Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Detection of the Shuangshi-Dachuan Fault using Shallow Seismic Reflection in the Southern Section of the Longmenshan Fault Zone

Authors: Dahu Li; Hua Liao; Zhifeng Ding; Pingping Wu;

Detection of the Shuangshi-Dachuan Fault using Shallow Seismic Reflection in the Southern Section of the Longmenshan Fault Zone

Abstract

Abstract A significant number of Chinese and international earthquake disaster surveys indicate active faults as the root cause of earthquakes. Areas along fault lines experience the most severe damage and a greater number of personal injuries compared to regions on either side of the fault. Therefore, by adopting the shallow seismic reflection method to accurately detect the location and distribution of active faults, and developing effective measures to evade active faults, we can reduce earthquake disaster damage and economic losses. On April 20, 2013, the Lushan Ms7.0 earthquake occurred near the Shuangshi-Dachuan Fault (SDF) in the southern section of the Longmenshan fault zone. Because of its relatively high rate of earthquake activity, complex seismo-tectonic environment, and unique geological conditions, achieving usable data with seismic reflection is not easy. For that reason, available shallow seismic data of the SDF is extremely scarce. In our work, we carefully designed a survey to meet the constraints of the project and we have identified the precise location and near-surface structural form of the NE-trending SDF in the disaster area of the earthquake. The seismic surveys were located in Shuangshi Town of Lushan County and Daxi of Baoxing County. The detection of the SDF provided a scientific basis for selecting sites for post-disaster recovery and reconstruction to avoid these active fault zones, and reduce possible disastrous losses that could be caused by future earthquakes.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!