CN106874614A - A kind of EARLY RECOGNITION method of loess shallow failure and application - Google Patents
A kind of EARLY RECOGNITION method of loess shallow failure and application Download PDFInfo
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Abstract
The invention discloses a kind of EARLY RECOGNITION method of loess shallow failure, belong to landslide control engineering technical field, comprise the following steps：A, the basic terrain data that determination slip mass is surveyed and drawn by field investigation, trailing edge area A on the upside of trailing edge gradient β, slip mass on the upside of slip mass gradient α, the bulk area that comes down A, slip massLuWith downside free face gradient γ；B, by U=tan (α β) * (ALu/ A) slow factor U is calculated, β ＜ α in formula；C, as γ ＞ α, with free face, the terrain generalization Assessing parameters T of slip mass is calculated by T=tan (α)+1.25U；D, the Hazard rank of loess shallow failure is divided according to the terrain generalization Assessing parameters T of slip mass, be divided into low, medium and high Three Estate.The present invention has accurately divided Landslide hazard in quantitative mode；Without a large amount of history observation data that landslide occurs, loess shallow failure early stage can be just identified, shorten the early warning reaction time, greatly improve applicability of taking precautions against natural calamities.
Description
Technical field
The present invention relates to landslide control engineering technical field, more particularly to a kind of EARLY RECOGNITION side of loess shallow failure
Method and application.
Background technology
Loess shallow failure is a kind of natural phenomena occurred in Canal in Loess Area.After shallow-layer landslide o earth slope occurs, domatic soil
Body is moved under hillside or roadside, the Architectural Equipment such as residenter house, factory become silted up near burying and impacting, or highway etc., cause pole
Big destruction.
Loess shallow-layer landslide o earth slope generally requires possess three conditions：One is advantageous for shallow-layer soil property cunning
The orographic condition on slope；The second is the soil body material resource of abundance, i.e., loose overlying soil；The third is abundant rainfall enters the soil body.This
A little condition combined influences simultaneously determine the stability of the domatic soil body.Wherein, influence factor bag of the orographic condition to shallow-layer landslide o earth slope
Include：The ramp slope of potential slip mass, slip mass upside gentle slope landform (upside gentle slope, i.e., upper slow lower steep), downside free face (under
Side heavy grade) landform.
At present, research of the domestic and foreign scholars to the orographic condition of shallow failure formation focuses primarily upon grinding for the domatic gradient
Study carefully, be the simple data statistics to its distribution rule, do not further investigate its inherent mechanism, achievement in research is difficult to it
His region.
Publication No. CN 104299367A, publication date is that the Chinese patent literature of on 01 21st, 2015 discloses one kind
Landslide disaster multistage comprehensive monitoring method for early warning, it is characterised in that it is comprised the following steps：(1) number is monitored by historical record
According to Landslide Deformation damage model test, calculate landslide monitoring early warning threshold limit value；Determined to grind according to each index critical exponent
Study carefully the possibility whether area has landslide to occur；(2) if monitoring numerical value is more than critical value；According to each landslide occurrence index, it is determined that
The possibility size that the place and landslide that landslide may occur occur, delimit early-warning and predicting grade；(3) level Four early warning and pre- is determined
Alert boundary region；(4) early warning result is issued, in combination with the precautionary areas mass presdiction and disaster prevention network system, monitoring person liable is directly notified,
Carry out and take precautions against natural calamities, keep away calamity preparation.
Landslide disaster multistage comprehensive monitoring method for early warning disclosed in the patent document is, it is necessary to a large amount of history of generation of coming down are recorded
Record Monitoring Data, then by Landslide Deformation damage model test, calculate landslide monitoring early warning threshold limit value；Further according to each index
Critical exponent determines whether research area has the possibility that landslide occurs, it is necessary to the landslide factor of analysis is more, and whole early warning work is multiple
Miscellaneous, response lag, early warning efficiency is low, takes precautions against natural calamities poor for applicability.
