Multi-parameter monitoring method for reservoir slope stability

Abstract

The invention discloses a multi-parameter monitoring method for reservoir slope stability, which belongs to the technical field of reservoir slope safety. Before the reservoir is filled with water, a multi-parameter monitoring instrument that can simultaneously monitor the three-dimensional stress, pore water pressure and water temperature of the slope rock and soil body is pre-installed in the slope rock and soil body that will be submerged by the reservoir, and the three-dimensional stress, pore water pressure and water temperature of the slope rock and soil body are continuously measured 30 days before and 30 days after the reservoir is filled with water, respectively, and the variation coefficients of the three-dimensional stress, pore water pressure and water temperature of the slope rock and soil body before and after the reservoir is filled with water are calculated, and thus the variation coefficients of the three-dimensional stress, pore water pressure and water temperature of the slope rock and soil body when the slope is in a stable state are determined; then the three-dimensional stress, pore water pressure and water temperature of the slope rock and soil body are monitored in real time, and the dynamic variation coefficients of the three-dimensional stress, pore water pressure and water temperature are calculated, and compared with the reference value, so as to evaluate the stability of the reservoir slope, and the method is simple, convenient, practical and efficient.

Description

Technical Field

[0001] The invention relates to a multi-parameter monitoring method for reservoir slope stability, belonging to the technical field of reservoir slope safety. Background Art

[0002] The stability of the reservoir slope is an important guarantee for the normal operation of the reservoir. Landslides on the reservoir bank pose a great threat to the safety of the reservoir area. The mud, sand and rocks produced by the landslides will cause the capacity of the reservoir to be reduced. If the landslide speed is too fast, the soil and rocks pouring into the reservoir will cause huge waves, affecting the normal operation of the hydropower station.

[0003] After the water is stored, the water level in the reservoir gradually rises. The water pressure increases, which leads to the stress inside the slope rock and soil (horizontal stress σ X , σ y and vertical stress σ z ) changes, and the original equilibrium state is broken. At the same time, the mechanical properties of the internal structure of the rock and soil will also change. Under the influence of multiple factors such as water pressure, pore pressure, pore water temperature, etc., once the slope rock and soil cannot maintain its own stability, landslides will inevitably form, seriously threatening the safe production of the hydropower station. Therefore, timely and accurate monitoring of the stability of the slope rock and soil is of great significance to ensure the safety of the reservoir area.

[0004] At present, the evaluation method of reservoir slope stability is mainly to drill holes in the unsubmerged part of the slope that is prone to landslides, and predict the slope stability by monitoring the slippage of the unsubmerged slope. This method has the advantages of being intuitive and highly applicable. However, landslides usually occur due to changes in stress after rock and soil are soaked in water, which in turn causes the rock and soil of the slope to slip. The change in slope stress usually precedes the change in slope displacement. When the stress change rate changes greatly, it indicates that the slope is in a critical instability state. At this time, even if the landslide is predicted by the displacement of the slope, there is not much time left for monitoring personnel and management personnel to respond to emergencies, and it is impossible to effectively prevent and control reservoir bank landslide accidents in advance.

[0005] Therefore, inventing a real-time dynamic monitoring method for reservoir slope stability based on changes in triaxial stress, pore water pressure and water temperature of rock and soil is of great significance to ensuring the safe operation of the reservoir. Summary of the invention

[0006] The purpose of the present invention is to solve the deficiencies in the above-mentioned technology and to provide a multi-parameter monitoring method for reservoir slope stability. The method is simple to operate and can detect changes in slope stability earlier by monitoring and analyzing changes in the physical and mechanical parameters of the slope rock and soil: triaxial stress, pore water pressure and water temperature. This is of great significance for ensuring the stability and safety of the slope and avoiding the occurrence of landslide accidents.

