tectonic geomorphology and earthquake geology of the 1857...

1
Study area: central Carrizo Plain--25 cm B4 DEM combined with high resolution balloon platform imagery 0.25 m B4/GLW DEM 61 Sieh, 1978: excellent- Beheaded gully and very short scarp face gully Sieh Offset: 9.4 ±0.6 m 2006 field observation: 7.8±1.0m Lidar determination: 10.8±1 m 61.1 Not found within the Sieh 1978 report Lidar determination: 11.4 ±1.0 m 62 Sieh, 1978: poor/fair - Offset gully - Deformation in addition to main fault slip is ambiguous because of gully geometry; minimum value, some warp. Sieh Of fset: 17.4 ±0.6 m 2006 field observation 15.5 ±1 m Lidar determination 16.8 ±1 m 62.1 Not found within the 1978 Sieh report Lidar determination: 8.7±1 m 63 Sieh, 1978: good - Of fset SE wall of large stream - Wall NE of fault trace may have sloughed some material since last movement Sieh Offset: 9.3 ±0.9 m 2006 field observation: 9.5±0.5 m Lidar determination: 12.8 m ±1.0 m 63.1 Not found within the 1978 Sieh report 2006 field observation: 21.1±2 m Lidar determination: 15.9±1.0 m 63.2 Not found with in the 1978 Sieh report 2006 field observation: 10.6±1.0 m Lidar determination A= 8.9 m ±1.0m B= 25.5 m ±1.0m C=30.7 m±1.0m D=22.7 m±1.0 m T=87.7 zzzhm Not found within the 1978 Sieh report 2006 field observation: 20.8±1.0 m Lidar determination: 21.8±1.0 63.3 64 Sieh, 1978: good/fair - Offset gully -Channel separated along fault - Shutter ridge in front of channel may be eroded by post 1857 run-of. Therefore this may be a minimum value. Possibility of deflection suggest that it is a max value. Sieh Offset: 8.8±0.6 m 2006 field observation 23.4±1.0 m Lidar determination 23.9±1.0 m Sieh, 1978: fair - Very small gully drain across fault trace at 1.2m- wide bench. Bench and alluvial deposits at bench result in imprecise offset value. Sieh offset: 7.0±1.3 m 2006 field observation: 19m ±.0.5 m Lidar determination: A=6.0±1 B=20.7±1.5 m 65 Advanced methods for computing offset: profile cross correlation and hydrologically correct DEMs 15 10 5 0 5 10 15 20 25 30 613 615 617 619 elevation (m) 15 10 5 0 5 10 15 20 25 30 0 0.2 0.4 0.6 0.8 1 distance along profile(m) normalized elevation offset = 15.0 m corduroy One basic idea of determining offsets is to assume that the channel was similar in profile on each side of the fault, so offset determination comes from simply matching parallel profiles. In this example, I took a 25 cm DEM from the GLW at channel 62 (see above) and extracted a profile 5 m on each side of the SAF trace. The profiles correlate best with an offset of 15 m which is similar to the 15-17 m offsets determined above. The problem is that this approach removes the geomorphological intuition that is typically employed as the observer ponders the subtle history of the channel: Was the channel perpendicular to the fault trace prior to offset? Has it been offset more than once? (Should have been in this case.) Where is the evidence for channel development between the first and second offset? Note also the ALSM scanner parallel grooving ("corduroy") from superposition of mislocated swaths. It has an amplitude and wavelength of 20-50 cm. Another way to have the DEMs help the tectonic geomorphologist is to produce hydrologically correct DEMs (fill pits) and then compute drainage network parameters, such as contributing area (A). Such information should help to guide the observer in semi-automatically delineating the channel network, and thus the offsets. In this case, I show examples from channels 62 and 63.1 on 25 cm DEMs from the GLW Channel 62 comments: 1) Note that the network delineation is disrupted by the vegetation in the channel--indicating the need for vegetation filtering. 