The content of the invention
The present invention is in order to overcome the defect of above-mentioned prior art, there is provided a kind of EARLY RECOGNITION method of loess shallow failure and
Using influence factor and their effects in landslide by considering the slip mass gradient and upper and lower slopes of the invention
Mechanism, establishes the easy hair computation model of more accurate loess shallow failure, and accurately landslide hazard has been divided in quantitative mode
Property；Without a large amount of history observation data that landslide occurs, it becomes possible to loess shallow failure early stage is identified, early warning is shortened
In the reaction time, greatly improve applicability of taking precautions against natural calamities.
The present invention is achieved through the following technical solutions：
A kind of EARLY RECOGNITION method of loess shallow failure, it is characterised in that comprise the following steps：
A, the basic terrain data that determination slip mass is surveyed and drawn by field investigation, slip mass gradient α, the bulk area that comes down A, cunning
Trailing edge area A on the upside of trailing edge gradient β, slip mass on the upside of slopesLuWith downside free face gradient γ；
B, by U=tan (alpha-beta) * (ALu/ A) slow factor U is calculated, β ＜ α in formula；
C, as γ ＞ α, with free face, the terrain generalization for calculating slip mass by T=tan (α)+1.25U differentiates
Factor T；
D, the Hazard rank of loess shallow failure is divided according to the terrain generalization Assessing parameters T of slip mass, drawn
It is divided into low, medium and high Three Estate.
In the step d, Three Estate refers to, as β ＜ α, and γ ＞ α, while during T ＞ 1.35, there is Landslide hazard
It is high；As β ＜ α, and γ ＞ α, while during 1.20 ＜ T≤1.35, there is Landslide hazard medium；As β ＜ α, and γ ＞ α, while T
When≤1.20, generation Landslide hazard is low or as β ＞ α or γ ＜ α, Landslide hazard occurs low.
Early warning of the present invention suitable for the loess shallow-layer landslide o earth slope of the slip mass gradient 40≤α≤55 °.
Further, early warning of the present invention suitable for the loess shallow-layer landslide o earth slope of the slip mass gradient 45≤α≤50 °.
General principle of the invention is as follows：
The gradient is the main factor for influenceing landslide to occur, and the steep slow of the hillside gradient not only influences the poly- of loose fines material
Collection and distribution, and influence slope concentration condition, most loess shallow failure occur in the gradient of 30-55 degree, and the gradient is too
Slow then landslide is short of power, it is impossible to occur；The gradient is too steep, then soil layer cannot assemble enough thickness on domatic, also not slide
Slope occurs.Upper slow landform forms off-load tensioning crack due to reasons such as weathering, hand excavations, be conducive to rain infiltration enter it is shallow
Slip mass, and then cause the soil body gradually saturation and to soften, matric suction and it is anti-subtract intensity and be gradually reduced, locally there is shearing in the soil body
Shear crack is destroyed and produces, rainwater constantly penetrates into these cracks makes its full water, pore water pressure increase to form Super-void Water Pressure
Power, shear crack gradually extends connection and forms shear surface, and soil strength is further reduced, finally to local Rock And Soil because of shear surface
Shearing strength glides less than shear stress along slip band；Downside free face is usually slip mass and cuts outlet port, and rain penetration is entered
Enter the soil body and after lower formation shear surface, be more easy to the insertion at free face and ooze out, and then cause slopes to glide along slope.Therefore, come down
The body gradient, upside gentle slope, downside free face landform etc. can all play a role in landslide, and especially sky is faced in upside gentle slope and downside
Face landform, by considering the influence of topography factor of loess shallow-layer landslide o earth slope comprehensively, landslide danger is accurately divided in quantitative mode
It is dangerous, greatly improve applicability of taking precautions against natural calamities.