[0007] To achieve the above object, a multi-parameter monitoring method for reservoir slope stability of the present invention comprises the following steps:

[0008] a. During the construction of the reservoir, multiple measuring points are arranged at intervals on the slope of the reservoir bank in advance;

[0009] b. At each measuring point, a borehole is constructed horizontally into the rock and soil of the reservoir bank slope. A multi-parameter monitor capable of simultaneously monitoring the three-dimensional stress, pore water pressure and water temperature of the slope rock and soil is installed in each borehole. Then, the borehole mouth section is grout-filled to form a sealed hole section. All multi-parameter monitors are sequentially connected to a data acquisition instrument and a computer through signal lines extending out of the borehole. The data acquisition instrument measures and records the three-dimensional stress, pore water pressure and water temperature at different measuring points of the slope in real time, and the computer stores and analyzes the above measurement data.

[0010] c. Starting 30 days before the reservoir is filled with water, the data collector is used to collect the monitoring values ​​of triaxial stress, pore water pressure P1 and water temperature T1 sent by each multi-parameter monitor in 30 days, and all the information is stored according to the multi-parameter monitors at different measuring points and different dates. The triaxial stress of the multi-parameter monitor includes horizontal stress σ x1 , horizontal stress σ y1 and vertical stress σ z1 ;

[0011] d. After the reservoir is filled with water, the data collector is used to collect the three-dimensional stress, pore water pressure P2 and water temperature T2 monitoring values ​​sent by each multi-parameter monitor for 30 days, and all the information is stored according to the multi-parameter monitors at different measuring points and different dates. The three-dimensional stress of the multi-parameter monitor includes the horizontal stress σ x2 , horizontal stress σ y2 and vertical stress σ z2 ;

[0012] e. The computer uses formula I to calculate the variation coefficients of the three-dimensional stresses obtained at each measuring point on the reservoir bank slope before and after water storage, including the horizontal stress variation coefficient k X , horizontal stress variation coefficient k Y and the vertical stress variation coefficient k Z , use formula II to calculate the coefficient of variation k of the pore water pressure at each measuring point on the reservoir bank slope P , use formula III to calculate the variation coefficient k of the pore water temperature at each measuring point on the reservoir bank slope T ;

[0013]

[0014]

[0015]

[0016] f. Determine the range of variation coefficients of triaxial stress, pore water pressure and water temperature at each measuring point on the slope of the reservoir area, including the triaxial stress variation coefficient k X , k Y , k Z The range (k Xmin , k xmax )、(k Ymin , k Ymax )、(k Zmin , k Zmax ) ; Pore water pressure variation coefficient k P The range (k Pmin , k Pmax ), pore water temperature variation coefficient k T The range (k Tmin , k Tmax );

[0017] g. Define the reference value of the horizontal stress variation coefficient in the X-axis direction of each measuring point when the bank slope is in a stable state as k. X0 =1.5k Xmax ; The reference value of stress change rate in the Y-axis direction is k Y0 =1.5k Ymax ; The reference value of the stress change rate in the Z-axis direction is k Z0 =1.5k Zmax ; Base value of pore water pressure variation coefficient k P0 =1.5k Pmax ; The base value of the pore water temperature variation coefficient is k T0 =1.5k Tmax ; and input each reference value into the computer as a judgment standard;

[0018] h. After the reservoir is put into use, the data collector collects the three-dimensional stress of each measuring point on the reservoir bank slope in real time: horizontal stress σ′ X , horizontal stress σ′ Y and vertical stress σ′ Z , pore water pressure P′ and water temperature T′, the computer uses formula IV to calculate the dynamic change coefficient of the three-dimensional stress at each measuring point on the reservoir bank slope: horizontal stress dynamic change coefficient k′ X , horizontal stress dynamic variation coefficient k′ Y and the vertical stress dynamic variation coefficient k′ Z , use formula V to calculate the dynamic change coefficient k′ of pore water pressure P , use formula VI to calculate the dynamic change coefficient k′ of pore water temperature T .

