CN108564771A - Manually cut landslide method for early warning and the application on slope in Slate Area - Google Patents
Manually cut landslide method for early warning and the application on slope in Slate Area Download PDFInfo
- Publication number
- CN108564771A CN108564771A CN201810652814.1A CN201810652814A CN108564771A CN 108564771 A CN108564771 A CN 108564771A CN 201810652814 A CN201810652814 A CN 201810652814A CN 108564771 A CN108564771 A CN 108564771A
- Authority
- CN
- China
- Prior art keywords
- slope
- landslide
- area
- formula
- slip mass
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000010454 slate Substances 0.000 title claims abstract description 46
- 238000000034 method Methods 0.000 title claims abstract description 14
- 238000011835 investigation Methods 0.000 claims abstract description 10
- 238000013507 mapping Methods 0.000 claims abstract description 7
- RVRCFVVLDHTFFA-UHFFFAOYSA-N heptasodium;tungsten;nonatriacontahydrate Chemical compound O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.O.[Na+].[Na+].[Na+].[Na+].[Na+].[Na+].[Na+].[W].[W].[W].[W].[W].[W].[W].[W].[W].[W].[W] RVRCFVVLDHTFFA-UHFFFAOYSA-N 0.000 claims description 10
- 239000002689 soil Substances 0.000 abstract description 28
- 230000008595 infiltration Effects 0.000 abstract description 11
- 238000001764 infiltration Methods 0.000 abstract description 11
- 238000011160 research Methods 0.000 abstract description 7
- OVBPIULPVIDEAO-LBPRGKRZSA-N folic acid Chemical compound C=1N=C2NC(N)=NC(=O)C2=NC=1CNC1=CC=C(C(=O)N[C@@H](CCC(O)=O)C(O)=O)C=C1 OVBPIULPVIDEAO-LBPRGKRZSA-N 0.000 description 9
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 8
- YBJHBAHKTGYVGT-ZKWXMUAHSA-N (+)-Biotin Chemical compound N1C(=O)N[C@@H]2[C@H](CCCCC(=O)O)SC[C@@H]21 YBJHBAHKTGYVGT-ZKWXMUAHSA-N 0.000 description 5
- FEPMHVLSLDOMQC-UHFFFAOYSA-N virginiamycin-S1 Natural products CC1OC(=O)C(C=2C=CC=CC=2)NC(=O)C2CC(=O)CCN2C(=O)C(CC=2C=CC=CC=2)N(C)C(=O)C2CCCN2C(=O)C(CC)NC(=O)C1NC(=O)C1=NC=CC=C1O FEPMHVLSLDOMQC-UHFFFAOYSA-N 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 239000004927 clay Substances 0.000 description 3
- 239000002734 clay mineral Substances 0.000 description 3
- 230000006698 induction Effects 0.000 description 3
- 230000004888 barrier function Effects 0.000 description 2
- 229910052500 inorganic mineral Inorganic materials 0.000 description 2
- 239000011707 mineral Substances 0.000 description 2
- KHOITXIGCFIULA-UHFFFAOYSA-N Alophen Chemical compound C1=CC(OC(=O)C)=CC=C1C(C=1N=CC=CC=1)C1=CC=C(OC(C)=O)C=C1 KHOITXIGCFIULA-UHFFFAOYSA-N 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 229910001919 chlorite Inorganic materials 0.000 description 1
- 229910052619 chlorite group Inorganic materials 0.000 description 1
- QBWCMBCROVPCKQ-UHFFFAOYSA-N chlorous acid Chemical compound OCl=O QBWCMBCROVPCKQ-UHFFFAOYSA-N 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000001035 drying Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000007935 neutral effect Effects 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 239000000843 powder Substances 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 239000010453 quartz Substances 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 238000009738 saturating Methods 0.000 description 1
- -1 sericite Inorganic materials 0.000 description 1
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N silicon dioxide Inorganic materials O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 1
- 239000004575 stone Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Emergency Management (AREA)
- Development Economics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Primary Health Care (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Computing Systems (AREA)
- Entrepreneurship & Innovation (AREA)
- Life Sciences & Earth Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geology (AREA)
- Pit Excavations, Shoring, Fill Or Stabilisation Of Slopes (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
The invention discloses the landslide method for early warning that slope is manually cut in a kind of Slate Area, which is characterized in that includes the following steps:A, the slip mass gradient α on slope, landslide bulk area A, slip mass upside area A are manually cut in field investigation mapping Slate AreauWith slip mass upper side gradient β;B, the terrain generalization Assessing parameters T that slope is manually cut in Slate Area is calculated according to T=S+1.7U;C, equivalent rainfall R* is calculated;Rainfall factor R;D, landslide judgment value P is calculated;E, landslide judgment value P is subjected to condition distinguishing with critical value to slide Cr sizes.The present invention cuts slope for the artificial of Slate Area, internal mechanism research is carried out to landslide occurrence degree by studying orographic factor and rain factor, and fully take into account the particularity of Slate Area and the infiltration feature of its soil, establish the early warning computation model of the artificial slope and land slide for cutting slope, the warning grade that comes down is judged in a manner of quantitative, greatly improves early warning accuracy.
