CN113901547A - Karst area tunnel water inrush early warning method and system, electronic device and medium - Google Patents
Karst area tunnel water inrush early warning method and system, electronic device and medium Download PDFInfo
- Publication number
- CN113901547A CN113901547A CN202111151807.1A CN202111151807A CN113901547A CN 113901547 A CN113901547 A CN 113901547A CN 202111151807 A CN202111151807 A CN 202111151807A CN 113901547 A CN113901547 A CN 113901547A
- Authority
- CN
- China
- Prior art keywords
- data
- karst
- tunnel
- water
- correlation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 396
- 238000000034 method Methods 0.000 title claims abstract description 64
- 238000001556 precipitation Methods 0.000 claims abstract description 99
- 238000005553 drilling Methods 0.000 claims abstract description 84
- 238000010276 construction Methods 0.000 claims abstract description 30
- 238000012544 monitoring process Methods 0.000 claims description 29
- 238000011161 development Methods 0.000 claims description 17
- 230000008569 process Effects 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 2
- 230000008859 change Effects 0.000 description 7
- 230000009471 action Effects 0.000 description 4
- 238000013461 design Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000011835 investigation Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000001419 dependent effect Effects 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- 238000012806 monitoring device Methods 0.000 description 2
- 239000011435 rock Substances 0.000 description 2
- 150000004649 carbonic acid derivatives Chemical class 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003628 erosive effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 239000003673 groundwater Substances 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035772 mutation Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000002285 radioactive effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- Theoretical Computer Science (AREA)
- Civil Engineering (AREA)
- Structural Engineering (AREA)
- Computational Mathematics (AREA)
- Architecture (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Alarm Systems (AREA)
Abstract
The disclosure relates to a karst region tunnel water inrush early warning method, a system, an electronic device and a medium; wherein, the method comprises the following steps: acquiring karst spring water flow data, drilling water level data and tunnel water inflow data during construction of a target line region corresponding to a tunnel in a karst region; acquiring precipitation data of a tunnel in a karst area, and determining a correlation among karst spring water flow data, drilling water level data, tunnel water inflow data and precipitation data, wherein the correlation comprises a positive correlation and a negative correlation; and carrying out karst region tunnel water inrush early warning according to the size relation and the correlation of the target data and the corresponding preset range, wherein the target data comprise karst spring water flow data, drilling water level data, tunnel water inflow data and precipitation data. The embodiment of the disclosure can perform water inrush early warning on the tunnel in the karst area, guarantee construction safety and avoid disaster caused by water inrush of karst.
Description
Technical Field
The disclosure relates to the technical field of engineering investigation and design, in particular to a karst region tunnel water inrush early warning method, a system, electronic equipment and a medium.
Background
With the development of science and technology, the construction schedule of important basic engineering such as traffic engineering, water conservancy and hydropower engineering and the like is continuously increased, and the construction of tunnel engineering is greatly promoted. When tunnel engineering passes through a karst address section, the tunnel engineering has the characteristics of great harm and difficult prevention, and is a difficult problem to be solved in the construction process of the tunnel engineering at present.
The existing karst research is weak in foundation, the early warning of water inrush of tunnels in karst areas is usually realized through manual site investigation, then investigation data obtained through the site investigation is researched and processed, and finally an evaluation result is obtained and fed back to relevant departments. However, the karst area is rapid from water instability to collapse, manual monitoring reaction is slow, data acquisition is not real-time, karst water disasters cannot be effectively prevented under most conditions, and therefore tragedies of karst water inrush disasters occur sometimes, and serious loss is caused to lives and properties.
Disclosure of Invention
In order to solve the technical problems described above or at least partially solve the technical problems described above, the present disclosure provides a karst region tunnel water inrush warning method, system, electronic device, and medium.
In a first aspect, the present disclosure provides a karst area tunnel water inrush early warning method, including:
acquiring karst spring water flow data, drilling water level data and tunnel water inflow data during construction of a target line region corresponding to a tunnel in a karst region;
acquiring precipitation data of the tunnel in the karst area, and determining a correlation among the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data, wherein the correlation comprises a positive correlation and a negative correlation;
and carrying out karst region tunnel water inrush early warning according to the size relation between target data and a corresponding preset range and the correlation relation, wherein the target data comprise karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data.
Optionally, the obtaining of the karst spring water flow data of the target line region corresponding to the karst region tunnel includes:
acquiring relevant data of a target line area corresponding to a tunnel of a karst area;
and determining the position of the karst spring water according to the content of the related data, and monitoring the flow of the karst spring water through flow monitoring equipment arranged around the position of the karst spring water to obtain the water flow data of the karst spring water.
Optionally, obtaining drilling water level data of a target line region corresponding to the tunnel in the karst region includes:
determining the elevation and the trend of a target line according to the position of the karst spring water and the karst spring water flow data, and performing ground geophysical prospecting according to the elevation and the trend of the target line to obtain corresponding geophysical prospecting data;
interpreting the geophysical prospecting data to obtain a geophysical prospecting interpretation result;
drilling at a geophysical prospecting high resistance position and a geophysical prospecting low resistance position corresponding to the geophysical prospecting interpretation result respectively to obtain corresponding drill holes;
and monitoring the water level of the drilled hole through water level monitoring equipment arranged around the drilled hole to obtain corresponding water level data of the drilled hole.