[0019]

[0020]

[0021]

[0022] i. The computer calculates the dynamic change coefficient of the three-dimensional stress at each measuring point: the dynamic change coefficient of horizontal stress k' X , horizontal stress dynamic variation coefficient k′ Y and the vertical stress dynamic variation coefficient k′ Z , dynamic variation coefficient of pore water pressure k′ P , dynamic change coefficient of pore water temperature k′ T The results are compared with the respective variation coefficient reference values, and the state of the reservoir bank slope is judged based on the comparison results, and the slope is processed in time according to the detection status.

[0023] Furthermore, the multi-parameter monitor integrates a three-dimensional stress sensor, a pore water pressure sensor and a pore water temperature sensor into one, and the three-dimensional stress, pore water pressure and water temperature of the slope rock and soil body can be monitored simultaneously through the multi-parameter monitor.

[0024] Furthermore, the three-axis stress sensor includes a high-pressure oil pump, which is respectively connected to the X-axis spring clip, the Y-axis spring clip and the Z-axis spring clip arranged in the drill hole through high-pressure oil pipes. When in use, the high-pressure oil pump applies initial stress to the X-axis spring clip, the Y-axis spring clip and the Z-axis spring clip and then can be closed.

[0025] Furthermore, the measuring points are spaced 100 m horizontally and 20 m vertically, and as the water storage range of the reservoir increases, new measuring points are added to the slope in a timely manner to ensure that a larger range of the reservoir slope is detected.

[0026] Furthermore, based on the multi-parameter monitoring results, the reservoir slope stability is divided into four levels: stable, metastable, critically stable and unstable. According to the stability level of the reservoir slope, different emergency management measures should be taken, such as strengthening monitoring, constructing anti-slide piles and grouting reinforcement, and evacuating personnel:

[0027] Specifically:

[0028] When the reservoir slope satisfies the three-dimensional stress dynamic variation coefficient k′ X , k′ Y and k′ Z are all smaller than the corresponding stress variation coefficient reference value k X0 , k Y0 , k Z0 , dynamic variation coefficient of pore water pressure k′ P Less than the water pressure change rate reference value k P0 , dynamic variation coefficient of pore water temperature k′ T Less than the water temperature variation coefficient reference value k T0When these three conditions are met, the reservoir slope is judged to be in a stable state;

[0029] When the stress dynamic variation coefficient k′ X , k′ Y and k′ Z , dynamic variation coefficient of pore water pressure k′ P , dynamic variation coefficient of pore water temperature k′ T When any value in is greater than the corresponding reference value of the coefficient of variation, the reservoir slope is judged to be in a metastable state; at this time, the monitoring of the reservoir slope stability should be strengthened.

[0030] When the stress dynamic variation coefficient k′ X , k′ Y and k′ Z , dynamic variation coefficient of pore water pressure k′ P , dynamic variation coefficient of pore water temperature k′ T When any two values ​​in are greater than the corresponding reference values ​​of the coefficient of variation, the reservoir slope is judged to be in a critical stability state; at this time, anti-slide piles or grouting reinforcement should be constructed on the reservoir slope.

[0031] When the stress dynamic variation coefficient k′ X , k′ Y and k′ Z , dynamic variation coefficient of pore water pressure k′ P , dynamic variation coefficient of pore water temperature k′ T When any three or more values ​​in are greater than the corresponding reference value of the coefficient of variation, the reservoir slope is judged to be in an unstable state; at this time, personnel within the range affected by the slope instability should be evacuated in time to prevent personal injury or death accidents.

