| dc.contributor.author |
Wiatr, T |
en |
| dc.contributor.author |
Reicherter, K |
en |
| dc.contributor.author |
Papanikolaou, I |
en |
| dc.contributor.author |
Fernandez-Steeger, T |
en |
| dc.contributor.author |
Mason, J |
en |
| dc.date.accessioned |
2014-06-06T06:52:49Z |
|
| dc.date.available |
2014-06-06T06:52:49Z |
|
| dc.date.issued |
2013 |
en |
| dc.identifier.issn |
00401951 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1016/j.tecto.2013.07.024 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/6197 |
|
| dc.subject |
Active bedrock normal fault scarp |
en |
| dc.subject |
Crete |
en |
| dc.subject |
Kinematic indicators |
en |
| dc.subject |
Slip vector analysis |
en |
| dc.subject |
Spili Fault |
en |
| dc.subject |
t-LiDAR |
en |
| dc.subject.other |
Crete |
en |
| dc.subject.other |
Kinematic indicators |
en |
| dc.subject.other |
Normal faults |
en |
| dc.subject.other |
Slip vectors |
en |
| dc.subject.other |
t-LiDAR |
en |
| dc.subject.other |
Optical radar |
en |
| dc.subject.other |
Steel beams and girders |
en |
| dc.subject.other |
Surveying instruments |
en |
| dc.subject.other |
Faulting |
en |
| dc.subject.other |
bedrock |
en |
| dc.subject.other |
fault plane |
en |
| dc.subject.other |
hanging wall |
en |
| dc.subject.other |
lidar |
en |
| dc.subject.other |
lineation |
en |
| dc.subject.other |
normal fault |
en |
| dc.subject.other |
paleostress |
en |
| dc.subject.other |
slickenside |
en |
| dc.subject.other |
slip |
en |
| dc.subject.other |
stress analysis |
en |
| dc.subject.other |
Aegean Islands |
en |
| dc.subject.other |
Crete [Greece] |
en |
| dc.subject.other |
Greece |
en |
| dc.title |
Slip vector analysis with high resolution t-LiDAR scanning |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1016/j.tecto.2013.07.024 |
en |
| heal.publicationDate |
2013 |
en |
| heal.abstract |
A palaeostress analysis of an active bedrock normal fault scarp based on kinematic indicators is reconstructed using terrestrial laser scanning (TLS). For this purpose, three key elements are necessary for a defined region: (i) the orientation of the fault plane, (ii) the orientation of the slickenside lineation or other kinematic indicators, and (iii) the sense of motion of the hanging wall. The paper specifies a workflow in order to obtain stress data from point cloud data using terrestrial laser scanning (TLS) in an active tectonic environment.The entire analysis was performed on a continuous limestone bedrock normal fault scarp on the island of Crete, Greece, at four different locations along the WNW-ESE striking Spili Fault. At each location we collected data with the terrestrial light detection and ranging system (t-LiDAR). We then validated the calculated three-dimensional stress results at three of the locations by comparison with conventional methods using data obtained manually with a compass clinometer. Numerous kinematic indicators for normal faulting were discovered on the fault plane surface using t-LiDAR data. When comparing all reconstructed stress data obtained from t-LiDAR to that obtained through manual compass measurements, the degree of fault plane orientation divergence is ±. 005/03 for dip direction and dip. The degree of slickenside lineation divergence is ±. 003/03 for dip direction and dip. Therefore, the percentage threshold error of the individual vector angle at each investigation site is lower than 3% for the dip direction and dip for planes, and lower than 6% for the strike. The maximum mean variation of the complete calculated stress tensors is ±. 005/03. © 2013 Elsevier B.V. |
en |
| heal.journalName |
Tectonophysics |
en |
| dc.identifier.volume |
608 |
en |
| dc.identifier.doi |
10.1016/j.tecto.2013.07.024 |
en |
| dc.identifier.spage |
947 |
en |
| dc.identifier.epage |
957 |
en |