CN106777994A - A kind of external hydraulic pressure upon tunnel lining evaluation method - Google Patents
A kind of external hydraulic pressure upon tunnel lining evaluation method Download PDFInfo
- Publication number
- CN106777994A CN106777994A CN201611197179.XA CN201611197179A CN106777994A CN 106777994 A CN106777994 A CN 106777994A CN 201611197179 A CN201611197179 A CN 201611197179A CN 106777994 A CN106777994 A CN 106777994A
- Authority
- CN
- China
- Prior art keywords
- factor
- factors
- evaluation
- collection
- water pressure
- 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
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
- G16Z99/00—Subject matter not provided for in other main groups of this subclass
Landscapes
- Excavating Of Shafts Or Tunnels (AREA)
Abstract
A kind of external hydraulic pressure upon tunnel lining evaluation method, effectively to solve the problems, such as that existing method is difficult to apply to Practical Project.Comprise the following steps：The influence factor and the evaluation result rank for water pressure of water pressure are set, set of factors U and evaluate collection V is set up；Single factor test in the set of factors U is judged relative to the degree of membership of each grade in opinion rating V, fuzzy evaluating matrix R is set up；Each factor in the set of factors U is compared two-by-two, judgment matrix C is set up according to significance level, and the weight sets A of each factor in set of factors U is solved according to judgment matrix C；Using blurring mapping B=A × R, obtain fuzzy evaluation results B, B and obtain evaluation result collection B ＇ through normalized, according to maximum membership grade principle, take B ＇ and concentrate the evaluation result rank in evaluate collection V corresponding to the maximum as output result.
Description
Technical field
The present invention relates to a kind of method of tunnel external water pressure fuzzy evaluation, more particularly to a kind of outer hydraulic pressure of tunnel-liner
Power evaluation method.
Background technology
Karst features account for 15% on earth, and China Karst distribution is very wide.With Chinese transportation infrastructure construction
Fast development, increasing mountain tunnel is built in karst area.Due to the effect of karst region hydraulic pressure high, it is ensured that liner structure
Long-term safety and durability are a problems hanged for a long time and do not solve.Tunnel causes liner structure to ftracture, damage due to hydraulic pressure high
The disease such as bad happens occasionally.Beijing-Guangzhou Railway south mountain tunnel part jetting, washes upside down abutment wall.Three Gorges are bypassed the dam site high speed Ji Jiapo tunnels heavy rain
Afterwards, lining cutting is born hydraulic pressure high and is ftractureed.Lining cutting water pressure is the principal element for influenceing Karst Tunnel liner structure security, in view of
Hydraulic pressure high causes the case of tunnel-liner disease to happen occasionally, and lining cutting water pressure influence factor is numerous, it is therefore necessary to carry out
The research of Karst Area tunnel-liner distribution of water pressure feature, analyzes the influence factor of lining cutting water pressure, studies lining cutting hydraulic pressure
The regularity of distribution of power.
Substantially there are 3 kinds of situations in foreign countries to tunnel external water pressure value disunity at present：(1) discount coefficient method；(2) full water
Head method；(3) may maximum head value.During domestic tunnel-liner water pressure calculation, railway and traffic department do not make also
Determine unified standard, mostly referring still to hydraulic tunnel design specification and correlation experience method, domestic external hydraulic pressure upon tunnel lining meter
Calculation method mainly has following 5 kinds：(1) discount coefficient method；(2) analytic-numerical method；(3) theoretical analysis；(4) Analysis of The Seepage method；
(5) hydrogeochemistry method.Any of the above method belongs to semi-analytic method mostly, but geology is in itself a complexity
Structure, influence external water pressure on lining influence factor is more, it is difficult to which quantitative analysis goes out external water pressure on lining, and above method applies to reality
Still there is certain difficulty in the engineering of border, the problem has become this area engineers urgent problem.
The content of the invention
It is difficult effectively to solve existing method it is an object of the invention to provide a kind of external hydraulic pressure upon tunnel lining evaluation method
To apply to the problem of Practical Project.