Beneficial effects of the present invention are mainly manifested in following aspect：
First, the present invention, the basic terrain data for determining slip mass, slip mass gradient α, slip mass are surveyed and drawn by field investigation
Trailing edge area A on the upside of trailing edge gradient β, slip mass on the upside of area A, slip massLuWith downside free face gradient γ；Pass through U=tan again
(α-β)*(ALu/ A) slow factor U is calculated, β ＜ α in formula；As γ ＞ α, with free face, by T=tan (α)+1.25U
Calculate the terrain generalization Assessing parameters T of slip mass；β ＜ α and γ ＞ α as necessary condition, finally according to the landform of slip mass
Comprehensive distinguishing factor T is divided to the Hazard rank of loess shallow failure, is divided into low, medium and high Three Estate, as
One complete technical scheme, by orographic factor to landslide occurrence degree carry out internal mechanism research, by the slip mass gradient, on
Slow orographic condition is fully incorporated in together, synthetically considers the effect of orographic factor, embodies each factor of influence and mutually closes
System and importance, establish the easy hair computation model of loess shallow failure, and the landform shadow of loess shallow-layer landslide o earth slope is considered comprehensively
The factor of sound, accurately Landslide hazard has been divided in quantitative mode；Without a large amount of history observation data that landslide occurs, it becomes possible to
Loess shallow failure early stage is identified, the early warning reaction time is shortened, wherein T, tan (α), U is dimensionless group,
Can be used under the conditions of various loess shallow-layer landslide o earth slopes, greatly improve its applicability of taking precautions against natural calamities.
2nd, the present invention, as β ＜ α, and γ ＞ α, while during T ＞ 1.35, there is Landslide hazard high；As β ＜ α, and γ ＞
α, while during 1.20 ＜ T≤1.35, there is Landslide hazard medium；As β ＜ α, and γ ＞ α, while during T≤1.20, sliding
Slope is dangerous low or as β ＞ α or γ ＜ α, occurs that Landslide hazard is low, possess free face and it is upper it is slow under steep landform bar
Under part, terrain generalization Assessing parameters T values can effectively differentiate domatic danger, and T values are bigger, dangerous higher；Conversely, T values
Smaller, dangerous lower, by landslide hazard zonation, EARLY RECOGNITION ocular and clear, early warning fineness is high, is more beneficial for carrying
Height is taken precautions against natural calamities applicability.
3rd, the present invention, it is adaptable to the early warning of the loess shallow-layer landslide o earth slope of the slip mass gradient 40≤α≤55 °, hillside
The steep slow of the gradient not only influences the aggregation and distribution of loose fines material, and influences slope concentration condition, if the gradient is too slow,
Landslide is short of power；The gradient is too steep, then soil layer cannot assemble enough thickness on domatic；The slip mass gradient 40≤α≤55 ° this
During individual scope, upper slow landform forms off-load tensioning crack due to reasons such as weathering, enters shallow in slip mass beneficial to rain infiltration, enters
And causing the soil body gradually saturation and to soften, locally there is failure by shear and produces shear crack in the soil body, and rainwater constantly penetrates into crack
Make its full water, it is final to produce landslide, when the slip mass gradient 40≤α≤55 °, the EARLY RECOGNITION degree of accuracy to loess shallow failure
Height, beneficial to taking prophylactico-therapeutic measures in time.
4th, the present invention, it is adaptable to the early warning of the loess shallow-layer landslide o earth slope of the slip mass gradient 45≤α≤50 °, through many
Secondary experiment test, during the specific slip mass gradient 45≤α≤50 °, the EARLY RECOGNITION degree of accuracy to loess shallow failure is high, prevents
Calamity strong applicability.
Brief description of the drawings
The present invention is described in further detail below in conjunction with specification drawings and specific embodiments：
Fig. 1 is orographic factor schematic diagram；
Fig. 2 is the a-a ' generalized sections of Fig. 1；
Wherein：ALu, slip mass upside trailing edge area (m2), A, the bulk area that comes down (m2), α, the slip mass gradient, β, slip mass
The upside trailing edge gradient, γ, the downside free face gradient.
Specific embodiment
Embodiment 1
A kind of EARLY RECOGNITION method of loess shallow failure, comprises the following steps：
A, the basic terrain data that determination slip mass is surveyed and drawn by field investigation, slip mass gradient α, the bulk area that comes down A, cunning
Trailing edge area A on the upside of trailing edge gradient β, slip mass on the upside of slopesLuWith downside free face gradient γ；
B, by U=tan (alpha-beta) * (ALu/ A) slow factor U is calculated, β ＜ α in formula；
C, as γ ＞ α, with free face, the terrain generalization for calculating slip mass by T=tan (α)+1.25U differentiates
Factor T；
D, the Hazard rank of loess shallow failure is divided according to the terrain generalization Assessing parameters T of slip mass, drawn
It is divided into low, medium and high Three Estate.
