Method, device and equipment for predicting surface deformation induced by normal-slip creeping of a concealed active fault in a plain area and storage medium
By constructing a multi-parameter prediction model covering fault dip angle, creep rate, and creep time, the problem of quantitative prediction of surface deformation induced by creep of hidden active faults in plain areas was solved, achieving accurate prediction of surface deformation and improving the accuracy and reliability of prediction results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- INST OF GEOMECHANICS
- Filing Date
- 2026-04-29
- Publication Date
- 2026-07-24
AI Technical Summary
Existing technologies lack specificity and practicality in predicting surface deformation induced by creep of hidden active faults in plain areas. They are unable to reflect the non-uniform characteristics of surface deformation and lack reliable quantitative relationships, making it impossible to achieve accurate prediction in urban planning and engineering site selection.
A multi-parameter prediction model covering fault dip angle, creep rate, and creep time was constructed. Basic data were obtained through geological drilling, geophysical exploration, and field surveys. A simplified three-dimensional geological model was established to simulate and calculate the vertical deformation of the Earth's surface and divide the deformation zones. A prediction model was then constructed to achieve accurate quantitative prediction.
It has enabled accurate quantitative prediction of surface deformation induced by creep of hidden active faults in plain areas, improving the accuracy and reliability of prediction results, especially with the error controlled within 3% in the fault dip angle range of 65°~75°.
Smart Images
Figure CN122452133A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of concealed fault activity technology, and in particular to a method, apparatus, equipment and storage medium for predicting surface deformation induced by normal fault creep in concealed active faults in plain areas. Background Technology
[0002] Existing methods for studying surface deformation induced by creep of concealed active faults largely rely on numerical simulations and analytical solutions. These methods focus on fault geometry and overlying soil conditions to conduct single-factor or multi-factor sensitivity analyses, achieving preliminary qualitative to semi-quantitative predictions of surface deformation and rupture location, thus laying the foundation for research on the deformation mechanism of concealed faults in plains areas. However, from the perspectives of the completeness, specificity, and practicality of creep deformation prediction models, there are still significant shortcomings. First, existing results mainly focus on bedrock exposed faults and surface rupture during strong earthquakes, lacking specific research on slow deformation hazards such as long-term cumulative deformation caused by creep beneath Quaternary overburden in plains areas, and there are no corresponding engineering evaluation standards. Second, fault models are often oversimplified, with studies often generalizing faults as uniform planar structures, ignoring the complexity and segmentation of fault spatial distribution, making it difficult to reflect the non-uniform characteristics of surface deformation, leading to discrepancies between simulation results and reality. Furthermore, quantitative research on key processes and parameters is insufficient; key variables such as fault dip angle, creep rate, and creep time still lack reliable quantitative relationships with the range and magnitude of surface deformation. More notably, there is still a lack of dedicated creep deformation prediction models for specific areas such as urban plains. Existing models cannot comprehensively couple fault geometry, kinematic parameters and soil conditions to make accurate predictions, making it difficult to achieve quantitative risk prediction and source control in urban planning and site selection for major projects.
[0003] Therefore, it is necessary to further address the above issues and propose a multi-parameter prediction model that covers fault dip angle, creep rate, and creep time, so as to provide a calculation method for predicting disasters caused by creep activity of hidden faults in plain areas. Summary of the Invention
[0004] This application provides a method, device, equipment, and storage medium for predicting surface deformation induced by creep of concealed active faults in plain areas. By constructing a prediction model covering three key parameters—fault dip angle, creep rate, and creep time—the zonal characteristics of surface deformation and the influence range of each zone are clarified. A quantitative relationship between key parameters and vertical surface deformation is established, enabling accurate quantitative prediction of surface deformation induced by creep of concealed active faults in plain areas. This provides a scientific and reliable calculation method for disaster prediction and engineering risk prevention and control of creep activity of concealed faults in plain areas.
