CN104142522A - Method for detecting city buried faults - Google Patents

Method for detecting city buried faults Download PDF

Info

Publication number
CN104142522A
CN104142522A CN201310172868.5A CN201310172868A CN104142522A CN 104142522 A CN104142522 A CN 104142522A CN 201310172868 A CN201310172868 A CN 201310172868A CN 104142522 A CN104142522 A CN 104142522A
Authority
CN
China
Prior art keywords
section
resistivity
measurement
low
data
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.)
Granted
Application number
CN201310172868.5A
Other languages
Chinese (zh)
Other versions
CN104142522B (en
Inventor
吴曲波
徐贵来
柯丹
潘自强
马娇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Research Institute of Uranium Geology
Original Assignee
Beijing Research Institute of Uranium Geology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beijing Research Institute of Uranium Geology filed Critical Beijing Research Institute of Uranium Geology
Priority to CN201310172868.5A priority Critical patent/CN104142522B/en
Publication of CN104142522A publication Critical patent/CN104142522A/en
Application granted granted Critical
Publication of CN104142522B publication Critical patent/CN104142522B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/30Assessment of water resources

Landscapes

  • Geophysics And Detection Of Objects (AREA)

Abstract

The invention relates to a method for detecting city buried faults. The method sequentially comprises the steps of conducting soil radon gas measurement, conducting the high density electrical technique, conducting seismic surface wave exploration, extracting the section with abnormal contrast over 2.0 by means of radon gas measurement data and judging that the section is abnormal, judging that the low-speed section with Poisson ratio over 0.4 is abnormal by means of seismic surface wave measurement data, judging that the low-resistivity section with the transverse ratio of the low-resistivity value to the maximum value of surrounding rock resistivity below 0.2 is abnormal by means of high density electrical measurement data, and judging that the probability of existence of a fault structure at the coinciding position of the three abnormal sections is over 90% when the three abnormal sections coincide totally or partially. By the adoption of the method, city buried faults can be detected quickly, economically and effectively, and a reference is provided for engineering construction and disaster prevention in city construction.

