Smoothed basin velocity structure model of the Kanto Sedimentary Basin (Takemura et al., 2015)
<p><strong>Model description</strong></p> <p>We constructed sedimentary <em>S</em>-wave velocity structure model of the Northern Kanto region using 190 local <em>S</em>-wave velocity structures. In the uploaded files of Takemura2015_V0..dat and Takemura2015_Alpha.dat, longitudes, latitudes and values of <span class="math-tex">\(V_0\)</span> (and <span class="math-tex">\(\alpha\)</span>) at 190 local points are listed. Our model of the sedimentary basin was described by two parameters of a simple velocity gradient function (Ravve and Koren 2006). The depth gradient function is described as</p> <p><span class="math-tex">\(V_S(z)=V_0+\Delta V\left[1-\exp\left(-\frac{\alpha z}{\Delta V}\right)\right]\)</span></p> <p>where <span class="math-tex">\(V_0\)</span> is the <em>S</em>-wave velocity at the surface (<em>z</em> =&thinsp;0), <span class="math-tex">\(\Delta V\)</span> is <em>S</em>-wave velocity of the bedrock (3.2 km/s), and <span class="math-tex">\(\alpha\)</span> is the positive constant that determines the velocity-depth gradient.</p> <p><strong>3D sedimentary model construction </strong></p> <p>After applying GMT surface to each parameter, spatial variations of both two parameters were obtained. Using obtained spatial distributions of <span class="math-tex">\(V_0\)</span> and <span class="math-tex">\(\alpha\)</span> and the depth gradient function, 3D sedimentary velocity structure of the Northern Kanto region could be constructed. </p> <p><strong>Citation</strong></p> <p>Takemura, S., Akatsu, M., Masuda, K., Kajikawa, K., & Yoshimoto, K., (2015), Long-period ground motions in a laterally inhomogeneous large sedimentary basin: observations and model simulations of long-period surface waves in the northern Kanto Basin, Japan, Earth, Planets and Space, 67:33, <a href="https://doi.org/10.1186/s40623-015-0201-7">doi:10.1186/s40623-015-0201-7</a></p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 0