The basic terrain data for determining slip mass, slip mass gradient α, the bulk area that comes down A, landslide are surveyed and drawn by field investigation
Trailing edge area A on the upside of trailing edge gradient β, slip mass on the upside of bodyLuWith downside free face gradient γ；Pass through U=tan (alpha-beta) * again
(ALu/ A) slow factor U is calculated, β ＜ α in formula；As γ ＞ α, with free face, calculated by T=tan (α)+1.25U
The terrain generalization Assessing parameters T of slip mass；β ＜ α and γ ＞ α sentence as necessary condition, the terrain generalization finally according to slip mass
Other factor T is divided to the Hazard rank of loess shallow failure, is divided into low, medium and high Three Estate, complete as one
Whole technical scheme, carries out internal mechanism research, by the slip mass gradient, upper slow landform by orographic factor to landslide occurrence degree
Condition is fully incorporated in together, synthetically considers the effect of orographic factor, embodies each factor of influence correlation and weight
The property wanted, establishes the easy hair computation model of loess shallow failure, and the influence of topography factor of loess shallow-layer landslide o earth slope is considered comprehensively,
Landslide hazard has accurately been divided in quantitative mode；Without a large amount of history observation data that landslide occurs, it becomes possible to loess
Shallow failure early stage is identified, and shortens the early warning reaction time, and wherein T, tan (α), U is dimensionless group, in various Huangs
Can be used under the conditions of native shallow-layer landslide o earth slope, greatly improve its applicability of taking precautions against natural calamities.
Embodiment 2
A kind of EARLY RECOGNITION method of loess shallow failure, comprises the following steps：
A, the basic terrain data that determination slip mass is surveyed and drawn by field investigation, slip mass gradient α, the bulk area that comes down A, cunning
Trailing edge area A on the upside of trailing edge gradient β, slip mass on the upside of slopesLuWith downside free face gradient γ；
B, by U=tan (alpha-beta) * (ALu/ A) slow factor U is calculated, β ＜ α in formula；
C, as γ ＞ α, with free face, the terrain generalization for calculating slip mass by T=tan (α)+1.25U differentiates
Factor T；
D, the Hazard rank of loess shallow failure is divided according to the terrain generalization Assessing parameters T of slip mass, drawn
It is divided into low, medium and high Three Estate.
In the step d, Three Estate refers to, as β ＜ α, and γ ＞ α, while during T ＞ 1.35, there is Landslide hazard
It is high；As β ＜ α, and γ ＞ α, while during 1.20 ＜ T≤1.35, there is Landslide hazard medium；As β ＜ α, and γ ＞ α, while T
When≤1.20, generation Landslide hazard is low or as β ＞ α or γ ＜ α, Landslide hazard occurs low.
As β ＜ α, and γ ＞ α, while during T ＞ 1.35, there is Landslide hazard high；As β ＜ α, and γ ＞ α, while 1.20
During ＜ T≤1.35, there is Landslide hazard medium；As β ＜ α, and γ ＞ α, while during T≤1.20, there is Landslide hazard low
Or as β ＞ α or γ ＜ α, occur that Landslide hazard is low, possess free face and it is upper it is slow under under steep orographic condition, landform
Comprehensive distinguishing factor T values can effectively differentiate domatic danger, and T values are bigger, dangerous higher；Conversely, T values are smaller, it is dangerous
Property is lower, and by landslide hazard zonation, EARLY RECOGNITION ocular and clear, early warning fineness is high, be more beneficial for raising take precautions against natural calamities it is suitable
The property used.
