the data acquisition module, defines the range of the series layer polluted well and solves the three-dimensional coordinates of the pollution source;
step three: obtaining three-dimensional coordinates according to a numerical simulation technology, punching and sampling at the coordinate position, and verifying SO in the groundwater sample at the position of the pollution source 4 2- Whether the concentration of (b) is close to the calculated concentration obtained by numerical simulation calculation;
step four: performing numerical simulation on different string layer polluted wells by the same method, and collecting numerical simulation results and sampling results;
step five: analyzing the reliability of the calculation result of the numerical simulation, and calculating to obtain SO by using the numerical simulation 4 2- Concentration minus actual SO in the sampled groundwater 4 2- Absolute value of concentration, divided by SO in the actual sampled groundwater 4 2- The obtained percentage is used as the basis of credibility evaluation, the obtained percentage value which is more than 80 percent is recorded as a credible sample group, and the stratum polluted well corresponding to the credible sample group is effectively plugged or a medicament is put in for treatment.
As a further scheme of the present invention, the real-time monitoring data of the mining area geological condition, the hydrogeological condition and the groundwater sampling well collected by the data collection module includes:
three-dimensional zone boundaries of the actual study site: the method is used for defining a three-dimensional calculation area of a numerical simulation calculation flow field, setting a calculated space step length L according to the actual field size, and dividing the actual research field size into
Figure 100002_DEST_PATH_IMAGE002
In the formula, aL, bL and cL are recorded as the length, width and depth of an actual research site, and a coordinate set in a calculation area is recorded as
Figure 100002_DEST_PATH_IMAGE004
And (3) the stratum properties and classification of the mining area to be evaluated: the device is used for setting numerical values to calculate the type of the diving aquifer and setting the property and the parameter of the diving aquifer according to most of the types of the diving aquifers;
surface type: setting the upper boundary of the numerical simulation calculation as a water exchange boundary according to the field openness and rainwater infiltration characteristics
Figure 100002_DEST_PATH_IMAGE006
Boundary formation properties of the underlying groundwater: the bottom boundary property and parameter used for setting the numerical simulation calculation area are set as the zero flux boundary according to the characteristics of the bottom micro-penetration
Figure 100002_DEST_PATH_IMAGE008
And (3) researching underground water flow and water pressure information around the mining area: setting the types and parameters of the upper boundary, the lower boundary, the left boundary and the right boundary of the calculation area, setting the upper boundary and the lower boundary of the simulation area to be watertight zero-flux boundaries, and respectively recording the upper boundary and the lower boundary as water-impervious zero-flux boundaries
Figure 100002_DEST_PATH_IMAGE010
And
Figure 100002_DEST_PATH_IMAGE012
the left and right boundaries are set as boundaries of known pressure and are noted as the left and right boundaries, respectively
Figure 100002_DEST_PATH_IMAGE014
And
Figure 100002_DEST_PATH_IMAGE016
setting the sampling time interval of the monitoring data: as a basis for dividing monitoring time of numerical simulation calculation;
sampling well information: the numerical simulation system is used for numbering the sampling wells and carrying out numerical calculation in the numerical simulation calculation;
sampling SO in well water quality information 4 2- Concentration: from the desired position SO of the pollution source by means of sampling 4 2- Extracting 300 groups of data from the concentration range, substituting the data into the multiphase flow numerical simulation model, inverting the model, and taking 100 groups of close sampling wells SO 4 2- And (4) checking the concentration data, and performing statistical calculation on the data with the accuracy reaching the preset requirement.