Optionally, the acquiring precipitation data of the karst region tunnel, and determining a correlation between the karst spring water flow data, the drilling water level data, the tunnel water inflow data, and the precipitation data includes:
acquiring precipitation data of the karst area tunnel;
analyzing data sequences respectively corresponding to the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data to obtain analysis results;
according to the analysis result, respectively determining a first correlation relationship between the karst spring water flow data and the precipitation data, a second correlation relationship between the drilling water level data and the precipitation data and a third correlation relationship between the tunnel water inflow data and the precipitation data;
and determining the correlation among the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data according to the first correlation, the second correlation and the third correlation.
Optionally, the performing karst area tunnel water inrush early warning according to the size relationship between the target data and the corresponding preset range and the correlation relationship includes:
determining preset ranges corresponding to the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data respectively according to the correlation;
determining whether at least one type of data included in the target data exceeds a corresponding preset range;
and if so, carrying out water inrush early warning on the tunnel in the karst area.
Optionally, the method further includes:
and if all the data included in the target data do not exceed the corresponding preset range, determining that the karst region tunnel has no water inrush risk.
Optionally, the target line region corresponding to the karst region tunnel is determined by the following method:
acquiring the development degree of karst, the height of a horizontal runoff zone and the height of a vertical seepage zone in the tunnel of the karst area in the surveying process;
and determining the position of a weak development zone or a vertical seepage zone of the karst as a target line area corresponding to the tunnel of the karst area according to the development degree of the karst, the elevation of the horizontal runoff zone and the elevation of the vertical seepage zone.
In a second aspect, the present disclosure provides a karst area tunnel water inrush early warning system, including:
the data acquisition module is used for acquiring karst spring water flow data, drilling water level data and tunnel water inflow data during construction of a target line region corresponding to a karst region tunnel;
the relation determining module is used for acquiring precipitation data of the karst area tunnel and determining a correlation among the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data, wherein the correlation comprises a positive correlation and a negative correlation;
and the early warning module is used for carrying out karst area tunnel water inrush early warning according to the size relation between the target data and the corresponding preset range and the correlation relation, wherein the target data comprise karst spring water flow data, drilling water level data, tunnel water inflow data and precipitation data.
Optionally, the data obtaining module includes:
the first data acquisition unit is used for acquiring karst spring water flow data of a target line region corresponding to the karst region tunnel;
the second data acquisition unit is used for acquiring drilling water level data of a target line region corresponding to the tunnel of the karst region;
and the third data acquisition unit is used for acquiring tunnel water inflow data in the construction period of a target line region corresponding to the tunnel in the karst region.
Optionally, the first data obtaining unit is specifically configured to:
acquiring relevant data of a target line area corresponding to a tunnel of a karst area;
and determining the position of the karst spring water according to the content of the related data, and monitoring the flow of the karst spring water through flow monitoring equipment arranged around the position of the karst spring water to obtain the water flow data of the karst spring water.
Optionally, the second data obtaining unit is specifically configured to:
determining the elevation and the trend of a target line according to the position of the karst spring water and the karst spring water flow data, and performing ground geophysical prospecting according to the elevation and the trend of the target line to obtain corresponding geophysical prospecting data;
interpreting the geophysical prospecting data to obtain a geophysical prospecting interpretation result;
drilling at a geophysical prospecting high resistance position and a geophysical prospecting low resistance position corresponding to the geophysical prospecting interpretation result respectively to obtain corresponding drill holes;
and monitoring the water level of the drilled hole through water level monitoring equipment arranged around the drilled hole to obtain corresponding water level data of the drilled hole.
Optionally, the relationship determining module is specifically configured to:
acquiring precipitation data of the karst area tunnel;
analyzing data sequences respectively corresponding to the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data to obtain analysis results;
according to the analysis result, respectively determining a first correlation relationship between the karst spring water flow data and the precipitation data, a second correlation relationship between the drilling water level data and the precipitation data and a third correlation relationship between the tunnel water inflow data and the precipitation data;
and determining the correlation among the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data according to the first correlation, the second correlation and the third correlation.
Optionally, the early warning module is specifically configured to:
determining preset ranges corresponding to the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data respectively according to the correlation;
determining whether at least one type of data included in the target data exceeds a corresponding preset range;
and if so, carrying out water inrush early warning on the tunnel in the karst area.
Optionally, the system further includes:
a risk-free determination module, specifically configured to: and if all the data included in the target data do not exceed the corresponding preset range, determining that the karst region tunnel has no water inrush risk.
Optionally, the target line region corresponding to the karst region tunnel is determined by the following method:
acquiring the development degree of karst, the height of a horizontal runoff zone and the height of a vertical seepage zone in the tunnel of the karst area in the surveying process;
and determining the position of a weak development zone or a vertical seepage zone of the karst as a target line area corresponding to the tunnel of the karst area according to the development degree of the karst, the elevation of the horizontal runoff zone and the elevation of the vertical seepage zone.
In a third aspect, the present disclosure also provides an electronic device, including:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement any of the karst region tunnel water inrush warning methods of the embodiments of the present disclosure.
In a fourth aspect, the present disclosure also provides a computer-readable storage medium, on which a computer program is stored, where the program, when executed by a processor, implements the karst region tunnel water inrush warning method in any one of the embodiments of the present disclosure.
