CN107169198A - A kind of mud-rock flow vulnerability computational methods - Google Patents
A kind of mud-rock flow vulnerability computational methods Download PDFInfo
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Abstract
The invention discloses a kind of mud-rock flow vulnerability computational methods, comprise the following steps：A, building vulnerability assessment model；B, selection typical buildings；C, by typical buildings loss Type division it is four grades, counts different mud-rock flow intensity index IDFUnder the conditions of, the loss probability that each grade building occurs；What d, each grade building of calculating occurred surmounts loss probability, obtains three and surmounts loss probability matrix curve；E, three are surmounted loss probability matrix curve combining, artificial interpolation is carried out according to fitting function, loss probability is finally attributed to 1 value, obtains mud-rock flow building fragility curves；F, for different types of road, divide loss grade, after being determined through initial curve, trend fitting, artificial interpolation, weight, loss probability value is attributed to 1 value, that is, obtain mud-rock flow road fragility curves.The present invention uses the evaluation model based on loss probability, and evaluation result more meets reality, and applicability is stronger.
Description
Technical field
The present invention relates to hazards control field of engineering technology, more particularly to a kind of mud-rock flow vulnerability calculating side
Method.
Background technology
Mud-rock flow is as a kind of two-phase fluid between current and chip stream, so that its flow velocity is fast, impact is strong and breaks out
Wait motion feature suddenly, it is quick and consumingly act on mountainous region, it is the topmost performance of meizoseismal area geological disaster aftereffect
Form, within the following longer term, will seriously endanger the safety of disaster area resident, cities and towns, traffic, water conservancy, electric power facility etc., and be shadow
Ring one of important restriction factor of restoration and reconstruction after calamity.
In concept, mud-rock flow vulnerability refers to hazard-affected body under the effect of certain strength mud-rock flow, and what is shown is negative
Face is responded, and is generally weighed with the extent of damage or lost value, belongs to the social property expression of natural calamity.Vulnerability assessment mould
Type, is the key link for realizing all kinds of hazard-affected body risk quantifications, plays the strong Link role of link disaster bodie and hazard-affected body.Mud
Rock glacier vulnerability assessment, is study hotspot both domestic and external, and main research meanses concentrate on the inverting of calamity history data, existing so far big
Measure the proposition of evaluation model.
At present, vulnerability assessment of debris flows model can be divided into two classes, and a class is the fragility curves based on the extent of damage, separately
One class is the vulnerability curve based on loss probability, and both are referred to as vulnerability function curve, and their similitude is all with mud
Rock glacier intensity characterizes disaster bodie self-characteristic.Relational expression of the former model based on the extent of damage Yu mudstone intensity of flow, is current
The extent of damage of hazard-affected body is defined as the ratio of lost value and its original value by the Main way and means of research, this method
Value.Wherein, building original value can be estimated according to building cost, and the most key lost value part, and it is mainly obtained
Approach is government organs, commercial insurance company and other charities.However, the natural calamity of China does not include business insurance model
Farmland, in addition, when government or research institution are to damaged structure thing setting loss, often lack calculating standard and correlation experience, therefore it is difficult to will
This method applies to the mud-rock flow loss assessment of China.
In addition, for caused by mud-rock flow the problem of road damage, existing a large amount of evaluation methods and computation model are carried at present
Go out.Other hazard-affected bodies are different from yet with road, in banding spread, it extends long, scope extensively, Failure type and damage forms
It is relatively complicated, and existing evaluation model is difficult to associate with mud-rock flow strength characteristic, therefore specific risk amount can not be applied to
Change research.
Publication No. CN 103605898A, publication date disclosed one kind for the Chinese patent literature of on 02 26th, 2014
Regional debris flow hazards disaster risk estimation method, this method includes：Call regional debris flow hazards risk estimation model；According to the area
Domain mud-stone flow disaster risk estimation model creates evaluation of risk plug-in unit；Obtained to evaluation of risk plug-in unit input from different data sources
At least one pregnant calamity factor at least one mud-stone flow disaster point and at least one cause calamity in the area-of-interest taken because
Son, and input at least one hazard-affected body vulnerability assessment factor；And the evaluation of risk plug-in unit is used to perform following operation：Base
Mud-stone flow disaster sensitivity indices are calculated at least one described pregnant calamity factor；Based on the mud-stone flow disaster sensitivity indices and
At least one described Flood inducing factors calculate mud-stone flow disaster risk index；Based at least one described hazard-affected body vulnerability assessment
The factor calculates mud-stone flow disaster vulnerability index；It is fragile based on the mud-stone flow disaster risk index and the mud-stone flow disaster
Sex index calculates mud-stone flow disaster risk index；And Debris-flow Hazard is estimated according to the mud-stone flow disaster risk index calculated
Evil risk.