As a further aspect of the present invention, the numerical modeling information of the numerical tracking inversion module includes:
initial conditions were as follows: initial pressure distribution, initial SO including simulation zone 4 2- And an aqueous phase and an initial SO 4 2- The initial conditions are as follows:
Figure 100002_DEST_PATH_IMAGE018
Figure 100002_DEST_PATH_IMAGE020
Figure 100002_DEST_PATH_IMAGE022
in the formula:
Figure 100002_DEST_PATH_IMAGE024
noted as the initial pressure distribution function of the simulated zone,
Figure 100002_DEST_PATH_IMAGE026
noting a known pressure function;
Figure 100002_DEST_PATH_IMAGE028
is recorded as the initial saturation of the groundwater,
Figure 100002_DEST_PATH_IMAGE030
recording as a known groundwater saturation function;
Figure 100002_DEST_PATH_IMAGE032
record as SO in groundwater 4 2- As a function of the initial concentration of the compound,
Figure 100002_DEST_PATH_IMAGE034
note as known SO 4 2- An initial concentration function;
boundary conditions: setting known flow boundary and pressure boundary according to hydrogeological conditions, setting source and sink terms and SO according to the rainstorm intensity of mining area and the information of peripheral rivers 4 2- Concentration boundary, boundary conditions are as follows:
Figure 100002_DEST_PATH_IMAGE036
Figure 100002_DEST_PATH_IMAGE038
Figure 100002_DEST_PATH_IMAGE040
Figure 100002_DEST_PATH_IMAGE042
Figure 100002_DEST_PATH_IMAGE044
Figure 100002_DEST_PATH_IMAGE046
Figure 100002_DEST_PATH_IMAGE048
Figure 100002_DEST_PATH_IMAGE050
in the formula:
Figure 100002_DEST_PATH_IMAGE052
record as SO in groundwater 4 2- The concentration of (c);
Figure 100002_DEST_PATH_IMAGE054
is recorded as the actual average flow velocity of the groundwater,
Figure 100002_DEST_PATH_IMAGE056
is marked as SO 4 2- The degree of saturation of (a) is,
Figure 100002_DEST_PATH_IMAGE058
record as SO in groundwater 4 2- N is expressed as the normal direction of the boundary,
Figure 100002_DEST_PATH_IMAGE060
noted as a known pressure distribution function on the upper boundary,
Figure 100002_DEST_PATH_IMAGE062
the known pressure function noted as the left boundary,
Figure 100002_DEST_PATH_IMAGE064
the known pressure function noted as the right boundary,
Figure 100002_DEST_PATH_IMAGE066
is denoted as upper boundary SO 4 2- Is determined by the known concentration function of (a),
Figure 100002_DEST_PATH_IMAGE068
SO marked as left boundary 4 2- With the knowledge of the function of the concentration,
Figure 640785DEST_PATH_IMAGE066
SO marked as right boundary 4 2- A known concentration function;
time step length: setting a numerical simulation calculation time step length T according to the sampling time interval of the sampling well, and selecting calculation moments T =10T,11T,12T,13T and 14T which need to be subjected to simulation calculation;
the multiphase flow numerical simulation calculates partial differential equation: establishing a multiphase flow partial differential equation according to the mass conservation law, wherein the multiphase flow partial differential equation is as follows:
Figure 100002_DEST_PATH_IMAGE070
Figure 100002_DEST_PATH_IMAGE072
in the formula: s is the kind of the constituent, s =1 is the water as the constituent, s =2 is the SO as the constituent 4 2-
Figure 100002_DEST_PATH_IMAGE074
Is recorded as studying the porosity of the formation in the simulated zone,
Figure 100002_DEST_PATH_IMAGE076
record as SO in groundwater 4 2- (ii) the total concentration of (a) in (b),
Figure 100002_DEST_PATH_IMAGE078
as a result of the density of the constituent materials,
Figure 571569DEST_PATH_IMAGE052
record as SO in groundwater 4 2- The concentration of (a) in (b),
Figure 100002_DEST_PATH_IMAGE080
record as SO in groundwater 4 2- The degree of saturation of (a) is,
Figure 776286DEST_PATH_IMAGE058
record as SO in groundwater 4 2- Diffusion coefficient tensor of (a);
Figure 100002_DEST_PATH_IMAGE082
Figure 647290DEST_PATH_IMAGE072
in the formula: d is denoted as SO 4 2- The coefficient of molecular diffusion in groundwater,
Figure 100002_DEST_PATH_IMAGE084
in the form of the distortion coefficient of the formation,
Figure 100002_DEST_PATH_IMAGE086
is marked as the function of the kronecker,
Figure 100002_DEST_PATH_IMAGE088
and
Figure 100002_DEST_PATH_IMAGE090
are respectively marked as SO 4 2- Transverse and longitudinal dispersivity in groundwater,
Figure 100002_DEST_PATH_IMAGE092
is marked as SO 4 2- The speed of the seepage of (a) is,
Figure 100002_DEST_PATH_IMAGE094
and
Figure 100002_DEST_PATH_IMAGE096
respectively represent SO 4 2- The seepage partial velocity in the i direction and in the j direction;
Figure 100002_DEST_PATH_IMAGE098
Figure 733145DEST_PATH_IMAGE072
in the formula:
Figure 100002_DEST_PATH_IMAGE100
is marked as SO 4 2- The relative permeability of the porous material to the porous material,
Figure 100002_DEST_PATH_IMAGE102
is marked as SO 4 2- The intrinsic permeability of the membrane is such that,
Figure 100002_DEST_PATH_IMAGE104
in the notation of the viscosity of the groundwater,
Figure 100002_DEST_PATH_IMAGE106
recording as the pressure of the groundwater, g as the acceleration of gravity,
Figure 100002_DEST_PATH_IMAGE108
is recorded as the density of the groundwater.
