CN104459827A - Method for evaluating performance of high-power electromagnetic transmitter - Google Patents

Method for evaluating performance of high-power electromagnetic transmitter Download PDF

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Publication number
CN104459827A
CN104459827A CN201410653516.6A CN201410653516A CN104459827A CN 104459827 A CN104459827 A CN 104459827A CN 201410653516 A CN201410653516 A CN 201410653516A CN 104459827 A CN104459827 A CN 104459827A
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China
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performance parameter
frequency
data
large power
transmitter
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CN201410653516.6A
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Inventor
张一鸣
任喜国
韩磊
陶海军
王旭红
史志富
朱学政
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Beijing University of Technology
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Beijing University of Technology
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Abstract

The invention discloses a method for evaluating the performance of a high-power electromagnetic transmitter. The method includes the following steps that real-time sampling is conducted on the performance parameter corresponding to each transmitting frequency point of the high-power electromagnetic transmitter; the performance parameter data corresponding to each transmitting frequency point are extracted to generate a corresponding data table and display the data table; the expectation, the standard deviation and the variation trend of the performance parameter data of each transmitting frequency point in the data table are calculated; the expectation, the standard deviation and the variation trend obtained through calculation are used for drawing a performance parameter distribution curve of the high-power electromagnetic transmitter and storing the performance parameter data of the high-power electromagnetic transmitter. By the adoption of the method, the stability and the transmitting frequency distribution of the transmitting frequency points can be analyzed quickly and effectively when the high-power electromagnetic transmitter works; the transmitting effects, advantages and disadvantages of various high-power electromagnetic transmitters can be tested directly, a certain guiding function is achieved on the aspects of data receiving and data processing of a receiver, and thus it is of certain guiding significance to optimizing the high-power electromagnetic transmitter.

Description

A kind of great-power electromagnetic transmitter performance assessment method
Technical field
The present invention relates to great-power electromagnetic transmitter performance assessment method, belong to technical field of geological exploration.
Background technology
At present, energy contention is the permanent topic of international competition, and energy resource survey is the basis of Energy Competition.Energy resource survey not only affects the development of current economic, is also the basis that country formulates development plan, governs the sustainable development of national economy.It is highly difficult that the exploitation of existing mineral resources and exploration make exploration have with the complicacy of geologic condition.
Metallic ore has good electric conductivity usually, and therefore electromagnetic method finds the most effective geophysical survey means of metallic ore.Electromagnetic method is by obtaining earth medium to the response injecting electromagnetic field, building the distributed intelligence of underground medium conductivity.
Phoenix company of Canada is proposed V4, V6, V8 Electro-magnetic Launcher System so far from the eighties in last century, and wherein the peak power of V8 transmitter reaches 20kW, range of current 0.5A-40A; And the power bracket of Electro-magnetic Launcher System GDP12, GDP16, GDP32 that Zonge company of the U.S. releases is from 3KW-30KW, output voltage 50V-1000V.In recent years, Ministry of Land and Resources's deep Detection Techniques of being carried out by Ministry of Land and Resources and experimental study special project (Sinoprobe) " surface em detects (SEP) system development " project, the SEP transmitter of team's research and development is taught by Beijing University of Technology Zhang Yiming, study mainly for surface em detection system mesohigh high-power transmitter technology, the great-power electromagnetic transmitter techniques being used for electromagnetic prospecting for China provides theory support and technical guarantee.But be no matter the V8 electromagnetics transmitter of the production of external phoenix company, the GDP32 electromagnetics transmitter released of Zonge company of the U.S., or the SEP large power, electrically magnetic transmitter that our country develops voluntarily, the evaluation method of the inspection large power, electrically magnetic transmitter launching effect that equal neither one relatively perfects.
In electromagnetic method, because transmission frequency has significant impact to receiver reception and subsequent analysis, therefore the stability of actual transmission frequency and distribution situation are extremely important evaluation factors to transmitter launching effect.
Summary of the invention
The technical problem to be solved in the present invention is: the performance of evaluation large power, electrically magnetic transmitter.