[0032] Beneficial effects:

[0033] This method is based on the characteristics of the changing physical and mechanical properties of the slope rock and soil stress, pore water pressure, pore water temperature and other characteristics of the slope stability before and after the reservoir is filled with water. Through the real-time continuous changes in the three-dimensional stress, pore water pressure and water temperature of the slope rock and soil, it can dynamically monitor the stability of the reservoir slope in real time, and take timely measures to control the safety risks of the reservoir bank slope according to the degree of slope stability. This method is simple and convenient, practical and efficient, and can realize the early detection of changes in the stability of the reservoir slope, as well as real-time dynamic multi-parameter monitoring and hierarchical control. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 1 is a schematic diagram of an embodiment of a multi-parameter monitoring method for reservoir slope stability of the present invention;

[0035] Figure 2 It is a schematic diagram of the arrangement of drilling holes in the reservoir slope of the present invention;

[0036] Figure 3 It is a structural schematic diagram of a multi-parameter monitor used in the present invention;

[0037] Figure 4 It is a schematic flow chart of the multi-parameter monitoring method for reservoir slope stability of the present invention.

[0038] In the figure: 1-dam; 2-slope; 3-borehole; 4-multi-parameter monitor; 5-data acquisition instrument; 6-computer; 7-high-pressure oil pump; 8-1-X-direction spring clip; 8-2-Y-direction spring clip; 8-3-Z-direction spring clip; 9-high-pressure oil pipe; 10-grouting section; 11-pore water pressure sensor; 12-pore water temperature sensor. DETAILED DESCRIPTION

[0039] The embodiments of the present invention will be further described below in conjunction with the accompanying drawings:

[0040] The designed flooding height of the reservoir is 50m. Slope 2 is sandy mudstone, shale and clay with a slope of 36°-45°. After the reservoir is filled with water, the stability of the slope rock and soil is expected to change significantly as the water level rises and changes. Taking the slope stability monitoring of the reservoir as an example,

[0041] like Figure 4 As shown, a multi-parameter monitoring method for reservoir slope stability of the present invention comprises the following steps:

[0042] Step 1: Before the reservoir is filled with water, four measuring points are arranged on the slope 2 in advance. The horizontal spacing of the measuring points is 100m and the vertical spacing is 20m. Figure 1 and Figure 2 As shown,

[0043] Step 2: construct a borehole 3 at the measuring point, install a multi-parameter monitor 4 that can simultaneously measure three-dimensional stress, pore water pressure and water temperature into the test borehole, then grout the borehole orifice section, and connect the multi-parameter monitor 4 to the data acquisition instrument 5. The multi-parameter monitor 4 includes a three-dimensional stress sensor, including an X-direction spring 8-1, a Y-direction spring 8-2, a Z-direction spring 8-3, a pore water pressure sensor 11 and a pore water temperature sensor 12. The three-dimensional stress sensor is connected to a high-pressure oil pump 7 through a high-pressure oil pipe 9, as shown in FIG. Figure 3 shown.

[0044] Step 3: Starting 30 days before the reservoir is filled with water, the three-dimensional stress (including horizontal stress σ x1 , horizontal stress σ y1 and vertical stress σ z1 . ), pore water pressure P1 and water temperature T1 monitoring values, and store all information according to different measuring points, different dates and times.

[0045] Step 4: After the reservoir is filled with water, continue to use the collector 5 to collect the three-dimensional stress (horizontal stress σ x2 , horizontal stress σ y2 and vertical stress σ z2 ), pore water pressure P2 and water temperature T2 monitoring values ​​for 30 days, and the collected information is transmitted to computer 6.

[0046] Step 5: The computer 6 uses formula I to calculate the variation coefficients of the three-dimensional stresses obtained at each measuring point on the bank slope 2 before and after water storage, including the horizontal stress variation coefficient k X , horizontal stress variation coefficient k Y and the vertical stress variation coefficient k Z , use formula II to calculate the variation coefficient k of the pore water pressure at each measuring point on the reservoir bank slope 2 P , use formula III to calculate the variation coefficient k of the pore water temperature at each measuring point on the reservoir bank slope 2 T ;

[0047]

[0048]

[0049]

[0050] Step 6: Determine the range of variation coefficients of the three-dimensional stress, pore water pressure and water temperature at each measuring point of slope 2, including the three-dimensional stress variation coefficient k X , k Y , k Z The range (k Xmin , k Xmax )、(k Ymin , k Ymax )、(k Zmin , k Zmax ) ; Pore water pressure variation coefficient k P The range (k Pmin , k Pmax ), pore water temperature variation coefficient k T The range (k Tmin , k Tmax ).