As a further scheme of the invention, the numerical inversion tracking module is connected with a display screen, the display screen is used for displaying numerical simulation calculation results, displaying the calculation results on a three-dimensional map of a mining area, calibrating three-dimensional coordinates of a stratum contamination well with highest credibility, and displaying SO at the position 4 2- The concentration of (c).
As a further scheme of the present invention, the contamination evaluation module evaluates the reliability of the calculation result of the numerical inversion tracking module, and the reliability calculation formula is:
Figure 100002_DEST_PATH_IMAGE110
in the formula:
Figure 100002_DEST_PATH_IMAGE112
the data is recorded as the reliability of the data,
Figure 100002_DEST_PATH_IMAGE114
is recorded as SO obtained by numerical calculation 4 2- The concentration of the active ingredients in the mixture is,
Figure 100002_DEST_PATH_IMAGE116
record as the actual SO sampled 4 2- And (4) concentration.
Compared with the prior art, the invention has the following advantages: the system and the method for evaluating the groundwater pollution can acquire geological condition information and hydrogeological condition information of a closed pit coal mine area through the arrangement of a data acquisition module, and use SO 4 2- The diffusion of (2) represents the diffusion of groundwater pollution caused by the reverse osmosis of accumulated water in a mine pit, and the mass conservation and SO are utilized 4 2- The method comprises the steps of establishing a numerical model according to a diffusion rule, arranging grids for a researched three-dimensional area, solving a determined position coordinate of a pollution source by combining known boundary conditions and initial conditions, sampling at a calibrated target after a calculation result is obtained, analyzing the reliability of a numerical simulation result, and effectively plugging or feeding a medicament for a series layer polluted well of an area with the reliability meeting requirements, so that the defect that the position of the coal mine series layer polluted well is not inversely tracked by combining a numerical simulation technology in the existing underground water pollution assessment system is overcome, the manpower input of a large number of well drilling and sampling is reduced, and the accuracy of treatment of the coal mine series layer polluted well is improved.
Drawings
Fig. 1 is an overall structural view of the present invention.
Detailed Description
The following examples are given for the detailed implementation and the specific operation procedures, but the scope of the present invention is not limited to the following examples.
As shown in fig. 1, the present embodiment provides a technical solution: an assessment system for groundwater pollution comprises a data acquisition module, a numerical inversion tracking module and a pollution assessment module, wherein the data acquisition module is used for transmitting geological and hydrogeological conditions of a research mining area and sampling well groundwater monitoring data to the numerical inversion tracking module, the numerical inversion tracking module sets the hydrogeological conditions, calculates a flow field boundary and known boundary conditions according to acquired data information, and establishes a multiphase flow numerical simulation model, and the numerical inversion tracking module is connected with the pollution assessment module;
the method for tracking the underground water pollution source of the closed-pit coal mine area by the underground water pollution evaluation system through numerical simulation technology inversion comprises the following steps:
the method comprises the following steps: the data acquisition module acquires the underground water quality and water level information of the sampling well, the geological conditions and hydrogeological conditions of the mining area and the range of the series layer polluted well, and transmits the data to the numerical inversion tracking module;
step two: the numerical inversion tracking module carries out grid division on a researched area, locally encrypts the area in the range of the series layer contaminated well, and is based on SO according to data provided by the data acquisition module 4 2- The method comprises the steps of (1) establishing a multiphase flow numerical simulation model by diffusion, setting numerical simulation initial conditions and boundary conditions according to data provided by a data acquisition module, defining the range of a series layer polluted well, and solving the three-dimensional coordinates of a pollution source;
step three: obtaining three-dimensional coordinates according to a numerical simulation technology, punching and sampling at the coordinate position, and verifying SO in the groundwater sample at the position of the pollution source 4 2- Whether the concentration of (a) is close to the calculated concentration obtained by numerical simulation calculation;
step four: performing numerical simulation on different string layer polluted wells by the same method, and collecting numerical simulation results and sampling results;
step five: analyzing the reliability of the calculation result of the numerical simulation, and calculating to obtain SO by using the numerical simulation 4 2- Concentration minus actual SO in the sampled groundwater 4 2- Absolute value of concentration, divided by SO in the actual sampled groundwater 4 2- The obtained percentage is used as the basis of credibility evaluation, the obtained percentage value which is more than 80 percent is recorded as a credible sample group, and the stratum polluted well corresponding to the credible sample group is effectively plugged or a medicament is put in for treatment.