[0005] In a first aspect, this application provides a method for predicting surface deformation induced by creep of concealed active faults in plain areas, the method comprising: Obtain basic data from geological drilling, geophysical exploration, and field geological surveys. Based on the basic data, determine the spatial distribution pattern of major concealed active faults and the distribution pattern of geological hazards in the plain area. Select at least one concealed normal fault as the analysis object and construct a three-dimensional simplified geological model of the concealed normal fault and its adjacent area. Based on the three-dimensional simplified geological model, using the fracture creep rate as the displacement boundary condition, the vertical deformation of the surface induced by the normal fault creep of the concealed normal fault is simulated and calculated, the characteristics of the vertical deformation of the surface are obtained, and the surface deformation zone is divided from the concealed normal fault. Based on the division of surface deformation zones, according to the fault dip angle , creeping time and creep rate The influence of the spatial distribution of vertical surface deformation is investigated, and a prediction model for vertical surface deformation induced by normal fault creep is constructed; the prediction model is used to predict vertical surface deformation.
[0006] In one possible design, the surface deformation zone is divided from the concealed normal fault into a stable deformation zone and a significant deformation zone. The stable deformation zone includes zone I and zone III, and the significant deformation zone includes zone II near the fault. The maximum influence range of zone I is 2.0 to 10.0 km from the fault surface trace, the maximum influence range of zone III is 2.5 to 14.0 km from the fault surface trace, and the maximum influence range of zone II is within 2.5 km of both the hanging wall and footwall of the fault surface trace.
[0007] In one possible design, the prediction model employs different formulas for predicting vertical surface deformation for different surface deformation zones: For zones I and III, vertical deformation of the earth's surface The prediction formula is: in, To calculate the distance from the point to the fault surface trace, It is a natural constant. , and To match the fault dip angle , creeping time and creep rate The relevant first, second, and third fitted variables; For Zone II, the vertical deformation of the ground surface The prediction formula is: in, and To match the fault dip angle , creeping time and creep rate The relevant fourth and fifth fitted variables, The center of the fitted curve is... Let be the Hill slope.
[0008] In one possible design, the formula for calculating the first fitted variable C is: in, , and These are the first fitting constant, the second fitting constant, and the ninth fitting constant, respectively.
[0009] In one possible design, the second fitted variable The calculation formula is: in, and These are the third and fourth fitting constants, respectively.
[0010] In one possible design, the third fitted variable The calculation formula is: in, and These are the fifth and tenth fitting constants, respectively.
[0011] In one possible design, the fourth fitted variable and the fifth fitted variable The calculation formula is: in, , and These are the sixth, seventh, and eighth fitting constants, respectively.
[0012] Secondly, this application provides a device for predicting surface deformation induced by creep of concealed active faults in plain areas. The device includes: The parameter acquisition module is configured to acquire basic data from geological drilling, geophysical exploration, and field geological surveys. Based on the basic data, it determines the spatial distribution pattern of major concealed active faults and the distribution law of geological hazards in the plain area, selects at least one concealed normal fault as the analysis object, and constructs a three-dimensional simplified geological model of the concealed normal fault and its adjacent area. The deformation zone delineation module is configured to simulate and calculate the surface vertical deformation induced by the normal fault creep of the concealed normal fault based on the three-dimensional simplified geological model and with the fault creep rate as the displacement boundary condition, so as to obtain the surface vertical deformation characteristics and delineate the surface deformation zone from the concealed normal fault. The deformation prediction module is configured to be based on the divided surface deformation zones, according to the fault dip angle. , creeping time and creep rate The influence of the spatial distribution of vertical surface deformation is investigated, and a prediction model for vertical surface deformation induced by normal fault creep is constructed; the prediction model is used to predict vertical surface deformation.
[0013] Thirdly, embodiments of this application provide an electronic device, including: at least one processor and a memory; the memory stores computer execution instructions; the at least one processor executes the computer execution instructions stored in the memory, causing the at least one processor to execute the method for predicting surface deformation induced by normal fault creep in plain areas as described in the first aspect and various possible designs of the first aspect.
[0014] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions. When a processor executes the computer-executable instructions, it implements the method for predicting surface deformation induced by normal fault creep in plain areas as described in the first aspect and various possible designs of the first aspect.