Regional debris flow hazards disaster risk estimation method disclosed in the patent document, its risk estimation model does not consider hazard-affected body
The complexity of the factors such as type, architectural feature and the built time, and the research of the theoretical model is more delayed, therefore the evaluation model
It is difficult to be able to popularization and application.
Publication No. CN 103530512A, publication date disclosed one kind for the Chinese patent literature of on 01 22nd, 2014
The method of quantitative assessment mud-stone flow disaster vulnerability, it is characterised in that：Using debris flow area as research area, with hazard-affected body rapid wear
Property be object, select 14 indexs to carry out mud-stone flow disaster vulnerability assessments altogether, first according to the calculating from weight and mutual weight
Formula obtains the weight of 8 exposed property evaluation indexes, cumulative to obtain hazard-affected body exposed property value；Secondly using hazard-affected body reply power and
6 evaluation indexes of restoring force, the value of hazard-affected body reply power and hazard-affected body restoring force is calculated with Dissolve instruments；Finally make
Obtain studying the vulnerability value of each grid unit in area with vulnerability calculation formula.
Patent document application contribution weighted superposition method constructs quantifying for debris flow area hazard-affected body vulnerability assessment
Expression formula, it is proposed that mud-stone flow disaster vulnerability " Product function " pattern, is that quantitative assessment mud-stone flow disaster vulnerability and risk are commented
Estimate and provide a method that, still, the evaluation method only accounts for the reply power and restoring force of hazard-affected body, not strong with mud-rock flow
Feature association is spent, therefore specific risk quantification research can not be applied to.
The content of the invention
There is provided a kind of mud-rock flow vulnerability computational methods, the present invention in order to overcome the defect of above-mentioned prior art by the present invention
Using the evaluation model based on loss probability, obtain under different mud-rock flow strength conditions, building meets or exceeds a certain loss
The probability of grade, is quantified with the vulnerability for realizing hazard-affected body；Accessed by traditional questionnaire and collect basic data, and fitting is obtained
The relational expression of hazard-affected body outcross probability and debris flow scale, and the model is incorporated into meizoseismal area hazard-affected body Quantitative Risk Evaluation
In, hazard-affected body classification and the criteria for classifying of loss type are illustrated, applicability and accuracy is improved.
The present invention is achieved through the following technical solutions：
A kind of mud-rock flow vulnerability computational methods, it is characterised in that comprise the following steps：
A, first acquisition mud-rock flow intensity index IDFDistribution situation, for typical building type, by being fitted mud
Relational expression between rock glacier strength characteristic and disaster loss survey data, the mud-rock flow building vulnerability built suitable for meizoseismal area is commented
Valency model；
B, the typical hazard-affected object of definition, field investigation and Data Collection, Research on partition area building material and textural classification
Standard, chooses disaster-stricken the most serious building type according to statistical result and is used as typical buildings；
C, by typical buildings loss Type division it is four grades, one-level grade is sediment deposition, two grades of class sections
Structural damage, three-level grade are that main structural damage, level Four grade are complete damage, by the mudstone intensity of flow at damaged structure thing
Index IDFValue rounds up, and makees integer processing, counts different mud-rock flow intensity index IDFUnder the conditions of, each grade building goes out
Existing loss probability；
What d, each grade building of calculating occurred surmounts loss probability, and sediment deposition is 1-PDⅠ(IDF), part-structure damage
For PDⅠ(IDF)-PDⅡ(IDF), primary structure damage is PDⅡ(IDF)-PDⅢ(IDF), damage completely is PDⅢ(IDF), obtain three and surpass
More loss probability matrix curve；
E, building surmount loss probability with mud-rock flow intensity index IDFVariation tendency meet formulaWherein, P surmounts loss probability, I for hazard-affected bodyDFMud-rock flow intensity index, a and b are normal for curve matching
Number, is solved by MATLAB software programmings and obtained, surmounted loss probability matrix curve combining by three, pedestrian is entered according to fitting function
Work interpolation, makes loss probability finally be attributed to 1 value, obtains mud-rock flow building fragility curves；
F, for different types of road, divide loss grade, determined through initial curve, trend fitting, artificial interpolation, weight
Afterwards, loss probability value is attributed to 1 value, that is, obtain mud-rock flow road fragility curves.