[0051] Step 7: Define the reference value of the horizontal stress variation coefficient in the X-axis direction of each measuring point when the bank slope 2 is in a stable state as k X0 =1.5k Xmax ; The reference value of stress change rate in the Y-axis direction is k Y0 =1.5k Ymax ; The reference value of the stress change rate in the Z-axis direction is k Z0 =1.5k Zmax; Base value of pore water pressure variation coefficient k P0 =1.5k Pmax ; The base value of the pore water temperature variation coefficient is k T0 =1.5k Tmax ; and input each reference value into computer 6 as a judgment criterion.

[0052] Step 8: After the reservoir is put into use, the collector 5 dynamically collects the three-dimensional stress of each measuring point of the reservoir bank slope 2 in real time: horizontal stress σ′ X , horizontal stress σ′ Y and vertical stress σ′ Z , pore water pressure P′ and water temperature T′, the computer 6 calculates the dynamic variation coefficient of the three-dimensional stress at each measuring point of the reservoir bank slope 2 using formula IV: horizontal stress dynamic variation coefficient k′ X , horizontal stress dynamic variation coefficient k′ Y and the vertical stress dynamic variation coefficient k′ Z , use formula V to calculate the dynamic change coefficient k′ of pore water pressure P , use formula VI to calculate the dynamic change coefficient k′ of pore water temperature T .

[0053]

[0054]

[0055]

[0056] Step 9: When the reservoir slope 2 satisfies the three-dimensional stress dynamic change coefficient k′ X , k′ Y and k′ Z are all smaller than the corresponding stress variation coefficient reference value k X0 , k Y0 , k Z0 , dynamic variation coefficient of pore water pressure k′ P Less than the water pressure change rate reference value k P0 , dynamic variation coefficient of pore water temperature k′ T Less than the water temperature variation coefficient reference value k T0 When these three conditions are met, it is judged that the reservoir slope 2 is in a stable state.

[0057] When the stress dynamic variation coefficient k′ X , k′ Y and k′ Z , dynamic variation coefficient of pore water pressure k′ P , dynamic variation coefficient of pore water temperature k′ TWhen any value in is greater than the corresponding reference value of the coefficient of variation, it is judged that the reservoir slope 2 is in a metastable state; at this time, the monitoring of the stability of the reservoir slope 2 should be strengthened.

[0058] When the stress dynamic variation coefficient k′ X , k′ Y and k′ Z , dynamic variation coefficient of pore water pressure k′ P , dynamic variation coefficient of pore water temperature k′ T When any two values ​​in are greater than the corresponding reference values ​​of the coefficient of variation, it is judged that the reservoir slope 2 is in a critical stability state; at this time, anti-sliding piles or grouting reinforcement should be constructed on the reservoir slope 2.

[0059] When the stress dynamic variation coefficient k′ X , k′ Y and k′ Z , dynamic variation coefficient of pore water pressure k′ P , dynamic variation coefficient of pore water temperature k′ T When any three or more values ​​in are greater than the corresponding reference value of the coefficient of variation, it is judged that the reservoir slope 2 is in an unstable state; at this time, the personnel within the range affected by the slope instability should be evacuated in time to prevent personal injury accidents.

[0060] According to the multi-parameter monitoring results, the stability of the reservoir slope is divided into four levels: stable, metastable, critically stable and unstable. Based on the stability level of the reservoir slope, different emergency management measures should be taken, such as strengthening monitoring, constructing anti-slide piles, stopping operations and evacuating personnel, to prevent casualties caused by reservoir bank landslides.

