CN105701975B - A kind of Based on Red Bed shallow-layer landslide o earth slope method for early warning - Google Patents
A kind of Based on Red Bed shallow-layer landslide o earth slope method for early warning Download PDFInfo
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Abstract
The invention discloses a kind of Based on Red Bed shallow-layer landslide o earth slope method for early warning, belong to landslide control engineering technical field, include the following steps：Using Based on Red Bed slip mass and non-slip mass as respondent, gradient α, landslide bulk area A, top gradient β, the top area A of slip mass and non-slip mass are measuredu, lateral left side gradient θ1, lateral right side gradient θ2, lateral left side area AL, lateral right side area ARWith the terraced fields area A' on slip mass；Slope factor S, upper side factor U, both sides factor C, terrain factor T, rainfall factor R are calculated, Based on Red Bed is calculated and induces the critical value Cr of shallow-layer landslide o earth slope and carry out condition distinguishing, determine landslide grade, issue warning signal.The present invention has fully considered the comprehensive function of two conditions of terrain factor and the rainfall factor, and obtained Cr, which meets, induces shallow failure mechanism, and the early warning accuracy that not only comes down is high, but also greatly shortens the early warning reaction time, improves applicability of taking precautions against natural calamities.
Description
Technical field
The present invention relates to landslide control engineering technical fields more particularly to a kind of Based on Red Bed to be based on rain time peace
The shallow-layer landslide o earth slope method for early warning of equal rainfall intensity.
Background technology
Based on Red Bed is made of the interaction such as verrucano, glutenite, siltstone, arenaceous shale and mud stone, belongs to typical layer
Shape rock mass, the attitude of rocks are mostly gentle.The landslide o earth slope of Based on Red Bed is mainly based on shallow-layer landslide o earth slope, such slope overlying
Soil layer is thin, and rock stratum, which is delayed, inclines, and tends to occur slide on a large scale under intense rainfall condition.It is happened at Based on Red Bed and covers interface concordant along base
The shallow-layer landslide o earth slope of slip occurs mainly in the special area of 1-5m, this kind of landslide and rainfall infiltration have it is important be associated with, cunning
The parameter selection on slope is also related with this mechanism.
Rainfall is mainly built upon to slide prediction both at home and abroad at present in the influence on slope, and proposes many models,
Such as：Infiltration Model, the Horton [1933] that Green and Ampt (1911) has been initially set up under the conditions of ponding establish through
Test Infiltration Model, Philip (1957) proposes famous Richards equations, however influence slope slide factor not only
It is that condition of raining can control, there is significant limitation.Under same geological conditions, orographic condition equally has can not
The effect of replacement, so the considerations of system is wanted in the research for landslide condition of raining and orographic condition, analyze its rule, so as to
Go out the model of applicability and predict the generation of Based on Red Bed shallow-layer landslide o earth slope.
Publication No. CN 101598721, publication date disclose one kind for the Chinese patent literature on December 09th, 2009 and exist
Method for forecasting stability of soil slope under condition of raining establishes stability of soil slope governing factor by 11 parameters first
Consolidated statement, then analyzed by stability of soil slope governing factor mathematical regression, each governing factor anti-flood capacity grade form is established,
Then by Regional Landslide and rainfall relational surveys statistical analysis, effective precipitation threshold values when obtaining landslide is finally according to anti-
Big vast ability grade form with reference to various rainfall rules and feature, establishes stability alert level of the native side slope under condition of raining
Figure according to stability alert level figure of the native side slope under condition of raining, carries out the stability status residing for a certain side slope pre-
Survey forecast.
Method for forecasting stability of soil slope disclosed in the patent document is not accounted for and is existed in rainfall or extreme rainfall
Difference last under the conditions of hysteresis impact on slope stability, landslide failure prediction lag, it is impossible to landslide early warning make
Go out most fast reaction, take precautions against natural calamities poor for applicability.