The technical scheme that present invention solution above-mentioned technical proposal is taken is as follows：
A kind of external hydraulic pressure upon tunnel lining evaluation method of the invention, comprises the following steps：
(1) influence factor and the evaluation result rank for water pressure of water pressure are set, set of factors U and evaluation is set up
Collection V；
(2) single factor test in the set of factors U is judged relative to the degree of membership of each grade in opinion rating V, is built
Vertical fuzzy evaluating matrix R；
(3) each factor in the set of factors U is compared two-by-two, judgment matrix C is set up according to significance level, and according to judgement
Matrix C solves the weight sets A of each factor in set of factors U；
(4) using blurring mapping B=A × R, fuzzy evaluation results B, B are obtained and obtains evaluation result collection through normalized
B ＇, according to maximum membership grade principle, take B ＇ and concentrate the evaluation result rank in evaluate collection V corresponding to the maximum to be tied as output
Really.
The present invention by being input into the influence factor and the evaluation result for water pressure of water pressure, set up set of factors U and
Evaluate collection V；Single factor test in set of factors U is judged, fuzzy evaluating matrix R is set up；Each factor in set of factors is compared two-by-two
Compared with, judgment matrix C is set up according to significance level, according to judgment matrix C, set up factorial power sets A；Using blurring mapping B=A ×
R, obtains fuzzy evaluation results B, B and obtains evaluation result collection B ＇ through normalized, according to maximum membership grade principle, that is, takes B ＇ collection
The evaluation result rank in evaluate collection V corresponding to middle the maximum is output as being evaluated the evaluation result classification of object.
The beneficial effects of the invention are as follows judge so as to carrying out external hydraulic pressure upon tunnel lining by each factor in tunnel
Fuzzy evaluation, finally advises to tunnel water handling way choice；In the environment of complex geologic conditions, to rich water karst
External hydraulic pressure upon tunnel lining carries out Assessment for classification, gives the guarded drainage mode of recommendation, is the design and fortune of tunnel lining structure
The judgement of battalion's phase external water pressure size provides important references.
Specific embodiment
Embodiments of the invention are described in detail below.
A kind of external hydraulic pressure upon tunnel lining evaluation method of the invention, comprises the following steps：
The influence factor and the evaluation result rank for water pressure of water pressure are set, set of factors U and evaluate collection is set up
V。
Determine the influence factor of water pressure, set up set of factors U, set of factors U includes：Geological structure, country rock permeability, karst
The supply of water, the excretion of karst water, the big factor of vertical distribution 5 of karst water.Wherein, geological structure includes to oblique, anticline and breaks
Layer three types；Country rock permeability includes strong, the weak Three Estate of neutralization；The supply of karst water is divided into bad and good；Karst water
Excretion include the upper point of release, the lower point of release and without the point of release；The vertical distribution of karst water includes horizontal runoff zones and vertically oozes
Stream band.
Size according to water pressure sets up evaluate collection V, as shown in the table：
| Rank | Implication |
| It is low | 0~0.5MPa of water pressure |
| In | 0.5~1.5MPa of water pressure |
| It is high | 1.5~3MPa of water pressure |
| It is high | More than water pressure 3MPa |
Single factor test in the set of factors U is judged relative to the degree of membership of each grade in opinion rating V, mould is set up
Paste Evaluations matrix R.
With expert survey, to single factor test u in set of factors UiMake simple element evaluation, from factor uiHave the judge object in mind
To opinion rating v in evaluate collection VjDegree of membership be rij, obtain factor uiSingle factor evaluation collection ri：
ri=(ri1, ri2..., ri4)；
A total Evaluations matrix R is constructed from each factor of set of factors
Wherein, rijRepresent from factor uiHaving the judge object in mind can be evaluated as grade viDegree of membership, i.e. rijRepresent because
Plain uiIn opinion rating viOn frequency distribution.R is carried out into nondimensionalization treatment, will its normalization it is met Σ rij=1.
With expert survey, Tunnel Engineering field associated specialist is engaged, statistical analysis is carried out to result, determine each factor
Degree of membership.If n expert is had, from factor uiHave the judge object in mind and be evaluated as grade viTotal m expert, then
Factor uiIn opinion rating vjOn frequency distribution be m/n, then the degree of membership r of the factorij=m/n.
Each factor in the set of factors U is compared two-by-two, judgment matrix C is set up according to significance level, and according to judging square
Battle array C solves the weight sets A of each factor in set of factors U.