The technical scheme provided by the embodiment of the disclosure includes that karst spring water flow data, drilling water level data and tunnel water inrush data during construction of a target line region corresponding to a karst region tunnel are obtained firstly, then precipitation data of the karst region tunnel are obtained, and correlation between the karst spring water flow data, the drilling water level data and the tunnel water inrush data and the precipitation data is determined, wherein the correlation comprises positive correlation and negative correlation, and finally water inrush early warning is performed on the karst region tunnel according to the size relationship and the correlation between the target data and a corresponding preset range, wherein the target data comprises the karst spring water flow data, the drilling water level data, the tunnel water inrush data and the precipitation data, so that water inrush early warning can be performed on the karst region tunnel in time, construction safety is guaranteed, and water inrush disaster caused by karst water inrush is avoided.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present disclosure, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flow chart of a karst region tunnel water inrush early warning method provided in an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a karst region tunnel water inrush early warning method provided in an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a karst region tunnel water inrush early warning system provided in an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure.
Detailed Description
In order that the above objects, features and advantages of the present disclosure may be more clearly understood, aspects of the present disclosure will be further described below. It should be noted that the embodiments and features of the embodiments of the present disclosure may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may be practiced in other ways than those described herein; it is to be understood that the embodiments disclosed in the specification are only a few embodiments of the present disclosure, and not all embodiments.
Fig. 1 is a schematic flow chart of a karst region tunnel water inrush early warning method provided in an embodiment of the present disclosure. This embodiment can be applicable to in the work progress, carries out the condition of gushing water early warning to karst district tunnel. The method can be executed by a karst region tunnel water burst early warning system, the system can be realized in a hardware/software mode, and the system can be configured in electronic equipment. As shown in fig. 1, the method specifically includes the following steps:
s110, acquiring karst spring water flow data, drilling water level data and tunnel water inflow data during construction of a target line region corresponding to the tunnel in the karst region.
Among these, the term "karst" is understood to mean the integration of phenomena caused by the action of water, particularly ground water, on rocks in the distribution of soluble rocks mainly comprising carbonates, mainly by erosion. A karst zone tunnel may be understood as a tunnel established in a karst segment. The target line area may be understood as an area where a construction route of the tunnel design is located. The karst spring water flow data can be understood as flow change data of the karst spring water in different time periods. Borehole water level data may be understood as water level variation data of the borehole over different periods of time that are retained during the survey. The tunnel water inflow data during construction can be understood as water inflow change data which are poured into the tunnel at different time intervals in the tunnel construction process.
In order to timely carry out water inrush early warning on the karst area tunnel, various data related to the water inrush risk of the karst area tunnel need to be acquired, and the method specifically comprises the following steps: the method comprises the following steps that karst spring water flow data, drilling water level data and tunnel water inflow data during construction of a target line region corresponding to a tunnel in a karst region are obtained, and sudden changes of the data can possibly cause water inrush risks.
And S120, acquiring precipitation data of the tunnel in the karst area, and determining the correlation among the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data, wherein the correlation comprises a positive correlation and a negative correlation.
Wherein, precipitation data in karst district tunnel can be understood as the precipitation data that karst district tunnel caused because rainy or snowy weather in different periods. The positive correlation relationship may be that the independent variable increases, the dependent variable also increases, the two variables change in the same direction, and when one variable changes from large to small or from small to large, the other variable also changes from large to small or from small to large. The negative correlation relationship may be that the independent variable increases, the dependent variable decreases, the two variables change in opposite directions, and when one variable changes from large to small or from small to large, the other variable changes from small to large or from large to small.
Because the precipitation data in karst district tunnel may be to karst spring water flow data, the size of drilling water level data and tunnel gushing water volume data causes the influence, consequently need acquire the precipitation data in karst district tunnel, and according to the precipitation data, karst spring water flow data, the characteristics of drilling water level data and tunnel gushing water volume data, confirm karst spring water flow data, be positive correlation or negative correlation between these three kinds of data of drilling water level data and tunnel gushing water volume data and the precipitation data, so that follow-up according to target data and the big or small relation and the correlation of the scope of predetermineeing that corresponds, carry out karst district tunnel gushing water early warning.
And S130, carrying out karst region tunnel water inrush early warning according to the size relation and the correlation of the target data and the corresponding preset range, wherein the target data comprise karst spring water flow data, drilling water level data, tunnel water inflow data and precipitation data.
The preset range corresponding to each kind of data in the target data may be different, and the preset range may be determined according to specific situations or may be determined in advance, which is not limited in this embodiment. The tunnel face is also called sub-face, and can be understood as a working face which is continuously pushed forward when excavating tunnels (in coal mining, mining or tunnel engineering).
After the correlation between three data of karst spring water flow data, drilling water level data and tunnel water inflow data and precipitation data is obtained, whether data in the target data have mutation or not can be determined according to whether the target data exceed the corresponding preset range and the correlation, and therefore whether water inrush risks exist in front of the tunnel face or not can be predicted, namely: the karst area tunnel water inrush early warning can be carried out.