In the step a, mud-rock flow intensity index IDFDistribution situation, pass through two-dimentional rheological model FLO-2D calculate.
In the step b, typical buildings refer to construction material and structure, number of floor levels, building time, building occupancy energy generation
Table evaluates the most of building in area and locus must be positioned at simulation/actual overlapping region.
The present invention, it is adaptable to the mud-rock flow building road vulnerability assessment of meizoseismal area.
MATLAB softwares of the present invention are a kind of business mathematics software, for algorithm development, data visualization, data point
Analysis and the advanced techniques computational language and interactive environment of numerical computations；It can by numerical analysis, matrix computations, science data
Many powers such as the modeling and simulation depending on change and nonlinear dynamic system are integrated in a wieldy windowing environment
In.
Two-dimentional rheological model FLO-2D of the present invention be O ' Brien in 1988 propose based on non-newtonian flow bulk-mode and
The numerical method of central finite difference calculates the integrated software of flood, mud-rock flow movement governing equation；The software is in flood calamity
Evil management, basic engineering design, city are flooded analysis, mud-stone flow disaster danger and are widely used in terms of dividing.
Beneficial effects of the present invention are mainly manifested in following aspect：
First, it is of the invention, using the evaluation model based on loss probability, obtain under different mud-rock flow strength conditions, building
The probability of a certain loss grade is met or exceeded, is quantified with the vulnerability for realizing hazard-affected body；Accessed and collected by traditional questionnaire
Basic data, and the relational expression for obtaining hazard-affected body outcross probability and debris flow scale is fitted, and the model is incorporated into meizoseismal area
In hazard-affected body Quantitative Risk Evaluation, hazard-affected body classification and the criteria for classifying of loss type are illustrated, evaluation result more meets reality, carried
High applicability and accuracy.
2nd, it is of the invention, on the basis of Debris flow initiation, Analysis of Dynamic Characteristics and flood and earth flow numerical simulation, warp
Cross typical buildings definition, loss grade to delimit and fragility curves fitting, construct based on mud-rock flow intensity index IDFWith surpassing
More the building vulnerability assessment model of loss probability, builds relative to the vulnerability model based on lost value that foreign countries commonly use
For method, this research successfully avoids the difficulty and uncertainty of building loss price, can realize that building is easy
Easy, the quick and effective evaluation of damage property, is more suitable for the actual national conditions of China, can be the easy of other types disaster and hazard-affected body
Damage property model, which is set up, provides theoretical reference.
3rd, it is of the invention, it is adaptable to the mud-rock flow building road vulnerability assessment of meizoseismal area, with the typical mud in Wenchuan meizoseismal area
Rock glacier disaster loss case is sample, is conceived to important hazard-affected body --- building and road, adjusted using empirical model and document
Means are ground, the vulnerability assessment of debris flows model suitable for Wenchuan meizoseismal area is built, to realize risk quantification and subtracting/pre-disaster planning
Formulate and theory support is provided.
Brief description of the drawings
The present invention is described in further detail below in conjunction with specification drawings and specific embodiments, wherein：
Fig. 1 is the building fragility curves under sheep ridge of the present invention gully mud-rock flow is acted on；
Fig. 2 is the high-grade highway fragility curves under sheep ridge of the present invention gully mud-rock flow is acted on；
Fig. 3 is the low-grade highway fragility curves under sheep ridge of the present invention gully mud-rock flow is acted on；
Marked in figure：1st, building during loss grade one-level surmounts loss probability curve, 2, two grades of loss grade when
Building surmounts loss probability curve, 3, loss grade three-level when building surmount loss probability curve, 4, loss grade one
High-grade highway during level surmounts loss probability curve, 5, two grades of loss grade when high-grade highway to surmount loss probability bent
Line, 6, loss grade three-level when high-grade highway surmount loss probability curve, 7, loss grade one-level when low-grade highway
Surmount loss probability curve, 8, two grades of loss grade when low-grade highway surmount loss probability curve, 9, loss grade three-level
When low-grade highway surmount loss probability curve.