Each factor in set of factors is compared two-by-two, according to significance level, judgment matrix C is set up：
Wherein, cijRepresent from factor i and factor j relative to the significance level of evaluation objective, c is determined with analytic hierarchy process (AHP)ij
Value.
| Scale | Implication |
| 1 | I and the factors of j two are of equal importance |
| 3 | I factors are somewhat more important than j factor |
| 5 | I factors are substantially more important than j factor |
| 7 | I factors are strongly more important than j factor |
| 9 | I factors are more extremely important than j factor |
| 2,4,6,8 | The intermediate value of above-mentioned two adjacent importance degree |
| It is reciprocal | Factor i compares to obtain bij with j, then factor j compares to obtain bji=1/bij with i |
To reflect significance level of each factor relative to evaluation objective, a flexible strategy a is assigned to each factori, set up
Factorial power sets A, and meet ∑ ai=1：
A={ a1 a2 a3 a4 a5}；
Consistency check is carried out to judgment matrix C makes it meet consistency ration CR ＜ 0.1, when consistency ration is unsatisfactory for
When, result now may occur logicality mistake, should be to the element of judgment matrix C is checked and repaiied according to analytic hierarchy process (AHP)
Just, expert's questionnaire should be again done if necessary, when need to meet Consistency Ratio CR ＜ 0.1 and be unsatisfactory for, can all be processed in this way,
It is aftermentioned to be not repeated.
According to CA=ymaxThe eigenvalue of maximum y of A calculating matrix CmaxWith its corresponding characteristic vector A, the component of A be with
The weight of corresponding 5 factors of set of factors U.
4th, using blurring mapping B=A × R, fuzzy evaluation results B, B are obtained and obtains evaluation result collection through normalized
B ＇, according to maximum membership grade principle, take B ＇ and concentrate the evaluation result rank in evaluate collection V corresponding to the maximum to be tied as output
Really.
.Using blurring mapping B=A × R, fuzzy evaluation results B is obtained.Do not go together with reflecting in Evaluations matrix R and be evaluated
Which evaluation result grade object belongs to from single factor analysis.Carried out with the factorial power sets A rows different to Evaluations matrix R comprehensive
Close, can obtain being evaluated object and analyzing on the whole which evaluation result grade, as fuzzy evaluation results collection B belonged to.
Evaluation result B is normalized and obtains evaluation result collection B ＇, it is met Σ bi=1, biIt is the power of B ＇
Number；
Combining assessment result set B ＇, according to maximum membership grade principle, take biEvaluation in evaluate collection V corresponding to middle the maximum
As a result rank is used as output result.
According to the different guarded drainage mode of evaluation result classification selection.If solution cavity scale is big, water pressure is " high, height "
Level, using releasing the processing mode that can be depressured.Releasing energy voltage drop method can significantly cut down water pressure, typically also be carried out by drain cavern
Sluice；If solution cavity small scale, water pressure for " in " level, using the processing mode of " slip casting+row leads ".Country rock is reduced by slip casting
Infiltration coefficient, play plugging function, penetrate into the ponding of lining cutting behind and discharged by exhaust system；If water pressure is " low "
Level, and surface settlement control is strict, water resource needs strict protection, it is contemplated that use full block up design.Tunnel is set using full closure
Timing, underground water is blocked in lining cutting behind completely, it is impossible to discharged；Above-mentioned all guarded drainage modes can be all arranged at mode using complete
Reason, makes liner structure bear the water pressure of very little, but water resource loss is more, need to use with caution.
Embodiment：
The large-scale molten chamber of water-enriched filling type is developed at D tunnels X, positioned at synclinal structure band, molten chamber section is Triassic system Daye group ash
Rock, country rock permeability is strong." molten chamber at X " and the aqueous crack in top, pipeline communication, directly receive the supply of top underground water, ground
Lower water supply is good.Earth's surface is water paddy dam karst valley at this, more than tunnel absolute altitude develops the strong point of release.The molten chamber section is located at rock
Molten horizontal runoff zones, karst intense development.
