CN112085921B - Landslide comprehensive monitoring and early warning method based on displacement and power multi-parameter - Google Patents

Landslide comprehensive monitoring and early warning method based on displacement and power multi-parameter Download PDF

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CN112085921B
CN112085921B CN202010844131.3A CN202010844131A CN112085921B CN 112085921 B CN112085921 B CN 112085921B CN 202010844131 A CN202010844131 A CN 202010844131A CN 112085921 B CN112085921 B CN 112085921B
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displacement
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rate
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CN112085921A (en
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刘洪华
贺可强
张袆袆
高啸峰
杨忠年
徐红兵
王忠胜
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Qingdao Geological Mining Rock And Soil Engineering Co ltd
Qingdao University of Technology
Qingdao Geological Engineering Survey Institute
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Qingdao Geological Mining Rock And Soil Engineering Co ltd
Qingdao University of Technology
Qingdao Geological Engineering Survey Institute
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Abstract

The invention relates to a landslide comprehensive monitoring and early warning method based on displacement and power multiparameters, which belongs to the technical field of slope engineering stability evaluation and landslide geological disaster monitoring and early warning, and comprises the monitoring and preprocessing of slope displacement, trailing edge cracks, underground water level and slope body water content data; selecting and determining key parameters of different displacements of the side slope; selecting and determining different power key parameters of the side slope; the method comprises the steps of determining stability evaluation parameters of different-position moving forces of the side slope, determining critical values of the stability evaluation parameters of the different-position moving forces of the side slope, determining the stability membership degree of each moving force parameter of the side slope, determining the stability weight of each moving force parameter, determining the monitoring and early warning parameters of the side slope and monitoring and early warning the stability of the side slope, and evaluating the stability of the side slope by determining the comprehensive membership degree of various displacement dynamic key parameters of the displacement rate of the side slope, the displacement vector angle, the trailing edge crack, the underground water level and the water content of the slope.

Description

Landslide comprehensive monitoring and early warning method based on displacement and power multi-parameter
Technical Field
The invention relates to a comprehensive landslide monitoring and early warning method based on displacement and power multiparameters, in particular to a method for constructing and determining slope displacement and power multiparameter comprehensive membership and sequentially establishing slope stability evaluation and monitoring and early warning, belonging to the technical field of slope engineering stability evaluation and landslide geological disaster monitoring and early warning.
Background
Landslide is one of geological disasters with serious harmfulness and destructiveness, and scientific monitoring, prediction and forecast of stability are the basis and the premise of landslide disaster monitoring and early warning and disaster prevention and reduction engineering. At present, in landslide geological disaster prediction and evaluation methods, a limit balance method and a displacement time sequence prediction method are always main methods adopted in the evaluation design of slope engineering and landslide prediction, and play an important role in various engineering practices. The limit balance method is based on the rigid body limit balance theory, simplifies the landslide, analyzes the mechanical balance state of the landslide along the sliding surface, and determines the stability coefficient F of the landslide body through the downward sliding force and the anti-sliding force s To predict the stability of the landslide. The evaluation method has a definite instability criterion, namely a stability coefficient F s =1, is a method commonly used in landslide stability analysis. However, the deformation coordination relationship is not considered in the method, the mechanical evaluation model is a static evaluation model irrelevant to time, and the change rule of the slope stability along with the time cannot be evaluated, so that the method has no limitation of monitoring, early warning and evaluating the dynamic stability in the aspect of landslide stability evaluation. The displacement time sequence prediction method is based on the monitored evolution of the slope systemThe displacement time sequence of the landslide control system directly utilizes the change of the displacement parameters to evaluate and predict the stability of the landslide. The method comprises a time variation relation and has the advantages of easy implementation and simple operation. However, the method only uses the displacement or displacement rate change rule of the landslide to analyze and evaluate the stability of the side slope, and the evaluation model cannot scientifically reflect the cause of the displacement or displacement rate change of the landslide, cannot establish a complete and unified criterion of the destabilization displacement and displacement rate of the side slope, and cannot scientifically evaluate and prevent the stability of the side slope based on the landslide mechanism.
Aiming at the defects and limitations of the traditional slope stability evaluation method, the invention provides a method for evaluating the slope stability by utilizing displacement and power multi-parameter comprehensive membership by using a fuzzy mathematics basic theory, and comprehensively monitors and warns the overall slope stability, so that the defects of the traditional slope stability evaluation theory and method are overcome. The method has the characteristics of strong operability, high accuracy and strong stability, and has very important application value in slope stability evaluation and monitoring early warning.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a landslide comprehensive monitoring and early warning method based on displacement and power multi-parameter.
The technical scheme for solving the technical problems is as follows:
a landslide comprehensive monitoring and early warning method based on displacement and power multi-parameter comprises the following steps:
step one, monitoring and preprocessing slope displacement, trailing edge crack, underground water level and slope body water content data
1) Carrying out preliminary survey and mapping on the side slope, determining the distribution range and size of the side slope, the length of the trailing edge wall and other characteristics, and setting monitoring points and datum points at key points such as a main sliding area, a trailing edge crack, a shearing outlet and the like;
2) Arrangement and installation of monitoring equipment;
3) Preprocessing monitoring data;
selecting and determining different displacement key parameters of the side slope;
selecting a displacement key parameter capable of reflecting the change of the integral stability of the side slope: the displacement rate, the displacement vector angle and the trailing edge crack are used as slope stability evaluation indexes;
step three, selecting and determining different power key parameters of the side slope;
selecting power key parameters capable of reflecting the overall stability change of the side slope: the underground water level and the slope body water content are used as slope stability evaluation indexes;
step four, determining stability evaluation parameters of different-position moving forces of the side slope;
1) Determining a displacement rate statistic parameter;
2) Determining a displacement vector angle statistic parameter;
3) Determining the change rate of the trailing edge crack communication rate;
4) Determining the change rate of the underground water level;
5) Determining the change rate of the water content of the slope body;
determining a critical value of evaluation parameters of the stability of different-position moving forces of the side slope;
1) Determining a slope displacement rate critical statistic parameter;
2) Determining a slope displacement vector angle critical statistic parameter;
3) Determining a critical value of the change rate of the trailing edge crack communication rate;
4) Determining a critical value of the underground water level change rate;
5) Determining a slope water content change rate critical value;
step six, determining the degree of membership of the stability of each position of the moving force parameter of the side slope;
1) Respectively determining membership functions of evaluation parameters of the slope displacement rate, the displacement vector angle, the trailing edge crack, the underground water level and the slope water content rate;
2) According to the membership function, determining slope stability membership of displacement rate, displacement vector angle, trailing edge crack, underground water level and slope water content at any moment;
seventhly, determining the stability weight of each movement force parameter;
because the influence degrees of all the parameters on the slope stability are different, the weight of all the parameters is calculated by an improved analytic hierarchy process;
step eight, determining slope monitoring early warning parameters and monitoring and early warning the stability of the slope monitoring early warning parameters;
1) Determining slope stability comprehensive monitoring and early warning parameters, performing weighted calculation on slope displacement rate, displacement vector angle, trailing edge cracks, underground water level and slope water content membership degree, and determining slope multi-parameter stability comprehensive membership degree;
2) According to the slope stability comprehensive monitoring and early warning parameters and the relation between the slope stability comprehensive monitoring and early warning parameters and the slope stability, different slope stability monitoring and early warning values can be determined, and the slope stability is monitored and early warned.
Further, in the step one, the step of setting monitoring points and reference points at key points such as main sliding areas, trailing edge cracks and shearing outlets is as follows: (1) selecting m monitoring points arranged on the main sliding surface of the monitored side slope corresponding to the slope surface, and uniformly arranging the monitoring points on the slope surface at equal intervals from the trailing edge wall to the leading edge shear outlet according to the actual topography of the slope surface to form a monitoring network; (2) selecting at least 3 points with good geological conditions and stable point positions as monitoring reference points in a stable bedrock or deformation-free area outside a landslide body to form a control network, and ensuring self-checking and controlling comprehensive monitoring of side slope monitoring points;
the arrangement and installation steps of the monitoring equipment are as follows: (1) GPS displacement monitoring equipment is arranged at the monitoring point and the monitoring reference point, so that the slope displacement monitoring equipment is tightly connected with the surface of the landslide body, and the deformation of the surface of the slope body can be accurately reflected; (2) drilling at each monitoring point of the side slope, wherein the drilling depth is below the basement rock surface or the underground water level of the slope in the past year, so that the underground water level can be monitored in any time period after the monitoring equipment is arranged; a pressure type water level meter is arranged at the bottom of the drill hole, and an additional air pressure compensation device is arranged on the slope surface at the same time, so that the change of the underground water level is monitored; (3) respectively arranging soil moisture sensors at the junction of the bedrock surface and the upper soil layer at each monitoring point and 0.5m below the surface of the slope body, wherein the total number of the soil moisture sensors is 2 x m, and the soil moisture sensors are used for reflecting the change condition of the water content of the slope body of the side slope in real time; (4) the method comprises the following steps of (1) measuring the cracks on the rear edge of the side slope by adopting a manual measurement method, numbering each crack, measuring by using a steel ruler, and recording data once every two days;
preprocessing monitoring data: and (4) classifying and preprocessing the vertical displacement, the horizontal displacement, the underground water level, the slope body water content and the length of each trailing edge crack at the m monitored monitoring points, and recording an Excel table.