Geological condition information and hydrogeological condition information of a closed pit coal mine area can be acquired through the arrangement of the data acquisition module, and SO is used 4 2- The diffusion represents the diffusion of groundwater pollution caused by the reverse seepage of the accumulated water in the pit, and the quality is utilizedConservation and SO 4 2- The method comprises the steps of establishing a numerical model according to a diffusion rule, arranging grids for a three-dimensional region to be researched, solving a determined position coordinate of a pollution source by combining known boundary conditions and initial conditions, sampling and analyzing the credibility of a numerical simulation result at a calibrated target after the calculation result is obtained, and effectively plugging or feeding a medicament into a stratum-series polluted well in a region with the credibility meeting requirements.
The mining area geological condition, hydrogeological condition and groundwater sampling well real-time monitoring data collected by the data collection module comprise:
three-dimensional zone boundaries of the actual research site: the method is used for defining a three-dimensional calculation area of a numerical simulation calculation flow field, setting a calculated space step length L according to the actual field size, and dividing the actual research field size into
Figure 523247DEST_PATH_IMAGE002
In the formula, aL, bL and cL are recorded as the length, width and depth of an actual research site, and a coordinate set in a calculation area is recorded as
Figure 543155DEST_PATH_IMAGE004
And (3) the stratum properties and classification of the mining area to be evaluated: the device is used for setting numerical values to calculate the type of the diving aquifer and setting the property and the parameter of the diving aquifer according to most of the types of the diving aquifers;
surface type: setting the upper boundary of the numerical simulation calculation, setting the upper boundary as a water exchange boundary according to the field openness and the rainwater infiltration characteristic, and recording the boundary as a water exchange boundary
Figure 749009DEST_PATH_IMAGE006
Boundary formation properties of bottom groundwater: bottom for setting numerical simulation calculation areaBoundary properties and parameters, the bottom boundary of the investigation region was set to be a zero-flux boundary, recorded as
Figure 239771DEST_PATH_IMAGE008
And (3) researching underground water flow and water pressure information around the mining area: setting the types and parameters of the upper boundary, the lower boundary, the left boundary and the right boundary of the calculation area, setting the upper boundary and the lower boundary of the simulation area to be watertight zero-flux boundaries, and respectively recording the upper boundary and the lower boundary as water-impervious zero-flux boundaries
Figure 872877DEST_PATH_IMAGE010
And
Figure 380082DEST_PATH_IMAGE012
the left and right boundaries are set as boundaries of known pressure and are noted as the left and right boundaries, respectively
Figure 170053DEST_PATH_IMAGE014
And
Figure 16786DEST_PATH_IMAGE016
setting a sampling time interval of monitoring data: as a basis for dividing monitoring time of numerical simulation calculation;
sampling well information: the numerical simulation system is used for numbering the sampling wells in numerical simulation calculation and carrying out numerical calculation;
SO in sampling well water quality information 4 2- Concentration: from the desired position SO of the pollution source by means of sampling 4 2- Extracting 300 groups of data from the concentration range, substituting the data into the multiphase flow numerical simulation model, inverting the model, and taking 100 groups of close sampling wells SO 4 2- And (4) checking the concentration data, and performing statistical calculation on the data with the accuracy reaching the preset requirement.