Description
Technical field
The present invention relates to it is artificial cut hill wash slope prevention and control field more particularly to a kind of Slate Area manually cut slope landslide it is pre-
Alarm method and application.
Background technology
It is artificial cut domatic at new side slope be widely distributed in low mountain and knob, especially on the low mountain in the east in China
The knob and.Due to people's income increase, per-capita housing is also continuously increased, and original house cannot meet local residence
The growing life requirement of the people needs to build new building again.But China arable land is less, to protect farmland, it is new to cover again
Room then only looks for another way.The local-style dwelling houses house site that domatic Cheng Xin is cut on low mountain side is exactly unique admissible method.In order to subtract
Cost is built less, and it is generally selecting for residents that the slope gradient is cut in increase, but heavy grade brings security risk again:Manually cut slope sheet
Unstable just to bring, the prodigious slope gradient of cutting keeps side slope more unstable, under larger rainfall induction, often forms landslide.
The artificial slope and land slide for cutting slope of Slate Area generally requires have two conditions:
1, be conducive to occur the orographic condition of shallow-layer landslide o earth slope.
2, abundant rainfall infiltration enters the generation of the soil body and final induced landslide.
These condition combined influences and the stability for determining the slope surface soil body.Wherein, orographic condition is to manually cutting the side slope on slope
The influence factor on landslide includes:The ramp slope of potential slip mass, slip mass upside gentle slope landform.Potential slip mass both sides are general
It is plane, landslide is not influenced;Generally without free face on the downside of potential slip mass, but slip mass still can cut to form cunning
Slope.
Currently, domestic and foreign scholars are to the slope and land slide of manually cutting slope, there are no enough researchs.At present both at home and abroad to landslide
Forecast is mainly built upon rainfall in the influence on slope, and proposes many models, such as:Green and Ampt (1911) is first
First establish the Infiltration Model under the conditions of ponding, Hor ton [1933] establish experience Infiltration Model, Philip (1957)
Famous Richards equations are proposed, however the factor for influencing slope sliding is not only condition of raining, has prodigious office
It is sex-limited.Under same geological conditions, orographic condition equally has irreplaceable role, so to be for the research on landslide
The considerations of system condition of raining and orographic condition, its rule is analyzed, to obtain the model of applicability.
Publication No. CN 105701975A, publication date are that on 06 22nd, 2016 Chinese patent literatures disclose one kind
Based on Red Bed shallow-layer landslide o earth slope method for early warning, includes the following steps:Using Based on Red Bed slip mass and non-slip mass as investigation
Object, the gradient α for measuring slip mass and non-slip mass, the bulk area that comes down A, top gradient β, top area Au, laterally left side slope
Spend θ1, lateral right side gradient θ2, lateral left side area AL, lateral right side area ARWith the terraced fields area A' on slip mass;Calculate slope
Factor S, upper side factor U, both sides factor C, terrain factor T, rainfall factor R are spent, Based on Red Bed is calculated and induces shallow-layer soil property cunning
The critical value Cr on slope simultaneously carries out condition distinguishing, determines landslide grade, issues warning signal.