2) I measured an offset of about 13 m, which is about 2 m less than the other approaches. Channel 63 comments: 1) The channel is well defined in the hillshade and in the contributing area computation. 2) I measured an offset of 19 m which is in the middle of the 15-21 m measurements from the other methods. Channel 62 Channel 62 Channel 63.1 The data are unprecedented in their power to quantitatively depict the tectonic land- forms along the SAF. We closely examined several reaches of the fault in the Carrizo Plain. We compared our estimates of 1857 and earlier offset from the field and from the B4-derived DEMs to the estimates from Sieh, 1978. Combinations of field and virtual examination provided our most confident estimates. In addition, a quantitative offset estimation using SAF spanning and parallel profiles was possible in places with higher quality obvious offsets. Broad (>several m) and shallow channels (<1 m) were difficult to confidently match with this semi-automated approach. NW end of the Dragon’s Back Sieh 1978 offsets in integers, new offsets interpolated with decimals between nearest Sieh offsets corduroy 10 m N 13 m 19 m Profile matching via cross correlation follows method of Borsa, et al., 2001. Conclusions Semi-automated approaches to measurement of earthquake offsets along strike-slip faults such as the SAF using high resolution ALSM data is a promising tool for assessing fault activity, but understanding the local geomorphic his- tory still requires careful and potentially subjective consideration. These data (and high resolution imagery) enable vir- tual geomorphology and enhance a true field effort. In the area of the Bidart paleoseismic site, we measured 7 m off- sets and attribute them to the 1857 earthquake. Future work - Extend to entire 1857 earthquake reach of SAF and provide improved esti- mate of 1857 slip variation and moment release. - Use vegetation-minimizing local minimum elevation binning algorithm for gridding (see Kim, et al. poster-- G53C-0921). - Continue semi-automatic cross correlation effort and introduce uncertainty estimation. Apply longer portions of faults to estimate reach-averaged offset. - Further idealization of landscape (half cylinders/ellipsoids to channels, etc.) - Continue to assess utility of hydrologically correct DEMs and drainage net- work parameters to improve channel detection. - Apply understanding of landscape development to simulate geomorphic modification of offset channels. References Akciz, S. O., Grant, L. B., Arrowsmith, J R., 2006a. New and extended paleoseismological evidence for large earthquakes on the San Andreas fault at the Bidart fan site, California: Seism. Res. Lttrs., 77, 2, p. 269. Bevis, M., Hudnut, K., Sanchez, R., Toth, C., Grejner-Brzezinska, D., Kendrick, E., Caccamise, D., Raleigh, D., Zhou, H., Shan, S., Shindle, W., Yong, A., Harvry, J., Borsa, A., Ayoub, F., Elliot, B., Shrestha, R., Carter, B., Sartori, M., Phillips, D., Coloma, F., Stark, K., 2005. The B4 Project: Scanning the San Andreas and San Jacinto Fault Zones: Eos Trans. AGU, 85(47), Fall Meet. Suppl., Abstract H34B-01. Borsa, A., Minster, J. -B., Hudnut, K., 2001. Estimating fault Displacement from the 1999 Hector Mine earthquake using LIDAR: EOS, 82, no. 47 F270. Crosby, C.J., Arrowsmith, J R., Frank, E., Conner, J., Memon, A., Nandigam, V., Wurman, G., Baru, C., A Geoinformatics Approach to