Design, construction, R＆D institution's person skilled 20 are chosen, the size to the tunnel water pressure is commented
Valency.Evaluation result is as shown in the table:
| Project | It is low | In | It is high | It is high |
| Geological structure | 3 | 5 | 6 | 6 |
| Country rock permeability | 1 | 2 | 7 | 10 |
| Karst water feeds | 1 | 2 | 8 | 9 |
| Karst water is drained | 2 | 4 | 6 | 8 |
| Karst water vertical zoning | 2 | 2 | 7 | 9 |
Counted according to evaluation result, calculate degree of membership, and then determine fuzzy evaluating matrix R.
Compare each factor two-by-two, according to its relative importance degree, with reference to upper table, Judgement Matricies C.
The corresponding characteristic vector of eigenvalue of maximum is calculated, and through consistency check, and meet Consistency Ratio CR ＜ 0.1,
Weight sets A, A=(0.06,0.14,0.27,0.24,0.29) can so be tried to achieve.
Blurring mapping B=A × R is carried out, and is obtained after normalized, B ＇=(0.082,0.133,0.349,0.436).
According to maximum membership grade principle, D tunnels " molten chamber at X ", tunnel water pressure is assessed as high level.
D tunnels " molten chamber at X " section karst intense development, water pressure evaluation result is " high " level, it is contemplated that need protecting field
Lower water resource, is processed, to reduce water pressure, it is ensured that construction safety using energy voltage drop method is released.
The preferred embodiments of the present invention are the foregoing is only, is not intended to limit the invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.It is all within the spirit and principles in the present invention, made any repair
Change, equivalent, improvement etc., should be included within the scope of the present invention.
Claims (5)
1. a kind of external hydraulic pressure upon tunnel lining evaluation method, comprises the following steps：
(1) influence factor and the evaluation result rank for water pressure of water pressure are set, set of factors U and evaluate collection V is set up；
(2) single factor test in the set of factors U is judged relative to the degree of membership of each grade in opinion rating V, sets up mould
Paste Evaluations matrix R；
(3) each factor in the set of factors U is compared two-by-two, judgment matrix C is set up according to significance level, and according to judgment matrix
C solves the weight sets A of each factor in set of factors U；
(4) using blurring mapping B=A × R, fuzzy evaluation results B, B are obtained and obtains evaluation result collection B ＇, root through normalized
According to maximum membership grade principle, take B ＇ and concentrate the evaluation result rank in evaluate collection V corresponding to the maximum as output result.
2. a kind of external hydraulic pressure upon tunnel lining evaluation method as claimed in claim 1, it is characterised in that step (2) bag
Include：
With expert survey, to single factor test u in set of factors UiMake simple element evaluation, from factor uiThe judge object is had in mind to commenting
Opinion rating v in valency collection VjDegree of membership be rij, obtain factor uiSingle factor evaluation collection ri：
ri=(ri1, ri2..., ri4)；
A total Evaluations matrix R is constructed from each factor of set of factors：
Wherein, rijRepresent from factor uiHaving the judge object in mind can be evaluated as grade viDegree of membership, i.e. rijExpression factor ui
Opinion rating viOn frequency distribution.R is carried out into nondimensionalization treatment, will its normalization it is met ∑ rij=1.
3. a kind of external hydraulic pressure upon tunnel lining evaluation method as claimed in claim 1, it is characterised in that step (3) bag
Include：
Each factor in set of factors is compared two-by-two, according to significance level, judgment matrix C is set up：
Determine c with analytic hierarchy process (AHP)ijValue；
A flexible strategy α is assigned to each factori, factorial power sets A is set up, and meet ∑ ai=1：
A={ a1 a2 a3 a4 a5}；
Consistency check is carried out to judgment matrix C makes it meet consistency ration CR ＜ 0.1, according to CA=ymaxA calculating matrix C
Eigenvalue of maximum ymaxWith its corresponding characteristic vector A, the component of A is the weight of 5 factors corresponding with set of factors U.
4. a kind of external hydraulic pressure upon tunnel lining evaluation method as claimed in claim 1, it is characterised in that step (4) bag
Include：
Using blurring mapping B=A × R, fuzzy evaluation results B is obtained；
Evaluation result B is normalized and obtains evaluation result collection B ＇, it is met Σ bi=1, biIt is the flexible strategy of B ＇；
Combining assessment result set B ＇, according to maximum membership grade principle, take biEvaluation result in evaluate collection V corresponding to middle the maximum
Rank is used as output result.