[0015] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the method for predicting surface deformation induced by normal fault creep in plain areas as described in the first aspect and various possible designs of the first aspect.
[0016] The method, apparatus, equipment, and storage medium for predicting surface deformation induced by creep of concealed active faults in plain areas provided in this application have at least the following beneficial effects: This application constructs a simplified three-dimensional geological model of a concealed normal fault and its adjacent areas by integrating basic data from geological drilling, geophysical exploration, and field geological surveys. Based on linear elastic fault dislocation theory, it conducts numerical simulations of vertical surface deformation induced by normal fault creep and achieves scientific zoning of surface deformation. Furthermore, it constructs a zoning prediction model encompassing three key parameters: fault dip angle, creep rate, and creep time. This effectively overcomes the shortcomings of existing technologies, which often focus on bedrock-exposed faults and strong earthquake-induced surface rupture, and lack research on long-term cumulative creep deformation beneath Quaternary overburden in plains areas. It also solves the technical problems of traditional fault models being oversimplified and unable to reflect the non-uniform characteristics of surface deformation, and lacking reliable quantitative relationships between key variables and the range and magnitude of surface deformation. This application can accurately quantify the influence range and deformation magnitude of each deformation zone under different parameter conditions. In particular, within the fault dip angle range of 65°–75°, the prediction error can be controlled within 3%, significantly improving the accuracy and reliability of the prediction results. Attached Figure Description
[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.
[0018] Figure 1 A flowchart of a method for predicting surface deformation induced by normal fault creep in plain areas provided in this application embodiment; Figure 2 A simplified three-dimensional geological model of a concealed normal fault and its adjacent area provided in this application embodiment; Figure 3 This is a surface deformation feature map around a concealed active fault provided in an embodiment of this application; Figure 4 This application provides a zoning map of surface deformation induced by creep of concealed active faults in an embodiment of the present application. Figure 5 This application provides a fitted curve diagram for zone I in its embodiments. Figure 6 The fitting curve diagram of zone III provided in the embodiments of this application; Figure 7 This is a fitted curve diagram of zone II provided in the embodiments of this application; Figure 8 A comparison diagram of the 70° prediction model and the in-situ surface deformation calculation provided in the embodiments of this application; Figure 9 A structural diagram of the surface deformation prediction device induced by normal fault creep in plain areas provided in this application embodiment.
[0019] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concepts of this application to those skilled in the art through reference to specific embodiments. Detailed Implementation
[0020] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.
[0021] The collection, storage, use, processing, transmission, provision, and disclosure of financial data or user data involved in the technical solution of this application all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.
[0022] It should be noted that in the embodiments of this application, certain software, components, models and other existing solutions in the industry may be mentioned. These should be regarded as exemplary and are only intended to illustrate the feasibility of implementing the technical solution of this application. However, it does not mean that the applicant has used or necessarily used the solution.
[0023] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.
[0024] This application provides a method for predicting surface deformation induced by normal fault creep in plain areas. Based on fundamental data from geological drilling, geophysical exploration, and field geological surveys, it systematically analyzes the spatial distribution pattern of major hidden active faults and the distribution patterns of geological hazards in plain areas. Three faults with significant current activity and prominent surface deformation along their routes are selected as analysis objects, and a simplified three-dimensional geological model of the faults and their adjacent areas is constructed. Based on linear elastic fault dislocation theory, the PSGRN / PSCMP numerical calculation program is used, with the fault creep rate as the displacement boundary condition, to simulate and analyze the surface deformation characteristics induced by fault creep, clarifying the range of "significant deformation zones" and "deformation zone stabilization zones." Furthermore, the fault dip angle is discussed. α creep rate v , creeping time tThe study investigated the influence of three key parameters on the spatial distribution of ground deformation, constructed a predictive model for ground deformation induced by normal fault creep, and verified the scientific validity and applicability of the model.
[0025] Specifically, such as Figure 1 As shown, the method for predicting surface deformation induced by creep of hidden active faults in this plain area includes the following steps S10-S30.