For realizing above-mentioned goal of the invention, the invention provides a kind of great-power electromagnetic transmitter performance assessment method, comprising the steps:
Real-time sampling is carried out to the corresponding performance parameter of each transmitting frequency of large power, electrically magnetic transmitter;
Extract the performance parameter data that each transmitting frequency is corresponding, generate corresponding tables of data and show;
Calculate the expectation of the performance parameter data of each transmitting frequency in tables of data, standard deviation, variation tendency;
The expectation calculated, standard deviation, variation tendency are drawn out great-power electromagnetic transmitter performance parameter profile and preserved great-power electromagnetic transmitter performance supplemental characteristic.
Wherein more preferably, the step that the corresponding performance parameter of described each transmitting frequency to large power, electrically magnetic transmitter carries out real-time sampling specifically comprises:
To the performance parameter signal condition that large power, electrically magnetic transmitter exports;
Performance parameter data are obtained to the performance parameter signal sampling after conditioning;
The performance parameter data sampled are processed.
Wherein more preferably, the described step to the performance parameter signal condition that large power, electrically magnetic transmitter exports specifically comprises:
Process is followed to the performance parameter signal that large power, electrically magnetic transmitter exports;
Process is amplified to the performance parameter signal after following;
To the performance parameter signal filtering process of amplifying after process;
Level conversion process is done to the performance parameter signal after filtering process.
Wherein more preferably, the step of the described performance parameter data processing to sampling specifically comprises:
Actual transmission frequency when large power, electrically magnetic transmitter is launched is measured by time difference method;
Tested frequency signal and reference frequency signal produce phase place/mistiming by frequency divider;
By calculating the fluctuating of frequency difference and frequency difference to phase place/mistiming.
Wherein more preferably, performance parameter is answered to comprise described in: output voltage, output current and actual transmission frequency.
Wherein more preferably, the distribution curve of described actual transmission frequency draws by the actual transmission frequency probability that standard deviation is larger.
Wherein more preferably, the distribution curve of described output voltage, output current is that matching obtains.
Wherein more preferably, the corresponding performance parameter of described each transmitting frequency is Real-time Collection.
Wherein more preferably, answer the data of performance parameter by Labview process described in and display.
Wherein more preferably, the expectation of performance parameter, standard deviation, variation tendency is answered to be calculated by MATLAB described in.
Great-power electromagnetic transmitter performance assessment method provided by the invention, can analyze large power, electrically magnetic transmitter operationally fast and effectively, launches stability and the transmission frequency distribution thereof of frequency.Energy Direct Test of the present invention goes out launching effect, the relative merits of various large power, electrically magnetic transmitter, for receiver is receiving data, providing certain guidance effect in its data processing, has certain directive significance to the optimization of later large power, electrically magnetic transmitter.
Accompanying drawing explanation
Fig. 1 is great-power electromagnetic transmitter performance assessment method schematic flow sheet of the present invention;
Fig. 2 is data acquisition signal schematic flow sheet of the present invention;
Fig. 3 is signal condition schematic flow sheet of the present invention;
Data conversion flow diagram when Fig. 4 is data acquisition of the present invention;
Fig. 5 is data acquisition system (DAS) structural representation of the present invention;
Fig. 6 is DSP time difference method measuring frequency principle diagram of the present invention;
Fig. 7 is host computer data processing schematic diagram of the present invention;
Fig. 8 is sampling data table of the present invention;
Fig. 9 is host computer display interface schematic diagram of the present invention;
Figure 10 is the standard deviation schematic diagram of host computer actual transmission frequency of the present invention;
Figure 11 is large power, electrically magnetic transmitter transmission frequency of the present invention actual transmission frequency distribution schematic diagram when being set as 9600Hz;
Figure 12 is large power, electrically magnetic transmitter transmission frequency of the present invention actual transmission frequency distribution schematic diagram when being set as 7680Hz;
Figure 13 is large power, electrically magnetic transmitter transmission frequency of the present invention actual transmission frequency distribution schematic diagram when being set as 5120Hz;
Figure 14 is large power, electrically magnetic transmitter transmission frequency of the present invention actual transmission frequency distribution schematic diagram when being set as 3840Hz.