Publication No. CN 104299367A, publication date are that the Chinese patent literature of on 01 21st, 2015 discloses one kind
Landslide disaster multistage comprehensive monitoring method for early warning, which is characterized in that it includes 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；It determines 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, determine
Come down the possibility size that the place that may occur and landslide occur, and delimit early-warning and predicting grade；(3) level Four early warning and pre- is determined
Alert boundary region；(4) early warning is issued as a result, in combination with the precautionary areas mass presdiction and disaster prevention network system, directly notice monitors person liable,
It carries out and takes precautions against natural calamities, keeps away calamity preparation.
Landslide disaster multistage comprehensive monitoring method for early warning disclosed in the patent document needs a large amount of history that landslide occurs to record
Monitoring data are recorded, then by Landslide Deformation damage model test, calculate landslide monitoring early warning threshold limit value；Further according to each index
Critical exponent determines the possibility whether research area has landslide to occur, and needs the landslide factor analyzed more, and entire early warning work is multiple
Miscellaneous, response lag, early warning efficiency is low, takes precautions against natural calamities poor for applicability.
Invention content
The defects of present invention is in order to overcome the above-mentioned prior art provides a kind of pre- police of Based on Red Bed shallow-layer landslide o earth slope
Method, the present invention has fully considered the comprehensive function of two conditions of terrain factor and the rainfall factor, and the effect of two conditions is united
It comes together to form the forecasting model that Based on Red Bed induces shallow-layer landslide o earth slope, obtained Based on Red Bed induces shallow-layer landslide o earth slope
Critical value, which more meets, induces shallow failure mechanism, and without a large amount of conception of history measured data for generation of coming down, early warning of not only coming down is accurate
Property it is high, and greatly shorten the early warning reaction time, improve applicability of taking precautions against natural calamities.
The present invention is achieved through the following technical solutions：
A kind of Based on Red Bed shallow-layer landslide o earth slope method for early warning, which is characterized in that include the following steps：
A, using Based on Red Bed slip mass and non-slip mass as respondent, measure slip mass and non-slip mass gradient α,
The bulk area that comes down A, top gradient β, top area Au, lateral left side gradient θ1, lateral right side gradient θ2, lateral left side area AL、
Laterally right side area ARWith the terraced fields area A' on slip mass；
B, according to formula 1 calculate Based on Red Bed induce shallow-layer landslide o earth slope terrain factor T in slope factor S, according to formula 2
It calculates upper side factor U, both sides factor C is calculated according to formula 3, compared by orographic condition and determine free face factor F, there is free face
F is 0.1, and no free face F is 0；
S=tan α (formula 1)
C, show that Based on Red Bed induces the terrain factor T of shallow-layer landslide o earth slope according to step b；
T=S+U+0.2C+F (formula 4)
D, rainfall factor R is calculated according to formula 5；
Wherein, I0For the maximum one hour heavy rain mean value of respondent, determined by consulting hydrologic manual；I is 1 hourly average
Rainfall is measured by rainfall gauge；D is rainfall duration, is measured by rainfall gauge；D0For 1 hour unit time；
E, comprehensive terrain factor T and rainfall factor R calculate Based on Red Bed by formula 6 and induce the critical of shallow-layer landslide o earth slope
Value Cr；
Cr=RT0.8(formula 6)
F, the critical value Cr sizes that shallow-layer landslide o earth slope is induced according to the Based on Red Bed that step e obtains carry out condition distinguishing,
It determines landslide grade, and issues warning signal.
Landslide grade in the step f is followed successively by green warning grade, yellow warning grade, orange warning grade and red
Color warning grade.
Pre-warning signal in the step f is determined by condition distinguishing, when Based on Red Bed induces facing for shallow-layer landslide o earth slope
Dividing value Cr ＜ 1.95, possibility very little for green warning grade, send out green safe signal；When Based on Red Bed induces shallow soil
1.95≤Cr of critical value ＜ 2.55 on matter landslide, possibility is small, is yellow warning grade, sends out yellow pre-warning signal；Work as red beds
Area induces 2.55≤Cr of critical value ＜ 3.45 of shallow-layer landslide o earth slope, and possibility is medium, is orange warning grade, sends out orange
Pre-warning signal；When Based on Red Bed induces critical value Cr >=3.45 of shallow-layer landslide o earth slope, possibility is big, is red early warning grade,
Send out red early warning signal.
