CN114330077A - GMS-based method for predicting groundwater inflow of strip mine - Google Patents
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Abstract
The invention provides a GMS-based method for predicting groundwater inflow of an open pit mine, and relates to the technical field of mine hydrogeology. And (3) carrying out numerical simulation on the underground water flow motion of the research area by using underground water numerical simulation software GMS, and carrying out prediction analysis on the mine water inflow in the simulation area. On the basis of analyzing geological and hydrogeological conditions of a mining area and peripheral areas thereof, the aquifer of a simulation area is generalized and boundary conditions of a research area are set by analyzing conditions such as hydrogeological characteristics and the like of the aquifer of the area according to the characteristics of strata lithology and geological structure. And according to the boundary conditions, establishing a hydrogeological model of the research area by adopting a grid method according to the established mathematical model and in combination with geological exploration data of the working area and analysis of water filling factors. The arrangement scheme of the drainage wells in the balanced state is simulated by continuously adjusting the setting conditions of the horizontal well and the vertical well under different drainage quantity conditions. And a hydrogeology drainage scheme of a research area is formulated, and the safe production of the mine pit is ensured.
Description
Technical Field
The invention belongs to the technical field of mine hydrogeology, and particularly relates to a prediction method of groundwater inflow of an open pit mine based on GMS.
Background
Groundwater is a very troublesome problem in the production of strip mines. Groundwater is the key constitution of water resource storage of the world, can satisfy the construction demand of mill and the water demand of life, but the volume of gushing water of mining area can bring very big influence to the safety of mining area, and the change is very big moreover. Therefore, accurate water inflow prediction has important significance on construction safety and economic benefits.
At present, with the development of scientific technology and the rise of electronic information industry, research on underground water simulation software in the world is more specialized, and the GMS software is graphical interface software established on the basis of existing underground water models such as comprehensive Visual MODFLOW, MT3DMS, PEST, MODPATH, FMWATER, AQUA3D and the like. The working principle of the MODFLOW calculation module of the GMS software is to simulate the sequence of underground water movement on the basis of grid division and by using a finite difference method. Firstly, discrete processing of time and space dimensions is carried out on a selected research area, then water flow equation analysis and derivation are carried out on divided grids independently, all equations are integrated to carry out simultaneous derivation on an equation set of the whole research area, then a water level value of each independent grid is calculated through an iterative solution method, and the solution of the equation set is solved through the steps.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a prediction method of groundwater inflow of a strip mine based on GMS, which predicts the groundwater inflow of a mining area by using a software program GMS applied to the mathematical simulation of groundwater flow and then provides guarantee for the safe production of the mining area.
A prediction method of groundwater inflow of an open pit mine based on GMS comprises the following steps:
the hydrogeological conditions of the strip mine comprise landform, flow-through river and meteorological characteristics of a strip mine area; the meteorological characteristics comprise a main body wind direction, a temperature, an air pressure, a wind flow rate, rainfall, a source of exposed groundwater, distribution of aquifers, topography of a alluvial layer and a water flow trend, types of bedrock aquifers and groundwater supply and discharge conditions;
carrying out field survey on the open pit, drawing a hydrological distribution diagram of each pump station of the open pit, collecting and counting the fluctuation condition of the water inflow of each pump station over the years, establishing a table, carrying out independent drawing analysis on each pump station, obtaining the change trend of the water inflow of each pump station along with the month and a comparison image of the water inflow of each pump station over the last n years, and obtaining the water inflow change over the last n years according to the image;
determining a simulation area range for research modeling on the basis of the hydrogeological conditions of the strip mine obtained in the step 1 and the water inflow change of each pump station in the step 2; simulating an underground water numerical model of a research area by subdividing a simulation area, processing a source and sink item, determining a permeability coefficient K, a water supply coefficient mu value and a rainfall infiltration parameter alpha, carrying out generalization processing on boundary conditions and identifying and verifying an underground water flow model; adjusting and checking the model according to the actual condition of the boundary condition;
step 4, carrying out prediction analysis on the water inflow amount of the mine; the method comprises the steps of continuously adjusting selection of mine geographic positions, quantity limitation and drainage quantity limitation in a mode of inserting a horizontal well and a vertical well in a simulation area, carrying out predictive analysis on the limited conditions through an MODFLOW module of GMS software to obtain a water inflow model, and making a hydrogeological drainage scheme of a research area by combining aquifer exploitation quantity, horizontal well drainage quantity and vertical well drainage quantity to ensure safe production of the mine pit.