Claims

1. A multi-parameter monitoring method for reservoir slope stability, characterized in that: The steps include: a. During the construction of the reservoir (1), multiple measuring points are arranged at intervals on the reservoir bank slope (2); b. At each measuring point, a borehole (3) is constructed horizontally into the rock and soil of the reservoir bank slope (2), and a multi-parameter monitor (4) capable of simultaneously monitoring the three-dimensional stress, pore water pressure and water temperature of the slope rock and soil is installed in each borehole (3), and then the orifice section of the borehole (3) is grout-sealed to form a sealed hole section (10); all multi-parameter monitors (4) are sequentially connected to a data acquisition instrument (5) and a computer (6) via signal lines extending from the borehole (3), wherein the data acquisition instrument (5) respectively measures and records the three-dimensional stress, pore water pressure and water temperature at different measuring points of the slope (2) in real time, and the computer (6) stores and analyzes the above-mentioned measurement data; c. Starting 30 days before the reservoir is filled with water, the data acquisition instrument (5) is used to collect the monitoring values ​​of the three-dimensional stress, pore water pressure P1 and water temperature T1 sent by each multi-parameter monitoring instrument (4) in the past 30 days, and all the information is stored in the form of multi-parameter monitoring instruments (4) at different measuring points and different dates. The three-dimensional stress of the multi-parameter monitoring instrument (4) includes the horizontal stress σ x1 , horizontal stress σ y1 and vertical stress σ z1 ; d. After the reservoir is filled with water, the data acquisition instrument (5) is continued to be used to collect the monitoring values ​​of the three-dimensional stress, pore water pressure P2 and water temperature T2 sent by each multi-parameter monitoring instrument (4) for 30 days, and all the information is stored in the form of multi-parameter monitoring instruments (4) at different measuring points and different dates, wherein the three-dimensional stress of the multi-parameter monitoring instrument (4) includes the horizontal stress σ x2 , horizontal stress σ y2 and vertical stress σ z2 ; e. The computer (6) uses formula I to calculate the variation coefficients of the three-dimensional stresses obtained at each measuring point of the reservoir bank slope (2) before and after water storage, including the horizontal stress variation coefficient k X , horizontal stress variation coefficient k Y and the vertical stress variation coefficient k Z , use formula II to calculate the variation coefficient k of the pore water pressure at each measuring point on the reservoir bank slope (2) P , use formula III to calculate the variation coefficient k of the pore water temperature at each measuring point on the reservoir bank slope (2) T ; f. Determine the range of variation coefficients of the three-dimensional stress, pore water pressure and water temperature at each measuring point on the slope of the reservoir area (2), including the three-dimensional stress variation coefficient k X , k Y , k Z The range (k Xmin , k Xmax )、(k Ymin , k Ymax )、(k Zmin , k Zmax ) ; Pore water pressure variation coefficient k P The range (k Pmin , k Pmax ), pore water temperature variation coefficient k T The range (k Tmin , k Tmax ); g. Define the reference value of the horizontal stress variation coefficient in the X-axis direction of each measuring point when the bank slope (2) is in a stable state as k X0 =1.5k Xmax ; The reference value of stress change rate in the Y-axis direction is k Y0 =1.5k Ymax ; The reference value of the stress change rate in the Z-axis direction is k Z0 =1.5k Zmax ; Base value of pore water pressure variation coefficient k P0 =1.5k Pmax ; The base value of the pore water temperature variation coefficient is k T0 =1.5k Tmax ; and input each reference value into a computer (6) as a criterion; h. After the reservoir is put into use, the data collector (5) dynamically collects the three-dimensional stress of each measuring point on the reservoir bank slope (2) in real time: horizontal stress σ′ X , horizontal stress σ′ Y and vertical stress σ′ Z , pore water pressure P' and water temperature T', the computer (6) uses formula IV to calculate the dynamic change coefficient of the three-dimensional stress at each measuring point of the reservoir bank slope (2): horizontal stress dynamic change coefficient k' X , horizontal stress dynamic variation coefficient k' Y and the vertical stress dynamic variation coefficient k' Z , use formula V to calculate the dynamic change coefficient k' of pore water pressure P , use formula VI to calculate the dynamic change coefficient k' of pore water temperature T； i. The computer (6) calculates the dynamic change coefficient of the three-dimensional stress at each measuring point: the dynamic change coefficient of the horizontal stress k' X , horizontal stress dynamic variation coefficient k' Y and the vertical stress dynamic variation coefficient k' Z , dynamic variation coefficient of pore water pressure k' P , dynamic change coefficient of pore water temperature k' T The respective variation coefficient reference values ​​are compared, and the state of the reservoir bank slope (2) is judged according to the comparison result, and the slope is processed in time according to the detection state.