Publication No. CN 105761436A, publication date are that on 07 13rd, 2016 Chinese patent literatures disclose one kind
Based on Red Bed landslide method for early warning and its application, include the following steps:Using Based on Red Bed slip mass and non-slip mass as investigation
Object, measure the gradient α of slip mass and non-slip mass, landslide bulk area A, top gradient β, top area Au, left side transverse direction
Gradient θ1, right side cross fall θ2, left side horizontal area AL, right side horizontal area ARWith the terraced fields area A' on slip mass;Meter
Slope factor S, upper side factor U and both sides factor C are calculated, is compared by orographic condition and determines free face factor F;Calculate landform because
Sub- T, equivalent rainfall R*, rainfall factor R and critical value to slide Cr, determining landslide grade issue warning signal.
Using above patent document as the prior art of representative, primarily directed to the landslide early warning of Based on Red Bed, on other ground
Area is not applicable, and these researchs are only used for natural side slope, and the gradient of potential slip mass is often at 45 degree hereinafter, substantially can not possibly
At 50 degree or more.Because when the gradient of potential slip mass is more than 50 degree or without soil layer or all having slided.And slate
The artificial gradient for cutting slope in area is substantially all at 50 degree or more, and without free face, both sides are also without charge for remittance.The artificial side slope for cutting slope
There are different featuress of terrain from natural side slope, therefore landslide is more readily formed in the artificial side slope for cutting slope, early warning critical value is more
It is low.
Invention content
The present invention provides a kind of pre- police in landslide that slope is manually cut in Slate Area to overcome the defect of the above-mentioned prior art
Method and application, the present invention cut slope for the artificial of Slate Area, and journey occurs to landslide by studying orographic factor and rain factor
Degree carries out internal mechanism research, and fully takes into account the particularity of Slate Area and the infiltration feature of its soil, establishes people
Work cuts the early warning computation model of the slope and land slide on slope, and the warning grade that comes down is judged in a manner of quantitative, greatly improves early warning
Accuracy.
The present invention is achieved through the following technical solutions:
Manually cut the landslide method for early warning on slope in Slate Area, which is characterized in that include the following steps:
A, the slip mass gradient α on slope, landslide bulk area A, slip mass upper side are manually cut in field investigation mapping Slate Area
Product AuWith slip mass upper side gradient β;
B, the terrain generalization Assessing parameters T that slope is manually cut in Slate Area is calculated according to formula 1;
T=S+1.7U formulas 1
In formula, T is terrain generalization Assessing parameters;S is slip mass slope factor, is calculated and is determined according to formula 2;U be it is upper slowly
The shape factor is calculated according to formula 3 and is determined;
S=tan α formulas 2
U=tan (alpha-beta) Au/ A formulas 3
In formula, α is the slip mass gradient, unit °;AuFor area on the upside of slip mass, unit m2;A is landslide bulk area, unit
m2;β is the slip mass upper side gradient, unit °, β < α;
As β >=α, if tan (alpha-beta) Au/ A=0;
C, equivalent rainfall R* is calculated according to formula 4;Rainfall factor R is calculated according to formula 5;
R*=B+3.5I formulas 4
In formula, B is rainfall, and I is 1 hourly rainfall depth, and B and I by measuring determination in real time;
In formula, R0For average annual rainfall, Cv is 1 hour rainfall coefficient of variation, R0With Cv by inquiring local hydrologic manual
It determines;
D, comprehensive landform comprehensive distinguishing factor T and rainfall factor R calculate landslide judgment value P according to formula 6;
P=RT1.5Formula 6
E, landslide judgment value P is subjected to condition distinguishing with critical value to slide Cr sizes;
As landslide judgment value P < 2.6, possibility very little sends out green safe signal for green warning grade;Work as landslide
2.6≤P of judgment value < 3.2, possibility is small, is yellow warning grade, sends out yellow pre-warning signal;As landslide 3.2≤P of judgment value
< 3.7, possibility is medium, is orange warning grade, sends out orange warning signal;When landslide judgment value P >=3.7, possibility is big,
For red early warning grade, red early warning signal is sent out.
The present invention manually cuts the landslide early warning on slope suitable for the Slate Area of 60 °≤α≤70 ° of the slip mass gradient.
Further, the present invention manually cuts the landslide on slope suitable for the Slate Area of 0 °≤β≤50 ° of the slip mass upper side gradient
Early warning.
