Journal cover Journal topic
Solid Earth An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 2.380 IF 2.380
  • IF 5-year value: 3.147 IF 5-year
    3.147
  • CiteScore value: 3.06 CiteScore
    3.06
  • SNIP value: 1.335 SNIP 1.335
  • IPP value: 2.81 IPP 2.81
  • SJR value: 0.779 SJR 0.779
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 32 Scimago H
    index 32
  • h5-index value: 31 h5-index 31
Discussion papers
https://doi.org/10.5194/se-2019-74
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-2019-74
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 23 May 2019

Research article | 23 May 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Solid Earth (SE).

Visual analytics of the aftershock point cloud data in complex fault systems

Chisheng Wang1,3, Junzhuo Ke1, Jincheng Jiang2, Min Lu1, Wenqun Xiu4, Peng Liu5, and Qingquan Li1 Chisheng Wang et al.
  • 1Guangdong Key Laboratory of Urban Informatics, School of Architecture & Urban Planning, Shenzhen University, Shenzhen, 518000, China
  • 2Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518000, China
  • 3Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, 518000, China
  • 4Shenzhen Urban Public Safety and Technology Institute, Shenzhen, 518000, China
  • 5Academy for Advanced Interdisciplinary Studies and Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen 518000, China

Abstract. Aftershock point cloud data provide direct evidence for the characteristics of underground faults. However, there has been a dearth of studies using the state-of-art visual analytics methods to explore the data. In this paper, we present a novel interactive visual analysis approach for visualizing the aftershock point cloud. Our method employs a variety of interactive operations, rapid visual computing functions, flexible display modes and various filtering approaches to present and explore the desired information for the fault geometry and aftershock dynamics. The case study conducted for the 2016 central Italy earthquake sequence shows that the proposed approach can facilitate the discovery of the geometry of the four main fault segments and three secondary fault segments. It can also clearly reveal the spatio-temporal evolution of the aftershocks, helping to find the fluid-driven mechanism of this sequence. An open-source prototype system based on the approach is also developed and is freely available.

Chisheng Wang et al.
Interactive discussion
Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Login for Authors/Topical Editors] [Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Chisheng Wang et al.
Chisheng Wang et al.
Viewed  
Total article views: 266 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
211 54 1 266 9 0 0
  • HTML: 211
  • PDF: 54
  • XML: 1
  • Total: 266
  • Supplement: 9
  • BibTeX: 0
  • EndNote: 0
Views and downloads (calculated since 23 May 2019)
Cumulative views and downloads (calculated since 23 May 2019)
Viewed (geographical distribution)  
Total article views: 199 (including HTML, PDF, and XML) Thereof 197 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 19 Jul 2019
Publications Copernicus
Download
Short summary
The point cloud of located aftershocks contains the information which can directly reveal the fault geometry and temporal evolution of earthquake sequence. However, there is a lack of study using the state-of-art visual analytics method to explore the data to discover hidden information about the earthquake fault. We present a novel interactive approach to illustrate 3D aftershock cloud point, which can help the seismologist to better understand the complex fault system.
The point cloud of located aftershocks contains the information which can directly reveal the...
Citation