2. The multi-parameter monitoring method for reservoir slope stability according to claim 1 is characterized in that: The multi-parameter monitor (4) integrates a three-dimensional stress sensor, a pore water pressure sensor (11) and a pore water temperature sensor (12) into one body, and the multi-parameter monitor (4) can simultaneously monitor the three-dimensional stress, pore water pressure and water temperature of the rock and soil mass of the slope (2).

3. The multi-parameter monitoring method for reservoir slope stability according to claim 2 is characterized in that: The three-axis stress sensor comprises a high-pressure oil pump (7), wherein the high-pressure oil pump (7) is respectively connected to an X-axis spring piece (8-1), a Y-axis spring piece (8-2) and a Z-axis spring piece (8-3) arranged in a borehole (3) through a high-pressure oil pipe (9), and when in use, the high-pressure oil pump applies initial stress to the X-axis spring piece (8-1), the Y-axis spring piece (8-2) and the Z-axis spring piece (8-3), and then the high-pressure oil pump can be closed.

4. The multi-parameter monitoring method for reservoir slope stability according to claim 1 is characterized in that: The measuring points are spaced 100 m horizontally and 20 m vertically, and as the reservoir storage area increases, new measuring points are added to the slope (2) in a timely manner to ensure that a larger area of ​​the reservoir slope is tested.

5. The multi-parameter monitoring method for reservoir slope stability according to claim 1 is characterized in that: Based on the multi-parameter monitoring results, the reservoir slope stability is divided into four levels: stable, metastable, critically stable and unstable. According to the stability level of the reservoir slope, different emergency management measures should be taken, such as strengthening monitoring, constructing anti-slide piles and grouting reinforcement, and evacuating personnel: Specifically: When the reservoir slope (2) satisfies the three-dimensional stress dynamic change coefficient k' X , k' Y and k' Z are all smaller than the corresponding stress variation coefficient reference value k X0 , k Y0 , k Z0 , dynamic variation coefficient of pore water pressure k' P Less than the water pressure change rate reference value k P0 , dynamic variation coefficient of pore water temperature k' T Less than the water temperature variation coefficient reference value k T0 When these three conditions are met, the reservoir slope (2) is judged to be in a stable state; When the stress dynamic variation coefficient k' X , k' Y and k' Z , dynamic variation coefficient of pore water pressure k' P , dynamic variation coefficient of pore water temperature k' T When any value in is greater than the corresponding reference value of the coefficient of variation, it is judged that the reservoir slope (2) is in a metastable state; at this time, the monitoring of the stability of the reservoir slope (2) should be strengthened; When the stress dynamic variation coefficient k' X , k' Y and k' Z , dynamic variation coefficient of pore water pressure k' P , dynamic variation coefficient of pore water temperature k' T When any two values ​​in are greater than the corresponding reference values ​​of the coefficient of variation, the reservoir slope is judged to be in a critical stability state; at this time, anti-sliding piles or grouting reinforcement should be constructed on the reservoir slope (2); When the stress dynamic variation coefficient k' X , k' Y and k' Z , dynamic variation coefficient of pore water pressure k' P , dynamic variation coefficient of pore water temperature k' T When any three or more values ​​in are greater than the corresponding reference value of the coefficient of variation, the reservoir slope is judged to be in an unstable state; at this time, personnel within the range affected by the slope instability should be evacuated in time to prevent personal injury or death accidents.

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