Early warning basic principle of the present invention is as follows：
Under the premise of identical geological conditions, induce shallow-layer landslide o earth slope and mainly determined by orographic condition and condition of raining,
Two conditions are indispensable, and shallow-layer landslide o earth slope is induced under collective effect.The present invention has fully considered the synthesis of the two conditions
Effect, and the effect of two conditions is united to form the forecasting model that Based on Red Bed induces shallow-layer landslide o earth slope；Through a large amount of
Field investigation research, analysis determine for set shallow-layer landslide o earth slope and for not coming down, obtained orographic condition and rainfall
The functional relation 6 of condition, the critical value Cr sizes that shallow-layer landslide o earth slope is induced by Based on Red Bed carry out condition distinguishing, determine
Come down grade, and issues warning signal, and completes entire early warning work.
Beneficial effects of the present invention are mainly manifested in following aspect：
First, it is of the invention, when the shallow-layer landslide o earth slope early warning applied to Based on Red Bed, pass sequentially through step a-e, it will be able to
The critical value Cr that Based on Red Bed induces shallow-layer landslide o earth slope is calculated, it is shallow due to being induced for Based on Red Bed for the prior art
The measuring and calculating of the critical value Cr of layer landslide o earth slope considers the two big factor of terrain factor T and rainfall factor R on initiation landslide simultaneously
It acts on and its influences each other, and the effect of two conditions is united to form the forecast that Based on Red Bed induces shallow-layer landslide o earth slope
Model, the critical value Cr that the Based on Red Bed obtained induces shallow-layer landslide o earth slope more meet induction shallow failure mechanism, early warning of coming down
Accuracy higher；And for set unstable slope, shallow-layer soil property is induced using the method for the present invention measuring and calculating Based on Red Bed
The critical value Cr on landslide does not need to a large amount of conception of history measured data that landslide occurs, it is only necessary to determine the ground of Based on Red Bed observation area
Shape factor T and rainfall factor R, most fast reaction can be made by inducing shallow failure early warning for Based on Red Bed, greatly
Improve Disaster Defense Capability.
2nd, it is of the invention, fully consider terrain factor T and rainfall factor R, the I in rainfall factor R0For respondent most
Big one hour heavy rain mean value, is determined by consulting hydrologic manual, and I is 1 hourly average rainfall, is measured by rainfall gauge, and D is drop
Rain lasts, and is measured by rainfall gauge, D0For 1 hour unit time, rainfall factor R can quickly be calculated very much, by
Based on Red Bed is calculated under existing orographic condition and condition of raining to induce the critical value Cr of shallow-layer landslide o earth slope and carry out condition
Differentiate, can most judge soon induce shallow failure possibility size region, compared with the prior art for landslide early warning only
Only for condition of raining consideration, not only accuracy higher, but also can make most fast reaction, early warning high sensitivity is taken precautions against natural calamities
Strong applicability.
3rd, of the invention, the slope factor S in terrain factor T is extremely important because the gradient on many landslides in Based on Red Bed compared with
Slow, upper side factor U no less importants, due to being shallow failure, lateral canyon topography is more than horizontal stroke for the effect that collects of flow
To free face influence, therefore lateral recesses landform is conducive to the formation on landslide, but the effect of lateral landform is smaller, both sides because
Sub- C importance is smaller, and the terrain factor T being calculated by formula 4 meets landslide mechanism, has objectively landslide early warning reference price
Value with reference to rainfall factor R, greatly improves landslide early warning accuracy；Based on Red Bed induces shallow-layer soil property and slides in the present invention
The determining factor for having fully considered set two big induced landslide of unstable slope of the critical value Cr on slope, in not a large amount of prisons early period
Also it can determine that the Critical Rainfall on the slope on the basis of measured data, greatly improve applicability of taking precautions against natural calamities.
4th, of the invention, rainfall factor R and terrain factor T are calculated by the data of measurement, and measurement data is less, nothing
Need to come down a large amount of conception of history measured data of generation, greatly shorten the early warning reaction time, improve early warning sensitivity and take precautions against natural calamities
Applicability.