In this embodiment, at first acquire the karst spring water flow data of the target circuit region that the karst district tunnel corresponds, tunnel gushing water volume data during drilling water level data and construction, then acquire the precipitation data in karst district tunnel, and confirm karst spring water flow data, drilling water level data and the tunnel gushing water volume data and the correlation between the precipitation data, wherein, the correlation includes positive correlation and negative correlation, according to target data and the big or small relation and the correlation of corresponding predetermined scope, carry out karst district tunnel gushing water early warning, wherein, target data include karst spring water flow data, drilling water level data, tunnel gushing water volume data and precipitation data, can in time carry out gushing water early warning to the karst district tunnel, guarantee construction safety, avoid the karst gushing water to cause the calamity.
In this embodiment, optionally, the obtaining of the karst spring water flow data of the target line region corresponding to the karst region tunnel may specifically include:
acquiring relevant data of a target line area corresponding to a tunnel of a karst area; and determining the position of the karst spring water according to the content of the related data, and monitoring the flow of the karst spring water through flow monitoring equipment arranged around the position of the karst spring water to obtain the water flow data of the karst spring water.
The flow monitoring equipment can be equipment capable of monitoring the flow of the karst spring water, such as a flow monitor, and can also be other flow monitoring equipment.
In particular, a tunnel is usually subjected to a geological survey process before construction, so as to design a suitable target line, namely: and (4) tunnel route. The method comprises the steps of obtaining relevant data of a target circuit area corresponding to a tunnel of a karst area in the surveying process, determining the position of karst spring water in the target circuit area by inquiring the content of the relevant data, and monitoring the flow of the karst spring water by flow monitoring equipment arranged around the position of the karst spring water, so that water flow data of the karst spring water are obtained.
In the embodiment, the position of the karst spring water is determined firstly, and then the flow of the karst spring water is monitored by the flow monitoring equipment arranged around the position of the karst spring water, so that the water flow data of the karst spring water can be obtained, and whether the water flow data of the karst spring can be mutated or not can be determined subsequently, and the water inrush risk is caused.
In this embodiment, optionally, the obtaining of the drilling water level data of the target line region corresponding to the karst region tunnel may specifically include:
determining the elevation and the trend of a target line according to the position of the karst spring water and the karst spring water flow data, and performing ground geophysical prospecting according to the elevation and the trend of the target line to obtain corresponding geophysical prospecting data; interpreting the geophysical prospecting data to obtain a geophysical prospecting interpretation result; drilling at a geophysical prospecting high resistance position and a geophysical prospecting low resistance position corresponding to the geophysical prospecting interpretation result respectively to obtain corresponding drill holes; and monitoring the water level of the drilled hole through water level monitoring equipment arranged around the drilled hole to obtain corresponding water level data of the drilled hole.
Elevation is understood to mean, among other things, the distance of a point from the absolute base surface in the direction of the plumb line. Ground geophysical prospecting is understood to be geophysical prospecting work performed on the surface of the earth's land for the purpose of deducing and interpreting various anomalies resulting from geological structure information, mineral distribution information and anthropic factors from shallow to deep within the continent, and gravity, magnetic, electrical, seismic, radioactive, geothermal etc. prospecting can be performed on the surface of the earth. The geophysical high-resistance position can be understood as a position where the underground resistivity is high, and can be a cavity position of a karst cave. The geophysical low-resistance position can be understood as a position with low underground resistivity, and can be a position where all water is in the karst cave. The water level monitoring device can be understood as a device capable of monitoring the drilling water level, such as a water level meter, and can also be other water level monitoring devices.
Specifically, according to the position of the karst spring water and the karst spring water flow data, the elevation and the trend of the target line can be determined, namely: elevation and strike of tunnel routes. Then carry out ground geophysical prospecting to the elevation and the trend of target line, just can obtain corresponding geophysical prospecting data, because geophysical prospecting data can't directly carry out the analysis, consequently need interpret geophysical prospecting data, obtain the geophysical prospecting interpretation result, promptly: the image is visualized. And drilling at the geophysical high-resistance position and the geophysical low-resistance position to obtain a corresponding borehole. The water level monitoring equipment arranged around the drill hole can monitor the water level of the drill hole, and corresponding drill hole water level data are obtained.
In the embodiment, the drilling water level data are obtained by the method, so that whether the drilling water level data are subjected to sudden change or not is determined, and the water inrush risk is caused.
In this embodiment, optionally, the target line region corresponding to the karst area tunnel may be determined in the following manner:
acquiring the development degree of karst, the height of a horizontal runoff zone and the height of a vertical seepage zone in the tunnel of the karst area in the surveying process; and determining the position of a weak development zone or a vertical seepage zone of the karst as a target line area corresponding to the tunnel of the karst area according to the development degree of the karst, the elevation of the horizontal runoff zone and the elevation of the vertical seepage zone.
Specifically, data such as the development degree of a karst, the height of a horizontal runoff zone, the height of a vertical seepage zone and the like included in a tunnel of the karst zone can be obtained in the surveying process, and by acquiring the data and analyzing the data, a target line area corresponding to the tunnel of the karst zone can be better planned.
In the embodiment, the target line area corresponding to the tunnel in the karst area is determined by the method, so that the accuracy of the design of the target line of the tunnel can be improved, and the construction risk is avoided.
Fig. 2 is a schematic flow chart of a karst region tunnel water inrush early warning method provided by the embodiment of the disclosure. The embodiment is optimized on the basis of the embodiment. Optionally, this embodiment explains the process of performing the karst area tunnel water inrush warning in detail. As shown in fig. 2, the method specifically includes the following steps:
s210, acquiring karst spring water flow data, drilling water level data and tunnel water inflow data during construction of a target line region corresponding to the tunnel in the karst region.