Adopt the produced beneficial effect of above-mentioned technical scheme to lie in:
the invention provides a GMS-based method for predicting groundwater inflow of an open pit mine. The invention fills the blank of forecasting the water inflow of the west opencast mine, and people utilize GMS software to model and forecast and analyze the water inflow of a plurality of mines, but the west opencast mine is extremely difficult to simulate underground water due to the uniqueness and complexity of the west opencast mine.
Drawings
FIG. 1 is a flow chart of the water inflow prediction method of the present invention.
FIG. 2 is a typical cross-sectional view of the south upper of a pit of a strip mine of an embodiment of the present invention-E1200 water level;
FIG. 3 is a typical cross-sectional view of the north side of a pit of an open pit of the embodiment of the present invention-E1200 water level.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
A prediction method of groundwater inflow of an open pit mine based on GMS (Gaussian filtered minimum mean Square), as shown in figure 1, comprises the following steps:
the hydrogeological conditions of the strip mine comprise landform, flow-through river and meteorological characteristics of a strip mine area;
the meteorological characteristics comprise a main body wind direction, a temperature, an air pressure, a wind flow rate, rainfall, a source of exposed groundwater, distribution of aquifers, topography of a alluvial layer and a water flow trend, types of bedrock aquifers and groundwater supply and discharge conditions;
carrying out field survey on the open pit, drawing a hydrological distribution diagram of each pump station of the open pit, collecting and counting the fluctuation condition of the water inflow of each pump station over the years, establishing a table, carrying out independent drawing analysis on each pump station, obtaining the change trend of the water inflow of each pump station along with the month and a comparison image of the water inflow of each pump station over the last n years, and obtaining the water inflow change over the last n years according to the image;
in this embodiment, a water inflow situation table of a certain pump station 2016-:
TABLE 1 statistical table of water inflow situation of certain pump station in 3 years
As can be seen from the table, the water inflow statistics of a certain pump station is divided into two parts, namely an oil plant and a river weir. Over the last three years, the annual water discharge of a certain pumping station-a oil plant is on the rise, wherein the water discharge in 7-9 months is relatively high, and the water discharge in 10-12 months is greatly increased every year. And the annual water discharge of the river weir b is in a descending trend, wherein the water discharge in 8-10 months is relatively high, the fluctuation of the monthly water discharge in 2016 and 2017 is large, and the monthly water discharge in 2018 tends to be stable.
determining a simulation area range for research modeling on the basis of the hydrogeological conditions of the strip mine obtained in the step 1 and the water inflow change of each pump station in the step 2; simulating an underground water numerical model of a research area by subdividing a simulation area, processing a source and sink item, determining a permeability coefficient K, a water supply coefficient mu value and a rainfall infiltration parameter alpha, carrying out generalization processing on boundary conditions and identifying and verifying an underground water flow model; the model is adjusted and checked according to the actual condition of the boundary condition, so that the model is more practical;
in this example, as shown in figure 2, the pit mining area is in the south of the strip mine, and the groundwater flow is primarily bedrock fracture water and fourth series of apertures submerged according to the characteristics. Because of the effects of pit drainage, the location of the fourth series of pore dives in the formation is generally above, and the location of bedrock fracture water is below.