5th, it is of the invention, condition is carried out by the critical value Cr that the Based on Red Bed being calculated is induced to shallow-layer landslide o earth slope
Differentiate, determine landslide grade, and send out corresponding pre-warning signal, when Based on Red Bed induces the critical value of shallow-layer landslide o earth slope
Cr ＜ 1.95, possibility very little for green warning grade, send out green safe signal；It is slided when Based on Red Bed induces shallow-layer soil property
1.95≤Cr of critical value ＜ 2.55 on slope, possibility is small, is yellow warning grade, sends out yellow pre-warning signal；Work as Based on Red Bed
2.55≤Cr of critical value ＜ 3.45 of shallow-layer landslide o earth slope are induced, possibility is medium, is orange warning grade, sends out orange warning
Signal；When Based on Red Bed induces critical value Cr >=3.45 of shallow-layer landslide o earth slope, possibility is big, is red early warning grade, sends out
Red early warning signal, early warning effect ocular and clear, early warning fineness is high, greatly improves applicability of taking precautions against natural calamities.
Description of the drawings
The present invention is described in further detail below in conjunction with specification drawings and specific embodiments, wherein：
Fig. 1 schemes for slip mass respondent of the present invention；
Fig. 2 is the A-A diagrammatic cross-sections of Fig. 1；
Fig. 3 is the B-B diagrammatic cross-sections of Fig. 1；
Wherein：AuFor top area, A is landslide bulk area, ALFor laterally left side area, ARIt is for laterally right side area, F
The free face factor, α are the gradient of slip mass and non-slip mass, and β is the top gradient, θ1For the laterally left side gradient, θ2For lateral right side
The gradient.
Specific embodiment
Embodiment 1
Referring to Fig. 1-Fig. 3, a kind of Based on Red Bed shallow-layer landslide o earth slope method for early warning includes the following steps：
A, using Based on Red Bed slip mass and non-slip mass as respondent, measure slip mass and non-slip mass gradient α,
The bulk area that comes down A, top gradient β, top area Au, lateral left side gradient θ1, lateral right side gradient θ2, lateral left side area AL、
Laterally right side area ARWith the terraced fields area A' on slip mass；
B, according to formula 1 calculate Based on Red Bed induce shallow-layer landslide o earth slope terrain factor T in slope factor S, according to formula 2
It calculates upper side factor U, both sides factor C is calculated according to formula 3, compared by orographic condition and determine free face factor F, there is free face
F is 0.1, and no free face F is 0；
S=tan α (formula 1)
C, show that Based on Red Bed induces the terrain factor T of shallow-layer landslide o earth slope according to step b；
T=S+U+0.2C+F (formula 4)
D, rainfall factor R is calculated according to formula 5；
Wherein, I0For the maximum one hour heavy rain mean value of respondent, determined by consulting hydrologic manual；I is 1 hourly average
Rainfall is measured by rainfall gauge；D is rainfall duration, is measured by rainfall gauge；D0For 1 hour unit time；
E, comprehensive terrain factor T and rainfall factor R calculate Based on Red Bed by formula 6 and induce the critical of shallow-layer landslide o earth slope
Value Cr；
Cr=RT0.8(formula 6)
F, the critical value Cr sizes that shallow-layer landslide o earth slope is induced according to the Based on Red Bed that step e obtains carry out condition distinguishing,
It determines landslide grade, and issues warning signal.
The present embodiment is most basic embodiment, under the premise of identical geological conditions, induces shallow-layer landslide o earth slope master
It to be determined by orographic condition and condition of raining, two conditions are indispensable, and shallow-layer landslide o earth slope is induced under collective effect.The present invention
It has fully considered the comprehensive function of the two conditions, and the effect of two conditions is united to form Based on Red Bed induction shallow-layer
The forecasting model of landslide o earth slope；It is studied through a large amount of field investigation, analysis is determined for set shallow-layer landslide o earth slope and do not come down
For, the functional relation 6 of orographic condition and condition of raining has been obtained, the critical of shallow-layer landslide o earth slope is induced by Based on Red Bed
Value Cr sizes carry out condition distinguishing, determine landslide grade, and issue warning signal, and complete entire early warning work.