S220, acquiring precipitation data of the tunnel in the karst area, and determining the correlation among the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data, wherein the correlation comprises a positive correlation and a negative correlation.
And S230, determining preset ranges corresponding to the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data respectively according to the correlation.
After the correlation is obtained, according to the correlation and the data distribution conditions of the four data per se, namely karst spring water flow data, drilling water level data, tunnel water inflow data and precipitation data, the maximum value and the minimum value of the allowable change of the karst spring water flow data can be determined, namely: a preset range corresponding to the flow of the karst spring water; the maximum and minimum values of allowable variation of the borehole water level data are: a preset range corresponding to the drilling water level data; the maximum value and the minimum value of the allowable change of the tunnel water inflow data are as follows: a preset range corresponding to the tunnel water inflow data; maximum and minimum values of allowable variation of precipitation data, namely: the corresponding preset range of precipitation data.
S240, determining whether at least one type of data included in the target data exceeds a corresponding preset range.
After the preset ranges respectively corresponding to the data in the target data are obtained, whether at least one type of data included in the target data exceeds the corresponding preset range can be determined according to the size relationship between the current value of each data in the target data and the corresponding preset range.
If yes, go to S250; if not, go to S260.
And S250, carrying out water inrush early warning on the tunnel in the karst area.
If at least one type of data included in the target data exceeds the corresponding preset range, indicating that the front of the tunnel face has water inrush risk, and carrying out water inrush early warning on the tunnel in the karst area so as to remind related workers to stop construction in time and avoid safety accidents.
And S260, determining that the karst area tunnel has no water inrush risk.
And if the data included in the target data do not exceed the corresponding preset range, the fact that no water inrush risk exists in front of the tunnel face is indicated, it is determined that no water inrush risk exists in the karst area tunnel, and the working personnel can continue to construct the tunnel.
In the embodiment, karst spring water flow data, drilling water level data and tunnel water inflow data during construction of a target line region corresponding to a karst area tunnel are firstly obtained, precipitation data of the karst area tunnel are then obtained, the correlation among the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data is determined, then according to the correlation, preset ranges corresponding to the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data are determined respectively, finally, whether at least one type of data included in the target data exceeds the corresponding preset range is determined, and if the preset ranges exceed the corresponding preset ranges, early warning of water inrush in the karst area tunnel is carried out; and if the water burst risk does not exist in the karst area tunnel, determining that the karst area tunnel has no water burst risk. In the scheme, whether at least one type of data included in the determined target data exceeds the corresponding preset range or not can be quickly judged to determine whether the water inrush risk exists or not, so that the water inrush early warning is carried out, the method is simple and strong in universality, is suitable for all karst area tunnel reconnaissance and construction processes, and provides a powerful guarantee for construction safety.
In this embodiment, optionally, the obtaining precipitation data of the karst area tunnel, and determining the correlation between the karst spring water flow data, the drilling water level data, the tunnel water inflow data, and the precipitation data may specifically include:
acquiring precipitation data of the karst area tunnel; analyzing data sequences respectively corresponding to the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data to obtain analysis results; according to the analysis result, respectively determining a first correlation relationship between the karst spring water flow data and the precipitation data, a second correlation relationship between the drilling water level data and the precipitation data and a third correlation relationship between the tunnel water inflow data and the precipitation data; and determining the correlation among the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data according to the first correlation, the second correlation and the third correlation.
The concrete, through the precipitation data in karst district tunnel to the data sequence that corresponds respectively to karst spring discharge data, drilling water level data, tunnel gushing water volume data and precipitation data carries out the analysis, can the analysis result, promptly: distribution of these four data. From the analysis result, the first correlation between the karst spring water flow rate data and the precipitation data, that is, the first correlation between the karst spring water flow rate data and the precipitation data: whether the karst spring water flow data and the precipitation data are in positive correlation or negative correlation; a second correlation of borehole water level data to precipitation data, namely: whether the drilling water level data and the precipitation data are in positive correlation or negative correlation; and a third correlation relationship between the tunnel water inflow data and the precipitation data, namely: the tunnel water inflow data and the precipitation data are in positive correlation or negative correlation. In the normal case: karst spring water flow data and precipitation data are in a positive correlation relationship, drilling water level data and precipitation data are also in a positive correlation relationship, and tunnel water inflow data and precipitation data are also in a positive correlation relationship. After the first correlation relationship, the second correlation relationship and the third correlation relationship are obtained, the correlation relationship among the karst spring water flow data, the drilling water level data and the tunnel water inflow data can be determined according to the first correlation relationship, the second correlation relationship and the third correlation relationship and by combining the relationship among the karst spring water flow data, the drilling water level data and the tunnel water inflow data.
In the embodiment, the correlation among the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data is determined by the method, so that the obtained correlation is more accurate and more accords with the actual condition, and the subsequent karst area tunnel water inrush early warning is facilitated.
Fig. 3 is a schematic structural diagram of a karst region tunnel water inrush early warning system provided in an embodiment of the present disclosure; the system is configured in electronic equipment, and can realize the karst area tunnel water inrush early warning method in any embodiment of the application. The system specifically comprises the following:
the data acquisition module 310 is used for acquiring karst spring water flow data, drilling water level data and tunnel water inflow data during construction of a target line region corresponding to a karst region tunnel;
a relation determining module 320, configured to obtain precipitation data of the karst area tunnel, and determine a correlation between the karst spring water flow data, the drilling water level data, and the tunnel water inflow data and the precipitation data, where the correlation includes a positive correlation and a negative correlation;
and the early warning module 330 is configured to perform karst area tunnel water inrush early warning according to the size relationship between the target data and the corresponding preset range and the correlation relationship, where the target data includes karst spring water flow data, drilling water level data, tunnel water inflow data and precipitation data.
In this embodiment, optionally, the data obtaining module 310 may include:
the first data acquisition unit is used for acquiring karst spring water flow data of a target line region corresponding to the karst region tunnel;
the second data acquisition unit is used for acquiring drilling water level data of a target line region corresponding to the tunnel of the karst region;
and the third data acquisition unit is used for acquiring tunnel water inflow data in the construction period of a target line region corresponding to the tunnel in the karst region.
In this embodiment, optionally, the first data obtaining unit is specifically configured to:
acquiring relevant data of a target line area corresponding to a tunnel of a karst area;
and determining the position of the karst spring water according to the content of the related data, and monitoring the flow of the karst spring water through flow monitoring equipment arranged around the position of the karst spring water to obtain the water flow data of the karst spring water.
In this embodiment, optionally, the second data obtaining unit is specifically configured to:
determining the elevation and the trend of a target line according to the position of the karst spring water and the karst spring water flow data, and performing ground geophysical prospecting according to the elevation and the trend of the target line to obtain corresponding geophysical prospecting data;
interpreting the geophysical prospecting data to obtain a geophysical prospecting interpretation result;
drilling at a geophysical prospecting high resistance position and a geophysical prospecting low resistance position corresponding to the geophysical prospecting interpretation result respectively to obtain corresponding drill holes;
and monitoring the water level of the drilled hole through water level monitoring equipment arranged around the drilled hole to obtain corresponding water level data of the drilled hole.
In this embodiment, optionally, the relationship determining module 320 is specifically configured to:
acquiring precipitation data of the karst area tunnel;
analyzing data sequences respectively corresponding to the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data to obtain analysis results;
according to the analysis result, respectively determining a first correlation relationship between the karst spring water flow data and the precipitation data, a second correlation relationship between the drilling water level data and the precipitation data and a third correlation relationship between the tunnel water inflow data and the precipitation data;
and determining the correlation among the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data according to the first correlation, the second correlation and the third correlation.
In this embodiment, optionally, the early warning module 330 is specifically configured to:
determining preset ranges corresponding to the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data respectively according to the correlation;
determining whether at least one type of data included in the target data exceeds a corresponding preset range;
and if so, carrying out water inrush early warning on the tunnel in the karst area.
In this embodiment, optionally, the system further includes:
a risk-free determination module, specifically configured to: and if all the data included in the target data do not exceed the corresponding preset range, determining that the karst region tunnel has no water inrush risk.
In this embodiment, optionally, the target line region corresponding to the karst area tunnel is determined by the following method:
acquiring the development degree of karst, the height of a horizontal runoff zone and the height of a vertical seepage zone in the tunnel of the karst area in the surveying process;
and determining the position of a weak development zone or a vertical seepage zone of the karst as a target line area corresponding to the tunnel of the karst area according to the development degree of the karst, the elevation of the horizontal runoff zone and the elevation of the vertical seepage zone.
By the karst area tunnel water inrush early warning system provided by the embodiment of the disclosure, firstly, karst spring water flow data, drilling water level data and tunnel water inflow data during construction of a target line area corresponding to a karst area tunnel are obtained, then acquiring precipitation data of the tunnel in the karst area, determining the correlation among karst spring water flow data, drilling water level data, tunnel water inflow data and precipitation data, wherein the correlation comprises a positive correlation and a negative correlation, and finally, the karst area tunnel water inrush early warning is carried out according to the size relationship and the correlation between the target data and the corresponding preset range, the target data comprise karst spring water flow data, drilling water level data, tunnel water inflow data and precipitation data, and water inrush early warning can be timely carried out on the tunnel in the karst area, so that construction safety is guaranteed, and the karst water inrush disaster is avoided.
The karst region tunnel water inrush early warning system provided by the embodiment of the disclosure can execute the karst region tunnel water inrush early warning method provided by any embodiment of the disclosure, and has corresponding functional modules and beneficial effects of the execution method.
Fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure. As shown in fig. 4, the electronic device includes a processor 410 and a storage 420; the number of the processors 410 in the electronic device may be one or more, and one processor 410 is taken as an example in fig. 4; the processor 410 and the storage 420 in the electronic device may be connected by a bus or other means, and fig. 4 illustrates the connection by a bus as an example.
The storage device 420 is a computer-readable storage medium, and can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the karst region tunnel water burst warning method in the embodiments of the present disclosure. The processor 410 executes various functional applications and data processing of the electronic device by running the software programs, instructions and modules stored in the storage device 420, that is, the karst region tunnel water inrush early warning method provided by the embodiment of the disclosure is implemented.
The storage device 420 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the storage 420 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the storage 420 may further include memory located remotely from the processor 410, which may be connected to the electronic device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic equipment provided by the embodiment can be used for executing the karst region tunnel water inrush early warning method provided by any embodiment, and has corresponding functions and beneficial effects.
The embodiment of the present disclosure also provides a storage medium containing computer executable instructions, which when executed by a computer processor, are used to implement the karst region tunnel water burst early warning method provided by the embodiment of the present disclosure.
Of course, the storage medium provided by the embodiments of the present disclosure contains computer-executable instructions, and the computer-executable instructions are not limited to the method operations described above, and may also perform related operations in the karst region tunnel water inrush warning method provided by any embodiments of the present disclosure.
From the above description of the embodiments, it is obvious for a person skilled in the art that the present disclosure can be implemented by software and necessary general hardware, and certainly can be implemented by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present disclosure may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present disclosure.
It should be noted that, in the embodiment of the karst region tunnel water inrush early warning system, each unit and each module included in the embodiment are only divided according to functional logic, but are not limited to the division, as long as corresponding functions can be realized; in addition, specific names of the functional units are only used for distinguishing one functional unit from another, and are not used for limiting the protection scope of the present disclosure.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present disclosure, which enable those skilled in the art to understand or practice the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A karst area tunnel water inrush early warning method is characterized by comprising the following steps:
acquiring karst spring water flow data, drilling water level data and tunnel water inflow data during construction of a target line region corresponding to a tunnel in a karst region;
acquiring precipitation data of the tunnel in the karst area, and determining a correlation among the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data, wherein the correlation comprises a positive correlation and a negative correlation;
and carrying out karst region tunnel water inrush early warning according to the size relation between target data and a corresponding preset range and the correlation relation, wherein the target data comprise karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data.
2. The method of claim 1, wherein the obtaining karst spring water flow data for the target line region corresponding to the karst area tunnel comprises:
acquiring relevant data of a target line area corresponding to a tunnel of a karst area;
and determining the position of the karst spring water according to the content of the related data, and monitoring the flow of the karst spring water through flow monitoring equipment arranged around the position of the karst spring water to obtain the water flow data of the karst spring water.
3. The method of claim 2, wherein obtaining the drilling water level data of the target line region corresponding to the karst area tunnel comprises:
determining the elevation and the trend of a target line according to the position of the karst spring water and the karst spring water flow data, and performing ground geophysical prospecting according to the elevation and the trend of the target line to obtain corresponding geophysical prospecting data;
interpreting the geophysical prospecting data to obtain a geophysical prospecting interpretation result;
drilling at a geophysical prospecting high resistance position and a geophysical prospecting low resistance position corresponding to the geophysical prospecting interpretation result respectively to obtain corresponding drill holes;
and monitoring the water level of the drilled hole through water level monitoring equipment arranged around the drilled hole to obtain corresponding water level data of the drilled hole.
4. The method of claim 1, wherein the obtaining precipitation data for the karst area tunnel and determining the correlation between the karst spring water flow data, the borehole water level data, and the tunnel water inflow data and the precipitation data comprises:
acquiring precipitation data of the karst area tunnel;
analyzing data sequences respectively corresponding to the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data to obtain analysis results;
according to the analysis result, respectively determining a first correlation relationship between the karst spring water flow data and the precipitation data, a second correlation relationship between the drilling water level data and the precipitation data and a third correlation relationship between the tunnel water inflow data and the precipitation data;
and determining the correlation among the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data according to the first correlation, the second correlation and the third correlation.
5. The method according to claim 1, wherein the pre-warning of water inrush in karst tunnels according to the size relationship between the target data and the corresponding preset range and the correlation relationship comprises:
determining preset ranges corresponding to the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data respectively according to the correlation;
determining whether at least one type of data included in the target data exceeds a corresponding preset range;
and if so, carrying out water inrush early warning on the tunnel in the karst area.
6. The method of claim 5, further comprising:
and if all the data included in the target data do not exceed the corresponding preset range, determining that the karst region tunnel has no water inrush risk.
7. The method according to any one of claims 1-6, wherein the target line zone corresponding to the karst tunnel is determined by:
acquiring the development degree of karst, the height of a horizontal runoff zone and the height of a vertical seepage zone in the tunnel of the karst area in the surveying process;
and determining the position of a weak development zone or a vertical seepage zone of the karst as a target line area corresponding to the tunnel of the karst area according to the development degree of the karst, the elevation of the horizontal runoff zone and the elevation of the vertical seepage zone.
8. The utility model provides a karst district tunnel gushing water early warning system which characterized in that, the system includes:
the data acquisition module is used for acquiring karst spring water flow data, drilling water level data and tunnel water inflow data during construction of a target line region corresponding to a karst region tunnel;
the relation determining module is used for acquiring precipitation data of the karst area tunnel and determining a correlation among the karst spring water flow data, the drilling water level data, the tunnel water inflow data and the precipitation data, wherein the correlation comprises a positive correlation and a negative correlation;
and the early warning module is used for carrying out karst area tunnel water inrush early warning according to the size relation between the target data and the corresponding preset range and the correlation relation, wherein the target data comprise karst spring water flow data, drilling water level data, tunnel water inflow data and precipitation data.
9. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111151807.1A CN113901547A (en) | 2021-09-29 | 2021-09-29 | Karst area tunnel water inrush early warning method and system, electronic device and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111151807.1A CN113901547A (en) | 2021-09-29 | 2021-09-29 | Karst area tunnel water inrush early warning method and system, electronic device and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113901547A true CN113901547A (en) | 2022-01-07 |
Family
ID=79189240
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111151807.1A Pending CN113901547A (en) | 2021-09-29 | 2021-09-29 | Karst area tunnel water inrush early warning method and system, electronic device and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113901547A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116384129A (en) * | 2023-04-10 | 2023-07-04 | 重庆中环建设有限公司 | Prediction method for disaster characteristics of highway tunnel passing through karst stratum |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102094678A (en) * | 2009-12-11 | 2011-06-15 | 张旭东 | Method for identifying water-bursting risks in karst tunnels |
| CN105678417A (en) * | 2016-01-06 | 2016-06-15 | 中电建路桥集团有限公司 | Prediction method and device for tunnel face water inflow of construction tunnel |
| CN109113788A (en) * | 2018-05-31 | 2019-01-01 | 中国地质大学（武汉） | A kind of Karst Tunnel karst water inflow method |
| CN110795878A (en) * | 2019-10-25 | 2020-02-14 | 中国铁路设计集团有限公司 | Tunnel water inflow prediction method |
| JP2020094434A (en) * | 2018-12-13 | 2020-06-18 | 鹿島建設株式会社 | Face stability evaluation method and tunnel boring method |
| CN112465191A (en) * | 2020-11-11 | 2021-03-09 | 中国铁路设计集团有限公司 | Method and device for predicting tunnel water inrush disaster, electronic equipment and storage medium |
-
2021
- 2021-09-29 CN CN202111151807.1A patent/CN113901547A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102094678A (en) * | 2009-12-11 | 2011-06-15 | 张旭东 | Method for identifying water-bursting risks in karst tunnels |
| CN105678417A (en) * | 2016-01-06 | 2016-06-15 | 中电建路桥集团有限公司 | Prediction method and device for tunnel face water inflow of construction tunnel |
| CN109113788A (en) * | 2018-05-31 | 2019-01-01 | 中国地质大学（武汉） | A kind of Karst Tunnel karst water inflow method |
| JP2020094434A (en) * | 2018-12-13 | 2020-06-18 | 鹿島建設株式会社 | Face stability evaluation method and tunnel boring method |
| CN110795878A (en) * | 2019-10-25 | 2020-02-14 | 中国铁路设计集团有限公司 | Tunnel water inflow prediction method |
| CN112465191A (en) * | 2020-11-11 | 2021-03-09 | 中国铁路设计集团有限公司 | Method and device for predicting tunnel water inrush disaster, electronic equipment and storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116384129A (en) * | 2023-04-10 | 2023-07-04 | 重庆中环建设有限公司 | Prediction method for disaster characteristics of highway tunnel passing through karst stratum |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2019042483A2 (en) | Tbm boring rock state real-time sensing system and method | |
| CN103743441B (en) | The polynary of a kind of side slope safety is coupling in line monitoring system and method | |
| CN106680894B (en) | A kind of tunnel geological advanced prediction method based on C/S framework | |
| CN104452836A (en) | Stability detection early warning method for deep foundation pit supporting structure | |
| CN110927821A (en) | BIM + GIS-based advanced geological forecast information system for tunnel construction | |
| CN106772621B (en) | A kind of nearly comprehensive resistivity geological extra-forecast method | |
| Peng et al. | Risk assessment of water inrush in tunnel through water-rich fault based on AHP-Cloud model | |
| CN106593526B (en) | A kind of tunnel geology karst methods of risk assessment based on fuzzy Judgment | |
| CN112610277B (en) | Method for rapidly predicting geological disaster risk of water-rich weak surrounding rock tunnel | |
| CN103399354A (en) | Forecasting method and system for tunnel geology | |
| Liu et al. | An improved Time-Lapse resistivity tomography to monitor and estimate the impact on the groundwater system induced by tunnel excavation | |
| CN103498670A (en) | horizontal well geological prediction method and device | |
| CN110515117A (en) | A kind of underground karst cavity detection method to be impulsed based on pile monkey with decision-tree model | |
| CN113901547A (en) | Karst area tunnel water inrush early warning method and system, electronic device and medium | |
| CN113586160B (en) | Comprehensive-caving face water condition monitoring system based on artificial intelligence | |
| CN111563653A (en) | Early warning construction method for water-rich broken stratum of underground engineering | |
| CN211123324U (en) | BIM + GIS-based advanced geological forecast information system for tunnel construction | |
| Tang et al. | Dynamic assessment of rainfall-induced shallow landslide hazard | |
| CN112288243B (en) | Method and device for evaluating associated metal resources in coal | |
| CN108414724A (en) | Underground engineering wall rock subregion weakens fast quantitative measurement method for detecting, system and equipment | |
| CN211149630U (en) | Landslide deep detection instrument and landslide deep early warning system | |
| Dong et al. | Introduction to special issue on mine water inrushes: Risk assessment, mitigation, and prevention | |
| Li et al. | Deformation characteristics and exploratory data analysis of rainfall-induced rotational landslide: A case study of the Zhutoushan landslide in Nanjing, China | |
| Zheng et al. | Simulation of bench stepping and optimization of bolt parameters based on multiple geological information fusion | |
| Gao et al. | Synergetic system for water body detection in coal mine: a case study |
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 |