Further, the determination of the displacement rate in the second step
According to each monitoring point k =1,2, \8230, m at i time i =1,2, \8230, n is horizontally displaced
Figure BDA0002642458170000051
And vertical displacement
Figure BDA0002642458170000052
And (3) monitoring data, and solving the displacement rate of each monitoring point at the moment i:
Figure BDA0002642458170000053
wherein the content of the first and second substances,
Figure BDA0002642458170000054
respectively the horizontal displacement of the kth monitoring point of the slope at the time i and the time i-1;
Figure BDA0002642458170000055
vertical displacement of the kth monitoring point of the side slope at the time i and the time i-1 respectively; t is the time interval between the time i and the time i-1;
i =1,2, \8230atthe ith time of the slope, n monitoring points k =1,2, \8230, the mean value of the m displacement rate is determined by the arithmetic mean value of the displacement rate of each monitoring point, as shown in the formula (2)
Figure BDA0002642458170000056
Determining the displacement vector angle in the second step
According to equation (3), determining the displacement vector angle of each monitoring point k =1,2, \8230, m at i instant i =1,2, \8230, n:
Figure BDA0002642458170000057
the slope ith time i =1,2, \8230, n monitoring points k =1,2, \8230, the average value of the m displacement vector angle is determined by the arithmetic average value of the displacement vector angles of the monitoring points, as shown in formula (4)
Figure BDA0002642458170000058
Determining the length of the trailing edge crack in step two
Determining the length L of the trailing edge wall of the side slope through surveying and mapping, wherein the length of the trailing edge crack is determined according to the formula (5):
Figure BDA0002642458170000061
wherein C is the total length of the trailing edge crack; f is the number of the rear edge cracks; c. C i The length of each trailing edge crack.
Further, determination of ground water level in said third step
The underground water level of the side slope is determined by the average value of the actually measured underground water levels at all monitoring points:
Figure BDA0002642458170000062
wherein H is the underground water level of the side slope; m is the number of monitoring points; h is k The underground water level at each monitoring point; determination of slope water content in step three
Respectively monitoring the water content of the junction of the bedrock surface and the upper soil layer corresponding to each monitoring point and the water content of the position 0.5m below the surface of the slope body, wherein the water content of the slope body is determined by the average value of the water content of the slope body at each monitoring point:
Figure BDA0002642458170000063
wherein W is the water content of the slope body; 2m is two soil moisture sensors; wk is the water content of the junction of the basement rock surface and the upper soil layer corresponding to each monitoring point and 0.5m below the surface of the slope body.
Further, the determination of the displacement rate statistic parameter in the fourth step
Calculating a displacement rate statistic parameter as a slope stability evaluation parameter of the displacement rate according to a trend displacement analysis principle;
(1) calculating the average value of the slope displacement rate:
Figure BDA0002642458170000064
wherein the content of the first and second substances,
Figure BDA0002642458170000065
the slope is the displacement rate mean value of each monitoring point at the ith moment i =1,2, \8230;
(2) calculating slope displacement rate statistic parameters:
Figure BDA0002642458170000071
determination of displacement vector angle statistic parameter in step four
Calculating a displacement vector angle statistic parameter as a slope stability evaluation parameter of the displacement vector angle according to a trend displacement analysis principle;
(1) calculating the average value of the slope displacement vector angle:
Figure BDA0002642458170000072
wherein the content of the first and second substances,
Figure BDA0002642458170000073
the slope is the slope ith moment i =1,2, \8230, and the displacement vector angle mean value of each monitoring point n;
(2) calculating the slope displacement vector angle statistic parameters:
Figure BDA0002642458170000074
determination of the rate of change of the trailing edge crack connectivity in step four
Monitoring the development condition of each rear edge crack of the side slope, and determining the change rate of the rear edge crack communication rate of the side slope according to the formula (12):
Figure BDA0002642458170000075
wherein delta is the change rate of the crack communication rate of the rear edge of the side slope; c is the total length of the trailing edge crack; l is the trailing edge wall length;
determination of groundwater level change Rate in step four
The groundwater level change rate is determined by equation (13):
Figure BDA0002642458170000076
wherein ζ is the underground water level change rate; h is the underground water level of the slope at the current moment; ho is the initial underground water level of the side slope;
determination of slope water content change rate in step four
The change rate of the water content of the slope body is determined by the formula (14):
Figure BDA0002642458170000081
wherein eta is the change rate of the water content of the slope body; w is the water content of the slope body at the current moment of the slope; and wo is the initial water content of the side slope.
Further, the critical statistic parameter of the slope displacement rate in the fifth step
Figure BDA0002642458170000082
Is determined
Selecting a certain significance level alpha, and calculating a slope displacement rate critical statistic parameter
Figure BDA0002642458170000083
Figure BDA0002642458170000084
Wherein the content of the first and second substances,
Figure BDA0002642458170000085
for each monitoring point k =1,2, \ 8230;, the average of the m displacement rate statistic parameters,
Figure BDA0002642458170000086
for the displacement rate statistic parameters of each monitoring point,
Figure BDA0002642458170000087
the displacement rate of each monitoring point is an average value;
Figure BDA0002642458170000088
alpha is significance level for the variance of the displacement rate statistic of each monitoring point, 0.05 is taken in the invention,
Figure BDA0002642458170000089
the probability parameter is a probability parameter of the standard normal distribution and can be obtained by checking a standard normal distribution bilateral critical value table;
when slope displacement rate statistic parameter gamma v When the slope is more than or equal to 1, the slope is in a stable state; when slope displacement rate statisticsQuantity parameter gamma v Less than displacement rate critical statistic parameter
Figure BDA0002642458170000091
When the slope moves, the slope tends to move;
step five, critical statistic parameters of slope displacement vector angle
Figure BDA0002642458170000092
Is determined
Selecting a certain significance level alpha, and calculating slope displacement vector angle critical statistic parameters
Figure BDA0002642458170000093
Figure BDA0002642458170000094
Wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0002642458170000095
for each monitoring point k =1,2, \8230, the average value of the m displacement vector angle statistic parameter,
Figure BDA0002642458170000096
for the displacement vector angle statistic parameters of each monitoring point,
Figure BDA0002642458170000097
is the average value of the displacement vector angles of all the monitoring points,
Figure BDA0002642458170000098
the variance of the displacement vector angle statistic of each monitoring point;
when displacement vector angle statistic parameter gamma θ When the displacement vector angle is more than or equal to 1, the side slope is in a stable state, and the parameter gamma is counted when the displacement vector angle θ Less than displacement vector angle critical statistic parameter
Figure BDA0002642458170000099
When the slope is in a trend, the displacement direction changes;
determining a critical value of the change rate of the trailing edge crack communication rate in the fifth step
Since the trailing edge crack is continuously expanded once appearing, the communication rate change rate δ >0, and when the trailing edge crack communication rate change rate δ =0, the slope is in a steady state; when delta is larger than 90%, the side slope is unstable;
determining the underground water level change rate critical value in the fifth step
When the change rate zeta of the groundwater level of the side slope is less than or equal to 0, the side slope is in a stable state; when zeta is greater than 70%, the slope is unstable;
step five, determining the critical value of the change rate of the water content of the slope body
When the change rate eta of the water content of the slope body is less than or equal to 0, the side slope is in a stable state; when the water content of the soil body of the side slope is the saturated water content w p I.e. rate of change of water content of slope body
Figure BDA0002642458170000101
In time, the side slope is unstable;
quantitative criteria for evaluation parameters of slope displacement rate, displacement vector angle, trailing edge cracks, groundwater level and slope water content stability are shown in table 1.
TABLE 1 quantitative criterion for slope stability evaluation parameters
Figure BDA0002642458170000102
Further, the slope displacement rate membership function in the sixth step is:
Figure BDA0002642458170000103
the slope displacement vector angle membership function in the sixth step is as follows:
Figure BDA0002642458170000111
the membership function of the trailing edge crack in the sixth step is as follows:
Figure BDA0002642458170000112
the underground water level membership function in the step six is as follows:
Figure BDA0002642458170000113
and the subordination function of the water content of the slope body in the sixth step is as follows:
Figure BDA0002642458170000114
the improved analytic hierarchy process in the seventh step: if A is as important as B, refer to Table 1, if A is more important than B, refer to Table 2, and if A is not B important, refer to 0;
1) According to the actual conditions of different slopes, an initial judgment matrix is established by utilizing an expert scoring method as shown in table 2, wherein
Figure BDA0002642458170000121
b ij ∈{0,1,2};
TABLE 2 initial decision matrix
Figure BDA0002642458170000122
2) Establishing a final judgment matrix A = (a) according to the following formula ij ) n×n
Figure BDA0002642458170000123
3) Calculating the weight;
the final weight value of each parameter is found from equation (23):
Figure BDA0002642458170000124
wherein the content of the first and second substances,
Figure BDA0002642458170000125
further, the slope multi-parameter stability comprehensive membership degree in the step eight is shown as a formula (24):
M=z v u v +z θ u θ +z c u c +z H u H +z W u W (24)
wherein: m is the comprehensive membership degree of the slope multi-parameter; z is a radical of v 、z θ 、z c 、z H 、z W Respectively evaluating the weight values of the parameters for the displacement rate of the side slope, the displacement vector angle, the crack of the rear edge, the underground water level and the stability of the water content of the slope body on the stability of the side slope; u. u v 、u θ 、u c 、u H 、u W Slope stability membership degrees which are slope displacement rate, displacement vector angle, trailing edge crack, underground water level and slope body water content stability evaluation parameters respectively;
the magnitude of the comprehensive membership degree of the slope multi-parameter stability directly indicates the stable state of the slope, wherein if the comprehensive membership degree is equal to 0, the slope is indicated to be in an unstable state and a trend displacement is certainly generated; if the comprehensive membership degree is equal to 1, the slope is in a stable state and does not generate trend displacement; if the comprehensive membership degree is between 0 and 1, whether the number is close to 0 or close to 1 is considered: the closer to 0, the higher the probability of the slope generating trend displacement is; the closer to 1, the more possibility that the slope is in a stable state is shown; therefore, the comprehensive degree of membership of the stability of the multi-position moving force parameters is determined as a comprehensive monitoring and early warning parameter of the slope stability;
and eighthly, monitoring and early warning the slope stability: when the number M of the 0.75-woven fabrics is less than or equal to 1, the side slope is in a stable state; when the number M of the piles is less than or equal to 0.75, the slope is in a basic stable state, and the early warning level is yellow early warning; when the number M of the piles is less than or equal to 0.25, the side slope is in an under-stable state, and the early warning level is orange early warning; when M is more than or equal to 0 and less than or equal to 0.25, the side slope is in an unstable state, and the early warning grade is red early warning.