When the shallow-layer landslide o earth slope early warning applied to Based on Red Bed, step a-e is passed sequentially through, it will be able to calculating red beds
Area induces the critical value Cr of shallow-layer landslide o earth slope, for the prior art, due to inducing shallow-layer landslide o earth slope for Based on Red Bed
Critical value Cr measuring and calculating simultaneously consider cause landslide two big factor of terrain factor T and rainfall factor R effect and its phase
It mutually influences, and the effect of two conditions is united to form the forecasting model that Based on Red Bed induces shallow-layer landslide o earth slope, obtain
Based on Red Bed induce the critical value Cr of shallow-layer landslide o earth slope and more meet and induce shallow failure mechanism, landslide early warning accuracy is more
It is high；And for set unstable slope, facing for shallow-layer landslide o earth slope is induced using the method for the present invention measuring and calculating Based on Red Bed
Dividing value Cr does not need to a large amount of conception of history measured data that landslide occurs, it is only necessary to determine the terrain factor T of Based on Red Bed observation area
With rainfall factor R, most fast reaction can be made by inducing shallow failure early warning for Based on Red Bed, be greatly improved anti-
Calamity ability.
Embodiment 2
Referring to Fig. 1-Fig. 3, a kind of Based on Red Bed shallow-layer landslide o earth slope method for early warning includes the following steps：
A, using Based on Red Bed slip mass and non-slip mass as respondent, measure slip mass and non-slip mass gradient α,
The bulk area that comes down A, top gradient β, top area Au, lateral left side gradient θ1, lateral right side gradient θ2, lateral left side area AL、
Laterally right side area ARWith the terraced fields area A' on slip mass；
B, according to formula 1 calculate Based on Red Bed induce shallow-layer landslide o earth slope terrain factor T in slope factor S, according to formula 2
It calculates upper side factor U, both sides factor C is calculated according to formula 3, compared by orographic condition and determine free face factor F, there is free face
F is 0.1, and no free face F is 0；
S=tan α (formula 1)
C, show that Based on Red Bed induces the terrain factor T of shallow-layer landslide o earth slope according to step b；
T=S+U+0.2C+F (formula 4)
D, rainfall factor R is calculated according to formula 5；
Wherein, I0For the maximum one hour heavy rain mean value of respondent, determined by consulting hydrologic manual；I is 1 hourly average
Rainfall is measured by rainfall gauge；D is rainfall duration, is measured by rainfall gauge；D0For 1 hour unit time；
E, comprehensive terrain factor T and rainfall factor R calculate Based on Red Bed by formula 6 and induce the critical of shallow-layer landslide o earth slope
Value Cr；
Cr=RT0.8(formula 6)
F, the critical value Cr sizes that shallow-layer landslide o earth slope is induced according to the Based on Red Bed that step e obtains carry out condition distinguishing,
It determines landslide grade, and issues warning signal.
Landslide grade in the step f is followed successively by green warning grade, yellow warning grade, orange warning grade and red
Color warning grade.
The present embodiment is a preferable embodiment, has fully considered terrain factor T and rainfall factor R, in rainfall factor R
I0For the maximum one hour heavy rain mean value of respondent, determined by consulting hydrologic manual, I is 1 hourly average rainfall, is passed through
Rainfall gauge measures, and D is rainfall duration, is measured by rainfall gauge, D0For 1 hour unit time, rainfall factor R can very quickly
It is calculated, induces the critical of shallow-layer landslide o earth slope by calculating Based on Red Bed under existing orographic condition and condition of raining
Value Cr simultaneously carries out condition distinguishing, can most judge to induce the region of the possibility size of shallow failure soon, compared with the prior art pair
In landslide early warning only from condition of raining consideration for, not only accuracy higher, but also most fast reaction, early warning can be made
High sensitivity, strong applicability of taking precautions against natural calamities.