Description

The detection method of a kind of city buried faults
Technical field
The present invention relates to the detection method of a kind of city buried faults, particularly relate to a kind of detection method that can effectively survey fast the locus of city buried faults and the city buried faults of occurrence.
Background technology
City dweller's the person and property safety in city buried faults serious harm, and because being subject to city disturbing effect serious, it is very large that City Fault is detected difficulty.Conventional method for surveying all can be subject to city electrical interference as ground penetrating radar method and electromagnetic method; Shallow earthquake rule can be disturbed by City Humanities, destroys urban architecture facility simultaneously.And high-density electric belongs to self-powered method and can overcome to greatest extent electrical interference, and image data contains much information, and high-density electric utilizes electrical property difference can effectively find out fracture geological information simultaneously; Seismic surface wave method is taked hammering epicenter excitation, can avoid as far as possible external shock and disturb, and seismic surface wave method is very sensitive to the positional information of fracture, urban architecture facility is not destroyed and impact simultaneously; Radon survey method belongs to the measuring method of independently bleeding, and is subject to ectocine little, and very sensitive to shallow faults message reflection.Therefore need the detection method of the city buried faults that three kinds of method advantages of a kind of combination are provided badly.
Summary of the invention
The technical problem to be solved in the present invention is to provide 3 kinds of a kind of associatings and detects measuring method advantage, accurately and fast, economical, nondestructively detect the detection method of the city buried faults of rift structure position and occurrence.
For solving the problems of the technologies described above, the detection method of a kind of city of the present invention buried faults, comprises the following steps successively:
(1) along move towards to arrange measurement section perpendicular to the buried faults that may exist;
(2) carry out soil radon measurement method, obtain measuring point exceptional value a and measure background value lower limit b;
(3) carry out high-density electric;
(4) carry out seismic surface wave method;
(5) utilize radon survey data, obtain profile anomaly contrast C=a/b; Extract anomaly contrast and reach more than 2.0 sections, judge that this section is exceptions area;
(6) utilize seismic surface wave measurement data, the underground surface wave speed profile of inverting figure, obtains velocity of longitudinal wave V mpwith shear wave velocity V ms; Obtain Poisson ratio μ d;
μ d = V mp 2 - 2 V ms 2 2 ( V mp 2 - V ms 2 ) ;
At low velocity section, when Poisson ratio reaches more than 0.4, judge that this section is exceptions area;
(7) utilize high density electric survey data, inverting subsurface resistivity sectional view, at low-resistivity section, transversely contrast, when low-resistivity value with the ratio of the mxm. of side-bed resistivity below 0.2, judge that this section is exceptions area;
(8) three exceptions area in step (5), (6), (7) overlap or partially overlap, and judge that this coincidence position exists the possibility of rift structure to surpass 90%;
Two exceptions area in step (5), (6), (7) overlap or partially overlap, and judge that this coincidence position exists the possibility of rift structure to surpass 40%.
The determination methods of low velocity section or low-resistivity section is:
Whole velocity amplitude data or resistivity value data are x 1, x 2... ..x n, N is whole data amount check, its average the mean square deviation of whole data get certain sector data y in section 1, y 2... ..y m, M is described sector data number, its average the mean square deviation of described sector data is when β is less than α, and (alpha-beta) >20% * α, and judge that described section is low velocity section or low-resistivity section.
Soil radon measurement parameter is: the degree of depth of bleeding 50~70cm, adopt 1m~2m point distance, and the number of times of bleeding adopts 4~5 times, and the time of bleeding is greater than 5 minutes at every turn, and controls and bleed humidity in 10%; When the error of last twice measured value is greater than 10%, the measurement of next time bleeding, measurement result is got last measured value.
High density electric survey parameter is: potential electrode is used non-polarizing electrode, and track pitch adopts 1m~2m, whole arrangement 60~100 road electrodes, section spread length 59~198m, measurement mechanism type is used Dipole-Dipole Array type, spot measurement time 1~2s, 1~3 of measuring period.
Seismic surface wave method measurement parameter is: focus is used 8~12 pound weight hammers, wave detector frequency is selected 4~10Hz, offset distance is used 4~10m, wave detector point is apart from 1m~2m, 12~24 road wave detectors are used in whole arrangement, spread length 11~46m, sampling rate 0.125ms~0.25ms, record length 0.25s~0.5s; After once exciting and having measured, mobile 1~2 geophone station forward, until profile survey is complete.