The numerical modeling information of the numerical tracking inversion module includes:
initial conditions: initial pressure distribution, initial SO including simulation zone 4 2- And an aqueous phase and an initial SO 4 2- The initial conditions are as follows:
Figure 24056DEST_PATH_IMAGE018
Figure 487398DEST_PATH_IMAGE020
Figure 769475DEST_PATH_IMAGE022
in the formula:
Figure 533032DEST_PATH_IMAGE024
noted as the initial pressure distribution function of the simulated zone,
Figure 773520DEST_PATH_IMAGE026
noting a known pressure function;
Figure 691536DEST_PATH_IMAGE028
is recorded as the initial saturation of the groundwater,
Figure 777303DEST_PATH_IMAGE030
recording as a known groundwater saturation function;
Figure 395366DEST_PATH_IMAGE032
record as SO in groundwater 4 2- As a function of the initial concentration of the compound,
Figure 806756DEST_PATH_IMAGE034
note as known SO 4 2- An initial concentration function;
boundary conditions: setting known flow boundary and pressure boundary according to hydrogeological conditions, setting source and sink terms and S according to the rainstorm intensity of mining area and the information of peripheral riversO 4 2- Concentration boundary, the boundary conditions are:
Figure 447953DEST_PATH_IMAGE036
Figure 337412DEST_PATH_IMAGE038
Figure 75561DEST_PATH_IMAGE040
Figure 861114DEST_PATH_IMAGE042
Figure 51924DEST_PATH_IMAGE044
Figure 745073DEST_PATH_IMAGE046
Figure 508368DEST_PATH_IMAGE048
Figure 58298DEST_PATH_IMAGE050
in the formula:
Figure 939666DEST_PATH_IMAGE052
record as SO in groundwater 4 2- The concentration of (d);
Figure 170927DEST_PATH_IMAGE054
is recorded as the actual average flow velocity of the groundwater,
Figure 821351DEST_PATH_IMAGE056
is marked as SO 4 2- Is saturated withThe degree of the magnetic field is measured,
Figure 479866DEST_PATH_IMAGE058
record as SO in groundwater 4 2- N is expressed as the normal direction of the boundary,
Figure 645268DEST_PATH_IMAGE060
noted as a known pressure distribution function on the upper boundary,
Figure 414641DEST_PATH_IMAGE062
the known pressure function noted as the left boundary,
Figure 185151DEST_PATH_IMAGE064
the known pressure function noted as the right boundary,
Figure 811304DEST_PATH_IMAGE066
is denoted as upper boundary SO 4 2- Is determined by the known concentration function of (a),
Figure 667265DEST_PATH_IMAGE068
SO marked as left boundary 4 2- With the knowledge of the function of the concentration,
Figure 762301DEST_PATH_IMAGE066
SO marked as right boundary 4 2- A known concentration function;
step length of time: setting a numerical simulation calculation time step length T according to the sampling time interval of the sampling well, and selecting calculation moments T =10T,11T,12T,13T and 14T which need to be subjected to simulation calculation;
and (3) performing numerical simulation calculation of partial differential equation of multiphase flow: establishing a multiphase flow partial differential equation according to a mass conservation law, wherein the multiphase flow partial differential equation is as follows:
Figure 121738DEST_PATH_IMAGE070
Figure 387635DEST_PATH_IMAGE072
in the formula: s is the type of the constituent, s =1 is the water, and s =2 is the SO 4 2-
Figure 262050DEST_PATH_IMAGE074
Is recorded as studying the porosity of the formation in the simulated zone,
Figure 904384DEST_PATH_IMAGE076
record as SO in groundwater 4 2- (ii) the total concentration of (a) in (b),
Figure 118327DEST_PATH_IMAGE078
as a result of the density of the constituent materials,
Figure 351863DEST_PATH_IMAGE052
record as SO in groundwater 4 2- The concentration of (a) in (b),
Figure 916836DEST_PATH_IMAGE080
record as SO in groundwater 4 2- The degree of saturation of (a) is,
Figure 97282DEST_PATH_IMAGE058
record as SO in groundwater 4 2- Diffusion coefficient tensor of (a);
Figure 165732DEST_PATH_IMAGE082
Figure 271966DEST_PATH_IMAGE072
in the formula: d is denoted as SO 4 2- The coefficient of molecular diffusion in groundwater,
Figure 120973DEST_PATH_IMAGE084
in the form of the distortion coefficient of the formation,
Figure 839530DEST_PATH_IMAGE086
is marked as the function of the kronecker,
Figure 28066DEST_PATH_IMAGE088
and
Figure 806666DEST_PATH_IMAGE090
are respectively marked as SO 4 2- Transverse and longitudinal dispersivity in groundwater,
Figure 142970DEST_PATH_IMAGE092
is marked as SO 4 2- The speed of the seepage of (a) is,
Figure 665218DEST_PATH_IMAGE094
and
Figure 708260DEST_PATH_IMAGE096
respectively represent SO 4 2- The percolation partial velocity in the i direction and in the j direction;
Figure 657762DEST_PATH_IMAGE098
Figure 215782DEST_PATH_IMAGE072
in the formula:
Figure 541721DEST_PATH_IMAGE100
is marked as SO 4 2- The relative permeability of the porous material to the porous material,
Figure 203385DEST_PATH_IMAGE102
is marked as SO 4 2- The inherent permeability of (a) to (b),
Figure 58208DEST_PATH_IMAGE104
and is recorded as the viscosity of the groundwater,
Figure 572366DEST_PATH_IMAGE106
is recorded as the pressure of the groundwaterThe force, g, is recorded as the acceleration of gravity,
Figure 233155DEST_PATH_IMAGE108
is recorded as the density of the groundwater.