Embodiment 3
Referring to Fig. 1-Fig. 3, a kind of Based on Red Bed shallow-layer landslide o earth slope method for early warning includes the following steps：
A, using Based on Red Bed slip mass and non-slip mass as respondent, measure slip mass and non-slip mass gradient α,
The bulk area that comes down A, top gradient β, top area Au, lateral left side gradient θ1, lateral right side gradient θ2, lateral left side area AL、
Laterally right side area ARWith the terraced fields area A' on slip mass；
B, according to formula 1 calculate Based on Red Bed induce shallow-layer landslide o earth slope terrain factor T in slope factor S, according to formula 2
It calculates upper side factor U, both sides factor C is calculated according to formula 3, compared by orographic condition and determine free face factor F, there is free face
F is 0.1, and no free face F is 0；
S=tan α (formula 1)
C, show that Based on Red Bed induces the terrain factor T of shallow-layer landslide o earth slope according to step b；
T=S+U+0.2C+F (formula 4)
D, rainfall factor R is calculated according to formula 5；
Wherein, I0For the maximum one hour heavy rain mean value of respondent, determined by consulting hydrologic manual；I is 1 hourly average
Rainfall is measured by rainfall gauge；D is rainfall duration, is measured by rainfall gauge；D0For 1 hour unit time；
E, comprehensive terrain factor T and rainfall factor R calculate Based on Red Bed by formula 6 and induce the critical of shallow-layer landslide o earth slope
Value Cr；
Cr=RT0.8(formula 6)
F, the critical value Cr sizes that shallow-layer landslide o earth slope is induced according to the Based on Red Bed that step e obtains carry out condition distinguishing,
It determines landslide grade, and issues warning signal.
Landslide grade in the step f is followed successively by green warning grade, yellow warning grade, orange warning grade and red
Color warning grade.
Pre-warning signal in the step f is determined by condition distinguishing, when Based on Red Bed induces facing for shallow-layer landslide o earth slope
Dividing value Cr ＜ 1.95, possibility very little for green warning grade, send out green safe signal；When Based on Red Bed induces shallow soil
1.95≤Cr of critical value ＜ 2.55 on matter landslide, possibility is small, is yellow warning grade, sends out yellow pre-warning signal；Work as red beds
Area induces 2.55≤Cr of critical value ＜ 3.45 of shallow-layer landslide o earth slope, and possibility is medium, is orange warning grade, sends out orange
Pre-warning signal；When Based on Red Bed induces critical value Cr >=3.45 of shallow-layer landslide o earth slope, possibility is big, is red early warning grade,
Send out red early warning signal.
The present embodiment is preferred forms, and the slope factor S in terrain factor T is extremely important, because Based on Red Bed is permitted
The gradient more to come down is relatively slow, and upper side factor U no less importants, due to being shallow failure, lateral canyon topography is for flow
Collect influence of the effect more than lateral free face, therefore lateral recesses landform is conducive to the formation on landslide, but lateral landform
Effect is smaller, and both sides factor C importance is smaller, and the terrain factor T being calculated by formula 4 meets landslide mechanism, has objective
Come down early warning reference value, with reference to rainfall factor R, greatly improves landslide early warning accuracy；Based on Red Bed in the present invention
The determining factor for having fully considered set two big induced landslide of unstable slope of the critical value Cr of shallow-layer landslide o earth slope is induced,
There is no the Critical Rainfall that yet can determine that the slope on the basis of a large amount of monitoring data early period, greatly improve applicability of taking precautions against natural calamities.
Rainfall factor R and terrain factor T are calculated by the data of measurement, and measurement data is less, and a large amount of without generation of coming down go through
History observes data, greatly shortens the early warning reaction time, improves early warning sensitivity and applicability of taking precautions against natural calamities.By that will calculate
The critical value Cr that the Based on Red Bed arrived induces shallow-layer landslide o earth slope carries out condition distinguishing, determines landslide grade, and sends out corresponding etc.
The pre-warning signal of grade, when Based on Red Bed induces the critical value Cr ＜ 1.95 of shallow-layer landslide o earth slope, possibility very little, for green early warning
Grade sends out green safe signal；When Based on Red Bed induces 1.95≤Cr of critical value ＜ 2.55 of shallow-layer landslide o earth slope, possibility
It is small, it is yellow warning grade, sends out yellow pre-warning signal；When Based on Red Bed induces 2.55≤Cr of critical value of shallow-layer landslide o earth slope
＜ 3.45, possibility is medium, is orange warning grade, sends out orange warning signal；When Based on Red Bed induces shallow-layer landslide o earth slope
Critical value Cr >=3.45, possibility is big, is red early warning grade, sends out red early warning signal, early warning effect ocular and clear, in advance
Alert fineness is high, greatly improves applicability of taking precautions against natural calamities.