Embodiment 3
A kind of EARLY RECOGNITION method of loess shallow failure, comprises the following steps：
A, the basic terrain data that determination slip mass is surveyed and drawn by field investigation, slip mass gradient α, the bulk area that comes down A, cunning
Trailing edge area A on the upside of trailing edge gradient β, slip mass on the upside of slopesLuWith downside free face gradient γ；
B, by U=tan (alpha-beta) * (ALu/ A) slow factor U is calculated, β ＜ α in formula；
C, as γ ＞ α, with free face, the terrain generalization for calculating slip mass by T=tan (α)+1.25U differentiates
Factor T；
D, the Hazard rank of loess shallow failure is divided according to the terrain generalization Assessing parameters T of slip mass, drawn
It is divided into low, medium and high Three Estate.
In the step d, Three Estate refers to, as β ＜ α, and γ ＞ α, while during T ＞ 1.35, there is Landslide hazard
It is high；As β ＜ α, and γ ＞ α, while during 1.20 ＜ T≤1.35, there is Landslide hazard medium；As β ＜ α, and γ ＞ α, while T
When≤1.20, generation Landslide hazard is low or as β ＞ α or γ ＜ α, Landslide hazard occurs low.
The present invention is applied to the early warning of the loess shallow-layer landslide o earth slope that slip mass gradient α is 40 °.
Embodiment 4
A kind of EARLY RECOGNITION method of loess shallow failure, comprises the following steps：
A, the basic terrain data that determination slip mass is surveyed and drawn by field investigation, slip mass gradient α, the bulk area that comes down A, cunning
Trailing edge area A on the upside of trailing edge gradient β, slip mass on the upside of slopesLuWith downside free face gradient γ；
B, by U=tan (alpha-beta) * (ALu/ A) slow factor U is calculated, β ＜ α in formula；
C, as γ ＞ α, with free face, the terrain generalization for calculating slip mass by T=tan (α)+1.25U differentiates
Factor T；
D, the Hazard rank of loess shallow failure is divided according to the terrain generalization Assessing parameters T of slip mass, drawn
It is divided into low, medium and high Three Estate.
In the step d, Three Estate refers to, as β ＜ α, and γ ＞ α, while during T ＞ 1.35, there is Landslide hazard
It is high；As β ＜ α, and γ ＞ α, while during 1.20 ＜ T≤1.35, there is Landslide hazard medium；As β ＜ α, and γ ＞ α, while T
When≤1.20, generation Landslide hazard is low or as β ＞ α or γ ＜ α, Landslide hazard occurs low.
Further, the present invention is applied to the early warning of the loess shallow-layer landslide o earth slope that slip mass gradient α is 45 °.
Embodiment 5
A kind of EARLY RECOGNITION method of loess shallow failure, comprises the following steps：
A, the basic terrain data that determination slip mass is surveyed and drawn by field investigation, slip mass gradient α, the bulk area that comes down A, cunning
Trailing edge area A on the upside of trailing edge gradient β, slip mass on the upside of slopesLuWith downside free face gradient γ；
B, by U=tan (alpha-beta) * (ALu/ A) slow factor U is calculated, β ＜ α in formula；
C, as γ ＞ α, with free face, the terrain generalization for calculating slip mass by T=tan (α)+1.25U differentiates
Factor T；
D, the Hazard rank of loess shallow failure is divided according to the terrain generalization Assessing parameters T of slip mass, drawn
It is divided into low, medium and high Three Estate.
In the step d, Three Estate refers to, as β ＜ α, and γ ＞ α, while during T ＞ 1.35, there is Landslide hazard
It is high；As β ＜ α, and γ ＞ α, while during 1.20 ＜ T≤1.35, there is Landslide hazard medium；As β ＜ α, and γ ＞ α, while T
When≤1.20, generation Landslide hazard is low or as β ＞ α or γ ＜ α, Landslide hazard occurs low.
Further, the present invention is applied to the early warning of the loess shallow-layer landslide o earth slope that slip mass gradient α is 50 °.