The invention has the beneficial effects that: the method is a novel method for evaluating the stability of the side slope by determining the comprehensive membership degree of various displacement dynamic key parameters of the displacement rate of the side slope, the displacement vector angle, the trailing edge crack, the underground water level and the water content of the slope body. The method not only overcomes the limitation that the limit balance method cannot analyze and evaluate the slope stability along with the change of time, but also overcomes the defect that the traditional displacement time sequence prediction method cannot analyze and evaluate the landslide formation mechanism and dynamic cause, and provides a scientific and effective evaluation method for the complex landslide stability evaluation and monitoring early warning.
Drawings
FIG. 1 is a flow chart of the present invention.
FIG. 2 is a graph of the distribution of the membership function half-trapezoids according to the present invention.
FIG. 3 is a schematic diagram of the slope moisture content, groundwater and displacement monitoring points and monitoring, collecting and processing equipment of the present invention.
Fig. 4 is a schematic diagram of the slope body grid division and displacement deformation monitoring points of the invention.
FIG. 5 is a schematic view of an example of a slope body monitoring point, datum point, trailing edge wall and trailing edge crack of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with examples which are set forth to illustrate, but are not to be construed to limit the scope of the invention.
A landslide comprehensive monitoring and early warning method based on displacement and power multi-parameter comprises the following steps:
step one, monitoring and preprocessing slope displacement, rear edge cracks, underground water level and slope body water content data;
1) Carrying out preliminary survey and mapping on the side slope, determining the distribution range and size of the side slope, the length of the trailing edge wall and other characteristics, and setting monitoring points and datum points at key points such as a main sliding area, a trailing edge crack, a shearing outlet and the like;
2) Arrangement and installation of monitoring equipment;
3) Preprocessing monitoring data;
selecting and determining key parameters of different displacements of the side slope;
selecting a displacement key parameter capable of reflecting the change of the integral stability of the side slope: the displacement rate, the displacement vector angle and the trailing edge crack are used as slope stability evaluation indexes;
step three, selecting and determining different power key parameters of the side slope;
selecting power key parameters capable of reflecting the overall stability change of the side slope: the underground water level and the slope body water content are used as slope stability evaluation indexes;
step four, determining stability evaluation parameters of different-position moving forces of the side slope;
1) Determining displacement rate statistic parameters;
2) Determining a displacement vector angle statistic parameter;
3) Determining the change rate of the trailing edge crack communication rate;
4) Determining the change rate of the underground water level;
5) Determining the change rate of the water content of the slope body;
determining a critical value of evaluation parameters of the stability of different-position moving forces of the side slope;
1) Determining a slope displacement rate critical statistic parameter;
2) Determining a slope displacement vector angle critical statistic parameter;
3) Determining a critical value of the change rate of the trailing edge crack communication rate;
4) Determining a critical value of the change rate of the underground water level;
5) Determining a critical value of the change rate of the water content of the slope body;
step six, determining the degree of membership of each moving force parameter stability of the side slope;
1) Respectively determining membership functions of evaluation parameters of the slope displacement rate, the displacement vector angle, the trailing edge crack, the underground water level and the slope water content rate;
2) According to the membership function, determining slope stability membership of displacement rate, displacement vector angle, trailing edge crack, underground water level and slope water content at any moment;
seventhly, determining the stability weight of each movement force parameter;
because the influence degrees of all the parameters on the slope stability are different, the weight of all the parameters is calculated by an improved analytic hierarchy process;
step eight, determining slope monitoring early warning parameters and monitoring and early warning the stability of the slope monitoring early warning parameters;
1) Determining slope stability comprehensive monitoring and early warning parameters, performing weighted calculation on slope displacement rate, displacement vector angle, trailing edge cracks, underground water level and slope water content membership degree, and determining slope multi-parameter stability comprehensive membership degree;
2) According to the slope stability comprehensive monitoring and early warning parameters and the relation between the slope stability comprehensive monitoring and early warning parameters and the slope stability, different slope stability monitoring and early warning values can be determined, and slope stability is monitored and early warned.
In the first step, the steps of setting monitoring points and reference points at key points such as main sliding areas, rear edge cracks, shearing outlets and the like are as follows: (1) selecting m monitoring points arranged on the main sliding surface of the monitored side slope corresponding to the slope surface, and uniformly arranging the monitoring points on the slope surface at equal intervals from the trailing edge wall to the leading edge shear outlet according to the actual topography of the slope surface to form a monitoring net; (2) selecting at least 3 points with good geological conditions and stable point positions as monitoring reference points in a stable bedrock or deformation-free area outside a landslide body to form a control network, and ensuring self-checking and controlling comprehensive monitoring of side slope monitoring points;
the arrangement and installation steps of the monitoring equipment are as follows: (1) GPS displacement monitoring equipment is arranged at the monitoring point and the monitoring reference point, so that the slope displacement monitoring equipment is tightly connected with the surface of the landslide body, and the deformation of the surface of the slope body can be accurately reflected; (2) drilling at each monitoring point of the side slope, wherein the drilling depth is below the basement rock surface or the underground water level of the slope in the past year, so that the underground water level can be monitored in any time period after the monitoring equipment is arranged; a pressure type water level gauge is arranged at the bottom of the drill hole, and an additional air pressure compensation device is arranged on the slope surface at the same time, so that the change of the underground water level is monitored; (3) respectively arranging soil moisture sensors at the junction of the bedrock surface and the upper soil layer at each monitoring point and 0.5m below the surface of the slope body, wherein the total number of the soil moisture sensors is 2 x m, and the soil moisture sensors are used for reflecting the change condition of the water content of the slope body of the side slope in real time; (4) the method comprises the following steps of (1) measuring cracks on the rear edge of a side slope by adopting a manual measurement method, numbering each crack, measuring by using a steel ruler, and recording data once every two days;
preprocessing monitoring data: and (4) classifying and preprocessing the vertical displacement, the horizontal displacement, the underground water level, the slope body water content and the length of each trailing edge crack at the m monitored monitoring points, and recording an Excel table.
Determination of displacement rate in the second step
According to each monitoring point k =1,2, \8230, m at i time i =1,2, \8230, n is horizontally displaced
Figure BDA0002642458170000161
And vertical displacement
Figure BDA0002642458170000162
And (3) monitoring data, and solving the displacement rate of each monitoring point at the moment i:
Figure BDA0002642458170000163
wherein the content of the first and second substances,
Figure BDA0002642458170000164
respectively the horizontal displacement of the kth monitoring point of the side slope at the time i and the time i-1;
Figure BDA0002642458170000165
vertical displacement of the kth monitoring point of the side slope at the time i and the time i-1 respectively; t is the time interval between the time i and the time i-1;
i =1,2, \8230atthe ith time of the slope, n monitoring points k =1,2, \8230, the mean value of the m displacement rate is determined by the arithmetic mean value of the displacement rate of each monitoring point, as shown in the formula (2)
Figure BDA0002642458170000171
Determining the displacement vector angle in the second step
According to equation (3), determining displacement vector angle of each monitoring point k =1,2, \8230, m at i time i =1,2, \8230, n:
Figure BDA0002642458170000172
i =1,2, \8230atthe ith moment of the slope, n monitoring points k =1,2, \8230, and the mean value of the displacement vector angle of m is determined by the arithmetic mean value of the displacement vector angles of the monitoring points, as shown in formula (4)
Figure BDA0002642458170000173
Determining the length of the trailing edge crack in step two
Determining the length L of the trailing edge wall of the slope through surveying and mapping, wherein the length of the trailing edge crack is determined according to the formula (5):
Figure BDA0002642458170000174
wherein C is the total length of the trailing edge crack; f is the number of the rear edge cracks; c. C i The length of each trailing edge crack.
Determination of ground Water level in the third step
The underground water level of the side slope is determined by the average value of the actually measured underground water levels at each monitoring point:
Figure BDA0002642458170000175
wherein H is the underground water level of the side slope; m is the number of monitoring points; h is a total of k For each monitoring pointThe ground water level; determination of slope water content in step three
Respectively monitoring the water content of the junction of the bedrock surface and the upper soil layer corresponding to each monitoring point and the water content of the position 0.5m below the surface of the slope body, wherein the water content of the slope body is determined by the average value of the water content of the slope body at each monitoring point:
Figure BDA0002642458170000181
wherein W is the water content of the slope body; 2m is two soil moisture sensors; wk is the water content of the junction of the basement rock surface and the upper soil layer corresponding to each monitoring point and 0.5m below the surface of the slope body.