The numerical inversion tracking module is connected with a display screen, the display screen is used for displaying numerical simulation calculation results, displaying the calculation results on a three-dimensional map of a mining area, calibrating three-dimensional coordinates of a string layer polluted well with highest credibility and displaying SO at the position 4 2- The concentration of (c).
The result of numerical value calculation can be displayed on the display screen through the setting of the display screen, and the position of the string layer polluted well is specifically displayed by combining a three-dimensional map on the display screen, so that researchers can conveniently analyze the position of the string layer polluted well and discuss the plugging mode and the dosing metering, and the underground water pollution can be effectively prevented and treated.
The pollution evaluation module evaluates the reliability of the calculation result of the numerical inversion tracking module, and the reliability calculation formula is as follows:
Figure 250789DEST_PATH_IMAGE110
in the formula:
Figure 542093DEST_PATH_IMAGE112
is recorded as the reliability of the data,
Figure 543547DEST_PATH_IMAGE114
is recorded as SO obtained by numerical calculation 4 2- The concentration of the active ingredients in the mixture is,
Figure 945710DEST_PATH_IMAGE116
record as the actual SO sampled 4 2- And (4) concentration.
The result of numerical calculation can be judged through the setting of the credibility formula, and then the stratum contamination well treatment can be implemented to the calculation coordinate with the credibility meeting the requirement, so that the waste of plugging materials and the thrown medicament caused by inaccurate calculation result of numerical simulation is avoided.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims (5)

1. An assessment system for groundwater pollution comprises a data acquisition module, a numerical inversion tracking module and a pollution assessment module, and is characterized in that the data acquisition module is used for transmitting geological and hydrogeological conditions of a research mining area and groundwater monitoring data of a sampling well to the numerical inversion tracking module, the numerical inversion tracking module sets the hydrogeological conditions, calculates flow field boundaries and known boundary conditions according to acquired data information, and establishes a multiphase flow numerical simulation model, and the numerical inversion tracking module is connected with the pollution assessment module; the numerical modeling information of the numerical inversion tracking module comprises:
initial conditions: initial pressure distribution, initial SO including simulation zone 4 2- And an aqueous phase and an initial SO 4 2- The initial conditions are as follows:
Figure DEST_PATH_IMAGE002
Figure DEST_PATH_IMAGE004
Figure DEST_PATH_IMAGE006
in the formula:
Figure DEST_PATH_IMAGE008
noted as the initial pressure distribution function of the simulated zone,
Figure DEST_PATH_IMAGE010
noting a known pressure function;
Figure DEST_PATH_IMAGE012
is recorded as the initial saturation of the groundwater,
Figure DEST_PATH_IMAGE014
recording as a known groundwater saturation function;
Figure DEST_PATH_IMAGE016
record as SO in groundwater 4 2- As a function of the initial concentration of the compound,
Figure DEST_PATH_IMAGE018
note as known SO 4 2- An initial concentration function;
boundary conditions: setting known flow boundary and pressure boundary according to hydrogeological conditions, setting source and sink terms and SO according to the rainstorm intensity of mining area and the information of peripheral rivers 4 2- Concentration boundary, boundary conditions are as follows:
