A modified empirical mode decomposition method for multiperiod time-series detrending and the application in full-waveform induced polarization data | |
Liu, Weiqiang1; Lu, Qingtian1; Chen, Rujun2; Lin, Pinrong3; Chen, Chaojian2,4; Yang, Liangyong5; Cai, Hongzhu6,7 | |
刊名 | GEOPHYSICAL JOURNAL INTERNATIONAL |
2019-05-01 | |
卷号 | 217期号:2页码:1058-1079 |
关键词 | Electrical resistivity tomography (ERT) Fourier analysis Time-series analysis |
ISSN号 | 0956-540X |
DOI | 10.1093/gji/ggz067 |
英文摘要 | Trend drift is an annoying background interference in induced polarization (IP) exploration, which has great influence on the final calculation of apparent complex resistivity spectrum at low frequency (<0.1 Hz). This paper proposed a modified empirical mode decomposition (EMD) detrending technique for multiperiod IP data. The method uses local extreme values of the rising edges and the falling edges to form multiple envelopes and then to fit and eliminate the trend term. Through comparing with the traditional EMD methods using IP data with simulated trend drift, we find that the modified method can be used to obtain a more accurate fitting trend and the computational cost is only a fraction of that of the conventional one. Additionally, this detrending is little affected by other strong noise. We also used IP data with and without trend interferences to analyse this method, respectively. The results show that, for data without trend drift, the signals remain almost unchanged; however, for data with strong trend drift, the data quality is greatly improved and the calculation error is reduced. This technique is also applied to a large-scale multiperiod full-waveform IP data acquired in Zhegu Zn-Sb-Ag polymetallic deposit in southern Tibet, China. The apparent complex resistivity and phase of a survey line, a planar contour map and a pseudo-section with and without using the modified EMD were compared, respectively. Overall, before EMD detrending, the apparent phase results are rough and full of outliers. After detrending, the profiles are smooth and reasonable, and the outliers disappear. Both the results demonstrated that our proposed method can be adopted to effectively suppress trend drift interference without additional deviation in distributed full-waveform IP exploration. |
资助项目 | National Key R&D Program of China[2016YFC0600201] ; National Natural Science Foundation of China[41630320] ; China Geological Survey Project[DD20160082] ; China Geological Survey Project[DD20179611] ; China Scholarship Council Foundation[201806370223] |
WOS关键词 | SPECTRAL INDUCED POLARIZATION ; NOISE ATTENUATION ; DC-RESISTIVITY ; FREQUENCY ; CONDUCTIVITY ; PERMEABILITY ; TRANSFORM ; INVERSION ; SIGNALS ; SYSTEM |
WOS研究方向 | Geochemistry & Geophysics |
语种 | 英语 |
出版者 | OXFORD UNIV PRESS |
WOS记录号 | WOS:000465608000022 |
资助机构 | National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Geological Survey Project ; China Geological Survey Project ; China Scholarship Council Foundation ; China Scholarship Council Foundation ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Geological Survey Project ; China Geological Survey Project ; China Scholarship Council Foundation ; China Scholarship Council Foundation ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Geological Survey Project ; China Geological Survey Project ; China Scholarship Council Foundation ; China Scholarship Council Foundation ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Geological Survey Project ; China Geological Survey Project ; China Scholarship Council Foundation ; China Scholarship Council Foundation |
内容类型 | 期刊论文 |
源URL | [http://ir.iggcas.ac.cn/handle/132A11/92120] |
专题 | 中国科学院地质与地球物理研究所 |
通讯作者 | Liu, Weiqiang |
作者单位 | 1.CAGS, Inst Mineral Resources, MNR Key Lab Metallogeny & Mineral Assessment, Beijing 100037, Peoples R China 2.Cent S Univ, Sch Geosci & Infophys, Changsha 410083, Hunan, Peoples R China 3.Chinese Acad Geol Sci, Inst Geophys & Geochem Explorat, MLR Lab Geophys EM Probing Technol, Langfang 410083, Hebei, Peoples R China 4.Swiss Fed Inst Technol, Inst Geophys, Dept Earth Sci, CH-8092 Zurich, Switzerland 5.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China 6.Aarhus Univ, Dept Geosci, DK-8000 Aarhus C, Denmark 7.China Univ Geosci Wuhan, Inst Geophys & Geomat, Wuhan 430074, Hubei, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Weiqiang,Lu, Qingtian,Chen, Rujun,et al. A modified empirical mode decomposition method for multiperiod time-series detrending and the application in full-waveform induced polarization data[J]. GEOPHYSICAL JOURNAL INTERNATIONAL,2019,217(2):1058-1079. |
APA | Liu, Weiqiang.,Lu, Qingtian.,Chen, Rujun.,Lin, Pinrong.,Chen, Chaojian.,...&Cai, Hongzhu.(2019).A modified empirical mode decomposition method for multiperiod time-series detrending and the application in full-waveform induced polarization data.GEOPHYSICAL JOURNAL INTERNATIONAL,217(2),1058-1079. |
MLA | Liu, Weiqiang,et al."A modified empirical mode decomposition method for multiperiod time-series detrending and the application in full-waveform induced polarization data".GEOPHYSICAL JOURNAL INTERNATIONAL 217.2(2019):1058-1079. |
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