Embodiment
Embodiment 1
A kind of mud-rock flow vulnerability computational methods, comprise the following steps：
A, first acquisition mud-rock flow intensity index IDFDistribution situation, for typical building type, by being fitted mud
Relational expression between rock glacier strength characteristic and disaster loss survey data, the mud-rock flow building vulnerability built suitable for meizoseismal area is commented
Valency model；
B, the typical hazard-affected object of definition, field investigation and Data Collection, Research on partition area building material and textural classification
Standard, chooses disaster-stricken the most serious building type according to statistical result and is used as typical buildings；
C, by typical buildings loss Type division it is four grades, one-level grade is sediment deposition, two grades of class sections
Structural damage, three-level grade are that main structural damage, level Four grade are complete damage, by the mudstone intensity of flow at damaged structure thing
Index IDFValue rounds up, and makees integer processing, counts different mud-rock flow intensity index IDFUnder the conditions of, each grade building goes out
Existing loss probability；
What d, each grade building of calculating occurred surmounts loss probability, and sediment deposition is 1-PDⅠ(IDF), part-structure damage
For PDⅠ(IDF)-PDⅡ(IDF), primary structure damage is PDⅡ(IDF)-PDⅢ(IDF), damage completely is PDⅢ(IDF), obtain three and surpass
More loss probability matrix curve；
E, building surmount loss probability with mud-rock flow intensity index IDFVariation tendency meet formulaWherein, P surmounts loss probability, I for hazard-affected bodyDFMud-rock flow intensity index, a and b are normal for curve matching
Number, is solved by MATLAB software programmings and obtained, surmounted loss probability matrix curve combining by three, pedestrian is entered according to fitting function
Work interpolation, makes loss probability finally be attributed to 1 value, obtains mud-rock flow building fragility curves；
F, for different types of road, divide loss grade, determined through initial curve, trend fitting, artificial interpolation, weight
Afterwards, loss probability value is attributed to 1 value, that is, obtain mud-rock flow road fragility curves.
Using the evaluation model based on loss probability, obtain under different mud-rock flow strength conditions, building is met or exceeded
The probability of a certain loss grade, is quantified with the vulnerability for realizing hazard-affected body；Accessed by traditional questionnaire and collect basic data, and
Fitting obtains the relational expression of hazard-affected body outcross probability and debris flow scale, and the model is incorporated into the quantitative wind of meizoseismal area hazard-affected body
During danger is evaluated, illustrate hazard-affected body classification and the criteria for classifying of loss type, evaluation result more meets reality, improve applicability and
Accuracy.
Embodiment 2
A kind of mud-rock flow vulnerability computational methods, comprise the following steps：
A, first acquisition mud-rock flow intensity index IDFDistribution situation, for typical building type, by being fitted mud
Relational expression between rock glacier strength characteristic and disaster loss survey data, the mud-rock flow building vulnerability built suitable for meizoseismal area is commented
Valency model；
B, the typical hazard-affected object of definition, field investigation and Data Collection, Research on partition area building material and textural classification
Standard, chooses disaster-stricken the most serious building type according to statistical result and is used as typical buildings；
C, by typical buildings loss Type division it is four grades, one-level grade is sediment deposition, two grades of class sections
Structural damage, three-level grade are that main structural damage, level Four grade are complete damage, by the mudstone intensity of flow at damaged structure thing
Index IDFValue rounds up, and makees integer processing, counts different mud-rock flow intensity index IDFUnder the conditions of, each grade building goes out
Existing loss probability；
What d, each grade building of calculating occurred surmounts loss probability, and sediment deposition is 1-PDⅠ(IDF), part-structure damage
For PDⅠ(IDF)-PDⅡ(IDF), primary structure damage is PDⅡ(IDF)-PDⅢ(IDF), damage completely is PDⅢ(IDF), obtain three and surpass
More loss probability matrix curve；
E, building surmount loss probability with mud-rock flow intensity index IDFVariation tendency meet formulaWherein, P surmounts loss probability, I for hazard-affected bodyDFMud-rock flow intensity index, a and b are normal for curve matching
Number, is solved by MATLAB software programmings and obtained, surmounted loss probability matrix curve combining by three, pedestrian is entered according to fitting function
Work interpolation, makes loss probability finally be attributed to 1 value, obtains mud-rock flow building fragility curves；
F, for different types of road, divide loss grade, determined through initial curve, trend fitting, artificial interpolation, weight
Afterwards, loss probability value is attributed to 1 value, that is, obtain mud-rock flow road fragility curves.
In the step a, mud-rock flow intensity index IDFDistribution situation, pass through two-dimentional rheological model FLO-2D calculate.