The basic principle of the present invention is as follows:
The artificial side slope for cutting slope belongs to soil-slope, and soil layer belongs to stack layer, is shape after protolith weathering and short-haul operation
At stack layer, therefore the characteristic of soil is mainly by the lithologic character controlling of protolith.In the characteristic of soil, infiltration coefficient and clay mine
Influence of the object to landslide is maximum.The infiltration coefficient of soil is bigger, and flow caused by rainfall is more easily accessible soil, and flow is in soil
In under when being seeped into fluid-tight water barrier, water level lifting increases dead weight and the sliding force of soil layer, and bottom friction power reduces, and soil layer is got over
It is easy to happen landslide.The viscosity of the clay mineral of soil is stronger, and clay content is more, there is more, the drying that will absorb water when rainfall
When, will shrink more, form the crack of bigger;Crack is bigger, and the easier suitable crack of production stream of rainfall enters soil, and flow exists
When flowing to fluid-tight water barrier, water level lifting increases dead weight and the sliding force of soil layer, and bottom friction power reduces, and soil layer is easier
It comes down.Therefore, the particle for the stack layer soil that protolith weathering is formed is thicker, and infiltration coefficient is bigger, is more easy to happen cunning
Slope;The viscosity of the clay mineral for the stack layer soil that protolith weathering is formed is stronger, and clay content is more, is more easy to happen landslide.
The artificial danger for cutting hill wash slope, the critical value that rainfall induced landslide occurs and the administration way on landslide in different lithology region
Deng all there is very big difference.
Slate is the low grade metamorphism rock for having phyllitic structure.Protolith is shale, silty or neutral tufa stone.Mineral at
It is divided into the mineral grains such as quartz, sericite, chlorite and carbonaceous, irony powder, clay mineral content is higher.By slate weathering shape
At stack layer soil in sticky content it is fewer than the sticky content of phyllite stack layer soil, also belong to coarse-grained soil;Soil permeability
Property it is poor, and absorb water shrink again generation crack it is fewer than the crack of phyllite stack layer soil.It is this kind of artificial to cut slope side slope and compare
It is easy to happen landslide.
Under the premise of identical geological conditions, induction manually cuts slope slope and land slide and is mainly determined by orographic condition and condition of raining
Fixed, two conditions are indispensable, are induced under collective effect and manually cut slope slope and land slide.The present invention has fully considered the two conditions
Comprehensive function, and the effect of two conditions united to form Slate Area and induce the forecast mould for manually cutting slope slope and land slide
Type;Studied through a large amount of field investigation, analysis determine for it is set it is artificial cut slope slope and land slide and do not come down for, obtained ground
The functional relation 6 of shape condition and condition of raining, by coming down, judgment value P sizes carry out condition distinguishing, determine landslide grade, and
Corresponding pre-warning signal is sent out, entire early warning work is completed.
Beneficial effects of the present invention are mainly manifested in following aspect:
One, of the invention, " the slip mass gradient α on slope, landslide bulk area A, cunning are manually cut in a, field investigation mapping Slate Area
Area A on the upside of slopesuWith slip mass upper side gradient β;B, the terrain generalization differentiation that slope is manually cut in Slate Area is calculated according to formula 1
Factor T;C, equivalent rainfall R* is calculated according to formula 4;Rainfall factor R is calculated according to formula 5;D, comprehensive landform comprehensive distinguishing factor T
With rainfall factor R, landslide judgment value P is calculated according to formula 6;E, landslide judgment value P is subjected to condition with critical value to slide Cr sizes
Differentiate;As landslide judgment value P < 2.6, possibility very little sends out green safe signal for green warning grade;When landslide judges
2.6≤P of value < 3.2, possibility is small, is yellow warning grade, sends out yellow pre-warning signal;As landslide 3.2≤P of judgment value <
3.7, possibility is medium, is orange warning grade, sends out orange warning signal;When landslide judgment value P >=3.7, possibility is big, is
Red early warning grade sends out red early warning signal ", artificial for Slate Area cuts slope, by studying orographic factor and rainfall
Factor carries out internal mechanism research to landslide occurrence degree, and fully takes into account the particularity of Slate Area and oozing for its soil
Saturating feature is established the early warning computation model of the artificial slope and land slide for cutting slope, the warning grade that comes down, pole is judged in a manner of quantitative
Big improves early warning accuracy.
Two, of the invention, 1 mesorelief comprehensive distinguishing factor T of formula, slip mass slope factor S, upper slow terrain factor U and formula 5 with
And formula 6 is dimensionless group, can be used under the conditions of manually cutting the slope and land slide on slope, applicability is stronger.