Figure DEST_PATH_IMAGE020
Figure DEST_PATH_IMAGE022
Figure DEST_PATH_IMAGE024
Figure DEST_PATH_IMAGE026
Figure DEST_PATH_IMAGE028
Figure DEST_PATH_IMAGE030
Figure DEST_PATH_IMAGE032
Figure DEST_PATH_IMAGE034
in the formula:
Figure DEST_PATH_IMAGE036
record as SO in groundwater 4 2- The concentration of (c);
Figure DEST_PATH_IMAGE038
is recorded as the actual average flow velocity of the groundwater,
Figure DEST_PATH_IMAGE040
is marked as SO 4 2- The degree of saturation of (a) is,
Figure DEST_PATH_IMAGE042
record as SO in groundwater 4 2- N is expressed as the normal direction of the boundary,
Figure DEST_PATH_IMAGE044
noted as a known pressure distribution function on the upper boundary,
Figure DEST_PATH_IMAGE046
the known pressure function noted as the left boundary,
Figure DEST_PATH_IMAGE048
noted as the known function of pressure at the right boundary,
Figure DEST_PATH_IMAGE050
is denoted as upper boundary SO 4 2- Is determined by the known concentration function of (a),
Figure DEST_PATH_IMAGE052
SO marked as left boundary 4 2- With the knowledge of the function of the concentration,
Figure DEST_PATH_IMAGE054
SO marked as right boundary 4 2- A known concentration function;
time step length: setting a numerical simulation calculation time step length T according to the sampling time interval of the sampling well, and selecting calculation moments T =10T,11T,12T,13T and 14T which need to be subjected to simulation calculation;
and (3) performing numerical simulation calculation of partial differential equation of multiphase flow: establishing a multiphase flow partial differential equation according to the mass conservation law, wherein the multiphase flow partial differential equation is as follows:
Figure DEST_PATH_IMAGE056
Figure DEST_PATH_IMAGE058
in the formula: s is the type of the constituent, s =1 is the water, and s =2 is the SO 4 2-
Figure DEST_PATH_IMAGE060
Is recorded as the porosity of the stratum in the research simulation area,
Figure DEST_PATH_IMAGE062
record as SO in groundwater 4 2- (ii) the total concentration of (a) in (b),
Figure DEST_PATH_IMAGE064
as a result of the density of the constituent materials,
Figure 21298DEST_PATH_IMAGE036
record as SO in groundwater 4 2- The concentration of (a) in (b),
Figure DEST_PATH_IMAGE066
record as SO in groundwater 4 2- The degree of saturation of (a) is,
Figure 755DEST_PATH_IMAGE042
record as SO in groundwater 4 2- Diffusion coefficient tensor of (a);
Figure DEST_PATH_IMAGE068
Figure 845739DEST_PATH_IMAGE058
in the formula: d is denoted as SO 4 2- The coefficient of molecular diffusion in groundwater,
Figure DEST_PATH_IMAGE070
in the form of the distortion coefficient of the formation,
Figure DEST_PATH_IMAGE072
is marked as the function of the kronecker,
Figure DEST_PATH_IMAGE074
and
Figure DEST_PATH_IMAGE076
are respectively marked as SO 4 2- Transverse and longitudinal dispersivity in groundwater,
Figure DEST_PATH_IMAGE078
is marked as SO 4 2- The speed of the seepage of (a) is,
Figure DEST_PATH_IMAGE080
and
Figure DEST_PATH_IMAGE082
respectively represent SO 4 2- The percolation partial velocity in the i direction and in the j direction;
Figure DEST_PATH_IMAGE084
Figure 349270DEST_PATH_IMAGE058
in the formula:
Figure DEST_PATH_IMAGE086
is marked as SO 4 2- The relative permeability of the porous material to the porous material,
Figure DEST_PATH_IMAGE088
is recorded as SO 4 2- The intrinsic permeability of the membrane is such that,
Figure DEST_PATH_IMAGE090
in the notation of the viscosity of the groundwater,
Figure DEST_PATH_IMAGE092
recording as the pressure of the groundwater, g as the acceleration of gravity,
Figure DEST_PATH_IMAGE094
and is recorded as the density of the groundwater.