Embodiment
Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described in further detail.Following examples for illustration of the present invention, but are not used for limiting the scope of the invention.
As shown in Figure 1, the invention provides a kind of great-power electromagnetic transmitter performance assessment method, comprise the steps: to carry out real-time sampling to the corresponding performance parameter of each transmitting frequency of large power, electrically magnetic transmitter; Extract the performance parameter data that each transmitting frequency is corresponding, generate corresponding tables of data and show; Calculate the expectation of the performance parameter data of each transmitting frequency in tables of data, standard deviation, variation tendency; The expectation calculated, standard deviation, variation tendency are drawn out great-power electromagnetic transmitter performance parameter profile and preserved great-power electromagnetic transmitter performance supplemental characteristic.Detailed description is launched to the great-power electromagnetic transmitter performance assessment method that the present invention also provides below.
First, the step of the corresponding performance parameter of each transmitting frequency of large power, electrically magnetic transmitter being carried out to real-time sampling is introduced.
In one embodiment of the invention, as shown in Figure 2, the step that the corresponding performance parameter of each transmitting frequency of large power, electrically magnetic transmitter carries out real-time sampling is specifically comprised: the performance parameter signal condition that large power, electrically magnetic transmitter is exported; Performance parameter data are obtained to the performance parameter signal sampling after conditioning; To the performance parameter data processing sampled.Sampled data after process is uploaded in host computer.The performance parameter that large power, electrically magnetic transmitter exports particularly comprises: output voltage, output current and actual transmission frequency.
In the present invention, as shown in Figure 3, the step of the performance parameter signal condition that large power, electrically magnetic transmitter exports is further comprised: process is followed to the performance parameter signal that large power, electrically magnetic transmitter exports; Process is amplified to the performance parameter signal after following; To the performance parameter signal filtering process of amplifying after process; Level conversion process is done to the performance parameter signal after filtering process.As shown in Figure 3, particularly, by the performance parameter signal output part connection signal input end of large power, electrically magnetic transmitter, when being launched by large power, electrically magnetic transmitter, actual performance parameter signal is by signal follow circuit and amplifying circuit, improve precision and the accuracy of frequency collection, error signal is removed; By low-pass filter circuit, the frequency signal needed for actual samples is extracted again, some unwanted signals of filtering; Again through level shifting circuit, convert the performance parameter signal that large power, electrically magnetic transmitter exports to corresponding level with applicable sampling processing.By the performance parameter Signal transmissions after level conversion process to being sent in sample circuit.
In the present invention, as shown in Figure 4, the voltage that exported by large power, electrically magnetic transmitter of AD sampling unit and output current carry out real-time sampling tracking.AD sampling unit preferably adopts AD7606 chip; this built-in chip type analog input clamper protection, second order frequency overlapped-resistable filter, tracking hold amplifier, 16 ADC and high speed serialization and parallel interface, all passages all can be sampled with the throughput rate up to 200KSPS.
In the present invention, as shown in Figure 5, the carrying out that the frequency signal that gets of sampling is sent to DSP processes by AD sample circuit, calculates final sample frequency by DSP, sends host computer to.The real-time sampling that actual transmission frequency, output voltage and output current when DSP launches large power, electrically magnetic transmitter carry out, uploads to host computer through the conditioning of signal and the process of DSP by the data-signal collected.DSP preferably adopts TMS320F28335DSP chip.As shown in Figure 6, DSP measures actual transmission frequency when large power, electrically magnetic transmitter is launched by time difference method, and tested frequency signal and reference frequency signal produce phase place/mistiming by frequency divider, by calculating the fluctuating of frequency difference and frequency difference to phase place/mistiming.The method has very large dirigibility in data processing and frequency measurement, is easy to control and can obtains actual transmission frequency fast and accurately.
Secondly, introduce and extract performance parameter data corresponding to each transmitting frequency, generate corresponding tables of data and the step of display.