Three, of the invention, the landslide that slope is manually cut in the Slate Area suitable for 0 °≤β≤50 ° of the slip mass upper side gradient is pre-
It is alert, by measuring slip mass gradient α and slip mass upper side gradient β, and the upper slow terrain factor U being calculated by formula 1,
Due to the effect of rainfall infiltration, water source is provided for landslide, upper slow terrain factor U is the secondary incitant that landslide is formed, when
When 0 °≤β≤50 °, and combine slip mass gradient α, it will be able to more accurately divide landslide warning grade, improve landslide early warning matter
Amount.
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 front schematic view;
Fig. 2 is orographic factor side schematic view;
Wherein:Au, area on the upside of slip mass, A, landslide bulk area, L, slip mass length of grade, α, the slip mass gradient, β, landslide
The body upper side gradient.
Specific implementation mode
Embodiment 1
The landslide method for early warning on slope is manually cut in Slate Area, includes the following steps:
A, the slip mass gradient α on slope, landslide bulk area A, slip mass upper side are manually cut in field investigation mapping Slate Area
Product AuWith slip mass upper side gradient β;
B, the terrain generalization Assessing parameters T that slope is manually cut in Slate Area is calculated according to formula 1;
T=S+1.7U formulas 1
In formula, T is terrain generalization Assessing parameters;S is slip mass slope factor, is calculated and is determined according to formula 2;U be it is upper slowly
The shape factor is calculated according to formula 3 and is determined;
S=tan α formulas 2
U=tan (alpha-beta) Au/ A formulas 3
In formula, α is the slip mass gradient, unit °;AuFor area on the upside of slip mass, unit m2;A is landslide bulk area, unit
m2;β is the slip mass upper side gradient, unit °, β < α;
As β >=α, if tan (alpha-beta) Au/ A=0;
C, equivalent rainfall R* is calculated according to formula 4;Rainfall factor R is calculated according to formula 5;
R*=B+3.5I formulas 4
In formula, B is rainfall, and I is 1 hourly rainfall depth, and B and I by measuring determination in real time;
In formula, R0For average annual rainfall, Cv is 1 hour rainfall coefficient of variation, R0With Cv by inquiring local hydrologic manual
It determines;
D, comprehensive landform comprehensive distinguishing factor T and rainfall factor R calculate landslide judgment value P according to formula 6;
P=RT1.5Formula 6
E, landslide judgment value P is subjected to condition distinguishing with critical value to slide Cr sizes;
As landslide judgment value P < 2.6, possibility very little sends out green safe signal for green warning grade;Work as landslide
2.6≤P of judgment value < 3.2, possibility is small, is yellow warning grade, sends out yellow pre-warning signal;As landslide 3.2≤P of judgment value
< 3.7, possibility is medium, is orange warning grade, sends out orange warning signal;When landslide judgment value P >=3.7, possibility is big,
For red early warning grade, red early warning signal is sent out.
" the slip mass gradient α on slope, landslide bulk area A, slip mass upper side are manually cut in a, field investigation mapping Slate Area
Product AuWith slip mass upper side gradient β;B, the terrain generalization Assessing parameters T that slope is manually cut in Slate Area is calculated according to formula 1;C, root
Equivalent rainfall R* is calculated according to formula 4;Rainfall factor R is calculated according to formula 5;D, comprehensive landform comprehensive distinguishing factor T and the rainfall factor
R calculates landslide judgment value P according to formula 6;E, landslide judgment value P is subjected to condition distinguishing with critical value to slide Cr sizes;Work as landslide
Judgment value P < 2.6, possibility very little send out green safe signal for green warning grade;As landslide 2.6≤P of judgment value <
3.2, possibility is small, is yellow warning grade, sends out yellow pre-warning signal;When in landslide 3.2≤P of judgment value < 3.7, possibility
Deng, be orange warning grade, send out orange warning signal;When landslide judgment value P >=3.7, possibility is big, is red early warning etc.
Grade, sends out red early warning signal ", artificial for Slate Area cuts slope, by studying orographic factor and rain factor to landslide
Occurrence degree carries out internal mechanism research, and fully takes into account the particularity of Slate Area and the infiltration feature of its soil, builds
The early warning computation model for having found the artificial slope and land slide for cutting slope is judged the warning grade that comes down in a manner of quantitative, greatly improved
Early warning accuracy.