Determination of the Displacement Rate statistic parameter in step four
Calculating a displacement rate statistic parameter according to a trend displacement analysis principle to serve as a slope stability evaluation parameter of the displacement rate;
(1) calculating the average value of the slope displacement rate:
Figure BDA0002642458170000182
wherein the content of the first and second substances,
Figure BDA0002642458170000183
the slope is the slope ith moment i =1,2, \ 8230, and the displacement rate mean value of each monitoring point n;
(2) calculating slope displacement rate statistic parameters:
Figure BDA0002642458170000184
determination of displacement vector angle statistic parameter in step four
Calculating a displacement vector angle statistic parameter as a slope stability evaluation parameter of the displacement vector angle according to a trend displacement analysis principle;
(1) calculating the average value of the slope displacement vector angle:
Figure BDA0002642458170000185
wherein the content of the first and second substances,
Figure BDA0002642458170000191
the slope is the slope ith moment i =1,2, \8230, and the displacement vector angle mean value of each monitoring point n;
(2) calculating slope displacement vector angle statistic parameters:
Figure BDA0002642458170000192
determination of the rate of change of the trailing edge crack connectivity in step four
Monitoring the development condition of each rear edge crack of the side slope, and determining the change rate of the rear edge crack communication rate of the side slope according to the formula (12):
Figure BDA0002642458170000193
wherein delta is the change rate of the crack communication rate of the rear edge of the side slope; c is the total length of the rear edge crack; l is the trailing edge wall length;
determination of rate of change of groundwater level in step four
The groundwater level change rate is determined by equation (13):
Figure BDA0002642458170000194
wherein ζ is the underground water level change rate; h is the underground water level of the slope at the current moment; h o Is the initial underground water level of the side slope;
determination of slope water content change rate in step four
The rate of change of the water content of the slope body is determined by the formula (14):
Figure BDA0002642458170000195
wherein eta is the change rate of the water content of the slope body; w is the water content of the slope body at the current moment of the slope; w is a o The initial water content of the side slope.
The critical statistical quantity parameter of the slope displacement rate in the fifth step
Figure BDA0002642458170000201
Is determined
Selecting a certain significance level alpha, and calculating the critical statistic parameter of the slope displacement rate
Figure BDA0002642458170000202
Figure BDA0002642458170000203
Wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0002642458170000204
for each monitoring point k =1,2, \ 8230;, the average of the m displacement rate statistic parameters,
Figure BDA0002642458170000205
for the displacement rate statistic parameters of each monitoring point,
Figure BDA0002642458170000206
the displacement rate of each monitoring point is an average value;
Figure BDA0002642458170000207
alpha is significance level for the variance of displacement rate statistic of each monitoring point, 0.05 is taken in the invention,
Figure BDA0002642458170000208
the probability parameter is a probability parameter of the standard normal distribution, and can be obtained by looking up a standard normal distribution bilateral critical value table;
as a side slopeDisplacement rate statistic parameter gamma v When the slope is more than or equal to 1, the slope is in a stable state; when slope displacement speed statistic parameter gamma v Less than displacement rate critical statistic parameter
Figure BDA0002642458170000209
When the slope moves, the slope tends to move;
step five, critical statistical quantity parameters of slope displacement vector angle
Figure BDA00026424581700002010
Is determined
Selecting a certain significance level alpha, and calculating slope displacement vector angle critical statistic parameters
Figure BDA00026424581700002011
Figure BDA00026424581700002012
Wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0002642458170000211
for each monitoring point k =1,2, \8230, the average value of the m displacement vector angle statistic parameter,
Figure BDA0002642458170000212
for the parameter of the displacement vector angle statistic of each monitoring point,
Figure BDA0002642458170000213
is the average value of the displacement vector angles of all the monitoring points,
Figure BDA0002642458170000214
the variance of the angular statistics of the displacement vector of each monitoring point is calculated;
when displacement vector angle statistic parameter gamma θ When the displacement vector angle is more than or equal to 1, the side slope is in a stable state, and the parameter gamma is counted when the displacement vector angle θ Less than displacement vector angle critical statistic parameter
Figure BDA0002642458170000215
In time, the slope has trend and changes in displacement direction;
determining the critical value of the change rate of the trailing edge crack communication rate in the fifth step
Since the trailing edge crack is continuously expanded once appearing, the communication rate change rate δ >0, and when the trailing edge crack communication rate change rate δ =0, the slope is in a steady state; when delta is larger than 90%, the side slope is unstable;
determining the underground water level change rate critical value in the fifth step
When the change rate zeta of the groundwater level of the side slope is less than or equal to 0, the side slope is in a stable state; when zeta is greater than 70%, the slope is unstable;
determining the critical value of the change rate of the water content of the slope body in the fifth step
When the change rate eta of the water content of the slope body is less than or equal to 0, the side slope is in a stable state; when the water content of the soil body of the side slope is the saturated water content w p I.e. rate of change of water content of slope body
Figure BDA0002642458170000216
In time, the slope becomes unstable;
the quantitative criteria of the slope displacement rate, the displacement vector angle, the trailing edge crack, the underground water level and the slope water content stability evaluation parameters are shown in the table 1.
TABLE 1 quantitative criterion for slope stability evaluation parameters
Figure BDA0002642458170000221
The slope displacement rate membership function in the sixth step is as follows:
Figure BDA0002642458170000222
the slope displacement vector angle membership function in the sixth step is as follows:
Figure BDA0002642458170000223
the trailing edge crack membership function in the step six is as follows:
Figure BDA0002642458170000231
the underground water level membership function in the sixth step is as follows:
Figure BDA0002642458170000232
and the subordinative function of the water content of the slope body in the sixth step is as follows:
Figure BDA0002642458170000233
the improved analytic hierarchy process in step seven: if A is as important as B, refer to Table 1, if A is more important than B, refer to Table 2, and if A is not B important, refer to 0;
1) According to the actual conditions of different slopes, an initial judgment matrix is established by utilizing an expert scoring method as shown in table 2, wherein
Figure BDA0002642458170000234
b ij ∈{0,1,2};
TABLE 2 initial decision matrix
Figure BDA0002642458170000235
Figure BDA0002642458170000241
2) Establishing a final judgment matrix A = (a) according to the following formula ij ) n×n
Figure BDA0002642458170000242
3) Calculating weights
The final weight value of each parameter is found from equation (23):
Figure BDA0002642458170000243
wherein the content of the first and second substances,
Figure BDA0002642458170000244
the slope multi-parameter stability comprehensive membership degree in the step eight is shown as a formula (24):
M=z v u v +z θ u θ +z c u c +z H u H +z W u W (24)
wherein: m is the comprehensive membership degree of the slope multi-parameter; z is a radical of v 、z θ 、z c 、z H 、z W Respectively evaluating the weight values of the parameters for the displacement rate of the side slope, the displacement vector angle, the crack of the rear edge, the underground water level and the stability of the water content of the slope body on the stability of the side slope; u. of v 、u θ 、u c 、u H 、u W The slope stability membership degrees are respectively the slope displacement rate, the displacement vector angle, the trailing edge crack, the underground water level and the slope water content stability evaluation parameters;
the magnitude of the comprehensive membership degree of the slope multi-parameter stability directly indicates the stable state of the slope, wherein if the comprehensive membership degree is equal to 0, the slope is indicated to be in an unstable state and a trend displacement is certainly generated; if the comprehensive membership degree is equal to 1, the slope is in a stable state and does not generate trend displacement; if the comprehensive membership degree is between 0 and 1, whether the number is close to 0 or close to 1 is considered: the closer to 0, the higher the probability of the slope generating trend displacement is; the closer to 1, the more possibility that the slope is in a stable state is shown; therefore, the comprehensive degree of membership of the stability of the multi-position moving force parameters is determined as a comprehensive monitoring and early warning parameter of the slope stability;
and eighthly, monitoring and early warning the slope stability: when 0.75< -M is less than or equal to 1, the side slope is in a stable state; when 0.5< -M is less than or equal to 0.75, the side slope is in a basic stable state, and the early warning level is yellow early warning; when the number M of the piles is less than or equal to 0.25, the side slope is in an under-stable state, and the early warning level is orange early warning; when M is more than or equal to 0 and less than or equal to 0.25, the side slope is in an unstable state, and the early warning grade is red early warning.
Example (b):
now, the method will be described in detail by taking a certain landslide in Wushan county as an example. The landslide is in a rectangular plane shape, the length of the landslide is about 450m, the width of the landslide is about 350m, the elevation of the landslide is about 160m, the length of the rear edge wall of the landslide is about 170m, the thickness of a soil body is about 5-15 m, the landslide is made of silty clay, and the area of the landslide is about 15 multiplied by 10 4 m 2 Volume of about 120X 10 4 m 3 . The integral slope direction of the landslide region is 275 degrees, and the slope angle is about 20-30 degrees. The method for monitoring and evaluating the landslide comprises the following specific implementation steps:
the first step is as follows: monitoring of slope displacement, trailing edge crack, underground water level and slope body water content data
1) The method comprises the following steps of carrying out preliminary survey and mapping on the side slope, determining the distribution range and size of the side slope and the length of the trailing edge wall, and setting monitoring points and datum points at key points such as a main sliding area, trailing edge cracks and a shear outlet: (1) selecting m monitoring points arranged on the main sliding surface of the monitored side slope corresponding to the slope surface, and uniformly arranging the monitoring points on the slope surface at equal intervals from the trailing edge wall to the leading edge shear outlet according to the actual topography of the slope surface to form a monitoring net (see figure 4); (2) in a stable bedrock or a non-deformation area outside a landslide body, 3 points which have good geological conditions and stable point positions and can meet GPS observation conditions are selected as monitoring reference points to form a control network, so that self-checking and comprehensive monitoring of slope monitoring points are guaranteed (see figure 5).