As shown in fig. 3, the north slope scouring layer has a wide range of artificially-made piled materials, and has a large penetrability to water flow, and water can permeate into a deep stratum through the artificially-made piled materials. The development of industry and the domestic drainage of residents are also carried to the underground. The Beibang bedrock is respectively cut by two deep and large fracture zones, and the fracture zone has particularly good water blocking effect because the interlayer material of the Beibang bedrock is the angle sand gravel rock.
Step 4, carrying out prediction analysis on the water inflow amount of the mine; the method comprises the steps of continuously adjusting selection of mine geographic positions, quantity limitation and drainage quantity limitation in a mode of inserting a horizontal well and a vertical well in a simulation area, carrying out predictive analysis on the limited conditions through an MODFLOW module of GMS software to obtain a water inflow model, and making a hydrogeological drainage scheme of a research area by combining aquifer exploitation quantity, horizontal well drainage quantity and vertical well drainage quantity to ensure safe production of the mine pit.
The theoretical basis in this embodiment is darcy's law (Darvy's law) commonly used in the research process of groundwater, which is a law for explaining the linear relationship between two parameters, namely the flow velocity of water infiltrating in soil in a saturated state and the hydraulic slope drop, and is also called linear seepage flow law.
The water flow movement mode in the simulation area comprises a horizontal direction and a vertical direction, and each movement coefficient of underground water flow continuously changes along with the migration of space and time, so that the movement mode of underground water in the simulation area can be summarized into three-dimensional unstable water flow movement, and according to the related theory of water flow seepage and Darcy's law, the simulation area can be obtained to accord with the following model:
wherein h is the groundwater head (m); permeability coefficients in the Kx, Ky, Kz-x, y, z directions (m/d); h is1-boundary waterheads (m) of the aquifer of the first type; W-Source and sink Strength (including mining Strength, etc.) (m)3/d)；Σ1-an aquifer first-type boundary; d-the region of interest; mu-coefficient of water supply.
The characteristics of the hydrogeological environment of simulation region and the main characteristics that groundwater flows, research region can divide into 7 layers in the vertical direction: a fourth system sand gravel diving water-bearing stratum, a saddletree gneiss fracture water-bearing stratum and a third system bedrock fracture water-bearing stratum: including green shale aquifers, kerogen shale layers, coal seams, basalt layers, and substrates. -
The simulation of pit drainage includes the following aspects:
(1) production of fourth series sand gravel aquifer of north wall
The fourth series of sand gravel aquifer is a thinner layer at the upper part of the granite layer, and the exploitation amount of a near well near the northern slope muddy river in a simulation area between E600 and E1000 intercepted by the simulation of the embodiment is about 1500m3And d, underground water near the pit is supplied by the intercepted muddy river, so that the water burst risk of the pit is avoided.
(2) Horizontal well displacement in mine pit
This model carries out the analog analysis through the mode that sets up the drainage well, arranges 5 horizontal wells respectively in pit north and south both sides, through the principle of evenly arranging, constantly adjusts the trial calculation to the displacement of setting up the model, reaches ideal state when the pit no longer has water to spill over, and the number, the position of the corresponding drainage well and displacement this moment are the simulation result promptly.
The horizontal well is a key facility for dredging water flow, in order to make the process of simulation calculation clearer, the depth and the length of the horizontal well are consistent, the depth is-100 m, the length is 100m, and the water discharge is set to be 10-20m3/d。
The specific layout is shown in the following table:
TABLE 2 horizontal well layout position and production volume
As can be seen from the table, when 10 horizontal wells are used, the simulated water discharge per well is 10-20m per day3In the process, the mine pit can not overflow water, and the total water discharge amount is about 100-200m3/d。
(3) Pit bottom shaft displacement
In the model of the embodiment, 4 vertical wells are arranged at the lowest position of a mine pit at intervals of 100 meters, the well depth of each well is 70-100m, and the water pumping amount is 20m3D, pumping water for 80m in total for four wells in one day3。
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (7)
1. A prediction method of groundwater inflow of an open pit mine based on GMS is characterized by comprising the following steps:
step 1, determining hydrogeological conditions of the strip mine according to hydrogeological research data of the strip mine;
step 2, carrying out statistical analysis on the water inflow of each pump station of the strip mine;
step 3, selecting an independent simulation area range in the open pit, and simulating the movement order of underground water by using underground water simulation software;
and 4, performing predictive analysis on the water inflow amount of the mine, and making a hydrogeological drainage scheme of the research area.