Using the present invention to Based on Red Bed shallow-layer landslide o earth slope early warning, early warning effect analysis is as follows：
In the September, 2011 of field research in 2015 is happened at Sichuan Province Bazhong City Nanjiang County Dong Yupu's for 16-18 days
Part landslide is conducive to landslide but the point without coming down with some in landform, wherein have 21 shallow-layer landslide o earth slopes,
And neighbouring 44 do not come down a little.These points obtain terrain factor T for comparative study：Investigate slip mass and non-slip mass
Gradient α, landslide bulk area A, top gradient β, top area Au, lateral left side gradient θ1, lateral right side gradient θ2, it is laterally left
Lateral area AL, lateral right side area ARAnd whether there is free face.After in September, 2011 rainfall data of 16-18 days is had collected,
The rainfall factor R in Dong Yupu is determined：One hour heavy rain mean value I of maximum0, rainfall duration D, 1 hourly average rainfall I, D0=
1 hour, for occurrence referring to table 1, table 1 was Dong Yupu landslides and non-land slide data table.
Table 1
Come down the comparing result judged, referring to table 2.
Table 2
As can be seen from Table 2：It is all landslide point be located at possibility it is medium more than, Cr >=2.55；And it misjudges as landslide
It does not come down and a little only accounts for 2.3%, Cr >=3.45, most of point not come down is located at possibility low middling, and Cr ＜ 2.55 show to lead to
It crosses using method for early warning of the present invention, false determination ratio and misdetection rate can greatly be reduced, ensure landslide early warning reliability.
Claims (1)
1. a kind of Based on Red Bed shallow-layer landslide o earth slope method for early warning, which is characterized in that include the following steps：
A, using Based on Red Bed slip mass and non-slip mass as respondent, gradient α, the landslide of slip mass and non-slip mass are measured
Bulk area A, top gradient β, top area Au, lateral left side gradient θ1, lateral right side gradient θ2, lateral left side area AL, laterally
Right side area ARWith the terraced fields area A' on slip mass；
B, the slope factor S in the terrain factor T of Based on Red Bed induction shallow-layer landslide o earth slope is calculated according to formula 1, is calculated according to formula 2
Upper side factor U, both sides factor C is calculated according to formula 3, is compared by orographic condition and determine free face factor F, there is the free face F to be
0.1, no free face F are 0；
S=tan α (formula 1)
C, show that Based on Red Bed induces the terrain factor T of shallow-layer landslide o earth slope according to step b；
T=S+U+0.2C+F (formula 4)
D, rainfall factor R is calculated according to formula 5；
Wherein, I0For the maximum one hour heavy rain mean value of respondent, determined by consulting hydrologic manual；I is 1 hourly average rainfall
Amount, is measured by rainfall gauge；D is rainfall duration, is measured by rainfall gauge；D0For 1 hour unit time；
E, comprehensive terrain factor T and rainfall factor R calculate the critical value Cr of Based on Red Bed induction shallow-layer landslide o earth slope by formula 6；
Cr=RT0.8(formula 6)
F, the critical value Cr sizes that shallow-layer landslide o earth slope is induced according to the Based on Red Bed that step e obtains carry out condition distinguishing, determine
Come down grade, and issues warning signal；
It is pre- that landslide grade in the step f is followed successively by green warning grade, yellow warning grade, orange warning grade and red
Alert grade；
Pre-warning signal in the step f is determined by condition distinguishing, when Based on Red Bed induces the critical value of shallow-layer landslide o earth slope
Cr ＜ 1.95, possibility very little for green warning grade, send out green safe signal；It is slided when Based on Red Bed induces shallow-layer soil property
1.95≤Cr of critical value ＜ 2.55 on slope, possibility is small, is yellow warning grade, sends out yellow pre-warning signal；Work as Based on Red Bed
2.55≤Cr of critical value ＜ 3.45 of shallow-layer landslide o earth slope are induced, possibility is medium, is orange warning grade, sends out orange warning
Signal；When Based on Red Bed induces critical value Cr >=3.45 of shallow-layer landslide o earth slope, possibility is big, is red early warning grade, sends out
Red early warning signal.