Embodiment 6
A kind of EARLY RECOGNITION method of loess shallow failure, comprises the following steps：
A, the basic terrain data that determination slip mass is surveyed and drawn by field investigation, slip mass gradient α, the bulk area that comes down A, cunning
Trailing edge area A on the upside of trailing edge gradient β, slip mass on the upside of slopesLuWith downside free face gradient γ；
B, by U=tan (alpha-beta) * (ALu/ A) slow factor U is calculated, β ＜ α in formula；
C, as γ ＞ α, with free face, the terrain generalization for calculating slip mass by T=tan (α)+1.25U differentiates
Factor T；
D, the Hazard rank of loess shallow failure is divided according to the terrain generalization Assessing parameters T of slip mass, drawn
It is divided into low, medium and high Three Estate.
In the step d, Three Estate refers to, as β ＜ α, and γ ＞ α, while during T ＞ 1.35, there is Landslide hazard
It is high；As β ＜ α, and γ ＞ α, while during 1.20 ＜ T≤1.35, there is Landslide hazard medium；As β ＜ α, and γ ＞ α, while T
When≤1.20, generation Landslide hazard is low or as β ＞ α or γ ＜ α, Landslide hazard occurs low.
The present invention is applied to the early warning of the loess shallow-layer landslide o earth slope that slip mass gradient α is 55 °.
The loess plateau landslide of Yan'an area is analyzed using the present invention below：
The Yan'an of Yan'an area, Yanchuan County, Yanzhang County are located at Loess Plateau in Shaanxi Province middle part, belong to typical loessland
Looks area.In July, 2013, Yan'an area meets with rare continuation heavy showers, and heavy showers induces substantial amounts of loess shallow-layer and slides
Slope.
Table 1 is 20 zonule landform parameters of the domestic field investigation of Yan'an city and dangerous differentiation.
Table 1
According to Hazard rank：As β ＜ α, and γ ＞ α, while during T ＞ 1.35, there is Landslide hazard high；As β ＜ α,
And γ ＞ α, while during 1.20 ＜ T≤1.35, there is Landslide hazard medium；As β ＜ α, and γ ＞ α, while during T≤1.20,
Generation Landslide hazard is low or as β ＞ α or γ ＜ α, Landslide hazard occurs low.
T values result of calculation shows in table 1：At 20 in potential landslide zonule, dangerous 11, region high, in danger
Deng 1, it is dangerous low 8.
Contrast actually occurs situation, and all 11 danger zonules high (are shown in Table 1：Numbering 1-11) all there occurs cunning
Slope；The medium zonule of 1 danger, there occurs that landslide (is shown in Table 1：Numbering 12)；8 low regions of danger (are shown in Table 1：Compile
Number 13-20) all do not come down.
Table 2 is Yanchuan zonule terrain parameter and dangerous differentiation.
Table 2
According to Hazard rank：As β ＜ α, and γ ＞ α, while during T ＞ 1.35, there is Landslide hazard high；As β ＜ α,
And γ ＞ α, while during 1.20 ＜ T≤1.35, there is Landslide hazard medium；As β ＜ α, and γ ＞ α, while during T≤1.20,
Generation Landslide hazard is low or as β ＞ α or γ ＜ α, Landslide hazard occurs low.
T values result of calculation shows in table 2：At 20 in potential landslide zonule, dangerous 11, region high, in danger
Deng 2, it is dangerous low 7.
Contrast actually occurs situation, and all 11 danger zonules high (are shown in Table 2：Numbering 1-10 and numbering 12) all send out
Landslide is given birth to；The medium zonule of 2 danger, there occurs that landslide (is shown in Table 2：Numbering 11,13)；The low region of 7 danger
(it is shown in Table 2：Numbering 14-20) all do not come down.
Table 3 is extension zonule terrain parameter and dangerous differentiation.
Table 3
According to Hazard rank：As β ＜ α, and γ ＞ α, while during T ＞ 1.35, there is Landslide hazard high；As β ＜ α,
And γ ＞ α, while during 1.20 ＜ T≤1.35, there is Landslide hazard medium；As β ＜ α, and γ ＞ α, while during T≤1.20,
Generation Landslide hazard is low or as β ＞ α or γ ＜ α, Landslide hazard occurs low.
T values result of calculation shows in table 3：At 20 in potential landslide zonule, dangerous 12, region high is dangerous low
8.