LiDAR Data Distribution and Processing: in preparation. Efrat Jaeger-Frank, Christopher J. Crosby, Ashraf Memon, Viswanath Nandigam, J. Ramon Arrowsmith, Jeffery Conner, Ilkay Altintas, Chaitan Baru, 2006. A Three Tier Architecture for LiDAR Interpolation and Analysis <http://dx.doi.org/10.1007/11758532_123>: Lecture Notes in Computer Science, 3993, Apr 2006, Pages 920-927, DOI: 10.1007/11758532_123. Grant, L. B., Sieh, K., 1994. Paleoseismic Evidence of Clustered Earthquakes on the San Andreas Fault in the Carrizo Plain, California: J. Geophys. Res., 99, B4, p. 6,819-6,841. Sieh, K. E., 1978. Slip along the San Andreas fault associated with the great 1857 earthquake: Bull. Seism. Soc. Am., 68, p. 1,421-1,448. ! ! ! ! ! ! ! ! ! ! ! ! 35 34 33 32 31 30 29 28 27 26 25 21 T9 T7 T8 2006 T5 T3 T4 T2 0 50 100 25 Meters 0 1 2 0.5 Kilometers Slope (degrees) 73 0 Offset at NW end of the Bidart site (NW of T3 and T4; Sieh #32) was measured as 18.3±0.9 m by Sieh. We measure 19.7 m of the channel thalweg parallel to the local SAF (black line) on the B4 DEM. 25 cm resolution spline-derived DEMs are from B4 dataset. SAF 0 5 10 15 20 25 30 35 40 612 613 distance along profile(m) elevation (m) 10 m SAF Xcorr offset = 7.7 m thalweg offset = 7.1 m A B C A: 6.75 - 7.65 m B: 8.1 m C: 10.8 - 13.5m fault zone BDT2 10 m 99.5 m 100 99 100 99.5 m 98.5 99.0 m N N Application to Bidart site offsets in the Central Carrizo Plain: 7 m 1857 offsets SAF T4 scar 20 m N 0 20 40 60 80 100 120 610 612 distance along profile(m) elevation (m) thalweg offset = 19.7 m 0 10 20 30 40 50 60 70 617 618 619 distance along profile(m) elevation (m) 7.0 m offset Offset at SE end of Bidart site (NW of T2) was measured as 9.6±1.4 m by Sieh and 7-8 m by Grant and Sieh, 1994. Alternative interpreta- tions are as much as 13.5 m. T2 offset in B4 data has thalweg offset of 7.1 m and a cross correlation offset of 7.7 m. 25 cm resolution spline-derived DEMs are from B4 dataset. New offset channel discovered with cursory review of 0.5 m B4 DEM. This 0.5 m deep and ~10 m chan- nel is offset 7 m. 25 cm resolution spline-derived DEMs are from B4 dataset. Grant and Sieh 1994 and Akciz, et al., 2006 trenches cut across SAF zone defined as “moletrack” in slope map SAF 20 m SAF N Carrizo Plain area 1 m DEM repre- sentation of B4 data along San An- dreas Fault (Sieh 1978 offsets in yellow) Wallace Creek Topographic profile matching as we employ here assumes that the channel elements can be projected to a SAF-parallel plane and there offsets thus measured. It does not allow for any initial irregularities or non-orthogonality to the SAF in the channel elements. We are working on methods to improve this and fit surfaces to each side’s geomorphology that can be projected appropriately and the offset more carefully reconstructed and the uncer- tainty estimated. N 0 2 4 1 Kilometers Carrizo Plain area 1 m DEM representation of B4 data along San Andreas Fault (~380M points) The B4 Project (an exemplary community dataset): LiDAR coverage of the Southern San Andreas and San Jacinto fault zones N Tools: GEON LiDAR Workflow & B4 Airborne Laser Swath Mapping dataset The GEON LiDAR Workflow (GLW-- Crosby, et al., 2006; and Jaeger-Frank, et al., 2006) enables users to select, manipulate, process, and download Airborne Laser Swath Mapping (ALSM) point clouds and to produce various Digital Elevation Model (DEM) products using the tools of cyberinfrastructure though our collaboration with GEON (http://www.geongrid.org/science/lidar.html). We have incorporated the more than 38 