5. a kind of external hydraulic pressure upon tunnel lining evaluation method as claimed in claim 1, it is characterised in that selected according to evaluation result
Select correspondence guarded drainage mode as follows：Solution cavity scale is big, and water pressure is " high, high " level, using releasing the processing mode that can be depressured；It is molten
Hole small scale, water pressure for " in " level, using the processing mode of " slip casting+row leads "；Water pressure is " low " level, is set using full closure
Meter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611197179.XA CN106777994A (en) | 2016-12-22 | 2016-12-22 | A kind of external hydraulic pressure upon tunnel lining evaluation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611197179.XA CN106777994A (en) | 2016-12-22 | 2016-12-22 | A kind of external hydraulic pressure upon tunnel lining evaluation method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106777994A true CN106777994A (en) | 2017-05-31 |
Family
ID=58900417
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611197179.XA Pending CN106777994A (en) | 2016-12-22 | 2016-12-22 | A kind of external hydraulic pressure upon tunnel lining evaluation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106777994A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109670217A (en) * | 2018-11-30 | 2019-04-23 | 中南大学 | The weight analysis method and computer system of tunnel aerodynamic loading influence factor |
| CN110766313A (en) * | 2019-10-18 | 2020-02-07 | 山东电工电气集团有限公司 | Cable tunnel comprehensive state evaluation method based on operation and maintenance system |
| CN111927718A (en) * | 2020-08-20 | 2020-11-13 | 国电联合动力技术有限公司 | Optimizing method and device for transmission chain of wind generating set |
| CN115994494A (en) * | 2022-11-21 | 2023-04-21 | 长江三峡勘测研究院有限公司（武汉） | Method and system for estimating diving high external water pressure of multilayer slowly-inclined rock-soil body deep-buried tunnel |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101949895A (en) * | 2010-08-20 | 2011-01-19 | 江苏大学 | Method for identifying fine crack impact signal of metal deep drawing part |
| CN104361460A (en) * | 2014-11-20 | 2015-02-18 | 江苏物联网研究发展中心 | Road service level evaluation method adopting fuzzy synthetic evaluation method |
| CN104504293A (en) * | 2015-01-14 | 2015-04-08 | 南京理工大学 | Method for evaluating thermal explosion risk of material by fuzzy comprehensive evaluation method |
| CN105488241A (en) * | 2015-09-07 | 2016-04-13 | 国网山西省电力公司 | Method for evaluating influence and damage of goafs on power transmission lines |
-
2016
- 2016-12-22 CN CN201611197179.XA patent/CN106777994A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101949895A (en) * | 2010-08-20 | 2011-01-19 | 江苏大学 | Method for identifying fine crack impact signal of metal deep drawing part |
| CN104361460A (en) * | 2014-11-20 | 2015-02-18 | 江苏物联网研究发展中心 | Road service level evaluation method adopting fuzzy synthetic evaluation method |
| CN104504293A (en) * | 2015-01-14 | 2015-04-08 | 南京理工大学 | Method for evaluating thermal explosion risk of material by fuzzy comprehensive evaluation method |
| CN105488241A (en) * | 2015-09-07 | 2016-04-13 | 国网山西省电力公司 | Method for evaluating influence and damage of goafs on power transmission lines |
Non-Patent Citations (5)
| Title |
|---|
| 夏才初，主编；: "《和谐地球上的水工岩石力学 2010年8月第1版 》", 31 August 2010, 同济大学出版社 * |
| 姚乐，: "复合地层土压平衡盾构掘进适应性评价", 《中国优秀硕士学位论文全文数据库工程科技II辑（月刊）》 * |
| 武汉铁路局宜万铁路工程建设指挥部，主编；: "《宜万铁路工程总结 2013年12月第1版》", 31 December 2013, 西南交通大学出版社 * |
| 王建宇，著；: "《隧道工程的技术进步 2004年3月第1版》", 31 March 2004, 中国铁道出版社 * |
| 陆怡，: "模糊综合评价方法及其在风险分析中的应用", 《江苏工业学院学报》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109670217A (en) * | 2018-11-30 | 2019-04-23 | 中南大学 | The weight analysis method and computer system of tunnel aerodynamic loading influence factor |
| CN109670217B (en) * | 2018-11-30 | 2023-04-18 | 中南大学 | Weight analysis method for tunnel aerodynamic load influence factors and computer system |