2) Arrangement and installation of monitoring equipment (see fig. 3, 1 in the figure is a pressure type water gauge; FIG. 2 shows a soil moisture sensor; 3 in the figure is a displacement monitoring point; the figure 4 is displacement change monitoring equipment; FIG. 5 shows a monitoring reference point and equipment; the figure 6 is a data acquisition device; FIG. 7 shows a remote monitoring room; main slip plane slope 8 in the figure): (1) and a GPS displacement monitoring device is arranged at the monitoring point and the monitoring reference point, so that the slope displacement monitoring device is tightly connected with the surface of the landslide body, and the deformation of the surface of the landslide body can be accurately reflected. (2) And drilling at the selected monitoring point position of the side slope, wherein the drilling depth is below the basement rock surface or the underground water level of the slope in the past year, and the underground water level can be monitored to change in any time period after the monitoring equipment is arranged. The bottom of the drill hole is provided with a pressure type water gauge, and an additional air pressure compensation device is arranged on the slope surface at the same time, so that the change of the underground water level is monitored. (3) And respectively arranging soil moisture sensors at the junction of the bedrock surface and the upper soil layer at each monitoring point and 0.5m below the surface of the slope body, wherein the total number of the soil moisture sensors is 2 x m, and the soil moisture sensors are used for reflecting the change condition of the water content of the slope body of the side slope in real time. (4) The method for measuring the side slope trailing edge cracks adopts a manual measurement method, firstly, each crack is numbered, then, a steel ruler is used for measuring and recording data, and the measurement is carried out once every two days.
The second step is that: selection and determination of key parameters of different displacements of slope
Selecting a displacement key parameter which can reflect the change of the integral stability of the side slope: and the displacement rate, the displacement vector angle and the trailing edge crack are used as slope stability evaluation indexes.
1) Determination of displacement rate
Monitoring the vertical displacement and the horizontal displacement of each monitoring point of the side slope respectively every T =10d by using GPS displacement monitoring equipment, sending monitoring data to a data processing center through wireless transmission, and obtaining the vertical displacement of each monitoring point k =1,2, \ 8230, m after monitoring for 6 periods
Figure BDA0002642458170000261
And horizontal displacement
Figure BDA0002642458170000262
Data, calculated and collated by microsoft Excel software, were obtained as the following table 3:
TABLE 3 statistical table (mm) of horizontal displacement and vertical displacement of each monitoring point of side slope
Figure BDA0002642458170000263
Figure BDA0002642458170000271
According to the monitoring data of n horizontal displacement and vertical displacement, the displacement rate of each monitoring point at the moment i can be obtained (see table 4):
Figure BDA0002642458170000272
wherein the content of the first and second substances,
Figure BDA0002642458170000273
respectively the horizontal displacement of the kth monitoring point of the side slope at the time i and the time i-1;
Figure BDA0002642458170000274
vertical displacement of the kth monitoring point of the side slope at the time i and the time i-1 respectively; t is the time interval between time i and time i-1.
The slope ith time i =1,2, \8230, n monitoring points k =1,2, \8230, the m displacement rate mean is determined by the arithmetic mean of the displacement rates of the monitoring points (see table 4):
Figure BDA0002642458170000275
TABLE 4 displacement rate values and mean values (mm/d) of monitoring points at the ith time of the side slope
Figure BDA0002642458170000276
2) Determination of displacement vector angle
Determining the displacement vector angle of each monitoring point k =1,2, \8230, m at i instant i =1,2, \8230, n (see table 5):
Figure BDA0002642458170000277
slope ith time i =1,2, \8230, n monitoring points k =1,2, \8230, m displacement vector angle mean is determined by the arithmetic mean of the displacement vector angles of the monitoring points (see table 5):
Figure BDA0002642458170000281
TABLE 5 slope ith moment each monitoring point displacement vector angle value and mean value (°)
Figure BDA0002642458170000282
3) Determination of trailing edge crack length
Through surveying and mapping, the length L =170m of the trailing edge wall of the slope is determined, the length of each crack measured on the same day is shown in the table 6, and the length of the trailing edge crack is as follows:
Figure BDA0002642458170000283
and (4) rice.
TABLE 6 side slope trailing edge crack length
Crack numbering 1 2 3 4 5 6 7
Length (m) 10 7 2 5 12 5 11
The third step: selection and determination of different dynamic key parameters of slope
1) Determination of groundwater level
The initial underground water level of each monitoring point of the side slope and the monitoring value of the underground water level of the current day are shown in the table 7, and then the initial underground water level of the side slope is as follows: h o =40.46 m, ground water level at the current time:
Figure BDA0002642458170000284
and (4) rice.
Watch 7 underground water level of each monitoring point of side slope (m)
Monitoring time JC3 JC4 JC5 JC6 JC7
2014.06.07 51.1 43.7 30.5 32.4 44.6
2014.08.07 64.3 55.1 42.5 40.6 57.1
2) Determination of water content of slope
Respectively monitoring the water content of the junction of the bedrock surface and the upper soil layer corresponding to each monitoring point and the water content of the position 0.5m below the surface of the slope body (see table 8), and the initial water content of the slope body: w 0 =23.8%, the water content of the slope body at the current moment is as follows:
Figure BDA0002642458170000291
TABLE 8 moisture content (%) of slope at different positions of each monitoring point
Figure RE-GDA0002730466970000292
The fourth step: determination of slope different-position moving force stability evaluation parameters
1) Determination of displacement rate statistic parameters
(1) Calculating the average value of the slope displacement rate:
Figure BDA0002642458170000293
(2) calculating slope displacement rate statistic parameters:
Figure BDA0002642458170000294
2) Determination of slope displacement vector angle statistic parameters
(1) Calculating the average value of the slope displacement vector angle:
Figure BDA0002642458170000295
(2) calculating slope displacement vector angle statistic parameters:
Figure BDA0002642458170000301
3) Determining the rate of change of the trailing edge crack communication rate:
Figure BDA0002642458170000302
4) Determining the change rate of the underground water level:
Figure BDA0002642458170000303
5) Determining the change rate of the water content of the slope body:
Figure BDA0002642458170000304
the fifth step: determination of slope different-position moving force stability evaluation parameter critical value
1) Critical statistic parameter of slope displacement rate
Figure BDA0002642458170000305
Is determined
Selecting significance level alpha =0.05, and calculating slope displacement rate critical statistic parameters
Figure BDA0002642458170000306
Figure BDA0002642458170000307
Wherein the content of the first and second substances,
Figure BDA0002642458170000308
for each monitoring point k =1,2, \ 8230;, m displacement rate statistic parameter mean,
Figure BDA0002642458170000309
for the displacement rate statistic parameters for each monitoring point (see table 9),
Figure BDA00026424581700003010
the average value of the displacement rate of each monitoring point is shown in the table 4;
Figure BDA00026424581700003011
for the variance of the displacement rate statistic of each monitoring point, alpha is a significance level, 0.05 is taken in the invention,
Figure BDA0002642458170000311
the probability parameter is a probability parameter of the standard normal distribution, and can be obtained by looking up the standard normal distribution bilateral critical value table
Figure BDA0002642458170000312
TABLE 9 Displacement Rate statistics parameters for Each monitoring Point of the slope
JC3 JC4 JC5 JC6 JC7 Mean value
γ v k 0.34 0.19 0.30 0.25 0.28 0.27
2) Slope displacement vector angle critical statistic parameter
Figure BDA0002642458170000319
Is determined
Selecting significance level alpha =0.05, and calculating slope displacement vector angle critical statistic parameters
Figure BDA0002642458170000313
Figure BDA0002642458170000314
Wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0002642458170000315
for each monitoring point k =1,2, \ 8230;, m displacement vector angle statistic parameter mean value,
Figure BDA0002642458170000316
for the displacement vector angular statistic parameter for each monitoring point (see table 10),
Figure BDA0002642458170000317
is the average of the displacement vector angles of each monitoring point (see table 5),
Figure BDA0002642458170000318
and the variance of the displacement vector angle statistic of each monitoring point.
TABLE 10 Displacement vector angle statistic parameters of each monitoring point of side slope
JC3 JC4 JC5 JC6 JC7 Mean value
γ θ k 0.35 0.40 0.81 0.66 0.97 0.64
3) Determination of trailing edge crack communication rate change rate threshold
When the trailing edge crack communication rate change rate δ =0, the side slope is in a stable state; when δ >90%, the slope is destabilized.
4) Determination of groundwater level change rate threshold
When the change rate zeta of the groundwater level of the side slope is less than or equal to 0, the side slope is in a stable state; when ζ >70%, the slope is destabilized.
5) Determination of slope water content change rate critical value
In the embodiment, the slope soil is silty clay, and when the change rate eta of the water content of the slope is less than or equal to 0, the slope is in a stable state; when the water content of the soil body of the side slope is the saturated water content w p =32%, i.e. rate of change of water content of slope body
Figure BDA0002642458170000321
The slope will be unstable.
And a sixth step: determination of degree of membership of stability of each position of side slope moving force parameter
1) According to the principle 2, the membership functions of the slope displacement rate, the displacement vector angle, the trailing edge crack, the underground water level and the slope water content can be respectively determined.
The slope displacement rate membership function is:
Figure BDA0002642458170000322
the slope displacement vector angle membership function is as follows:
Figure BDA0002642458170000323
the trailing edge crack function is:
Figure BDA0002642458170000331
the underground water level membership function is:
Figure BDA0002642458170000332
the water content membership function of the slope body is as follows:
Figure BDA0002642458170000333
2) According to the membership function, the slope stability membership of any moment displacement rate, displacement vector angle, trailing edge deformation crack communication rate, underground water level and slope water content can be determined: u. u v =0、u θ =0.31、 u c =0.66、u H =0.60、u W =0.39。
The seventh step: determination of the weights of the parameters
The weight of each parameter is calculated using modified analytic hierarchy process.
1) The initial decision matrix is shown in the following table:
TABLE 11 initial decision matrix
Figure BDA0002642458170000334
Figure BDA0002642458170000341
2) Finally, judging a matrix:
Figure BDA0002642458170000342
3) Calculating weights
And (3) solving the final weight value of each parameter: z is a radical of formula v =0.386、z θ =0.386、z c =0.047、 z H =0.134、z W =0.047。
Eighth step: determination of slope monitoring early warning parameters and stability monitoring early warning thereof
1) Determination of slope stability monitoring early warning parameters
And performing weighted calculation on the slope displacement rate, the displacement vector angle, the trailing edge cracks, the underground water level and the slope body water content membership degree, thereby determining the slope multi-parameter stability comprehensive membership degree:
M=z v u v +z θ u θ +z c u c +z H u H +z W u W =0.249
2) Monitoring and early warning the stability of the side slope according to the monitoring and early warning parameters of the stability of the side slope and the relation between the monitoring and early warning parameters and the stability of the side slope: m is more than or equal to 0 and less than or equal to 0.25, the side slope is in an unstable state, and the early warning grade is red early warning.
The working principle is as follows:
1) Trend displacement analysis principle and evaluation method
Slope displacement includes trending displacement, periodic displacement and partially random displacement. The creep displacement and the compression deformation of the slope body of the side slope represent the local stress action of the slope body and belong to local deformation, and the overall sliding of the side slope is the result of the overall gliding stress field action of the side slope and represents the overall sliding deformation trend of the side slope. Therefore, the method has important significance for evaluating the slope stability by comprehensively and correctly analyzing and judging the overall trend displacement of the slope. When the landslide is in a stable state, the deformation of the landslide is mainly creep sliding and compression deformation, and the integral trend sliding amount is small; when the landslide enters an unstable stage, the deformation amount mainly consists of the overall slippage amount, and the proportion of the surface creep and the compression deformation amount is correspondingly reduced. Therefore, the displacement of the sample at this stage will tend to increase or decrease, which is statistically called the gradual shift of the population mean. Assuming that landslide displacement observation points are mutually independent, obey normal distribution and have the same variance sigma 2 Random sequence X of i i =1,2, \8230;, n. The sample mean, sample variance and mean square error are respectively:
Figure BDA0002642458170000351
Figure BDA0002642458170000352
Figure BDA0002642458170000353
according to the statistical principle, when the slope is not moved in the whole, S 2 And q is 2 Are unbiased estimates of the overall variance, which should be similar, when the slope is in a stable state. If the population gradually moves and the variance σ 2 While remaining unchanged, S 2 Will be subject to such a tendency to grow, due to q 2 The difference between the two previous and subsequent observations is only included to eliminate most of the effect, and the effect is not so large. To test for gross movement, statistics can be made:
Figure BDA0002642458170000354
selecting a certain confidence level alpha, determining the critical value gamma of the corresponding gamma value d
Figure BDA0002642458170000355
Wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0002642458170000361
for the average value of the displacement statistics of each monitoring point,
Figure BDA0002642458170000362
for each monitoring point displacement statistic variance, alpha is the confidence level,
Figure BDA0002642458170000363
the probability parameter of the standard normal distribution can be obtained by looking up a standard normal distribution bilateral critical value table.
Calculating gamma using actual monitoring data k And corresponding gamma d Can be aligned to gamma k The values were checked. If the side slope key part monitoring point gamma k ≥γ d Judging that the slope body of the side slope has no trend displacement; if gamma is kd And judging that the slope body of the side slope has trend displacement.
2) Fuzzy mathematic membership function modeling principle and method
For a certain set a, element a either belongs to a or does not belong to a, either of which is mandatory or only, which is a characteristic of the classical set. However, in actual work and life, people often encounter the problem of showing the property of being between "being" and "not being," which is so. To solve such problems in actual work, it is necessary to obfuscate the concept that an element belongs to a collection, recognizing that there are elements on the domain that do not belong to a collection at all or not at all, making the absolute belonging concept of a classical collection a relative belonging concept. Generalizing the situation that the characteristic function in the classical set only takes two values of 0,1 to the closeable interval [0,1 ]]Admits that different elements in the domain of discourse have different degrees of membership to the same set. In fuzzy mathematics, the "clearest point" in a theoretical domain is the element with membership degrees of 0 and 1, commonly referred to as the "definite state", and the element with the least certainty is attributed with a membership degree of 0.5, these elements being referred to as the "most fuzzy points", also referred to as "cross points". In the present invention, when there is no movement overall, S 2 And q is 2 The slope is unbiased estimation of the overall variance, the values of the unbiased estimation are equal, namely when gamma =1, the slope is kept in a stable state, and the membership degree of the slope displacement rate and the displacement vector angle is considered to be 1 at the moment. If gamma is to be<γ d Then, it can be determined that the slope has a tendency displacement with the confidence level 1- α, and the slope is in an unstable state, and the membership degree is considered to be 0 at this time.
The membership functions have various forms, mainly including triangular distribution, trapezoidal distribution, ridge distribution and trigonometric function distribution, and the semi-trapezoidal distribution is suitable for projects with higher safety level requirements as known from related research results. Thus, the present invention constructs membership functions using a semi-trapezoidal distribution (FIG. 2). Before the membership functions are established, for the sake of simplifying the conditions, the following assumptions are made: the influence of the evaluation parameters of the slope displacement rate, the displacement vector angle, the trailing edge crack, the underground water level and the slope water content on the slope stability is linearly changed.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.