As shown in Figure 7, host computer receives output performance parameter (output voltage, output current and the actual transmission frequency) data of each transmitting frequency real time emission of DSP transmission, generates corresponding tables of data, and is stored in corresponding tables of data.Such as can be stored in excel table, as shown in Figure 8, what from left to right record in table is the peak-to-peak value of sampled voltage respectively, the frequency values of transmitting and the peak value of sample rate current, the leftmost side each number corresponding one-period.As shown in Figure 9, host computer can adopt Labview software to show sampled data in real time, actual transmission frequency oscillogram is generated in display interface, directly observe the actual transmission frequency of large power, electrically magnetic transmitter under this frequency, and generate the tables of data of actual transmission frequency, output voltage, output current, peak-to-peak value, the peak-to-peak value of transmitter current and the change of actual transmission frequency of the emitting voltage that real-time display sampling obtains.Should be appreciated that the present invention is not limited only to this, other instruments similar to Labview software function still can realize the present invention.Such as, that programmes by C# or C language can realize for host computer show tools.
Again, the step of the expectation of the performance parameter data calculating each transmitting frequency in tables of data, standard deviation, variation tendency is introduced.
Host computer prepares to process by the data importing of the actual transmission frequency of each transmitting frequency, output voltage, output current to MATLAB software; MATLAB software is utilized to calculate the expectation of the frequency of each transmitting frequency, standard deviation, variation tendency etc.Certainly can understand, be not limited only to this, to the expectation of the frequency of each transmitting frequency, standard deviation, the software that other and MATLAB software can be adopted to have same function when variation tendency etc. calculate also can realize.Concrete calculation processes is as follows:
If each transmitting frequency is sampled, the frequency obtained has n, uses x respectively 1, x 2... x nrepresent, its expression formula expected is such as formula shown in (1):
x ‾ = E ( x ) = x 1 + x 2 + . . . + x n n - - - ( 1 )
Variance is used to measure the departure degree between its mathematical expectation of random sum (i.e. average), and its mathematic(al) representation is such as formula shown in (2):
D ( X ) = s 2 = ( x 1 - x ‾ ) 2 + ( x 2 - x ‾ ) 2 + . . . + ( x n - x ‾ ) 2 n - - - ( 2 )
And when using during estimation as the variance of sample X, find that its mathematical expectation is not the variance of X, but (the n-1)/n of X variance doubly.And the mathematical expectation of D (X) is only the variance of X, variance D (X) is such as formula shown in (3) comparatively accurately:
D ( X ) = s 2 = ( x 1 - x ‾ ) 2 + ( x 2 - x ‾ ) 2 + . . . + ( x n - x ‾ ) 2 n - 1 - - - ( 3 )
The estimation that D (X) uses it as the variance of X has " unbiasedness ", so we always use estimate the variance of X, when sample size is identical, variance is larger, illustrates that the fluctuation of data is larger, more unstable.
After asking variance, obtaining its standard deviation further, shown in (4):
σX = D ( X ) - - - ( 4 )
Same standard deviation is larger, illustrates that the fluctuation of large power, electrically magnetic transmitter transmitting data is larger, more unstable.
The frequency occurred for actual transmission under setpoint frequency in addition uses a respectively 1, a 2a nrepresent, the frequency b that corresponding frequency occurs 1, b 2b nrepresent, the probability c of appearance 1, c 2c nrepresent, then the probability that actual transmission frequency occurs under setpoint frequency is such as formula shown in (5):
c n = b n Σ 1 n b k , ( n = 1,2 , . . . m ) - - - ( 5 )
Wherein, c nrepresent the probability that each frequency occurs, b nrepresent the frequency that frequency occurs, b krepresent the frequency of each frequency.
In like manner, the large power, electrically magnetic transmitter transmitting output voltage for sampling can adopt same disposal route to analyze data with output current.
Finally, introduce the expectation calculated, standard deviation, variation tendency are drawn out great-power electromagnetic transmitter performance parameter profile and preserved the step of great-power electromagnetic transmitter performance supplemental characteristic.