Contrast actually occurs situation, and all 12 danger zonules high (are shown in Table 3：Numbering 1-12) all there occurs cunning
Slope；8 low regions of danger (are shown in Table 3：Numbering 13-20) all do not come down.
In sum, it is higher to the EARLY RECOGNITION accuracy of loess shallow failure using the method for the invention.
Claims (4)
1. a kind of EARLY RECOGNITION method of loess shallow failure, it is characterised in that comprise the following steps：
A, the basic terrain data that determination slip mass is surveyed and drawn by field investigation, slip mass gradient α, the bulk area that comes down A, slip mass
Upside trailing edge gradient β, slip mass upside trailing edge area ALuWith downside free face gradient γ；
B, by U=tan (alpha-beta) * (ALu/ A) slow factor U is calculated, β ＜ α in formula；
C, as γ ＞ α, with free face, the terrain generalization Assessing parameters of slip mass are calculated by T=tan (α)+1.25U
T；
D, the Hazard rank of loess shallow failure is divided according to the terrain generalization Assessing parameters T of slip mass, be divided into
Low, medium and high Three Estate.
2. the EARLY RECOGNITION method of a kind of loess shallow failure according to claim 1, it is characterised in that：The step d
In, Three Estate refers to, as β ＜ α, and γ ＞ α, while during T ＞ 1.35, there is Landslide hazard high；As β ＜ α, and γ ＞ α,
Simultaneously during 1.20 ＜ T≤1.35, there is Landslide hazard medium；As β ＜ α, and γ ＞ α, while during T≤1.20, coming down
Danger is low or as β ＞ α or γ ＜ α, Landslide hazard occurs low.
3. the application of the EARLY RECOGNITION method of a kind of loess shallow failure according to claim 1, it is characterised in that：It is applicable
In the early warning of the loess shallow-layer landslide o earth slope of the slip mass gradient 40≤α≤55 °.
4. the application of the EARLY RECOGNITION method of a kind of loess shallow failure according to claim 3, it is characterised in that：It is applicable
In the early warning of the loess shallow-layer landslide o earth slope of the slip mass gradient 45≤α≤50 °.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108776742A (en) * | 2018-06-22 | 2018-11-09 | 成都理工大学 | Phyllite manually cuts slope Landslide hazard judgment method and application |
| CN108829991A (en) * | 2018-06-22 | 2018-11-16 | 成都理工大学 | A kind of sandstone cuts slope Landslide hazard judgment method and its application |
| CN114036777A (en) * | 2021-11-26 | 2022-02-11 | 成都理工大学 | Early identification method for shallow soil landslide |
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| CN104805846A (en) * | 2015-04-24 | 2015-07-29 | 成都理工大学 | Danger division method and application of near-surface soil landslide |
| CN105512443A (en) * | 2016-01-28 | 2016-04-20 | 成都理工大学 | Method for judging dangerousness of shallow soil landslide |
| CN106203724A (en) * | 2016-07-19 | 2016-12-07 | 成都理工大学 | A kind of forecasting procedure of shallow top layer landslide o earth slope |
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| KR101390354B1 (en) * | 2013-12-10 | 2014-04-30 | 산림조합중앙회 | Method for stabilizing forest hillslope and siffening structure thereof |
| CN104805846A (en) * | 2015-04-24 | 2015-07-29 | 成都理工大学 | Danger division method and application of near-surface soil landslide |
| CN105512443A (en) * | 2016-01-28 | 2016-04-20 | 成都理工大学 | Method for judging dangerousness of shallow soil landslide |
| CN106203724A (en) * | 2016-07-19 | 2016-12-07 | 成都理工大学 | A kind of forecasting procedure of shallow top layer landslide o earth slope |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108776742A (en) * | 2018-06-22 | 2018-11-09 | 成都理工大学 | Phyllite manually cuts slope Landslide hazard judgment method and application |
| CN108829991A (en) * | 2018-06-22 | 2018-11-16 | 成都理工大学 | A kind of sandstone cuts slope Landslide hazard judgment method and its application |
| CN114036777A (en) * | 2021-11-26 | 2022-02-11 | 成都理工大学 | Early identification method for shallow soil landslide |
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Application publication date: 20170620 |