billion points of the B4 survey into the GLW. CONCEPTUAL GEON LiDAR WORKFLOW NOTE: Process will be wrapped in an authentification protocol that has already been developed by GEON. At login, site visitor is identified as Guest, User, or Owner of data and their permissions are set accordingly. Point Cloud Projection Engine Generate GRID Interactive vegetation filtering Data artifact & density evaluation Raster Calculator JPEG / GIF Ascii GRID S A L e l i f t x e t GeoTIFF e d a h s l l i H ) . c t e e p o l s ( s l o o t . c l a c M E D Download Spline GRASS GIS Kriging IDW block mean / min / max TIN INTERPOLATION & ANALYSIS DISTRIBUTION AND DOWNLOAD = workflow pathways currently implemented Spatially enabled database LiDAR point cloud raster data Interactive web-based Interface: Spatial and attribute based queries Binary GRID Web Browser 3D Visualize VISUALIZATION Problem: slip along the San Andreas Fault in 1857 earthquake and earlier Important information about paleoearthquakes is recorded in the meter-scale tectonic geomorphology of fault zones. Such information is available from both the records of offset and from paleoseismic sites which are better understood with enhanced knowledge of geomorphic context. The B4 airborne laser swath mapping dataset of the topography along the San Andreas Fault (SAF) zone has enabled a spectacular new look at the 10s-of-meter scale tectonic geomorphology and is a powerful complement to field survey. Offset stream channel along SAF in Carrizo Plain depicted in 4 cm resolution georectified aerial photo from remote control balloon system draped over 25 cm from B4 survey and GEOn Lidar workfow Offsets along the San Andreas Fault in Southern California (Sieh, 1978). The smallest offsets in this group are attributed to the 1857 earthquake. Offsets along the northwestern portion of the Cholame segment were also studied by Lienkaemper. The south central SAF preserves numerous offset landforms that will be uniformly charaterized in detail with high resolution ALSM. The entire SAF shown in this map has been imaged with ALSM. Active faults in yellow from USGS and Vedder and Wallace, 1970. 120°0'0"W 119°0'0"W 118°0'0"W 35° 0'0"N 36°0'0"N rating (after Sieh, 1978) excellent excellent/good good fair/good fair poor/fair poor not reported offset (after Sieh, 1978) 40m Active Faults (after USGS and Vedder & Wallace, 1970) Highways 0 20 40 10 Kilometers Explanation Cholame segment Study area: Carrizo Segment San Andreas Fault N http://activetectonics.asu.edu http://lidar.asu.edu Tectonic geomorphology and earthquake geology of the 1857 reach of the San Andreas Fault: a new look from Airborne Laser Swath Mapping J Ramón ARROWSMITH 1 , Bryan Campbell 2 , Chris Crosby 1 , David Raleigh 3 1 School of Earth and Space Exploration, Arizona State Univ, Tempe, AZ 85281-1404 2 Department of Geosciences, Elizabeth City State University, Elizabeth City, NC 27909 3 Department of Geological Sciences, Ohio State University, Columbus, OH 43210 Acknowledgments Special thanks to our SDSC/ASU/UCSD colleagues working on the GEON LiDAR Workflow (Chaitan Baru, Efrat Jaeger, Viswanat Nandigam, Ashraf Memon, Jeff Conner, Newton Alex, and Han Kim. Thanks also to the B4 team, Lisa Grant and Sinan Akciz, Olaf Zielke, Kelin Whipple, Kevin Eagar, David Schwartz, Nathan Toke, and Sue Selkirk for graphics oversight. This material is based upon work supported by the National Science Foundation under grants EAR-0225543 (GEON), EAR-0409745 (Bidart paleoseismology) & the Southern California Earth- quake Center