For the transmitting frequency that standard deviation is larger, draw the probability distribution curve of its actual transmission frequency, obtain the frequency curve of its actual transmission, and method clearly can obtain the distribution of large power, electrically magnetic transmitter frequency accordingly; Data fitting is carried out to the output voltage after MATLAB process and output current, draws out the matched curve of output voltage and output current, obtain the output resistance under this frequency according to this curve.
According to above-mentioned, analyze the standard difference Butut obtaining large power, electrically magnetic transmitter actual transmission frequency, as shown in Figure 10.As seen from Figure 10, large power, electrically magnetic transmitter is its standard deviation very little (lower than 0.01) when launching low frequency, illustrate that it is when low-frequency high-power is launched, more stable, arrive its standard deviation of high frequency stage close to 0.5, proved that its fluctuation when high frequency of large power, electrically magnetic transmitter is relatively large.And different large power, electrically magnetic transmitter standard deviation at different frequencies is also not quite similar and can be easy to find out its launching effect.
For the transmission frequency that standard deviation is larger, the present invention adopts the distribution of least square method to its actual transmission frequency to carry out curve fitting, and obtains the actual transmission frequency of large power, electrically magnetic transmitter and the probability distribution curve of theoretical emission frequency.As illustrated in figs. 11-14.Figure 11 is actual transmission frequency distribution when being set as 9600Hz of large power, electrically magnetic transmitter transmission frequency; Figure 12 is actual transmission frequency distribution when being set as 7680Hz of large power, electrically magnetic transmitter transmission frequency; Figure 13 is actual transmission frequency distribution when being set as 5120Hz of large power, electrically magnetic transmitter transmission frequency; Figure 14 is actual transmission frequency distribution when being set as 3840Hz of large power, electrically magnetic transmitter transmission frequency.As can be seen from Figure 11-14, the distribution of transmission frequency during actual transmission.When transmission frequency is larger, the deviation of actual transmission frequency is larger, and actual transmission frequency is more not accurate, and stability is poorer, and it is larger on the impact of receiver.Launching effect clearly can be found out from probability distribution graph, and the distribution of different large power, electrically magnetic transmitter under same frequency open-and-shutly can find out the upper lower limit value of its transmission frequency and the effect of transmitting.The difference of the upper lower limit value of actual transmission is less, and the probability of setpoint frequency is larger, and the launching effect of large power, electrically magnetic transmitter is better.Owing to being less than 3000Hz when frequency, the standard deviation of each large power, electrically magnetic transmitter radio frequency rate is relatively little, and now transmission frequency changes hardly, here just not at the distribution plan drawing their actual transmission frequencies one by one.According to these curves, the distribution of actual transmission frequency can be obtained, clearly can find out the launching effect of large power, electrically magnetic transmitter thus, provide foundation for later receiver carries out data analysis.It should be noted that at this, data fitting is carried out to the output voltage after MATLAB process and output current, draw out output voltage identical with said method with the mode of the matched curve of output current, just repeated no longer one by one at this.
Utilize the data that above-mentioned analysis obtains, obtain the sampled data analytical table (as shown in table 2) of each frequency of large power, electrically magnetic transmitter, and great-power electromagnetic transmitter performance parameter is kept in corresponding data table, in this, as a kind of assessment method of large power, electrically magnetic transmitter launching effect, there is provided a reference for later receiver receives data simultaneously, thus the launching effect of checking large power, electrically magnetic transmitter.
Each frequency sampled data analytical table that table 2 large power, electrically magnetic transmitter is launched
In sum, the present invention proposes a kind of assessment method of the emitting performance parameter for large power, electrically magnetic transmitter, large power, electrically magnetic transmitter can be analyzed fast and effectively operationally, launch stability and the transmission frequency distribution thereof of frequency.Energy Direct Test of the present invention goes out launching effect, the relative merits of various large power, electrically magnetic transmitter, for receiver is receiving data, providing certain guidance effect in its data processing, has certain directive significance to the optimization of later large power, electrically magnetic transmitter.
Above embodiment is only for illustration of the present invention; and be not limitation of the present invention; the those of ordinary skill of relevant technical field; without departing from the spirit and scope of the present invention; can also make a variety of changes and modification; therefore all equivalent technical schemes also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.