Embodiment 2
The landslide method for early warning on slope is manually cut in Slate Area, includes the following steps:
A, the slip mass gradient α on slope, landslide bulk area A, slip mass upper side are manually cut in field investigation mapping Slate Area
Product AuWith slip mass upper side gradient β;
B, the terrain generalization Assessing parameters T that slope is manually cut in Slate Area is calculated according to formula 1;
T=S+1.7U formulas 1
In formula, T is terrain generalization Assessing parameters;S is slip mass slope factor, is calculated and is determined according to formula 2;U be it is upper slowly
The shape factor is calculated according to formula 3 and is determined;
S=tan α formulas 2
U=tan (alpha-beta) Au/ A formulas 3
In formula, α is the slip mass gradient, unit °;AuFor area on the upside of slip mass, unit m2;A is landslide bulk area, unit
m2;β is the slip mass upper side gradient, unit °, β < α;
As β >=α, if tan (alpha-beta) Au/ A=0;
C, equivalent rainfall R* is calculated according to formula 4;Rainfall factor R is calculated according to formula 5;
R*=B+3.5I formulas 4
In formula, B is rainfall, and I is 1 hourly rainfall depth, and B and I by measuring determination in real time;
In formula, R0For average annual rainfall, Cv is 1 hour rainfall coefficient of variation, R0With Cv by inquiring local hydrologic manual
It determines;
D, comprehensive landform comprehensive distinguishing factor T and rainfall factor R calculate landslide judgment value P according to formula 6;
P=RT1.5Formula 6
E, landslide judgment value P is subjected to condition distinguishing with critical value to slide Cr sizes;
As landslide judgment value P < 2.6, possibility very little sends out green safe signal for green warning grade;Work as landslide
2.6≤P of judgment value < 3.2, possibility is small, is yellow warning grade, sends out yellow pre-warning signal;As landslide 3.2≤P of judgment value
< 3.7, possibility is medium, is orange warning grade, sends out orange warning signal;When landslide judgment value P >=3.7, possibility is big,
For red early warning grade, red early warning signal is sent out.
The present invention manually cuts the landslide early warning on slope suitable for the Slate Area of 60 °≤α≤70 ° of the slip mass gradient.
Further, the present invention manually cuts the landslide on slope suitable for the Slate Area of 0 °≤β≤50 ° of the slip mass upper side gradient
Early warning.
1 mesorelief comprehensive distinguishing factor T of formula, slip mass slope factor S, upper slow terrain factor U and formula 5 and formula 6 are
Dimensionless group can use under the conditions of manually cutting the slope and land slide on slope, and applicability is stronger.
By measuring slip mass gradient α and slip mass upper side gradient β, and the upper slow landform being calculated by formula 1
Factor U provides water source due to the effect of rainfall infiltration for landslide, upper slow terrain factor U be landslide formation secondary induction because
Son, when 0 °≤β≤50 °, and combines slip mass gradient α, it will be able to more accurately divide landslide warning grade, it is pre- to improve landslide
Alert quality.
Method for early warning of the present invention is verified below by specific example:
Ganzhou City of Jiangxi Province Xingguo County Cologne hilllock town loyalty Tian Cun has occurred mass-sending property on May 19th, 2015 and manually cuts slope side
Hill wash slope, but not everyone work cuts the side slope on slope and is all come down.This area belongs to Slate Area.
The slope surface unit for participating in calculating includes choosing that come down artificial cuts slope side slope and that does not come down manually cuts slope
Side slope is at totally 21, wherein come down at 7, does not come down at 14, soil belongs to the stack layer of Slate Area.Referring to Fig. 1 and Fig. 2, first
Each potential slip mass gradient α is first measured respectively, measures landslide bulk area A, and potential slip mass measures bottom from above, and width arrives
Area area A on the upside of charge for remittance width, slip mass upper side gradient β and slip massu, slip mass slope factor S is calculated by formula 2,
Formula 3 calculates slow terrain factor U, finally calculates terrain generalization Assessing parameters T by formula 1.It is small by rainfall B and 1 again
When rainfall I, equivalent rainfall R is calculated by formula 4*, according to local average annual rainfall R0It is deteriorated with rainfall in 1 hour and is
Number Cv, rainfall factor R is calculated by formula 5.Landslide judgment value P is calculated by formula 6.It is calculated at 28 and manually cuts slope side slope
Terrain generalization Assessing parameters T values, rainfall factor R value, landslide judgment value P values and landslide to actually occur situation as shown in table 1.