The present invention surveys city buried faults, adopt soil radon measurement method, seismic surface wave method and three kinds of method of exploration of high-density electric to combine, can not destroy under the prerequisite of urban infrastructure, overcoming City Humanities disturbs, fast, economical is surveyed city buried faults effectively, for the engineering construction in urban construction and disaster prevention provide reference frame.
Embodiment
The present invention uses that high-density electric, seismic surface wave method and radon survey method are common measures same geologic section, according to geologic body electrically, elasticity and radioactivity feature, integrated prospecting section rift structure information.Combine 3 kinds of measuring methods and can learn from other's strong points to offset one's weaknesses and form to make a concerted effort, reach accurately and fast, economic, the object of nondestructively detecting rift structure position and occurrence.
Specifically, comprise the following steps successively:
(1) along move towards to arrange measurement section perpendicular to the buried faults that may exist;
(2) carry out soil radon measurement method, obtain measuring point exceptional value a and measure background value lower limit b;
Soil radon measurement parameter is: the degree of depth of bleeding 50~70cm, adopt 1m~2m point distance, and the number of times of bleeding adopts 4~5 times, and the time of bleeding is greater than 5 minutes at every turn, and controls and bleed humidity in 10%; When the error of last twice measured value is greater than 10%, the measurement of next time bleeding, measurement result is got last measured value;
(3) carry out high-density electric;
High density electric survey parameter is: potential electrode is used non-polarizing electrode, track pitch adopts 1m~2m, whole arrangement 60~100 road electrodes, section spread length 59~198m(is determined by electrode road number), measurement mechanism type is used Dipole-Dipole Array type, spot measurement time 1~2s, 1~3 of measuring period; According to section spread length and measurement length profile (being task), the work of reasonable Arrangement high-density electric.Such as, section spread length is 100m, measurement length profile is 1000m, needing to carry out the detection that 9 times high density electric survey just can complete whole measurement section (works in 100m-200m section for the first time, in the work of 200m-300m section, in 300m-400m section, work for the third time for the second time .... in 900m-1000m section, work for the 9th time.)
(4) carry out seismic surface wave method;
Seismic surface wave method measurement parameter is: focus is used 8~12 pound weight hammers, wave detector frequency is selected 4~10Hz, offset distance is used 4~10m, wave detector point is apart from 1m~2m, 12~24 road wave detectors are used in whole arrangement, spread length 11~46m, sampling rate 0.125ms~0.25ms, record length 0.25s~0.5s; After once exciting and having measured, mobile 1~2 geophone station forward, until profile survey is complete;
(5) utilize radon survey data, obtain profile anomaly contrast C=a/b; Extract anomaly contrast and reach more than 2.0 sections, judge that this section is exceptions area;
(6) utilize seismic surface wave measurement data, the underground surface wave speed profile of inverting figure, obtains velocity of longitudinal wave V mpwith shear wave velocity V ms; Obtain Poisson ratio μ d;
μ d = V mp 2 - 2 V ms 2 2 ( V mp 2 - V ms 2 ) ;
At low velocity section, when Poisson ratio reaches more than 0.4, judge that this section is exceptions area;
(7) utilize high density electric survey data, inverting subsurface resistivity sectional view, at low-resistivity section, transversely contrast, when low-resistivity value with the ratio of the mxm. of side-bed resistivity below 0.2, judge that this section is exceptions area;
Low velocity section or low-resistivity section are defined as:
Whole velocity amplitude data or resistivity value data are x 1, x 2... ..x n, N is whole data amount check, its average the mean square deviation of whole data get certain sector data y in section 1, y 2... ..y m, M is described sector data number, its average the mean square deviation of described sector data is when β is less than α, and (alpha-beta) >20% * α; And judge that described section is low velocity section or low-resistivity section.
(8) three exceptions area in step (5), (6), (7) overlap or partially overlap, and judge that this coincidence position exists the possibility of rift structure to surpass 90%;
Two exceptions area in step (5), (6), (7) overlap or partially overlap, and judge that this coincidence position exists the possibility of rift structure to surpass 40%;
And the exceptions area of each method Measurement results all may exist rift structure, need draw attention.And can be according to the attitude Characteristics of the extension form evaluation fracture of the low resistivity region of the low velocity district of seismic surface wave achievement and high-density electric achievement.