Claims (10)

1. a great-power electromagnetic transmitter performance assessment method, is characterized in that, comprises the steps:
Real-time sampling is carried out to the corresponding performance parameter of each transmitting frequency of large power, electrically magnetic transmitter;
Extract the performance parameter data that each transmitting frequency is corresponding, generate corresponding tables of data and show;
Calculate the expectation of the performance parameter data of each transmitting frequency in tables of data, standard deviation, variation tendency;
The expectation calculated, standard deviation, variation tendency are drawn out great-power electromagnetic transmitter performance parameter profile and preserved great-power electromagnetic transmitter performance supplemental characteristic.
2. the method for claim 1, is characterized in that, the step that the corresponding performance parameter of described each transmitting frequency to large power, electrically magnetic transmitter carries out real-time sampling specifically comprises:
To the performance parameter signal condition that large power, electrically magnetic transmitter exports;
Performance parameter data are obtained to the performance parameter signal sampling after conditioning;
The performance parameter data sampled are processed.
3. method as claimed in claim 2, is characterized in that, the described step to the performance parameter signal condition that large power, electrically magnetic transmitter exports specifically comprises:
Process is followed to the performance parameter signal that large power, electrically magnetic transmitter exports;
Process is amplified to the performance parameter signal after following;
To the performance parameter signal filtering process of amplifying after process;
Level conversion process is done to the performance parameter signal after filtering process.
4. method as claimed in claim 2, it is characterized in that, the step of the described performance parameter data processing to sampling specifically comprises:
Actual transmission frequency when large power, electrically magnetic transmitter is launched is measured by time difference method;
Tested frequency signal and reference frequency signal produce phase place/mistiming by frequency divider;
By calculating the fluctuating of frequency difference and frequency difference to phase place/mistiming.
5. the method for claim 1, is characterized in that, described in answer performance parameter to comprise: output voltage, output current and actual transmission frequency.
6. method as claimed in claim 5, is characterized in that, the distribution curve of described actual transmission frequency draws by the actual transmission frequency probability that standard deviation is larger.
7. method as claimed in claim 5, it is characterized in that, the distribution curve of described output voltage, output current is that matching obtains.
8. the method as described in claim 1-7 any one, is characterized in that, the corresponding performance parameter of described each transmitting frequency is Real-time Collection.
9. the method as described in claim 1-7 any one, is characterized in that, described in answer the data of performance parameter by Labview process and display.
10. the method as described in claim 1-7 any one, is characterized in that, described in answer the expectation of performance parameter, standard deviation, variation tendency to be calculated by MATLAB.
CN201410653516.6A 2014-11-17 2014-11-17 Method for evaluating performance of high-power electromagnetic transmitter Pending CN104459827A (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5345243A (en) * 1987-04-23 1994-09-06 The Ohio State University Research Foundation Continuous-wave reflection transmissometer with target discrimination using modulated targets
CN102096079A (en) * 2009-12-12 2011-06-15 杭州中科微电子有限公司 Method for constructing radio frequency front end of multi-mode multi-band satellite navigation receiver and module thereof
CN102253418B (en) * 2011-04-01 2013-05-01 中国地质大学(北京) Marine controlled-source electromagnetic transmission system and using method thereof
CN103957556A (en) * 2014-04-17 2014-07-30 京信通信系统(广州)有限公司 LTE signal detection method and system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5345243A (en) * 1987-04-23 1994-09-06 The Ohio State University Research Foundation Continuous-wave reflection transmissometer with target discrimination using modulated targets
CN102096079A (en) * 2009-12-12 2011-06-15 杭州中科微电子有限公司 Method for constructing radio frequency front end of multi-mode multi-band satellite navigation receiver and module thereof
CN102253418B (en) * 2011-04-01 2013-05-01 中国地质大学(北京) Marine controlled-source electromagnetic transmission system and using method thereof
CN103957556A (en) * 2014-04-17 2014-07-30 京信通信系统(广州)有限公司 LTE signal detection method and system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
底青云 等: "地面电磁探测系统(SEP)研究", 《地球物理学报》 *

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