Table 1
From table 1:Big artificial of the possibility that is judged as coming down, which cuts slope side slope, 7, is all come down;It is judged as sliding
Possibility medium artificial slope side slope of cutting in slope has 4, all without coming down;Small artificial of the possibility that is judged as coming down cuts slope side
Slope has 3, all without coming down;It is judged as that the artificial slope side slope of cutting of landslide possibility very little there are 7, all without sliding
Slope.Illustrate that the landslide early warning of the invention that slope is manually cut to Slate Area is very accurate.
Claims (2)
1. the landslide method for early warning on slope is manually cut in Slate Area, which is characterized in that include the following steps:
A, the slip mass gradient α on slope, landslide bulk area A, slip mass upside area A are manually cut in field investigation mapping Slate AreauWith
Slip mass upper side gradient β;
B, the terrain generalization Assessing parameters T that slope is manually cut in Slate Area is calculated according to formula 1;
T=S+1.7U formulas 1
In formula, T is terrain generalization Assessing parameters;S is slip mass slope factor, is calculated and is determined according to formula 2;U be upper slow landform because
Son is calculated according to formula 3 and is determined;
S=tan α formulas 2
U=tan (alpha-beta) Au/ A formulas 3
In formula, α is the slip mass gradient, unit °;AuFor area on the upside of slip mass, unit m2;A is landslide bulk area, unit m2;β
For the slip mass upper side gradient, unit °, β < α;
As β >=α, if tan (alpha-beta) Au/ A=0;
C, equivalent rainfall R* is calculated according to formula 4;Rainfall factor R is calculated according to formula 5;
R*=B+3.5I formulas 4
In formula, B is rainfall, and I is 1 hourly rainfall depth, and B and I by measuring determination in real time;
In formula, R0For average annual rainfall, Cv is 1 hour rainfall coefficient of variation, R0It is true by inquiring local hydrologic manual with Cv
It is fixed;
D, comprehensive landform comprehensive distinguishing factor T and rainfall factor R calculate landslide judgment value P according to formula 6;
P=RT1.5Formula 6
E, landslide judgment value P is subjected to condition distinguishing with critical value to slide Cr sizes;
As landslide judgment value P < 2.6, possibility very little sends out green safe signal for green warning grade;When landslide judges
2.6≤P of value < 3.2, possibility is small, is yellow warning grade, sends out yellow pre-warning signal;As landslide 3.2≤P of judgment value <
3.7, possibility is medium, is orange warning grade, sends out orange warning signal;When landslide judgment value P >=3.7, possibility is big, is
Red early warning grade sends out red early warning signal.
2. the application of the landslide method for early warning on slope is manually cut in Slate Area according to claim 1, it is characterised in that:It is applicable in
The landslide early warning on slope is manually cut in the Slate Area of 60 °≤α≤70 ° of the slip mass gradient.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810652814.1A CN108564771A (en) | 2018-06-22 | 2018-06-22 | Manually cut landslide method for early warning and the application on slope in Slate Area |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810652814.1A CN108564771A (en) | 2018-06-22 | 2018-06-22 | Manually cut landslide method for early warning and the application on slope in Slate Area |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108564771A true CN108564771A (en) | 2018-09-21 |
Family
ID=63554330
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810652814.1A Pending CN108564771A (en) | 2018-06-22 | 2018-06-22 | Manually cut landslide method for early warning and the application on slope in Slate Area |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108564771A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110412241A (en) * | 2019-06-14 | 2019-11-05 | 成都理工大学 | A kind of method for early warning of the rock landslip of weak intercalated layer sliding surface and its application |
CN112133062A (en) * | 2020-09-25 | 2020-12-25 | 重庆地质矿产研究院 | Landslide overall stability early warning method based on multi-monitoring-point synergistic effect |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105512443A (en) * | 2016-01-28 | 2016-04-20 | 成都理工大学 | Method for judging dangerousness of shallow soil landslide |
CN105701975A (en) * | 2016-03-10 | 2016-06-22 | 成都理工大学 | Shallow soil landslide early-warning method in red-bed area |
