gravity sources identification using continuous wavelet transform

نویسندگان

امین روشندل کاهو

فرشاد سلاجقه

چکیده

introduction: wavelet transform is one of the useful and suitable tools for time series and signal analysis. nowadays wavelet transform is frequently used in geophysical data processing and interpretation, especially seismic data. however, the use of this method isn’t widespread in gravity and geomagnetic. fedi and quarta (1998), martelet et al. (2001) and de oliveira lyrio (2004) used the wavelet transform for processing and interpretation of the potential field data. in this paper, a new method based on continuous wavelet transform for determination of depth and location of gravity anomalies is introduced. continuous wavelet transform and gravity source identification: all of the time-frequency or time-scale transforms intend to show how the energy of a signal is distributed in time-frequency or time-scale plan. the continuous wavelet transform (cwt) maps the time (space) domain signal into the time (space)-scale plan. the cwt of a signal is defined as the convolution of signal with a translated and scaled wavelet (equation (1)). (1) where, denotes the complex conjugate, is scale, is space and is the mother wavelet. shifted and scaled version of the mother wavelet can be computed as equation (2): (2) any wavelet which is selected as the mother wavelet must meet the zero mean value condition. mother wavelet selection can affect on the results of wavelet analysis. if the properties of the selected mother wavelet are the same as the signal, then the space-scale representation of the signal can give more useful information about the energy distribution of the signal in space-scale plan. a buried cylinder can be seen as a rectangle in 2d view. in addition, any body in 2d can be shown by arranged rectangles. therefore, we use the gravitational anomaly of a buried cylinder and its first and second horizontal derivatives and their vertical derivative as mother wavelets. the gravitational anomaly of the buried cylinder can be obtained by equation (3): (3) where, is the gravitational constant, m is mass of the buried cylinder located at the position and depth . this wavelet does not meet the zero mean value condition and cannot be used as the mother wavelet. but its derivatives are suitable for the mother wavelet. equations (4) to (7) are the derivatives of the gravitational the anomaly of the buried cylinder. (4) (5) (6) (7) when we used these equations as the mother wavelet, and are not needed and is set to one. discussion: we tested the efficiency of the cwt method for gravity source identification on various synthetic models such as a simple cube, various type of faults, simple cubes in different depths and real data. the cwt coefficients are computed using the gravitational anomaly and its first and second horizontal derivatives. the obtained results show that the cwt coefficients obtained using first horizontal derivative of data and equations (4) and (6) can estimate precisely the depth and location of the source of gravitational anomaly.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Damage identification of structures using experimental modal analysis and continuous wavelet transform

Abstract: Modal analysis is a powerful technique for understanding the behavior and performance of structures. Modal analysis can be conducted via artificial excitation, e.g. shaker or instrument hammer excitation. Input force and output responses are measured. That is normally referred to as experimental modal analysis (EMA). EMA consists of three steps: data acquisition, system identificatio...

متن کامل

Identification of Flicker Source Using Continuous Wavelet Transform

In this paper, a method based on continuous wavelet transform is suggested for calculation of flicker power. The flicker power can be utilized to identify the flicker direction to a flicker source with respect to a monitoring point. In our proposed method, using continuous Gaussian wavelet transform, pure flicker waveforms are extracted from the measured voltage and current signals. The flicker...

متن کامل

Identification of Chirps with Continuous Wavelet Transform

Chirps are signals (or sums of signals) that may be characterized by a local (i.e. time-dependent) amplitude and a local frequency. Time-frequency representations such as wavelet representations are well adapted to the characterization problem of such chirps. Ridges in the modulus of the transform determine regions in the transform domain with a high concentration of energy, and are regarded as...

متن کامل

Interpretation of Gravity Data Using Wavelet Transform

Various techniques have been developed to interpret potential field data which are broadly categorized as: Forward and Inverse modeling (Blakely, 1995). Ambiguity in identification and characterization of the sources from the potential field data makes formulation of initial model a critical step while analyzing the data. The second category of techniques (inversion) shows many constraints such...

متن کامل

modal coefficients identification using wavelet transform

identification of damping parameter is usually more complicated and unreliable comparing to mass or stiffness identification in structural dynamics. there are many factors such as intermolecular friction, coulomb friction and viscous damping affecting the damping mechanisms in a structure. therefore it is difficult, and in some cases impossible, to describe the details of damping mechanisms by ...

متن کامل

Crop Identification Using Gabor Wavelet Transform

This paper illustrates the use of Gabor wavelet transform on satellite images to classify the land in to crop land and noncrop land and to classify different crops. The input image is enhanced first using Colour Space Transform and Discrete Cosine Transform, and then a filter bank consisting of Gabor wavelets is used to extract texture features from the satellite image. The feature formation pr...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید


عنوان ژورنال:
فیزیک زمین و فضا

جلد ۳۵، شماره ۲، صفحات ۰-۰

کلمات کلیدی
introduction: wavelet transform is one of the useful and suitable tools for time series and signal analysis. nowadays wavelet transform is frequently used in geophysical data processing and interpretation especially seismic data. however the use of this method isn’t widespread in gravity and geomagnetic. fedi and quarta (1998) martelet et al. (2001) and de oliveira lyrio (2004) used the wavelet transform for processing and interpretation of the potential field data. in this paper a new method based on continuous wavelet transform for determination of depth and location of gravity anomalies is introduced. continuous wavelet transform and gravity source identification: all of the time frequency or time scale transforms intend to show how the energy of a signal is distributed in time frequency or time scale plan. the continuous wavelet transform (cwt) maps the time (space) domain signal into the time (space) scale plan. the cwt of a signal is defined as the convolution of signal with a translated and scaled wavelet (equation (1)). (1) where denotes the complex conjugate is scale is space and is the mother wavelet. shifted and scaled version of the mother wavelet can be computed as equation (2): (2) any wavelet which is selected as the mother wavelet must meet the zero mean value condition. mother wavelet selection can affect on the results of wavelet analysis. if the properties of the selected mother wavelet are the same as the signal then the space scale representation of the signal can give more useful information about the energy distribution of the signal in space scale plan. a buried cylinder can be seen as a rectangle in 2d view. in addition any body in 2d can be shown by arranged rectangles. therefore we use the gravitational anomaly of a buried cylinder and its first and second horizontal derivatives and their vertical derivative as mother wavelets. the gravitational anomaly of the buried cylinder can be obtained by equation (3): (3) where is the gravitational constant m is mass of the buried cylinder located at the position and depth . this wavelet does not meet the zero mean value condition and cannot be used as the mother wavelet. but its derivatives are suitable for the mother wavelet. equations (4) to (7) are the derivatives of the gravitational the anomaly of the buried cylinder. (4) (5) (6) (7) when we used these equations as the mother wavelet and are not needed and is set to one. discussion: we tested the efficiency of the cwt method for gravity source identification on various synthetic models such as a simple cube various type of faults simple cubes in different depths and real data. the cwt coefficients are computed using the gravitational anomaly and its first and second horizontal derivatives. the obtained results show that the cwt coefficients obtained using first horizontal derivative of data and equations (4) and (6) can estimate precisely the depth and location of the source of gravitational anomaly.

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023