Claims (7)

1. A landslide comprehensive monitoring and early warning method based on displacement and power multi-parameter is characterized by comprising the following steps:
monitoring and preprocessing slope displacement, rear edge cracks, underground water level and slope body water content data;
1) Carrying out preliminary survey and mapping on the side slope, determining the distribution range and size of the side slope and the length characteristics of the trailing edge wall, and setting monitoring points and datum points at key points of cracks and cut-out openings of the main sliding area and the trailing edge;
wherein the steps of setting monitoring points and reference points at the main sliding area, the rear edge cracks and the cut-out key points are as follows: (1) selecting m monitoring points which are arranged on the main sliding surface of the monitored side slope and correspond to the slope surface, and uniformly arranging the monitoring points according to the actual topography of the slope surface from the rear edge wall to the slope surface distance of the front edge shear outlet to form a monitoring net; (2) selecting points with good geological conditions and stable point positions as monitoring reference points in a stable bedrock or non-deformation area outside a landslide mass to form a control network, and ensuring self-checking and controlling comprehensive monitoring of slope monitoring points;
the arrangement and installation steps of the monitoring equipment are as follows: (1) GPS displacement monitoring equipment is arranged at the monitoring point and the monitoring reference point, so that the slope displacement monitoring equipment is tightly connected with the surface of the landslide body, and the deformation of the surface of the landslide body can be accurately reflected; (2) drilling at each monitoring point of the side slope, wherein the drilling depth is below the surface of the basement rock or the underground water level in the past year, so that the underground water level can be monitored to change at any time after the monitoring equipment is arranged; arranging a soil moisture sensor at the bottom of the drill hole, and arranging an additional air pressure compensation device on the slope surface at the same time to jointly monitor the change of the underground water level; (3) respectively arranging soil moisture sensors at the junction of the bedrock surface and the upper soil layer at each monitoring point and 0.5m below the surface of the slope body, wherein the total number of the soil moisture sensors is 2 x m, and the soil moisture sensors are used for reflecting the change condition of the water content of the slope body of the side slope in real time; (4) the method comprises the following steps of (1) measuring cracks on the rear edge of a side slope by adopting a manual measurement method, numbering each crack, measuring by using a steel ruler, and recording data once every two days;
preprocessing monitoring data: classifying and preprocessing the vertical displacement, the horizontal displacement, the underground water level, the slope body water content and the length of each trailing edge crack at the m monitored monitoring points, and inputting an Excel table;
2) Arrangement and installation of monitoring equipment;
3) Preprocessing monitoring data;
selecting and determining different displacement key parameters of the side slope;
selecting a displacement key parameter capable of reflecting the change of the integral stability of the side slope: the displacement rate, the displacement vector angle and the trailing edge crack are used as slope stability evaluation indexes;
determination of the displacement rate;
according to each monitoring point k =1,2, \8230, m at i time i =1,2, \8230, n is horizontally displaced
Figure FDA0003860864800000021
And vertical displacement
Figure FDA0003860864800000022
And (3) monitoring data, and solving the displacement rate of each monitoring point at the moment i:
Figure FDA0003860864800000023
wherein the content of the first and second substances,
Figure FDA0003860864800000024
respectively the horizontal displacement of the kth monitoring point of the slope at the time i and the time i-1;
Figure FDA0003860864800000025
vertical displacement of the kth monitoring point of the side slope at the time i and the time i-1 respectively; t is the time interval between the moment i and the moment i-1;
i =1,2, \8230atthe ith time of the slope, n monitoring points k =1,2, \8230, and the mean value of the m displacement rate is determined by the arithmetic mean value of the displacement rate of each monitoring point, as shown in formula (2)
Figure FDA0003860864800000026
Determining the displacement vector angle;
according to equation (3), determining the displacement vector angle of each monitoring point k =1,2, \8230, m at i instant i =1,2, \8230, n:
Figure FDA0003860864800000027
i =1,2, \8230atthe ith moment of the slope, n monitoring points k =1,2, \8230, and the mean value of the displacement vector angle of m is determined by the arithmetic mean value of the displacement vector angles of the monitoring points, as shown in formula (4)
Figure FDA0003860864800000031
Determining the length of the trailing edge crack;
determining the length L of the trailing edge wall of the side slope through surveying and mapping, wherein the length of the trailing edge crack is determined according to the formula (5):
Figure FDA0003860864800000032
wherein C is the total length of the trailing edge crack; f is the number of the rear edge cracks; c. C i For each trailing edge crack length;
step three, selecting and determining different dynamic key parameters of the side slope;
selecting power key parameters capable of reflecting the overall stability change of the side slope: the underground water level and the slope body water content are used as slope stability evaluation indexes;
step four, determining stability evaluation parameters of different-position moving forces of the side slope;
1) Determining displacement rate statistic parameters;
2) Determining displacement vector angle statistic parameters;
3) Determining the change rate of the trailing edge crack communication rate;
4) Determining the change rate of the underground water level;
5) Determining the change rate of the water content of the slope body;
step five, determining the critical value of the evaluation parameter of the stability of the different-position moving force of the side slope;
1) Determining a slope displacement rate critical statistic parameter;
2) Determining a slope displacement vector angle critical statistic parameter;
3) Determining a critical value of the change rate of the trailing edge crack communication rate;
4) Determining a critical value of the change rate of the underground water level;
5) Determining a slope water content change rate critical value;
step six, determining the degree of membership of each moving force parameter stability of the side slope;
1) Respectively determining membership functions of evaluation parameters of slope displacement rate, displacement vector angle, trailing edge crack, underground water level and slope water content;
2) According to the membership function, determining slope stability membership of displacement rate, displacement vector angle, trailing edge crack, underground water level and slope water content at any moment;
seventhly, determining the stability weight of each movement force parameter;
because the influence degrees of all the parameters on the slope stability are different, the weight of all the parameters is calculated by an improved analytic hierarchy process;
step eight, determining slope monitoring and early warning parameters and monitoring and early warning the stability of the slope monitoring and early warning parameters;
1) Determining a slope stability comprehensive monitoring and early warning parameter, performing weighted calculation on a slope displacement rate, a displacement vector angle, a trailing edge crack, an underground water level and a slope body water content membership degree, and determining a slope multi-parameter stability comprehensive membership degree;
2) According to the slope stability comprehensive monitoring and early warning parameters and the relation between the slope stability comprehensive monitoring and early warning parameters and the slope stability, different slope stability monitoring and early warning values can be determined, and slope stability is monitored and early warned.
2. The landslide comprehensive monitoring and early warning method based on displacement and power multiparameters as claimed in claim 1, wherein the determination of groundwater level in the third step;
the underground water level of the side slope is determined by the average value of the actually measured underground water levels at each monitoring point:
Figure FDA0003860864800000041
wherein H is the underground water level of the side slope; m is the number of monitoring points; h is k The underground water level at each monitoring point;
determining the water content of the slope body in the third step;
respectively monitoring the water content of the junction of the bedrock surface and the upper soil layer corresponding to each monitoring point and the water content of the position 0.5m below the surface of the slope body, wherein the water content of the slope body is determined by the average value of the water content of the slope body at each monitoring point:
Figure FDA0003860864800000042
wherein W is the water content of the slope body; 2m is two soil moisture sensors; w is a k And the water content of the junction of the bedrock surface and the upper soil layer corresponding to each monitoring point and the water content of the place 0.5m below the surface of the slope body.
3. The landslide comprehensive monitoring and early warning method based on displacement and power multiparameters as claimed in claim 2, wherein the determination of displacement rate statistic parameters in the fourth step;
calculating a displacement rate statistic parameter according to a trend displacement analysis principle to serve as a slope stability evaluation parameter of the displacement rate;
(1) calculating the average value of the slope displacement rate:
Figure FDA0003860864800000051
wherein the content of the first and second substances,
Figure FDA0003860864800000052
the slope is the slope ith moment i =1,2, \ 8230, and the displacement rate mean value of each monitoring point n;
(2) calculating slope displacement rate statistic parameters:
Figure FDA0003860864800000053
determining the angular statistic parameters of the displacement vector in the fourth step;
calculating a displacement vector angle statistic parameter as a slope stability evaluation parameter of the displacement vector angle according to a trend displacement analysis principle;
(1) calculating the average value of the slope displacement vector angle:
Figure FDA0003860864800000054
wherein, the first and the second end of the pipe are connected with each other,
Figure FDA0003860864800000055
the slope is the slope ith moment i =1,2, \8230, and the displacement vector angle mean value of each monitoring point n;
(2) calculating slope displacement vector angle statistic parameters:
Figure FDA0003860864800000056
determining the change rate of the trailing edge crack communication rate in the fourth step;
monitoring the development condition of each rear edge crack of the side slope, and determining the communication rate change rate of the rear edge cracks of the side slope according to the formula (12):
Figure FDA0003860864800000061
wherein delta is the change rate of the crack communication rate of the rear edge of the side slope; c is the total length of the trailing edge crack; l is the trailing edge wall length;
determining the change rate of the underground water level in the fourth step;
the groundwater level change rate is determined by equation (13):
Figure FDA0003860864800000062
wherein, ζ is the groundwater level change rate; h is the underground water level of the slope at the current moment; h o The initial underground water level of the side slope;
determining the change rate of the water content of the slope body in the fourth step;
the change rate of the water content of the slope body is determined by the formula (14):
Figure FDA0003860864800000063
wherein eta is the change rate of the water content of the slope body; w is the water content of the slope body at the current moment of the slope; and wo is the initial water content of the side slope.
4. The landslide integrated monitoring and early warning method based on displacement and power multiparameters as claimed in claim 3, wherein the critical statistical quantity parameter of slope displacement rate in the fifth step
Figure FDA0003860864800000064
Determining;
selecting a certain significance level alpha, and calculating the critical statistic parameter of the slope displacement rate
Figure FDA0003860864800000065
Figure FDA0003860864800000066
Wherein, the first and the second end of the pipe are connected with each other,
Figure FDA0003860864800000067
for each monitoring point k =1,2, \ 8230;, m displacement rate statistic parameter mean,
Figure FDA0003860864800000071
for the displacement rate statistic parameters of each monitoring point,
Figure FDA0003860864800000072
the displacement rate of each monitoring point is an average value;
Figure FDA0003860864800000073
alpha is significance level for the variance of the displacement rate statistic of each monitoring point, 0.05 is taken in the invention,
Figure FDA0003860864800000074
the probability parameter is a probability parameter of the standard normal distribution and can be obtained by looking up a standard normal distribution bilateral critical value table;
when slope displacement rate statistic parameter gamma v When the slope is more than or equal to 1, the slope is in a stable state; when slope displacement rate statistic parameter gamma v Less than displacement rate critical statistic parameter
Figure FDA0003860864800000075
When the slope moves, the slope tends to move;
step five, critical statistic parameters of slope displacement vector angle
Figure FDA0003860864800000076
Determination of (1);
selecting a certain significance level alpha, and calculating slope displacement vector angle critical statistic parameters
Figure FDA0003860864800000077
Figure FDA0003860864800000078
Wherein the content of the first and second substances,
Figure FDA0003860864800000079
for each monitoring point k =1,2, \ 8230, the average value of the parameter of the m displacement vector angle statistic,
Figure FDA00038608648000000710
for the displacement vector angle statistic parameters of each monitoring point,
Figure FDA00038608648000000711
is the average value of the displacement vector angles of all the monitoring points,
Figure FDA00038608648000000712
the variance of the displacement vector angle statistic of each monitoring point;
when displacement vector angle statistic parameter gamma θ When the displacement vector angle statistic parameter gamma is larger than or equal to 1, the side slope is in a stable state θ Less than displacement vector angle critical statistic parameter
Figure FDA00038608648000000713
In time, the slope has a trend of changing the displacement direction;
determining a critical value of the change rate of the trailing edge crack communication rate in the step five;
as the trailing edge crack is continuously expanded once appearing, the communication rate change rate delta is greater than 0, and when the trailing edge crack communication rate change rate delta =0, the slope is in a stable state; when delta is larger than 90%, the side slope is unstable;
determining a critical value of the underground water level change rate in the fifth step;
when the change rate zeta of the groundwater level of the side slope is less than or equal to 0, the side slope is in a stable state; when ζ is larger than 70%, the side slope is unstable;
determining a slope water content change rate critical value in the fifth step;
when the change rate eta of the water content of the slope body is less than or equal to 0, the side slope is in a stable state; when the water content of the soil body of the side slope is the saturated water content w p I.e. rate of change of water content of slope body
Figure FDA0003860864800000081
In time, the slope becomes unstable;
the quantitative criteria of the parameters of slope displacement rate, displacement vector angle, trailing edge crack, groundwater level and slope water content stability evaluation are shown in table 1.