Claims (5)

1. a detection method for city buried faults, comprises the following steps successively:
(1) along move towards to arrange measurement section perpendicular to the buried faults that may exist;
(2) carry out soil radon measurement method, obtain measuring point exceptional value a and measure background value lower limit b;
(3) carry out high-density electric;
(4) carry out seismic surface wave method;
(5) utilize radon survey data, obtain profile anomaly contrast C=a/b; Extract anomaly contrast and reach more than 2.0 sections, judge that this section is exceptions area;
(6) utilize seismic surface wave measurement data, the underground surface wave speed profile of inverting figure, obtains velocity of longitudinal wave V mpwith shear wave velocity V ms; Obtain Poisson ratio μ d;
μ d = V mp 2 - 2 V ms 2 2 ( V mp 2 - V ms 2 ) ;
At low velocity section, when Poisson ratio reaches more than 0.4, judge that this section is exceptions area;
(7) utilize high density electric survey data, inverting subsurface resistivity sectional view, at low-resistivity section, transversely contrast, when low-resistivity value with the ratio of the mxm. of side-bed resistivity below 0.2, judge that this section is exceptions area;
(8) three exceptions area in step (5), (6), (7) overlap or partially overlap, and judge that this coincidence position exists the possibility of rift structure to surpass 90%;
Two exceptions area in step (5), (6), (7) overlap or partially overlap, and judge that this coincidence position exists the possibility of rift structure to surpass 40%.
2. the detection method of a kind of city according to claim 1 buried faults, is characterized in that: the determination methods of described low velocity section or low-resistivity section is:
Whole velocity amplitude data or resistivity value data are x 1, x 2... ..x n, N is whole data amount check, its average the mean square deviation of whole data get certain sector data y in section 1, y 2... ..y m, M is described sector data number, its average the mean square deviation of described sector data is when β is less than α, and (alpha-beta) >20% * α, and judge that described section is low velocity section or low-resistivity section.
3. the detection method of a kind of city according to claim 1 buried faults, it is characterized in that: soil radon measurement parameter is: the degree of depth of bleeding 50~70cm, adopt 1m~2m point distance, the number of times of bleeding adopts 4~5 times, the time of bleeding is greater than 5 minutes at every turn, and controls and bleed humidity in 10%; When the error of last twice measured value is greater than 10%, the measurement of next time bleeding, measurement result is got last measured value.
4. the detection method of a kind of city according to claim 1 buried faults, it is characterized in that: high density electric survey parameter is: potential electrode is used non-polarizing electrode, track pitch adopts 1m~2m, whole arrangement 60~100 road electrodes, section spread length 59~198m, measurement mechanism type is used Dipole-Dipole Array type, spot measurement time 1~2s, 1~3 of measuring period.
5. the detection method of a kind of city according to claim 1 buried faults, it is characterized in that: seismic surface wave method measurement parameter is: focus is used 8~12 pound weight hammers, wave detector frequency is selected 4~10Hz, offset distance is used 4~10m, wave detector point is apart from 1m~2m, and 12~24 road wave detectors, spread length 11~46m are used in whole arrangement, sampling rate 0.125ms~0.25ms, record length 0.25s~0.5s; After once exciting and having measured, mobile 1~2 geophone station forward, until profile survey is complete.
CN201310172868.5A 2013-05-10 2013-05-10 A kind of detection method of city buried faults Active CN104142522B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310172868.5A CN104142522B (en) 2013-05-10 2013-05-10 A kind of detection method of city buried faults

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310172868.5A CN104142522B (en) 2013-05-10 2013-05-10 A kind of detection method of city buried faults

Publications (2)

Publication Number Publication Date
CN104142522A true CN104142522A (en) 2014-11-12
CN104142522B CN104142522B (en) 2017-04-05

Family

ID=51851748

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310172868.5A Active CN104142522B (en) 2013-05-10 2013-05-10 A kind of detection method of city buried faults

Country Status (1)

Country Link
CN (1) CN104142522B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106291718A (en) * 2016-08-30 2017-01-04 中国电建集团贵阳勘测设计研究院有限公司 Unpolarizable electrode inlayed by a kind of high energy excitation polarization CAVE DETECTION method and high-strength copper pottery
CN109738947A (en) * 2018-12-12 2019-05-10 核工业北京地质研究院 A kind of Geophysical-chemical combined method for drawing a circle to approve Prospecting Sandstone-type Uranium Deposits prospective area
CN111551997A (en) * 2020-03-12 2020-08-18 上海环联生态科技有限公司 Investigation system and investigation method for concealed fracture layer
CN115346342A (en) * 2022-08-12 2022-11-15 骄鹏科技(北京)有限公司 Urban roadbed detection method and device and electronic equipment

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101604025A (en) * 2009-07-06 2009-12-16 中国地震局地质研究所 The recognition methods of strong earthquake-generating fault and application thereof
US20120130644A1 (en) * 2010-11-23 2012-05-24 Conocophillips Company Electrical methods seismic interface box
US20120146648A1 (en) * 2010-12-14 2012-06-14 Conocophillips Company Autonomous electrical methods node
CN103064129A (en) * 2012-12-29 2013-04-24 福州华虹智能科技开发有限公司 Magnetic vibration comprehensive detecting instrument underground coal mine and magnetic vibration comprehensive detection method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101604025A (en) * 2009-07-06 2009-12-16 中国地震局地质研究所 The recognition methods of strong earthquake-generating fault and application thereof
US20120130644A1 (en) * 2010-11-23 2012-05-24 Conocophillips Company Electrical methods seismic interface box
US20120146648A1 (en) * 2010-12-14 2012-06-14 Conocophillips Company Autonomous electrical methods node
CN103064129A (en) * 2012-12-29 2013-04-24 福州华虹智能科技开发有限公司 Magnetic vibration comprehensive detecting instrument underground coal mine and magnetic vibration comprehensive detection method