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| CN106203724B (en) * | 2016-07-19 | 2019-09-27 | 成都理工大学 | A kind of forecasting procedure of superficial layer landslide o earth slope |
| CN107476275B (en) * | 2017-08-29 | 2020-01-10 | 成都理工大学 | Early warning method for rock landslide in red zone and application thereof |
| CN107545329A (en) * | 2017-09-01 | 2018-01-05 | 成都理工大学 | A kind of Based on Red Bed Debris Flow on Slope Surface forecasting procedure and application |
| CN108831114A (en) * | 2018-06-22 | 2018-11-16 | 成都理工大学 | A kind of phyllite manually cuts hill wash slope method for early warning and application |
| CN108831113A (en) * | 2018-06-22 | 2018-11-16 | 成都理工大学 | Sandstone cuts hill wash slope method for early warning and application |
| CN108564771A (en) * | 2018-06-22 | 2018-09-21 | 江西省气象台 | Manually cut landslide method for early warning and the application on slope in Slate Area |
| CN108615335A (en) * | 2018-06-22 | 2018-10-02 | 成都理工大学 | Cut landslide method for early warning and the application on slope in a kind of In The Granite Area |
| CN110412241B (en) * | 2019-06-14 | 2022-04-05 | 成都理工大学 | Early warning method for rocky landslide of soft interlayer sliding surface and application of early warning method |
| CN114141001B (en) * | 2021-11-26 | 2022-09-16 | 成都理工大学 | Early warning method for shallow soil landslide based on digital topographic map and application |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101363730A (en) * | 2008-08-07 | 2009-02-11 | 北京林业大学 | Investigation and sortation method for disaster danger area in mountanious region |
| CN103955613A (en) * | 2014-04-29 | 2014-07-30 | 国家电网公司 | Evaluating method for regional landslide geological disaster risk grading of power grid project |
| CN104299367A (en) * | 2014-10-23 | 2015-01-21 | 中国科学院、水利部成都山地灾害与环境研究所 | Landslide hazard multi-stage comprehensive monitoring and early warning method |
| CN104805846A (en) * | 2015-04-24 | 2015-07-29 | 成都理工大学 | Danger division method and application of near-surface soil landslide |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4416698B2 (en) * | 2004-05-31 | 2010-02-17 | 財団法人砂防フロンティア整備推進機構 | Disaster prevention information management apparatus, disaster prevention information management program, and recording medium recording the disaster prevention information management program |
-
2016
- 2016-03-10 CN CN201610136281.2A patent/CN105701975B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101363730A (en) * | 2008-08-07 | 2009-02-11 | 北京林业大学 | Investigation and sortation method for disaster danger area in mountanious region |
| CN103955613A (en) * | 2014-04-29 | 2014-07-30 | 国家电网公司 | Evaluating method for regional landslide geological disaster risk grading of power grid project |
| CN104299367A (en) * | 2014-10-23 | 2015-01-21 | 中国科学院、水利部成都山地灾害与环境研究所 | Landslide hazard multi-stage comprehensive monitoring and early warning method |
| CN104805846A (en) * | 2015-04-24 | 2015-07-29 | 成都理工大学 | Danger division method and application of near-surface soil landslide |
Non-Patent Citations (3)
| Title |
|---|
| "地形对泸定县兴隆镇群发性滑坡型泥石流的影响分析";李文杰等;《水利与建筑工程学报》;20160228;第14卷(第1期);第149-154页 * |
| "沟床起动型泥石流预报研究";余斌等;《工程地质学报》;20140615;第22卷(第3期);第450-455页 * |
| "红层缓倾角土质滑坡发育环境、分布规律及影响因素研究";李江等;《科学技术与工程》;20140430;第14卷(第12期);第88-93页 * |
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