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SurfSeis Version 2.0 Overview |
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Since the release of SurfSeis version 1.0 in 2000, the surface wave method in general has gone through a tremendous amount of applications and research at many places, including the Kansas Geological Survey (KGS). In consequence, SurfSeis 2 has new features that take into account those new methodological developments as well as users' demands for enhanced user-friendliness. Although the manual (Manual20.pdf) has been prepared mainly to explain the new features, such as those related to the passive part of the multichannel analysis of surface waves (MASW) method, it can serve as a stand-alone manual for both active and passive MASW methods for those who have previous experience in seismic data acquisition and data processing in either body- or surface-wave methods. In this version, the MASW method has been divided into three categories by survey mode: active, passive remote, and passive roadside MASW methods (Figure 1). The active method (Park et al., 1999) was introduced in previous versions of SurfSeis. It is the conventional mode of survey using an active seismic source (e.g., a sledge hammer) and a linear receiver array, collecting data in a roll-along mode. The other two methods utilize surface waves generated passively from ambient cultural (and natural) activities such as traffic (and thunder, tidal motion, atmospheric pressure change, etc.). The passive remote method (Park et al., 2004; 2005) employs a two-dimensional (2-D) receiver array such as a cross or circular layout to record passive surface waves. This results in the most accurate evaluation of shear-wave velocity (Vs) at the expense of more intensive field operations and the burden of securing a wide open space for the array. This can be a good choice if a relatively regional one-dimensional (1-D) Vs profiling is needed. The passive roadside MASW method (Park and Miller, 2006) adopts the conventional linear receiver array and tries mainly to utilize those surface waves generated from local traffic. It tries to overcome limitations with the passive remote method such as difficulty in securing a spacious area and inconvenience in field operations by sacrificing the accuracy (usually less than 10%) of the Vs evaluation. With this method, the array can be set along the sidewalk or the shoulder of a road and the survey can continue in a roll-along mode for the purpose of 2-D Vs profiling. Using a land streamer for the array can improve the survey speed by as much as a few orders of magnitude. In addition, an active impact (e.g., by using a sledge hammer) can be applied at one end of the array to trigger a long (e.g., 30 sec) record of data. This can result in the active-passive combined analysis of surface waves for the purpose of obtaining both shallow (e.g., 1-20 m) and deep (e.g., 20-100 m) Vs information simultaneously. A more detailed description of each method can be found in previously cited references. However, field procedures for these methods (both passive and active) have been summarized in this version of manual. Data processing steps are explained by using the sample data sets stored in the "...\SurfSeis20\SampleData\" folder. All acquisition parameters for the sample data sets are listed in Table 1. Figure 1a--Active MASW method. More information is available on "Active MASW."
Figure 1b--Passive Remote MASW method. More information is available on "Passive Remote MASW."
Figure 1c--Passive Roadside MASW method. More information is available on "Passive Roadside MASW."
Table 1--Summary of sample data set parameters.
A summary of the entire procedure with a MASW method (active or passive) is displayed in the flowchart in Figure 2. Major changes and new features with this version are summarized as follows:
Most (if not all) of the bugs existing in previous versions of SurfSeis have been fixed, thanks to the comments and reports from many practitioners who used SurfSeis to conduct the MASW method and who were very patient and always willing to help this quite new geophysical method still in its infancy evolve into a better form. We researchers at KGS sincerely appreciate your patience and assistance. Figure 2--Flow chart of MASW processing steps.
ReferencesPark, C.B., and Miller, R.D., 2006, Roadside passive MASW: Proceedings of SAGEEP, April 2-6, 2006, Seattle, Washington. [PDF available online, 1.3 MB] Park, C.B., Miller, R.D., Ryden, N., Xia, J., and Ivanov, J., 2005, Combined use of active and passive surface waves: Journal of Engineering and Environmental Geophysics (JEEG), 10, (3), 323-334. [PDF available online, 1.1 MB] Park, C.B., Miller, R.D., Xia, J., and Ivanov, J., 2004, Imaging dispersion curves of passive surface waves: SEG Expanded Abstracts: Soc. Explor. Geophys., (NSG 1.6), Proceedings published on CD. [PDF available online, 736 kB] Park, C.B., Miller, R.D., and Xia, J., 1999, Multichannel analysis of surface waves (MASW); Geophysics, 64, 800-808. [PDF available online, 1.3 MB] SurfSeis 2.0 Processing StepsField Setup (Active Survey)Active Data Set Acquired in Roll-Along ModeEncoding Field Geometry
Source-receiver Station Table after Encoding
Field Setup (Passive Remote Survey)X-Y Coordinate Setup for Each Receiver by Click and Drag24-Channel Circular Array (After Completion of Setup)
48-Channel Cross Array (Early Stage of Setup)
Field Setup (Passive Roadside Survey)Passive Roadside Data Set Acquired in Roll-Along ModeEncoding Field Geometry
Source-receiver Station Table after Encoding
Dispersion Image GenerationGeneration by 2-D Wavefield Transformation
Controllable Processing ParametersActive (A) and Passive (P)
Passive (P) Only
Active (A) and Passive (P)
Active (A) and Passive (P)
Dispersion ImageFrom Active Data
From Passive Remote Data
Azimuth Information of Passive Remote Data
Dispersion Curve ExtractionSetting Bounds by Mouse for Phase Velocity and Frequency Ranges
Extracting and Editing Dispersion Curve
Controllable Parameters
Inversion of Extracted CurvesGradient-Based Inversion* of (Fundamental Mode) Dispersion Curves*If all extracted curves are of the fundamental mode, this is the fastest and simplest inversion approach to take.
2-D Vs Profile from Inversion
Inversion of Dispersion ImageMulti-modal (up to 4) Forward Modeling with Full Control of Earth Model**If multi-modal nature is observed with dispersion image, this provides a complete control over dispersion trends modeled from a given earth model to be compared to background images.
Automatic Inversion by Monte-Carlo Approach for 2-D Vs Profile
Multi-Modal Inversion (Controls)Forward Modeling Portion
Inversion Portion
Combining Active and Passive DispersionTo Increase Frequency (Depth) Range...
To Help Modal Identification...
Opening an Active (or Passive) Image and then Passive (or Active) Image to Combine Together
Back to SurfSeis home Kansas Geological Survey Updated May 30, 2006 © 1998 by Kansas Geological Survey, The University of Kansas, all rights reserved ® Registered to Microsoft Corp., Redmond, WA (tm) Trade mark registered to Microsoft Corp. URL = http://www.kgs.ku.edu/software/surfseis/s2intro.html Comments or questions to mbro@kgs.ku.edu or SurfSeis@kgs.ku.edu |