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Page 1: Tectonic geomorphology and earthquake geology of the 1857 ...activetectonics.asu.edu/1857/AGU06_Arrowsmith.pdfdata along San Andreas Fault (~380M points) The B4 Project (an exemplary

Study area: central Carrizo Plain--25 cm B4 DEM combined with high resolution balloon platform imagery

0.25 m B4/GLW DEM

61

Sieh, 1978: excellent- Beheaded gully and very short scarp face gullySieh Offset: 9.4 ±0.6 m2006 field observation:7.8±1.0mLidar determination:10.8±1 m

61.1

Not found within the Sieh 1978 report

Lidar determination:11.4 ±1.0 m

62

Sieh, 1978: poor/fair - Offset gully - Deformation in addition to main fault slip is ambiguous because of gully geometry; minimum value, some warp.

Sieh Offset: 17.4±0.6 m2006 field observation15.5±1 mLidar determination16.8±1 m

62.1

Not found within the 1978 Sieh report

Lidar determination:8.7±1 m

63

Sieh, 1978: good - Offset SE wall of large stream -Wall NE of fault trace mayhave sloughed some material since last movement

Sieh Offset: 9.3±0.9 m2006 field observation:9.5±0.5 mLidar determination:12.8 m ±1.0 m

63.1

Not found within the 1978 Sieh report

2006 field observation:21.1±2 mLidar determination:15.9±1.0 m

63.2

Not found with in the 1978 Sieh report

2006 field observation:10.6±1.0 mLidar determinationA= 8.9 m ±1.0mB= 25.5 m ±1.0mC=30.7 m±1.0mD=22.7 m±1.0 mT=87.7 zzzhm

Not found within the 1978 Sieh report

2006 field observation:20.8±1.0 mLidar determination:21.8±1.0

63.3 64

Sieh, 1978: good/fair - Offsetgully -Channel separated along fault - Shutter ridge in front of channel may be eroded by post 1857 run-off. Therefore this may be a minimum value. Possibility of deflection suggest that it is a max value.

Sieh Offset: 8.8±0.6 m2006 field observation23.4±1.0 mLidar determination23.9±1.0 m

Sieh, 1978: fair - Very small gully drain across fault trace at 1.2m-wide bench. Bench and alluvial deposits at bench result in imprecise offset value.

Sieh offset: 7.0±1.3 m2006 field observation:19m ±.0.5 mLidar determination:A=6.0±1B=20.7±1.5 m

65

Advanced methods for computing offset: profile cross correlation and hydrologically correct DEMs

15 10 5 0 5 10 15 20 25 30613

615

617

619

elev

atio

n (m

)

15 10 5 0 5 10 15 20 25 300

0.2

0.4

0.6

0.8

1

distance along profile(m)

norm

aliz

ed e

leva

tion

offset = 15.0 m

corduroy

One basic idea of determining offsets is to assume that the channel was similar in profile on each side of the fault, so offset determination comes from simply matching parallel profiles. In this example, I took a 25 cm DEM from the GLW at channel 62 (see above) and extracted a profile 5 m on each side of the SAF trace. The profiles correlate best with an offset of 15 m which is similar to the 15-17 m offsets determined above.

The problem is that this approach removes the geomorphological intuition that is typically employed as the observer ponders the subtle history of the channel: Was the channel perpendicular to the fault trace prior to offset? Has it been offset more than once? (Should have been in this case.) Where is the evidence for channel development between the first and second offset?

Note also the ALSM scanner parallel grooving ("corduroy") from superposition of mislocated swaths. It has an amplitude and wavelength of 20-50 cm.

Another way to have the DEMs help the tectonic geomorphologist is to produce hydrologically correct DEMs (fill pits) and then compute drainage network parameters, such as contributing area (A). Such information should help to guide the observer in semi-automatically delineating the channel network, and thus the offsets.

In this case, I show examples from channels 62 and 63.1 on 25 cm DEMs from the GLW

Channel 62 comments:1) Note that the network delineation is disrupted by the vegetation in the channel--indicating the need for vegetation filtering.2) I measured an offset of about 13 m, which is about 2 m less than the other approaches.

Channel 63 comments:1) The channel is well defined in the hillshade and in the contributing area computation.2) I measured an offset of 19 m which is in the middle of the 15-21 m measurements from the other methods.

Channel 62

Channel 62

Channel 63.1

The data are unprecedented in their power to quantitatively depict the tectonic land-forms along the SAF. We closely examined several reaches of the fault in the Carrizo Plain. We compared our estimates of 1857 and earlier offset from the field and from the B4-derived DEMs to the estimates from Sieh, 1978. Combinations of field and virtual examination provided our most confident estimates. In addition, a quantitative offset estimation using SAF spanning and parallel profiles was possible in places with higher quality obvious offsets. Broad (>several m) and shallow channels (<1 m) were difficult to confidently match with this semi-automated approach.

NW end of the Dragon’s Back

Sieh 1978 offsets in integers, new offsets interpolated with decimals between nearest Sieh offsets

corduroy

10 m

N

13 m

19 m

Profile matching via cross correlation follows method of Borsa, et al., 2001.