2. An evaluation system for groundwater contamination according to claim 1, wherein: the mining area geological condition, hydrogeological condition and groundwater sampling well real-time monitoring data collected by the data collection module comprise:
three-dimensional zone boundaries of the actual research site: the method is used for defining a three-dimensional calculation area of a numerical simulation calculation flow field, setting a calculated space step length L according to the actual field size, and dividing the actual research field size into
Figure DEST_PATH_IMAGE096
In the formula, aL, bL and cL are recorded as the length, width and depth of an actual research site, and a coordinate set in a calculation area is recorded as
Figure DEST_PATH_IMAGE098
And (3) the stratum properties and classification of the mining area to be evaluated: the device is used for setting numerical values to calculate the type of the diving aquifer and setting the property and the parameter of the diving aquifer according to most of the types of the diving aquifers;
surface type: setting the upper boundary of the numerical simulation calculation as a water exchange boundary according to the field openness and rainwater infiltration characteristics
Figure DEST_PATH_IMAGE100
Boundary formation properties of bottom groundwater: the bottom boundary property and parameter used for setting the numerical simulation calculation area are set as the zero flux boundary according to the characteristics of the bottom micro-penetration
Figure DEST_PATH_IMAGE102
And (3) researching underground water flow and water pressure information around the mining area: setting the types and parameters of the upper boundary, the lower boundary, the left boundary and the right boundary of the calculation area, setting the upper boundary and the lower boundary of the simulation area to be watertight zero-flux boundaries, and respectively recording the upper boundary and the lower boundary as water-impervious zero-flux boundaries
Figure DEST_PATH_IMAGE104
And
Figure DEST_PATH_IMAGE106
the left and right boundaries are set as boundaries of known pressure and are noted as the left and right boundaries, respectively
Figure DEST_PATH_IMAGE108
And
Figure DEST_PATH_IMAGE110
setting the sampling time interval of the monitoring data: as a basis for dividing monitoring time of numerical simulation calculation;
sampling well information: the numerical simulation system is used for numbering the sampling wells in numerical simulation calculation and carrying out numerical calculation;
SO in sampling well water quality information 4 2- Concentration: from the desired position SO of the pollution source by means of sampling 4 2- Extracting 300 groups of data from the concentration range, substituting the data into the multiphase flow numerical simulation model, inverting the model, and taking 100 groups of close sampling wells SO 4 2- And (4) checking the data of the concentration, and performing statistical calculation on the data with the accuracy reaching the preset requirement.
3. An evaluation system for groundwater contamination according to claim 1, wherein: the numerical inversion tracking module is provided with a display screen, the display screen is used for displaying numerical simulation calculation results and displaying the calculation results on a three-dimensional map of a mining area, calibrating three-dimensional coordinates of a string layer polluted well with highest credibility and displaying SO at the position 4 2- The concentration of (c).
4. An evaluation system for groundwater contamination according to claim 1, wherein: the pollution evaluation module evaluates the reliability of the calculation result of the numerical inversion tracking module, and the reliability calculation formula is as follows:
Figure DEST_PATH_IMAGE112
in the formula:
Figure DEST_PATH_IMAGE114
the data is recorded as the reliability of the data,
Figure DEST_PATH_IMAGE116
is recorded as SO obtained by numerical calculation 4 2- The concentration of the active ingredients in the mixture is,
Figure DEST_PATH_IMAGE118
record as the actual SO sampled 4 2- And (4) concentration.
5. An evaluation system for groundwater contamination according to claim 1, wherein: the method for tracking the underground water pollution source of the closed-pit coal mine area by the underground water pollution evaluation system through numerical simulation technology is as follows:
the method comprises the following steps: the data acquisition module acquires the underground water quality and water level information of the sampling well, the geological conditions and hydrogeological conditions of the mining area and the range of the series layer polluted well, and transmits the data to the numerical inversion tracking module;
step two: the numerical inversion tracking module carries out grid division on a researched area, locally encrypts the area in the range of the series layer contaminated well, and is based on SO according to data provided by the data acquisition module 4 2- The method comprises the steps of (1) establishing a multiphase flow numerical simulation model by diffusion, setting numerical simulation initial conditions and boundary conditions according to data provided by a data acquisition module, defining the range of a series layer polluted well, and solving the three-dimensional coordinates of a pollution source;
step three: obtaining three-dimensional coordinates according to a numerical simulation technology, punching and sampling at the coordinate position, and verifying SO in the groundwater sample at the position of the pollution source 4 2- Whether the concentration of (a) is close to the calculated concentration obtained by numerical simulation calculation;
step four: carrying out numerical simulation on different string layer polluted wells by adopting the same method, and collecting numerical simulation results and sampling results;
step five: analyzing the reliability of the calculation result of the numerical simulation, and calculating to obtain SO by using the numerical simulation 4 2- Concentration minus actual SO in the sampled groundwater 4 2- Absolute value of concentration, divided by SO in the actual sampled groundwater 4 2- The obtained percentage is used as the basis of credibility evaluation, the obtained percentage value which is more than 80 percent is recorded as a credible sample group, and the stratum polluted well corresponding to the credible sample group is effectively plugged or a medicament is put in for treatment.
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