Embodiment 3
A kind of mud-rock flow vulnerability computational methods, comprise the following steps：
A, first acquisition mud-rock flow intensity index IDFDistribution situation, for typical building type, by being fitted mud
Relational expression between rock glacier strength characteristic and disaster loss survey data, the mud-rock flow building vulnerability built suitable for meizoseismal area is commented
Valency model；
B, the typical hazard-affected object of definition, field investigation and Data Collection, Research on partition area building material and textural classification
Standard, chooses disaster-stricken the most serious building type according to statistical result and is used as typical buildings；
C, by typical buildings loss Type division it is four grades, one-level grade is sediment deposition, two grades of class sections
Structural damage, three-level grade are that main structural damage, level Four grade are complete damage, by the mudstone intensity of flow at damaged structure thing
Index IDFValue rounds up, and makees integer processing, counts different mud-rock flow intensity index IDFUnder the conditions of, each grade building goes out
Existing loss probability；
What d, each grade building of calculating occurred surmounts loss probability, and sediment deposition is 1-PDⅠ(IDF), part-structure damage
For PDⅠ(IDF)-PDⅡ(IDF), primary structure damage is PDⅡ(IDF)-PDⅢ(IDF), damage completely is PDⅢ(IDF), obtain three and surpass
More loss probability matrix curve；
E, building surmount loss probability with mud-rock flow intensity index IDFVariation tendency meet formulaWherein, P surmounts loss probability, I for hazard-affected bodyDFMud-rock flow intensity index, a and b are normal for curve matching
Number, is solved by MATLAB software programmings and obtained, surmounted loss probability matrix curve combining by three, pedestrian is entered according to fitting function
Work interpolation, makes loss probability finally be attributed to 1 value, obtains mud-rock flow building fragility curves；
F, for different types of road, divide loss grade, determined through initial curve, trend fitting, artificial interpolation, weight
Afterwards, loss probability value is attributed to 1 value, that is, obtain mud-rock flow road fragility curves.
In the step a, mud-rock flow intensity index IDFDistribution situation, pass through two-dimentional rheological model FLO-2D calculate.
In the step b, typical buildings refer to construction material and structure, number of floor levels, building time, building occupancy energy generation
Table evaluates the most of building in area and locus must be positioned at simulation/actual overlapping region.
On the basis of Debris flow initiation, Analysis of Dynamic Characteristics and flood and earth flow numerical simulation, by typical building
Thing definition, loss grade delimited and fragility curves fitting, constructed based on mud-rock flow intensity index IDFWith surmounting loss probability
Building vulnerability assessment model, for the conventional vulnerability model construction method based on lost value of foreign countries,
This research successfully avoids the difficulty and uncertainty of building loss price, can realize the letter of building vulnerability
Just, quick and effective evaluation, is more suitable for the actual national conditions of China, can be other types disaster and the vulnerability model of hazard-affected body
Set up and theoretical reference is provided.
Yang Linggou is analyzed using the present invention below, the applicability and accuracy of vulnerability model of the present invention is verified.
Yang Linggou is located near the great Yu sculptures of Wenchuan County county town, Ming River right bank.Sheep ridge gully mud-rock flow Watershed area is
7.95km2, the long 5.5km of tap drain.Field investigation shows that sheep ridge gully mud-rock flow causes calamity building sum to be 32, wherein, meet typical case
The sample number of building requirement is 14, and its loss type loses 1, III grade including I grade of loss 12, II grade and loses 1, referring to
Table 1.
Table 1 is the mud-rock flow damaged structure thing statistical form of sheep ridge ditch 710.
According to the building fragility curves of the present invention, prediction loss and the actual loss situation in above-mentioned 14 houses can be obtained
Contrast situation, referring to table 2.
Table 2 is IDF=18m3/s2Under the conditions of fragility curves prediction/actual comparison table.
Comparing result is shown, in mud-rock flow intensity index IDFFor 1m3/s2When, I-IV grade of loss of vulnerability model prediction
Number is respectively 9,2,0,0, is closer to actual result 10,1,0,0.
Field investigation is found, is national highway G213 positioned at the road of deposition fan edge, and mud-rock flow threatens segment length 117m, but its specification
Only two-way two-way traffic, limiting vehicle speed 60km/h, therefore it is low-grade highway that the road, which delimited,.The mud-rock flow mould of sheep ridge ditch 710
Plan scale is 18.42 × 104m3, it can be obtained according to road fragility curves, it surmounts I, II, III grade of loss probability is respectively 0.92,
0.90 and 0.90, correspondingly, its probability for I-IV grade of loss occur is respectively 0.08,0.02,0 and 0.90, according to maximum ratio
Principle, IV grade is defined as by the loss grade of this section of road, because the culvert discharge capacity that drainage groove crosses highway is not enough, is caused big
Amount silt particle, block stone harmony height pour G213 road surfaces, and average tap thickness about 0.5-1.0m causes full width track to be buried by silt, mated formation
Road surface is seriously damaged, and is caused interruption of communication, is detained a large amount of vehicles.The conclusion is consistent with actual conditions.