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
杜良 等: "综合物探技术在隐伏断层探测中的研究与应用", 《工程勘察》 *
谭大龙: "综合地球物理方法在断层勘察中的研究与应用", 《中国优秀硕士学位论文全文数据库·基础科学辑》 *
贾辉: "瞬态瑞利波法在隐伏断层探测中的应用研究", 《中国优秀硕士学位论文全文数据库·基础科学辑》 *
郭典塔 等: "综合物探在岩溶地区断裂破碎带的试验研究", 《工程勘察》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106291718A (en) * 2016-08-30 2017-01-04 中国电建集团贵阳勘测设计研究院有限公司 Unpolarizable electrode inlayed by a kind of high energy excitation polarization CAVE DETECTION method and high-strength copper pottery
CN109738947A (en) * 2018-12-12 2019-05-10 核工业北京地质研究院 A kind of Geophysical-chemical combined method for drawing a circle to approve Prospecting Sandstone-type Uranium Deposits prospective area
CN111551997A (en) * 2020-03-12 2020-08-18 上海环联生态科技有限公司 Investigation system and investigation method for concealed fracture layer
CN115346342A (en) * 2022-08-12 2022-11-15 骄鹏科技(北京)有限公司 Urban roadbed detection method and device and electronic equipment
CN115346342B (en) * 2022-08-12 2023-12-12 骄鹏科技(北京)有限公司 Urban roadbed detection method and device and electronic equipment

Also Published As

Publication number Publication date
CN104142522B (en) 2017-04-05

Similar Documents

Publication Publication Date Title
Ghosh et al. Application of underground microseismic monitoring for ground failure and secure longwall coal mining operation: a case study in an Indian mine
CN102426384B (en) Method for detecting underground goaf and karst distribution
CN104166164B (en) The many wave reflection 3-D seismics forward probe methods of coal roadway tunneling geological structure three-component
Zappone et al. Fault sealing and caprock integrity for CO 2 storage: an in-situ injection experiment
Lu et al. A review of geophysical exploration technology for mine water disaster in China: applications and trends
CN103995295A (en) Direct current electric method ground hole detection method and device
Cassidy et al. Combining multi-scale geophysical techniques for robust hydro-structural characterisation in catchments underlain by hard rock in post-glacial regions
CN104007472A (en) In-hole direct current electric method advanced detection method
CN104267442A (en) Transient electromagnetic simulated earthquake detection method used for coal mine underground
CN112965136B (en) Multi-means advanced detection method for water-rich karst tunnel
Jolie et al. Diffuse surface emanations as indicator of structural permeability in fault-controlled geothermal systems
Molron et al. Which fractures are imaged with Ground Penetrating Radar? Results from an experiment in the Äspö Hardrock Laboratory, Sweden
Kubacki et al. Changes in mining‐induced seismicity before and after the 2007 Crandall Canyon Mine collapse
CN102182437B (en) Method for determining and eliminating hydraulic fracture stress boundary of coal mine underground drilling
CN104142522A (en) Method for detecting city buried faults
Michael et al. The South West Hub In-Situ Laboratory–a facility for CO2 injection testing and monitoring in a fault zone
Martinelli Hydrogeologic and geochemical precursors of earthquakes: an assessment for possible applications.
Kasahara et al. Active geophysical monitoring
Su et al. Small fixed‐loop transient electromagnetic in tunnel forward geological prediction
Wen et al. Review of geophysical exploration on mined-out areas and water abundance
CN103336315A (en) Method adopting transient electromagnetic method and seismic imaging method to detect gold prospecting holes
Li et al. Identification and location method of microseismic event based on improved STA/LTA algorithm and Four-Cell-Square-Array in plane algorithm
Thabit et al. Detection of subsurface cavities by using pole-dipole array (Bristow's method)/hit area-western Iraq
Nie et al. Comprehensive ahead prospecting of tunnels in severely weathered rock mass environments with high water inrush risk: a case study in Shaanxi Province
Wang et al. Advanced prediction for multiple disaster sources of laneway under complicated geological conditions

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant