CN107272061B - A kind of automatic correlation method of infrasound signals and seismic events - Google Patents
A kind of automatic correlation method of infrasound signals and seismic events Download PDFInfo
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- CN107272061B CN107272061B CN201710513724.XA CN201710513724A CN107272061B CN 107272061 B CN107272061 B CN 107272061B CN 201710513724 A CN201710513724 A CN 201710513724A CN 107272061 B CN107272061 B CN 107272061B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/30—Analysis
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/61—Analysis by combining or comparing a seismic data set with other data
- G01V2210/616—Data from specific type of measurement
- G01V2210/6161—Seismic or acoustic, e.g. land or sea measurements
Abstract
The present invention relates to the automatic correlation methods of a kind of infrasound signals and seismic events, it is first determined infrasonic sound station inventory to be associated;For each infrasonic sound station to be associated, calculate separately its epicentral distance between seismic events to be associated, the station is to the azimuth of seismic events, the retrieval beginning and ending time of infrasound signals is determined according to earthquake Time To Event, the P phase and S phase signals for determining infrasonic sound station record obtain its infrasound signals search beginning and ending time;Infrasound signals in the azimuth coverage of each infrasonic sound station are scanned for, qualified infrasound signals is found out and is associated with as the infrasound signals induced by seismic events, and with seismic events, acoustic shock is formed and combines correlating event.The comprehensive multi-signal interconnection constraint condition of the present invention and event region historical information, can identify the infrasound signals induced by seismic events, improve event analysis accuracy;It can also will determine that part excludes in infrasonic monitoring data sequence source signal, reduce signal and judge risk by accident.
Description
Technical field
The invention belongs to earthquake monitoring fields, and in particular to a kind of correlating method of earthquake-infrasound signals, it is especially a kind of
The correlating method of infrasound signals and seismic events based on earthquake kind subevent.
Background technique
Infrasonic sound is in addition to for atmospheric event monitoring, event quick-fried for region mine, or even at a distance to larger earthquake magnitude
Shake event also has certain monitoring capability, not only can recorde the signal that seismic wave directly acts on the station, moreover it is possible to record shake
The source infrasound signal that nearby vibrations such as high mountain, island generate.By comprehensive analysis seismic signal and infrasound signals, it can be achieved that compared with
Single means it is more abundant analysis as a result, be more advantageous to event property analysis and differentiate.Due to atmosphere and meteorological condition
Complexity, the transmission speed of infrasound signals can not accurately measure as seismic wave, be used for the associated lattice point of seismic network
The traditional technologies such as search method can not be suitable for infrasound signals and be associated with.The potential infrasonic sound station relevant to specific seismic events is really
Determine, the search matching of phase infrasound signals in unison is not the technological difficulties for needing to solve in infrasonic sound-earthquake association.
Summary of the invention
The object of the present invention is to provide the automatic correlation method of a kind of infrasound signals and seismic events, solve extensive time
Sound platform net monitor infrasound signals and global earthquakes event can not the associated problem of Auto-matching, signal erroneous judgement wind can also be reduced
Danger;It can be automatically processed in seismic data or on the basis of man-machine interactively is analyzed, realize not phase infrasound signals and seismic events in unison
Efficient association, the Wave data Conjoint Analysis for two kinds of technological means of seismic monitoring and infrasonic monitoring provides technical support.
The technical solution of the present invention is as follows: the automatic correlation method of a kind of infrasound signals and seismic events, it is characterised in that: packet
Include following steps:
S1, it determines that the corresponding infrasound signals of seismic events to be associated can monitor epicentral distance mag_th: extracting first specifically
Body wave magnitude mb, the local magnitude M_L of shake event choose maximum value m therein as the station and screen earthquake magnitude, determine specific earthquake
The relationship that the corresponding infrasound signals of event can monitor epicentral distance mag_th and m is as follows:
According to above-mentioned relation, determines and meet earthquake magnitude-epicentral distance being associated with monitoring data in infrasonic monitoring platform net
Infrasonic sound station list 1;
S2, it is searched for from history infrasonic sound event database with seismic events distance to be associated less than specific epicentral distance threshold value
With reference to event, determine that once the associated infrasonic sound station, formation can be associated with infrasonic sound station list 2 to this area's history time sound events, it is comprehensive
Can be associated with infrasonic sound station list 1 with can be associated with infrasonic sound station list 2, form infrasonic sound station inventory to be associated;
S3, for each infrasonic sound station to be associated, calculate separately its epicentral distance between seismic events to be associated
disti,j, the azimuth az of the station to seismic eventsi,j;Wherein i is seismic events serial number to be associated, and j is the infrasonic sound station to be associated
Serial number;
Utilize epicentral distance disti,jCalculate signal frequency upper limit fmaxi,j, the signal theory under different equivalent sonic conditions walks
When, choose walking time error delt_timei,j;
S4, association infrasonic sound station aspect angle error;
S5, the retrieval beginning and ending time t_start that infrasound signals are determined according to earthquake Time To Eventi,jAnd t_endi,j;
S6, the P phase and S phase signals for determining infrasonic sound station record obtain its infrasound signals search beginning and ending time;
S7, the infrasound signals in the azimuth coverage of each infrasonic sound station are scanned for, finds out qualified infrasonic sound letter
It number is associated with as the infrasound signals induced by seismic events, and with seismic events, forms acoustic shock and combine correlating event.
The utility model has the advantages that on the one hand the present invention can be known by establishing the correlating methods of a kind of infrasound signals and seismic events
The infrasound signals that Chu not be induced by seismic events, improve event analysis accuracy;It on the other hand can be by infrasonic monitoring data sequence
It determines that part excludes in source signal, reduces signal and judge risk by accident.The invention proposes infrasound signals can monitoring distance with earthquake
The variation relation of earthquake magnitude gives infrasound signals frequency content with the changing rule of epicentral distance, it is determined that phase signals are not examined in unison
Infrasonic sound inspection may be implemented by the comprehensive utilization of a variety of constraint conditions and event region historical information in rope time interval
Survey signal is associated with earthquake kind subevent.The present invention can be not only used for infrasonic sound-seismic events association of man-machine interactively auditing events,
Also it can be used for infrasonic sound-seismic events association that computer automatically processes event.By using event correlation station analysis on its rationality,
The false detection seismic event identification technology such as event correlation station type analysis rejects the false association thing for automatically processing generation
Part, to improve the associated accuracy of infrasonic sound-seismic events.It is the infrasonic sound-for driving seed that the present invention, which is realized with seismic events,
Seismic events correlating method can be not only used for infrasonic sound-earthquake association of earthquake event, it can also be used to time of ground burst event
Sound-earthquake association.It solves extensive infrasonic sound platform net monitoring infrasound signals and is associated with problem with the Auto-matching of global earthquakes event,
Auxiliary waveform analysis personnel's progress infrasound signals are quick, accurate correlation is analyzed;The present invention is also multiple waveforms monitoring means simultaneously
The beneficial trial of Conjoint Analysis seismic events.
Detailed description of the invention
Fig. 1 is that infrasound signals association flow chart is merged in acoustic shock of the invention.
Specific embodiment
To keep the purpose of the present invention, content and advantage clearer, below with reference to embodiment, to specific implementation of the invention
Mode is described in further detail.
The present invention provides the automatic correlation method of a kind of infrasound signals and seismic events, it is characterised in that: including following step
It is rapid:
If the seismic events that data processing system automatically generates S1, are carried out with infrasonic sound-earthquake association, carry out first automatic
Handle false event identification, the method for use include: event correlation station analysis on its rationality, event correlation station type analysis,
Event correlation signal analysis etc.;
If audit seismic events are carried out with infrasonic sound-earthquake association directly since step 2;
S2, it determines that the corresponding infrasound signals of specific seismic events can monitor epicentral distance mag_th: extracting specific earthquake first
Body wave magnitude mb, the local magnitude M_L of event choose maximum value MAX (mb, ML) therein as the station and screen earthquake magnitude m, determine
It is as follows with the relationship of m that the corresponding infrasound signals of specific seismic events can monitor epicentral distance mag_th (unit is radian):
According to the relationship of above-mentioned epicentral distance and m, determine that meeting earthquake magnitude-epicentral distance in infrasonic monitoring platform net has monitoring number
According to be associated with infrasonic sound station list 1;
S3, search and specific earthquake incident distance to be associated are less than specific epicentral distance threshold from history infrasonic sound event database
The reference event of value determines that once the associated infrasonic sound station, formation can be associated with infrasonic sound station list 2 to this area's history time sound events,
Synthesis can be associated with infrasonic sound station list 1 with can be associated with infrasonic sound station list 2, form infrasonic sound station inventory to be associated;Specific earthquake centre
It is preset according to demand away from threshold value, such as 100km;
S4, due to seismic events position to be associated it is known that for each infrasonic sound station to be associated, calculate separately its with to
Epicentral distance dist between correlating eventi,j, the azimuth az of the station to seismic eventsi,j;Wherein i is event serial number to be associated, and j is
Infrasonic sound station serial number to be associated;
Utilize disti,jCalculate the signal frequency upper limit, when the signal theory under different equivalent sonic conditions is walked and selection is walked
When error:
f maxi,j=4-0.055*disti,j (2)
t1i,j=111.1949*disti,j/vh (3)
t2i,j=111.1949*disti,j/vm (4)
t3i,j=111.1949*disti,j/vl (5)
Wherein vh、vm、vlRespectively indicate the upper limit, average value and the lower limit of velocity equivalent;delt_time,dealt_time1,
Dealt_time2 is respectively that infrasound signals walking time error threshold value, the low error coefficient of walking time error identification and walking time error identification are high
Error coefficient;Dealt_time1, dealt_time2 can be preset according to demand;
S5, association infrasonic sound station aspect angle error: as infrasonic sound station epicentral distance disti,jGreater than preset base
When quasi- epicentral distance, amplify azimuth angle reference error:
dealt_azi,j'=dealt_azi,j*dealt_az_times (7)
Wherein dealt_azi,j' it is amplified azimuth angle reference error, dealt_azi,jFor azimuth angle reference error,
Dealt_az is azimuth angle reference error, and dealt_az_times is the amplification factor of benchmark error;Consider infrasound signals long distance
It is influenced from transmission by atmosphere, presets certain benchmark epicentral distance, the benchmark as setting azimuth angle error;
Otherwise, without being enlarged;
S6, the retrieval beginning and ending time t_start for determining infrasound signalsi,jAnd t_endi,j;
Initial time is retrieved for infrasound signals, if t1i,j-0.5*dealt_timei,j> 0:
t_starti,j=t1i,j+toridi-0.5*dealt_timei,j (8)
Otherwise:
t_starti,j=toridi (9)
Infrasound signals retrieve the end time are as follows:
t_endi,j=toridi+t3i,j*dealt_timei,j (10)
Wherein toridiFor Time To Event.
S7, the P phase and S phase signals for determining infrasonic sound station record, signal search beginning and ending time are respectively as follows:
tmin_pi,j=disti,j·pslow_min-ptime_delta+toridi (11)
tmax_pi,j=disti,j·pslow_max+ptime_delta+toridi (12)
tmin_Si,j=disti,j·Sslow_min+Stime_delta+toridi (13)
tmax_Si,j=disti,j·Sslow_max+Stime_delta+toridi (14)
Wherein, pslow_min is P phase signals slowness minimum value, pslow_max is P phase signals slowness maximum value, ptime_
Delta is P phase signals walking time error limit value, Sslow_min is S phase signals slowness minimum value, Sslow_max is that S phase signals are slow
Spend maximum value, Stime_delta is S phase signals walking time error limit value;
S8, the infrasound signals search time section according to above-mentioned formula determination, signal frequency range, to each infrasonic sound station
Azimuth [azi,j-dealt_azi,j′,azi,j+dealt_azi,j'] the detection infrasound signals in range scan for, find out symbol
The infrasound signals of conjunction condition are associated with as the infrasound signals induced by seismic events, and with seismic events, are formed acoustic shock joint and are closed
Connection event, acoustic shock fusion infrasound signals association process can refer to Fig. 1.
S9, using associated earthquake and infrasound signals to seismic events into analyzing again in detail, improve event analysis accuracy;
S10, it can will be excluded in infrasonic monitoring data sequence source signal by the infrasound signals that seismic events induce, reduce letter
Number erroneous judgement risk.
The present invention retrieves matching associated infrasound signals using seismic events as seed driving source.Due to computer
System detects seismic events automatically, and there may be more false events, if therefore when automatically processing event as kind of subevent,
False event screening identification is carried out to it first, the associated efficiency of acoustic shock on the one hand can be improved, reduce infrasound signals and falseness
The unnecessary association of seismic events;On the other hand it can prevent effective infrasound signals from " being accounted for due to false earthquake event correlation
Have ", cause it that cannot be associated with real event source.
For any one earthquake kind to be associated subevent, first choice, which needs to differentiate, determines infrasonic sound station inventory to be associated;It is first
First according to the intensity of seismic events, judge infrasound signals monitors epicentral distance, and event within the scope of epicentral distance can be monitored by finding out
The infrasonic sound station that front and back there are monitoring data occurs, forms inventory to be associated.The relationship that seismic events earthquake magnitude-can monitor epicentral distance can
It is statisticallyd analyze and is obtained according to historical events.Furthermore it is possible to the infrasound signals with reference to event region historical events are associated with situation,
Such as historical events within the scope of the radius 100km of event epicenter periphery, the associated infrasonic sound station of historical events is added to be associated clear
Dan Zhong.
According to the real information of event in secondary acoustic reference event (IRED), the equivalent velocity of sound of infrasound signals overland propagation is determined
Valid interval, minimum value, average value, maximum value including the equivalent velocity of sound can avoid infrasound signals by using the equivalent velocity of sound
Complicated refraction and reflection process in communication process simplify estimation process when infrasound signals are walked.In addition, according to history reference event
Detection and analysis result, the relative positional relationship of the infrasonic sound station and event of infrasound signals, determine infrasound signals frequency content with biography
The approximate attenuation relation of defeated distance, to avoid the unreasonable association of infrasound signals, such as remote event correlation high frequency infrasonic sound is believed
Number.
Then for the infrasonic sound station in inventory to be associated, the orientation, distance between event are all it has been determined that can root
According to seismic wave P wave, S wave transmission speed section in the earth's crust, the velocity equivalent section of I phase infrasound signals can determine three that earthquake generates
The section when signal of kind sound phase (IPx, ISx, I) is walked.In conjunction with given signal walking time error and azimuth angle error, from infrasound signals
Search matches qualified infrasound signals in testing result, and it is associated with earthquake kind subevent, to be formed
Correlating event is merged in infrasonic sound-earthquake.
The infrasonic sound station includes but is not limited to the built international monitoring system infrasonic sound platform of Comprehensive Nuclear Test-Ban Treaty Organization
It stands, refers to all kinds of installation micromanometers, micro-microphone etc. for recording the monitoring station of atmospheric pressure disturbance;The seismograph station
Including but not limited to international monitoring system seismograph station refers to all kinds of installation displacement meters, speedometer and accelerometer and for surveying
The monitoring station of amount ground motion conditions;Earthquake kind subevent refers to the seismic events for being associated with and being formed by seismic network;It is described
The event of automatically processing refer to by computer system through signal detection, signature analysis, platform gateway connection and etc. the earthquake automatically generated
Event;The magnitude is to characterize the measurement, including Near Shock Magnitude, surface wave magnitude, body wave magnitude etc. of earthquake power;The shake
In away from referring to the distance of seismograph station or the infrasonic sound station to earthquake epicenter;The infrasonic sound P wave sound mutually refers to infrasonic sound station record
Infrasound signals with seismic wave P wave characteristic;The S wave sound mutually refer to infrasonic sound station record with seismic wave S wave characteristic
Infrasound signals;The I wave sound mutually refers to the infrasound signals with acoustic characteristic of infrasonic sound station record.It is characterized in that
The epicentral distance that monitors refers within the scope of a certain earthquake magnitude, can monitor the maximum distance of infrasound signals;
The infrasound signals azimuth angle error refers to the azimuth characteristic parameter and the infrasonic sound station to thing of detection infrasound signals
The deviation of part earthquake centre angle;
The secondary acoustic reference event refers to confirmed and true history time sound events, including event information and associated station
Information etc.;
The false event recognition methods refers to the method for automatically processing generated accidentally correlating event for identification, including
But it is not limited to document " automatic detection seismic events STUDY ON SCREENING " (seismomagnetic observation and research, volume 34 of in August, 2013
3/4 phase) listed by method;
The epicentral distance frequency relation refers to the specific symbol between the centre frequency and station epicentral distance of detection infrasound signals
Conjunction relationship;
The equivalent velocity of sound, which refers to, assumes the infrasound signals speed that cambered surface is transmitted at the earth's surface;
It is described be associated with infrasonic sound station inventory and refer to may all monitor earthquake infrasound signals and in event time period
There is the infrasonic sound station list of data;
Embodiment:
Using infrasonic sound-seismic events correlating method of above-mentioned foundation, test is carried out to 7.6 grades of earthquakes of the Philippines and is said
Bright, table 1 is that event International Data Center (IDC) waveform expert audits infrasound signals associated by bulletin, this result can be used as judgement
A kind of one of the judgment criteria of earthquake infrasonic sound correlating method efficiency based on earthquake kind subevent of the present invention.Prohibited using comprehensive
Only nuclear test International Data Center (IDC) of treaty organization carries out acoustic shock association analysis, association results such as table based on automatically processing event
Shown in 2, the method for the invention is correctly associated with tri- kinds of signals of P, S, I, and the associated station includes I39PW, I30JP, I45RU,
Due to epicentral distance range setting in algorithm, fail to be associated with the I59US station compared with REB.
1 International Data Center (IDC) of table audits the associated infrasound signals of bulletin
Table 2 is based on Philippine's seismic events infrasound signals auto-associating result of the invention
It can be seen that in conjunction with table 1 and table 2, can relatively accurately carry out infrasonic sound-seismic events using the present invention and be associated with, matching
All suspicious infrasound signals are associated with out, after automatically processing modified result, can be obtained accurate event result.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations
Also it should be regarded as protection scope of the present invention.
Claims (7)
1. the automatic correlation method of a kind of infrasound signals and seismic events, it is characterised in that: the following steps are included:
S1, it determines that the corresponding infrasound signals of seismic events to be associated can monitor epicentral distance mag_th: extracting earthquake to be associated first
Body wave magnitude mb, the local magnitude M_L of event choose maximum value m therein as the station and screen earthquake magnitude, determine earthquake to be associated
The relationship that the corresponding infrasound signals of event can monitor epicentral distance mag_th and m is as follows:
According to above-mentioned relation, determine that meeting earthquake magnitude-epicentral distance in infrasonic monitoring platform net is associated with infrasonic sound with monitoring data
Station list 1;
S2, the reference for being less than specific epicentral distance threshold value with seismic events distance to be associated is searched for from history infrasonic sound event database
Event determines that once the associated infrasonic sound station, formation can be associated with infrasonic sound station list 2 to this area's history time sound events, and synthesis can close
Connection infrasonic sound station list 1 with can be associated with infrasonic sound station list 2, form infrasonic sound station inventory to be associated;
S3, for each infrasonic sound station to be associated, calculate separately its epicentral distance dist between seismic events to be associatedi,j, platform
It stands to the azimuth az of seismic eventsi,j;Wherein i is seismic events serial number to be associated, and j is infrasonic sound station serial number to be associated;
Utilize epicentral distance disti,jCalculate signal frequency upper limit f maxi,j, the signal theory under different equivalent sonic conditions is when walking,
Choose walking time error delt_timei,j;
fmaxi,j=4-0.055*disti,j
t1i,j=111.1949*disti,j/vh
t2i,j=111.1949*disti,j/vm
t3i,j=111.1949*disti,j/vl
Wherein vh、vm、vlRespectively indicate the upper limit, average value and the lower limit of the equivalent velocity of sound;Dealt_time1, dealt_time2 points
It Wei not the low error coefficient of infrasound signals walking time error identification and the high error coefficient of walking time error identification;dealt_time1,dealt_
Time2 is preset according to demand;
S4, association infrasonic sound station aspect angle error;
S5, the retrieval beginning and ending time t_start that infrasound signals are determined according to earthquake Time To Eventi,jAnd t_endi,j;
Initial time is retrieved for infrasound signals, if t1i,j-0.5*dealt_timei,j> 0:
t_starti,j=t1i,j+toridi-0.5*dealt_timei,j
Otherwise:
t_starti,j=toridi
Infrasound signals retrieve the end time are as follows:
t_endi,j=toridi+t3i,j*dealt_timei,j
Wherein toridiFor seismic events time of origin;
S6, the P phase and S phase signals for determining infrasonic sound station record obtain its infrasound signals search beginning and ending time:
tmin_pi,j=disti,j·pslow_min-ptime_delta+toridi
tmax_pi,j=disti,j·pslow_max+ptime_delta+toridi
tmin_Si,j=disti,j·Sslow_min+Stime_delta+toridi
tmax_Si,j=disti,j·Sslow_max+Stime_delta+toridi
Wherein, pslow_min is P phase signals slowness minimum value, pslow_max is P phase signals slowness maximum value, ptime_
Delta is P phase signals walking time error limit value, Sslow_min is S phase signals slowness minimum value, Sslow_max is that S phase signals are slow
Spend maximum value, Stime_delta is S phase signals walking time error limit value;
S7, the infrasound signals in the azimuth coverage of each infrasonic sound station are scanned for, finds out qualified infrasound signals and makees
It for the infrasound signals induced by seismic events, and is associated with seismic events, forms acoustic shock and combine correlating event.
2. the automatic correlation method of a kind of infrasound signals and seismic events according to claim 1, it is characterised in that: if right
The seismic events that data processing system automatically generates carry out infrasonic sound-earthquake association, then carry out automatically processing false event knowledge first
S1 is not entered step afterwards;If carrying out infrasonic sound-earthquake to audit seismic events to be associated with, it is directly entered step S1.
3. the automatic correlation method of a kind of infrasound signals and seismic events according to claim 1, it is characterised in that: S2
In, specific epicentral distance threshold value is preset according to demand.
4. the automatic correlation method of a kind of infrasound signals and seismic events according to claim 1, it is characterised in that: S4
In, as infrasonic sound station epicentral distance disti,jWhen greater than preset benchmark epicentral distance, amplify azimuth angle reference error, otherwise,
Without being enlarged;
dealt_azi,j'=dealt_azi,j*dealt_az_times
Wherein dealt_azi,j' it is amplified azimuth angle reference error, dealt_azi,jFor azimuth angle reference error, dealt_
Az_times is the amplification factor of benchmark error;Consider that infrasound signals are transmitted at a distance is influenced by atmosphere, presets one
Determine benchmark epicentral distance, the benchmark as setting azimuth angle error.
5. the automatic correlation method of a kind of infrasound signals and seismic events according to claim 4, it is characterised in that: each time
The azimuth coverage of the sound station is [azi,j-dealt_azi,j′,azi,j+dealt_azi,j′]。
6. the automatic correlation method of described in any item a kind of infrasound signals and seismic events according to claim 1~5, feature
It is: using associated earthquake and infrasound signals seismic events progress is analyzed again in detail, improve event analysis accuracy.
7. the automatic correlation method of described in any item a kind of infrasound signals and seismic events according to claim 1~5, feature
It is: can will be excluded in infrasonic monitoring data sequence source signal by the infrasound signals that seismic events induce, reduce signal erroneous judgement
Risk.
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CN109633548B (en) * | 2018-12-10 | 2023-03-24 | 禁核试北京国家数据中心 | Gateway connection method for underwater sound platform |
CN109669185B (en) * | 2018-12-10 | 2023-03-24 | 禁核试北京国家数据中心 | Infrasound table network directional search correlation method |
CN111208556B (en) * | 2020-01-14 | 2022-04-26 | 禁核试北京国家数据中心 | Method for estimating time-in interval of monitoring signals of underwater acoustic station |
CN113607268B (en) * | 2021-01-26 | 2024-01-09 | 禁核试北京国家数据中心 | Regional infrasound event automatic association method |
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1996018119A1 (en) * | 1994-12-06 | 1996-06-13 | Farnsworth David F | Method for forecasting an earthquake from precusor signals |
CN105572738A (en) * | 2016-01-29 | 2016-05-11 | 禁核试北京国家数据中心 | Method for detecting nuclear explosion earthquake event at specific area by means of single station |
CN105716707A (en) * | 2015-12-10 | 2016-06-29 | 中国航空工业集团公司北京长城计量测试技术研究所 | Ultra-low-frequency abnormal infrasound signal judging method |
CN106382981A (en) * | 2016-08-26 | 2017-02-08 | 中国地震局地壳应力研究所 | Single station infrasonic wave signal recognition and extraction method |
-
2017
- 2017-06-29 CN CN201710513724.XA patent/CN107272061B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1996018119A1 (en) * | 1994-12-06 | 1996-06-13 | Farnsworth David F | Method for forecasting an earthquake from precusor signals |
CN105716707A (en) * | 2015-12-10 | 2016-06-29 | 中国航空工业集团公司北京长城计量测试技术研究所 | Ultra-low-frequency abnormal infrasound signal judging method |
CN105572738A (en) * | 2016-01-29 | 2016-05-11 | 禁核试北京国家数据中心 | Method for detecting nuclear explosion earthquake event at specific area by means of single station |
CN106382981A (en) * | 2016-08-26 | 2017-02-08 | 中国地震局地壳应力研究所 | Single station infrasonic wave signal recognition and extraction method |
Non-Patent Citations (1)
Title |
---|
互相关算法在次声监测数据处理中的应用;唐伟 等;《环境工程》;20101231;第28卷(第6期);第83-86、88页 |
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