[0026] S10: Obtain basic data from geological drilling, geophysical exploration, and field geological surveys; based on the basic data, determine the spatial distribution pattern of major concealed active faults and the distribution pattern of geological hazards in the plain area; select at least one concealed normal fault as the analysis object; and construct a three-dimensional simplified geological model of the concealed normal fault and its adjacent area.
[0027] In this embodiment, based on the Okada finite rectangular dislocation model, a typical concealed normal fault in the plain area is selected for analysis. The simplified three-dimensional geological model of the concealed normal fault and its adjacent area is as follows: Figure 2 As shown, the PSGRN / PSCMP program was used to calculate the surface deformation induced by fault creep, and the surface deformation characteristics around the fault were studied. Figure 3 As shown.
[0028] S20: Based on a simplified three-dimensional geological model, using the fracture creep rate as the displacement boundary condition, the vertical deformation of the surface induced by the creep of the concealed normal fault is simulated and calculated, the characteristics of the vertical deformation of the surface are obtained, and the surface deformation zone is divided from the concealed normal fault.
[0029] The study revealed that the vertical surface deformation induced by the creep of the three concealed active faults all exhibited distinct zonation characteristics, which can be divided into three zones: Zone I on the footwall, Zone II with significant deformation near the fault, and Zone III on the hanging wall. Figure 4 As shown.
[0030] like Figure 5 , Figure 6 and Figure 7 As shown, this embodiment further found through numerical fitting that the vertical deformation of the surface in zones I and III and the distance from the fault conform to the Exponential model, while the vertical deformation of the surface in zone II and the distance show an inverse "S" curve distribution, which conforms to the DoseResp model.
[0031] Based on the distribution characteristics and calculated data of surface deformation zones, the maximum influence range of zones I and III (stabilizing zones) is as follows: Zone I (footwall) is 2.0–10.0 km from the fault surface trace line, and Zone III (hanging block) is 2.5–14.0 km from the fault surface trace line. The maximum influence range of zone II (significant deformation zone) is within 2.5 km of both the footwall and hanging block of the fault surface trace line.
[0032] S30: Based on the division of surface deformation zones, according to the fault dip angle , creeping time and creep rate The influence of the spatial distribution of surface vertical deformation is investigated, and a prediction model for surface vertical deformation induced by normal fault creep is constructed. The prediction model is used to predict surface vertical deformation.
[0033] Based on step S20 above, and combined with the geological characteristics of the fracture, a prediction model for surface deformation induced by fracture creep is fitted and constructed.
[0034] The prediction model uses the following formula to make predictions in zones I and III: in, To calculate the distance from the point to the fault surface trace, It is a natural constant. , and To match the fault dip angle , creeping time and creep rate The relevant first fitted variable, second fitted variable, and third fitted variable.
[0035] For Zone II, the vertical deformation of the ground surface The prediction formula is: in, and To match the fault dip angle , creeping time and creep rate The relevant fourth and fifth fitted variables, The center of the fitted curve is denoted by , which is a fitting constant. The slope is the Hill slope, which is also a fitting constant.
[0036] Each fitted variable ( , , , , ) and fault dip angle , creeping time creep rate Closely related. Specifically, the formula for calculating the first fitted variable C is: in, , and These are the first fitting constant, the second fitting constant, and the ninth fitting constant, respectively.
[0037] Second fitted variable The calculation formula is: in, and These are the third and fourth fitting constants, respectively.
[0038] Third fitted variable The calculation formula is: in, and These are the fifth and tenth fitting constants, respectively.
[0039] Fourth fitted variable and the fifth fitted variable The calculation formula is: in, , and These are the sixth, seventh, and eighth fitting constants, respectively.
[0040] It should be noted that, ~ , , All vary with the properties of the overlying soil of different faults.
[0041] To verify the reliability of the prediction model, surface deformation fitting analysis was performed on two parallel profiles of each typical fault, followed by inversion correction and secondary verification. The results show that the prediction model constructed using the method described in this application has high reliability, especially within the fault dip angle range of 65°–75°, where the calculated surface deformation results are almost completely consistent with the actual numerical simulation results, with an error within 3%. Figure 8 As shown, this prediction model can effectively reflect the intrinsic relationship between the creep of hidden active faults and surface deformation in the plain area.
[0042] This application also provides a device for predicting surface deformation induced by normal fault creep in plain areas, such as... Figure 9 As shown, the surface deformation prediction device induced by the creep of the hidden active fault in this plain area includes: The parameter acquisition module 901 is configured to acquire basic data from geological drilling, geophysical exploration and field geological surveys, determine the spatial distribution pattern of major concealed active faults and the distribution law of geological hazards in the plain area based on the basic data, select at least one concealed normal fault as the analysis object, and construct a three-dimensional simplified geological model of the concealed normal fault and its adjacent area. The deformation zone delineation module 902 is configured to simulate and calculate the surface vertical deformation induced by the normal fault creep of the concealed normal fault based on the three-dimensional simplified geological model and with the fault creep rate as the displacement boundary condition, so as to obtain the surface vertical deformation characteristics and delineate the surface deformation zone from the concealed normal fault. Deformation prediction module 903 is configured to be based on the divided surface deformation zones, according to the fault dip angle. , creeping time and creep rate The influence of the spatial distribution of vertical surface deformation is investigated, and a prediction model for vertical surface deformation induced by normal fault creep is constructed; the prediction model is used to predict vertical surface deformation.
[0043] This application provides an electronic device. The electronic device may include a processor and a memory, wherein the processor and the memory can communicate; exemplarily, the processor and the memory communicate via a communication bus.
[0044] The processor executes computer execution instructions stored in memory, causing the processor to perform the scheme in the above embodiments. The processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.
[0045] The communication bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The system bus can be divided into address bus, data bus, control bus, etc. Transceivers are used to enable communication between database access devices and other computers (e.g., clients, read-write libraries, and read-only libraries). Memory may include random access memory (RAM) and may also include non-volatile memory.
[0046] The electronic device provided in this application embodiment can be the terminal device described in the above embodiments.
[0047] This application also provides a computer-readable storage medium storing computer instructions. When the computer instructions are executed on a computer, the computer performs the technical solution of the above-described method for predicting surface deformation induced by normal fault creep in plain areas.
[0048] This application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium. At least one processor can read the computer program from the computer-readable storage medium. When the at least one processor executes the computer program, it can implement the technical solution of the method for predicting surface deformation induced by normal fault creep in plain areas as described in the above embodiments.
[0049] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or modules, and may be electrical, mechanical, or other forms.
[0050] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to implement the solution of this embodiment according to actual needs.
[0051] Furthermore, the functional modules in the various embodiments of this application can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit. The unit composed of the above modules can be implemented in hardware or in the form of hardware plus software functional units.
[0052] The integrated modules described above, implemented as software functional modules, can be stored in a computer-readable storage medium. These software functional modules, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute some steps of the methods of the various embodiments of this application.
[0053] It should be understood that the aforementioned processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly manifested as execution by a hardware processor, or execution by a combination of hardware and software modules within the processor.
[0054] The memory may include high-speed RAM, and may also include non-volatile storage (NVM), such as at least one disk storage device, and may also be a USB flash drive, external hard drive, read-only memory, disk or optical disc, etc.
[0055] Buses can be Industry Standard Architecture (ISA) buses, Peripheral Component Interconnect (PCI) buses, or Extended Industry Standard Architecture (EISA) buses, etc. Buses can be categorized into address buses, data buses, control buses, etc.
[0056] The aforementioned storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer.
[0057] An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Alternatively, the storage medium can be an integral part of the processor. The processor and storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and storage medium can exist as discrete components in an electronic control unit or main control device.
[0058] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.
[0059] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.
Claims
1. A method for predicting surface deformation induced by normal fault creep in plain areas, characterized in that, The method includes: Obtain basic data from geological drilling, geophysical exploration, and field geological surveys. Based on the basic data, determine the spatial distribution pattern of major concealed active faults and the distribution pattern of geological hazards in the plain area. Select at least one concealed normal fault as the analysis object and construct a three-dimensional simplified geological model of the concealed normal fault and its adjacent area. Based on the three-dimensional simplified geological model, using the fracture creep rate as the displacement boundary condition, the vertical deformation of the surface induced by the normal fault creep of the concealed normal fault is simulated and calculated, the characteristics of the vertical deformation of the surface are obtained, and the surface deformation zone is divided from the concealed normal fault. Based on the division of surface deformation zones, according to the fault dip angle , creeping time and creep rate The influence of the spatial distribution of vertical surface deformation is investigated, and a prediction model for vertical surface deformation induced by normal fault creep is constructed; the prediction model is used to predict vertical surface deformation.
2. The method for predicting surface deformation induced by creep of concealed active faults in plain areas according to claim 1, characterized in that, The surface deformation zones are divided from the concealed normal fault into stable deformation zones and significant deformation zones. The stable deformation zones include Zone I and Zone III, and the significant deformation zones include Zone II near the fault. The maximum influence range of Zone I is 2.0 to 10.0 km from the fault surface trace, the maximum influence range of Zone III is 2.5 to 14.0 km from the fault surface trace, and the maximum influence range of Zone II is within 2.5 km of both the hanging wall and footwall of the fault surface trace.
3. The method for predicting surface deformation induced by creep of concealed active faults in plain areas according to claim 2, characterized in that, The prediction model employs different formulas for predicting vertical surface deformation for different surface deformation zones: For zones I and III, vertical deformation of the earth's surface The prediction formula is: in, To calculate the distance from the point to the fault surface trace, It is a natural constant. , and To match the fault dip angle , creeping time and creep rate The relevant first, second, and third fitted variables; For Zone II, the vertical deformation of the ground surface The prediction formula is: in, and To match the fault dip angle , creeping time and creep rate The relevant fourth and fifth fitted variables, The center of the fitted curve is... Let be the Hill slope.
4. The method for predicting surface deformation induced by normal fault creep in plain areas according to claim 3, characterized in that, The formula for calculating the first fitted variable C is: in, , and These are the first fitting constant, the second fitting constant, and the ninth fitting constant, respectively.
5. The method for predicting surface deformation induced by creep of concealed active faults in plain areas according to claim 3, characterized in that, The second fitted variable The calculation formula is: in, and These are the third and fourth fitting constants, respectively.
6. The method for predicting surface deformation induced by creep of concealed active faults in plain areas according to claim 3, characterized in that, The third fitted variable The calculation formula is: in, and These are the fifth and tenth fitting constants, respectively.
7. The method for predicting surface deformation induced by creep of concealed active faults in plain areas according to claim 3, characterized in that, The fourth fitting variable and the fifth fitted variable The calculation formula is: in, , and These are the sixth, seventh, and eighth fitting constants, respectively.
8. A device for predicting surface deformation induced by normal fault creep in plain areas, characterized in that, The device includes: The parameter acquisition module is configured to acquire basic data from geological drilling, geophysical exploration, and field geological surveys. Based on the basic data, it determines the spatial distribution pattern of major concealed active faults and the distribution law of geological hazards in the plain area, selects at least one concealed normal fault as the analysis object, and constructs a three-dimensional simplified geological model of the concealed normal fault and its adjacent area. The deformation zone delineation module is configured to simulate and calculate the surface vertical deformation induced by the normal fault creep of the concealed normal fault based on the three-dimensional simplified geological model and with the fault creep rate as the displacement boundary condition, so as to obtain the surface vertical deformation characteristics and delineate the surface deformation zone from the concealed normal fault. The deformation prediction module is configured to be based on the divided surface deformation zones, according to the fault dip angle. , creeping time and creep rate The influence of the spatial distribution of vertical surface deformation is investigated, and a prediction model for vertical surface deformation induced by normal fault creep is constructed; the prediction model is used to predict vertical surface deformation.
9. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes the computer execution instructions stored in the memory to implement the method for predicting surface deformation induced by normal fault creep in plain areas as described in any one of claims 1-7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method for predicting surface deformation induced by normal fault creep in plain areas as described in any one of claims 1-7.