By taking the mud-rock flow disaster loss data of sheep ridge ditch 710 as an example, carry out vulnerability model checking, as a result show, work as mud-rock flow
Intensity index IDF=1m3/s2When, I-IV grade of loss number of vulnerability model prediction is respectively 9,2,0,0, with actual result
10th, 1,0,0 it is closer to；As mud-rock flow intensity index IDF=3m3/s2When, I-IV grade of loss number of vulnerability model prediction
Respectively 2,1,0,0, actual result is 2,0,1,0, is also more matched；In terms of path loss evaluation, forecast ratings are IV grade, i.e.,
Appearance track full width silt is buried, interruption of communication, and the conclusion is consistent with actual conditions.
In summary, the vulnerability model that the present invention is built, can reflect meizoseismal area hazard-affected body to mud-rock flow well
Response mechanism, being capable of the effectively popularization and application in mud-rock flow Quantitative Risk Evaluation.
Claims (3)
1. a kind of mud-rock flow vulnerability computational methods, it is characterised in that comprise the following steps：
A, first acquisition mud-rock flow intensity index IDFDistribution situation, for typical building type, by being fitted mud-rock flow
Relational expression between strength characteristic and disaster loss survey data, builds the mud-rock flow building vulnerability assessment mould suitable for meizoseismal area
Type；
B, the typical hazard-affected object of definition, field investigation and Data Collection, Research on partition area building material and textural classification standard,
Disaster-stricken the most serious building type is chosen according to statistical result and is used as typical buildings；
C, by typical buildings loss Type division it is four grades, one-level grade is sediment deposition, two grades of class section structures
Damage, three-level grade are that main structural damage, level Four grade are complete damage, by the mud-rock flow intensity index at damaged structure thing
IDFValue rounds up, and makees integer processing, counts different mud-rock flow intensity index IDFUnder the conditions of, what each grade building occurred
Loss probability；
What d, each grade building of calculating occurred surmounts loss probability, and sediment deposition is 1-PDⅠ(IDF), part-structure damage is PDⅠ
(IDF)-PDⅡ(IDF), primary structure damage is PDⅡ(IDF)-PDⅢ(IDF), damage completely is PDⅢ(IDF), obtain three and surmount loss
Probability matrix curve；
E, building surmount loss probability with mud-rock flow intensity index IDFVariation tendency meet formulaIts
In, P surmounts loss probability, I for hazard-affected bodyDFMud-rock flow intensity index, a and b are the constant of curve matching, by MATLAB softwares
Program is obtained, and surmounts loss probability matrix curve combining by three, is carried out artificial interpolation according to fitting function, is made loss general
Rate is finally attributed to 1 value, obtains mud-rock flow building fragility curves；
F, for different types of road, divide loss grade, after being determined through initial curve, trend fitting, artificial interpolation, weight,
Loss probability value is attributed to 1 value, that is, obtain mud-rock flow road fragility curves.
2. a kind of mud-rock flow vulnerability computational methods according to claim 1, it is characterised in that：In the step a, mudstone
Intensity of flow index IDFDistribution situation, pass through two-dimentional rheological model FLO-2D calculate.
3. a kind of mud-rock flow vulnerability computational methods according to claim 1, it is characterised in that：In the step b, typical case
Building refers to that construction material and structure, number of floor levels, building time, building occupancy can represent the most of building in evaluation area and sky
Between position must be positioned at simulation/actual overlapping region.
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| CN111581865A (en) * | 2020-05-08 | 2020-08-25 | 成都山地环安防灾减灾技术有限公司 | Remote monitoring and early warning method and system for engineering structure damage |
| CN111581865B (en) * | 2020-05-08 | 2023-09-05 | 成都山地环安科技有限公司 | Engineering structure damage remote monitoring and early warning method and system |
| CN112465356A (en) * | 2020-11-30 | 2021-03-09 | 国网四川省电力公司电力科学研究院 | Improved quantitative evaluation method and system for material vulnerability of landslide geological disaster |
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