TABLE 1 quantitative criterion for slope stability evaluation parameters
Figure FDA0003860864800000082
5. The landslide comprehensive monitoring and early warning method based on displacement and power multiparameters as claimed in claim 4, wherein the slope displacement rate membership function in the sixth step is:
Figure FDA0003860864800000083
the slope displacement vector angle membership function in the sixth step is as follows:
Figure FDA0003860864800000091
the trailing edge crack membership function in the step six is as follows:
Figure FDA0003860864800000092
the underground water level membership function in the step six is as follows:
Figure FDA0003860864800000093
and the subordination function of the water content of the slope body in the sixth step is as follows:
Figure FDA0003860864800000094
6. the comprehensive landslide monitoring and early warning method based on displacement and power multiparameters as claimed in claim 5, wherein the improved analytic hierarchy process in step seven is characterized in that if A and B are the same in importance, the A is referred to as Table 1, if A is more important than B, the A is referred to as Table 2, and if A is not important, the B is referred to as 0;
1) According to the actual conditions of different slopes, an initial judgment matrix is established by utilizing an expert scoring method as shown in the table 2, wherein
Figure FDA0003860864800000101
TABLE 2 initial decision matrix
Figure FDA0003860864800000102
2) Establishing a final judgment matrix A = (a) according to the following formula ij ) n×n
Figure FDA0003860864800000103
3) Calculating the weight;
the final weight value of each parameter is found according to equation (23):
Figure FDA0003860864800000104
wherein the content of the first and second substances,
Figure FDA0003860864800000105
7. the comprehensive landslide monitoring and early warning method based on displacement and power multiparameters as claimed in claim 6, wherein the comprehensive degree of membership of slope multiparameter stability in the step eight is as shown in formula (24):
M=z v u v +z θ u θ +z c u c +z H u H +z W u W (24)
wherein: m is a slope multi-parameter comprehensive membership degree; z is a radical of v 、z θ 、z c 、z H 、z W Respectively evaluating the weight of the parameters for slope displacement rate, displacement vector angle, trailing edge crack, underground water level and slope water content stability to the slope stability; u. of v 、u θ 、u c 、u H 、u W The slope is respectively the slope displacement rate, the displacement vector angle, the trailing edge crack, the underground water level and the slope water content stability evaluation parametersA degree of membership to stability;
the magnitude of the slope multi-parameter stability comprehensive membership degree directly indicates the stable state of the slope, wherein if the comprehensive membership degree is equal to 0, the slope is indicated to be in an unstable state, and trend displacement is certainly generated; if the comprehensive membership degree is equal to 1, the slope is in a stable state and does not have trend displacement; if the comprehensive membership degree is between 0 and 1, whether the number is close to 0 or close to 1 is considered: the closer to 0, the higher the probability of the slope generating trend displacement is; the closer to 1, the higher the possibility that the slope is in a stable state is; therefore, the comprehensive degree of membership of the stability of the multi-position moving force parameters is determined as a comprehensive monitoring and early warning parameter of the slope stability;
monitoring and early warning the stability of the side slope in the step eight: when the number M of the 0.75-woven fabrics is less than or equal to 1, the side slope is in a stable state; when 0.5< -M is less than or equal to 0.75, the side slope is in a basic stable state, and the early warning level is yellow early warning; when the number M of 0.25< -M is less than or equal to 0.5, the side slope is in an under-stable state, and the early warning grade is orange early warning; when M is more than or equal to 0 and less than or equal to 0.25, the side slope is in an unstable state, and the early warning grade is red early warning.
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Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009093594A (en) * 2007-10-12 2009-04-30 Hazama Corp Disaster-prevention monitoring system and disaster-prevention monitoring method
CN101630347A (en) * 2009-08-20 2010-01-20 同济大学 Mountainous area highway landslide risk evaluation model
CN103150871A (en) * 2013-01-31 2013-06-12 青岛理工大学 Landslide forecasting method capable of utilizing underground water levels and displacement real-time monitoring
CN103440424A (en) * 2013-09-04 2013-12-11 青岛理工大学 Method for detecting and determining landslide shear crack through slope displacement monitoring data
CN103743441A (en) * 2014-01-20 2014-04-23 马鞍山南山开发公司 Multi-factor coupling on-line monitoring system and multi-factor coupling on-line monitoring system method for slope safety
CN104406623A (en) * 2014-07-23 2015-03-11 青岛理工大学 Side slope dynamic stability coefficient determination method based on underground water level and displacement monitoring
CN106529197A (en) * 2016-12-07 2017-03-22 中国地质大学(武汉) Landslide stability time-varying law analysis method
CN107507396A (en) * 2017-08-09 2017-12-22 中国科学院、水利部成都山地灾害与环境研究所 A kind of method for early warning of the dangerous three-dimensional multi-point multi objective of rain-induced landslide
CN108538026A (en) * 2018-02-23 2018-09-14 青岛理工大学 A kind of multiple attribute synthetical evaluation and method for early warning of slope stability
CN109584510A (en) * 2018-11-30 2019-04-05 中国公路工程咨询集团有限公司 A kind of road landslide of high slope disaster alarm method based on valuation functions training
CN109635325A (en) * 2018-11-06 2019-04-16 青岛理工大学 Reservoir landslide stability prediction method based on compound hydrodynamic force and displacement monitoring
CN109815633A (en) * 2019-02-28 2019-05-28 河海大学 A kind of slope stability method of discrimination based on coupling about surface water and ground water model
CN110160435A (en) * 2019-04-30 2019-08-23 青岛理工大学 The moisture content increment of load response ratio Prediction Parameters that come down and method
CN110223490A (en) * 2019-05-28 2019-09-10 成都理工大学 A method of rock slopes stability is judged based on warning grade
CN110751397A (en) * 2019-10-22 2020-02-04 深圳市城市交通规划设计研究中心有限公司 Slope monitoring system evaluation method
CN110930004A (en) * 2019-11-14 2020-03-27 宁波大学 Large-scale surface mine side slope landslide hazard early warning method based on fuzzy comprehensive evaluation method

Patent Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009093594A (en) * 2007-10-12 2009-04-30 Hazama Corp Disaster-prevention monitoring system and disaster-prevention monitoring method
CN101630347A (en) * 2009-08-20 2010-01-20 同济大学 Mountainous area highway landslide risk evaluation model
CN103150871A (en) * 2013-01-31 2013-06-12 青岛理工大学 Landslide forecasting method capable of utilizing underground water levels and displacement real-time monitoring
CN103440424A (en) * 2013-09-04 2013-12-11 青岛理工大学 Method for detecting and determining landslide shear crack through slope displacement monitoring data
CN103743441A (en) * 2014-01-20 2014-04-23 马鞍山南山开发公司 Multi-factor coupling on-line monitoring system and multi-factor coupling on-line monitoring system method for slope safety
CN104406623A (en) * 2014-07-23 2015-03-11 青岛理工大学 Side slope dynamic stability coefficient determination method based on underground water level and displacement monitoring
CN106529197A (en) * 2016-12-07 2017-03-22 中国地质大学(武汉) Landslide stability time-varying law analysis method
CN107507396A (en) * 2017-08-09 2017-12-22 中国科学院、水利部成都山地灾害与环境研究所 A kind of method for early warning of the dangerous three-dimensional multi-point multi objective of rain-induced landslide
CN108538026A (en) * 2018-02-23 2018-09-14 青岛理工大学 A kind of multiple attribute synthetical evaluation and method for early warning of slope stability
CN109635325A (en) * 2018-11-06 2019-04-16 青岛理工大学 Reservoir landslide stability prediction method based on compound hydrodynamic force and displacement monitoring
CN109584510A (en) * 2018-11-30 2019-04-05 中国公路工程咨询集团有限公司 A kind of road landslide of high slope disaster alarm method based on valuation functions training
CN109815633A (en) * 2019-02-28 2019-05-28 河海大学 A kind of slope stability method of discrimination based on coupling about surface water and ground water model
CN110160435A (en) * 2019-04-30 2019-08-23 青岛理工大学 The moisture content increment of load response ratio Prediction Parameters that come down and method
CN110223490A (en) * 2019-05-28 2019-09-10 成都理工大学 A method of rock slopes stability is judged based on warning grade
CN110751397A (en) * 2019-10-22 2020-02-04 深圳市城市交通规划设计研究中心有限公司 Slope monitoring system evaluation method
CN110930004A (en) * 2019-11-14 2020-03-27 宁波大学 Large-scale surface mine side slope landslide hazard early warning method based on fuzzy comprehensive evaluation method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
水库型堆积层滑坡位移方向协调性参数及其失稳判据研究;郭璐等;《水利学报》;20181231;第49卷(第12期);第1532-1539页 *
降雨型滑坡垂直位移方向率及其位移监测预警判据研究;贺可强等;《岩土力学》;20171231;第38卷(第12期);第3649-3661页 *

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