CN105761436A (en) * | 2016-03-10 | 2016-07-13 | 成都理工大学 | Red bed region landslide early warning method and application thereof |
CN107476275A (en) * | 2017-08-29 | 2017-12-15 | 成都理工大学 | A kind of method for early warning of Based on Red Bed rock landslip and its application |
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 |
-
2018
- 2018-06-22 CN CN201810652814.1A patent/CN108564771A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105512443A (en) * | 2016-01-28 | 2016-04-20 | 成都理工大学 | Method for judging dangerousness of shallow soil landslide |
CN105701975A (en) * | 2016-03-10 | 2016-06-22 | 成都理工大学 | Shallow soil landslide early-warning method in red-bed area |
CN105761436A (en) * | 2016-03-10 | 2016-07-13 | 成都理工大学 | Red bed region landslide early warning method and application thereof |
CN107476275A (en) * | 2017-08-29 | 2017-12-15 | 成都理工大学 | A kind of method for early warning of Based on Red Bed rock landslip and its application |
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 |
Non-Patent Citations (1)
Title |
---|
余斌,王涛,朱渊: "浅层滑坡诱发沟谷泥石流的地形和降雨条件", 《水科学进展》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110412241A (en) * | 2019-06-14 | 2019-11-05 | 成都理工大学 | A kind of method for early warning of the rock landslip of weak intercalated layer sliding surface and its application |
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 |
CN112133062A (en) * | 2020-09-25 | 2020-12-25 | 重庆地质矿产研究院 | Landslide overall stability early warning method based on multi-monitoring-point synergistic effect |
CN112133062B (en) * | 2020-09-25 | 2022-05-27 | 重庆地质矿产研究院 | Landslide overall stability early warning method based on multi-monitoring-point synergistic effect |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108776851A (en) | A kind of shallow failure disaster alarm Threshold that heavy rain induces | |
CN105512443B (en) | The dangerous judgment method of shallow-layer landslide o earth slope | |
Thurman et al. | Properties, classification, and interpretations of minesoils at two sites in West Virginia | |
CN106157541B (en) | A kind of Debris Flow method for early warning and its application | |
CN101630347A (en) | Mountainous area highway landslide risk evaluation model | |
CN104805846B (en) | The dangerous division methods of a kind of shallow top layer landslide o earth slope and application | |
CN105804094B (en) | A kind of dangerous determination methods of rock landslip and its application | |
Ticehurst et al. | Interpreting soil and topographic properties to conceptualise hillslope hydrology | |
CN104809345A (en) | Debris flow yield stress and maximum accumulation thickness calculation method | |
CN107476275B (en) | Early warning method for rock landslide in red zone and application thereof | |
Mallick et al. | Resistivity sounding on a two‐layer earth with transitional boundary | |
CN108564771A (en) | Manually cut landslide method for early warning and the application on slope in Slate Area | |
Nwadialo | Soil-landscape relationships in the Udi-Nsukka plateau, Nigeria | |
CN106284379A (en) | The method judging slope stability in conjunction with the envelope diagram in side slope deep implication face | |
CN108831113A (en) | Sandstone cuts hill wash slope method for early warning and application | |
Deng et al. | Planar morphology and controlling factors of the gullies in the Yuanmou Dry-hot Valley based on field investigation | |
CN108831114A (en) | A kind of phyllite manually cuts hill wash slope method for early warning and application | |
CN108615335A (en) | Cut landslide method for early warning and the application on slope in a kind of In The Granite Area | |
CN110412241A (en) | A kind of method for early warning of the rock landslip of weak intercalated layer sliding surface and its application | |
CN108829991A (en) | A kind of sandstone cuts slope Landslide hazard judgment method and its application | |
CN108797614A (en) | Granite manually cuts hill wash slope administering method and application | |
CN108898529A (en) | Cut the Landslide hazard judgment method and application on slope in a kind of In The Granite Area | |
CN108797613A (en) | Manually cut Landslide hazard judgment method and the application on slope in a kind of Slate Area | |
CN108776742A (en) | Phyllite manually cuts slope Landslide hazard judgment method and application | |
CN106018754B (en) | A kind of construction method for the fine compaction model for reconstructing soil |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180921 |
|
RJ01 | Rejection of invention patent application after publication |