2. The GMS-based method for predicting groundwater inflow of a strip mine according to claim 1, wherein the hydrogeological conditions of the strip mine in the step 1 comprise landform, flow-through river and meteorological features of a strip mine area; the meteorological features comprise the main body wind direction, temperature, air pressure, wind flow speed, rainfall, source of exposed groundwater, distribution of aquifers, topography of alluvial layer and water flow trend, types of bedrock aquifers and groundwater supply, jing and drainage conditions.
3. The GMS-based method for predicting the groundwater inflow of the open pit mine according to claim 1, wherein the step 2 is specifically to survey the open pit mine on the spot, draw a hydrological distribution map of each pump station of the open pit mine, collect and count the floating condition of the inflow of each pump station in the past year, establish a table, conduct independent drawing analysis on each pump station, obtain the variation trend of the inflow of each pump station along with the month and a comparison image of the inflow of each pump station in the last n years, and obtain the variation of the inflow in the last n years according to the image.
4. The GMS-based method for predicting the groundwater inflow of the strip mine according to claim 1, wherein the step 3 is to determine a simulation area range for research modeling on the basis of the hydrogeological conditions of the strip mine obtained in the step 1 and the variation of the water inflow of each pump station in the step 2; simulating an underground water numerical model of a research area by subdividing a simulation area, processing a source and sink item, determining a permeability coefficient K, a water supply coefficient mu value and a rainfall infiltration parameter alpha, carrying out generalization processing on boundary conditions and identifying and verifying an underground water flow model; and adjusting and checking the model according to the actual situation of the boundary condition.
5. The GMS-based method for predicting groundwater inflow of a strip mine according to claim 1, wherein the groundwater simulation software in the step 3 is GMS.
6. The GMS-based strip mine groundwater inflow prediction method according to claim 1, wherein the step 4 is specifically that limiting conditions are continuously adjusted in a mode that horizontal wells and vertical wells are inserted in a simulation area, prediction analysis is performed on the limiting conditions through groundwater simulation software to obtain a water inflow model, and a hydrogeological drainage scheme of a research area is formulated by combining aquifer exploitation amount, horizontal well drainage amount and vertical well drainage amount to ensure safe production of mine pits.
7. The GMS-based method for predicting groundwater inflow of a strip mine according to claim 6, wherein the limiting conditions include selection of geographical locations of the mine, limitation of quantity, and limitation of size of water displacement.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117726045A (en) * | 2024-02-07 | 2024-03-19 | 山东大学 | Water inflow prediction method and system based on hydrological field inversion along tunnel |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103226732A (en) * | 2013-03-21 | 2013-07-31 | 中南大学 | GMS (groundwater modeling system)-based forecast method for ground water seepage fields at different mining levels of mining area |
Non-Patent Citations (2)
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| 张志强;刘超飞;张希雨;: "基于Visual Modflow方法的某矿井涌水量预测研究", 地下水, no. 01, 25 January 2018 (2018-01-25) * |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117726045A (en) * | 2024-02-07 | 2024-03-19 | 山东大学 | Water inflow prediction method and system based on hydrological field inversion along tunnel |
| CN117726045B (en) * | 2024-02-07 | 2024-05-10 | 山东大学 | Water inflow prediction method and system based on hydrological field inversion along tunnel |
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