| CN110766313A (en) * | 2019-10-18 | 2020-02-07 | 山东电工电气集团有限公司 | Cable tunnel comprehensive state evaluation method based on operation and maintenance system |
| CN110766313B (en) * | 2019-10-18 | 2024-01-26 | 山东电工电气集团有限公司 | Cable tunnel comprehensive state evaluation method based on operation and maintenance system |
| CN111927718A (en) * | 2020-08-20 | 2020-11-13 | 国电联合动力技术有限公司 | Optimizing method and device for transmission chain of wind generating set |
| CN115994494A (en) * | 2022-11-21 | 2023-04-21 | 长江三峡勘测研究院有限公司（武汉） | Method and system for estimating diving high external water pressure of multilayer slowly-inclined rock-soil body deep-buried tunnel |
| CN115994494B (en) * | 2022-11-21 | 2024-06-11 | 长江三峡勘测研究院有限公司（武汉） | Method and system for estimating diving high external water pressure of multilayer slowly-inclined rock-soil body deep-buried tunnel |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104898183B (en) | Heavy rain urban waterlogging modelling evaluation method | |
| CN106777994A (en) | A kind of external hydraulic pressure upon tunnel lining evaluation method | |
| Wu et al. | Evaluation and zoning of groundwater hazards in Pingshuo No. 1 underground coal mine, Shanxi Province, China | |
| CN103995947A (en) | Improved coal seam floor water inrush vulnerability evaluation method | |
| Yang et al. | Risk assessment model of tunnel water inrush based on improved attribute mathematical theory | |
| CN105275471A (en) | Method for determining surface mine exploiting limit | |
| ASLI et al. | Non-Revenue Water (NRW) and 3d hierarchical model for landslide | |
| CN113570226A (en) | Method for evaluating occurrence probability grade of tunnel water inrush disaster in fault fracture zone | |
| Atharinafi et al. | Land use change and its impacts on surface runoff in rural areas of the upper citarum watershed (case study: Cirasea subwatershed) | |
| Li et al. | The optimal framework and model to balance underground coal mining and cropland protection in Jining, eastern China | |
| Meng et al. | Risk assessment of shield tunnel construction in karst strata based on fuzzy analytic hierarchy process and cloud model | |
| CN105718648B (en) | Watershed Scale underground water transports blocking priority acccess control limited region dividing method to surface water nitrogen | |
| CN110245833A (en) | A kind of Development in Nature Reserve construction project Ecological Evaluation method and its system | |
| Kang et al. | Construction and optimization of the Saihanba ecological network | |
| CN105631155A (en) | Reservoir-induced earthquake probability calculation method | |
| CN105005649A (en) | Potential underground water distribution mapping method | |
| Hsieh et al. | Ground-water flow model for the Spokane valley-Rathdrum prairie aquifer, Spokane County, Washington, and Bonner and Kootenai Counties, Idaho | |
| CN104750936A (en) | GIS (Geographic Information System)-based urban hydrological run-off calculating method and system | |
| Bi et al. | Establishing a Clean‐quality Indicator System for Evaluating Reclaimed Land in the Antaibao Opencast Mine Area, China | |
| Sun et al. | Risk assessment of water inrush in karst tunnels based on fuzzy comprehensive evaluation considering misjudgment losses: a case study | |
| Yu et al. | Dynamic Risk Assessment of Karst Tunnel Collapse Based on Fuzzy‐AHP: A Case Study of the LianHuaShan Tunnel, China | |
| CN106991521A (en) | A kind of tunnels and underground engineering slip casting effect grade evaluation method and system | |
| CN101561359A (en) | Grading method for gas tunnel | |
| Naseri et al. | Evaluation of groundwater resources potential using analytical hierarchy process (AHP) and remote sensing geographic information system (GIS), a case study: Garmsar’s catchment basin | |
| CN105205328A (en) | Geological dynamical environment evaluating method based on generalized fractal dimensions and characteristic parameters |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170531 |