ConclusionsSemi-automated approaches to measurement of earthquake offsets along strike-slip faults such as the SAF using high resolution ALSM data is a promising tool for assessing fault activity, but understanding the local geomorphic his-tory still requires careful and potentially subjective consideration. These data (and high resolution imagery) enable vir-tual geomorphology and enhance a true field effort. In the area of the Bidart paleoseismic site, we measured 7 m off-sets and attribute them to the 1857 earthquake.

Future work- Extend to entire 1857 earthquake reach of SAF and provide improved esti-mate of 1857 slip variation and moment release.- Use vegetation-minimizing local minimum elevation binning algorithm for gridding (see Kim, et al. poster-- G53C-0921).- Continue semi-automatic cross correlation effort and introduce uncertainty estimation. Apply longer portions of faults to estimate reach-averaged offset.- Further idealization of landscape (half cylinders/ellipsoids to channels, etc.)- Continue to assess utility of hydrologically correct DEMs and drainage net-work parameters to improve channel detection.- Apply understanding of landscape development to simulate geomorphic modification of offset channels.

ReferencesAkciz, S. O., Grant, L. B., Arrowsmith, J R., 2006a. New and extended paleoseismological evidence for large earthquakes on the San Andreas fault at the Bidart fan site, California: Seism. Res. Lttrs., 77, 2, p. 269.

Bevis, M., Hudnut, K., Sanchez, R., Toth, C., Grejner-Brzezinska, D., Kendrick, E., Caccamise, D., Raleigh, D., Zhou, H., Shan, S., Shindle, W., Yong, A., Harvry, J., Borsa, A., Ayoub, F., Elliot, B., Shrestha, R., Carter, B., Sartori, M., Phillips, D., Coloma, F., Stark, K., 2005. The B4 Project: Scanning the San Andreas and San Jacinto Fault Zones: Eos Trans. AGU, 85(47), Fall Meet. Suppl., Abstract H34B-01.

Borsa, A., Minster, J. -B., Hudnut, K., 2001. Estimating fault Displacement from the 1999 Hector Mine earthquake using LIDAR: EOS, 82, no. 47 F270.

Crosby, C.J., Arrowsmith, J R., Frank, E., Conner, J., Memon, A., Nandigam, V., Wurman, G., Baru, C., A Geoinformatics Approach to LiDAR Data Distribution and Processing: in preparation.

Efrat Jaeger-Frank, Christopher J. Crosby, Ashraf Memon, Viswanath Nandigam, J. Ramon Arrowsmith, Jeffery Conner, Ilkay Altintas, Chaitan Baru, 2006. A Three Tier Architecture for LiDAR Interpolation and Analysis <http://dx.doi.org/10.1007/11758532_123>: Lecture Notes in Computer Science, 3993, Apr 2006, Pages 920-927,DOI: 10.1007/11758532_123.

Grant, L. B., Sieh, K., 1994. Paleoseismic Evidence of Clustered Earthquakes on the San Andreas Fault in the Carrizo Plain, California: J. Geophys. Res., 99, B4, p. 6,819-6,841.

Sieh, K. E., 1978. Slip along the San Andreas fault associated with the great 1857 earthquake: Bull. Seism. Soc. Am., 68, p. 1,421-1,448.

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T7 T8

2006 T5

T3

T4

T2

0 50 10025 Meters

0 1 20.5 Kilometers

Slope (degrees)

73

0

Offset at NW end of the Bidart site (NW of T3 and T4; Sieh #32) was measured as 18.3±0.9 m by Sieh. We measure 19.7 m of the channel thalweg parallel to the local SAF (black line) on the B4 DEM. 25 cm resolution spline-derived DEMs are from B4 dataset.

SAF

0 5 10 15 20 25 30 35 40

612

613

distance along profile(m)

elev

atio

n (m

)10 m

SAF

Xcorr offset = 7.7 m thalweg offset = 7.1 m

ABC

A: 6.75 - 7.65 mB: 8.1 mC: 10.8 - 13.5m

faultzone

BDT2

10 m

99.5 m

100

99

100

99.5 m

98.5

99.0 m

N

N

Application to Bidart site offsets in the Central Carrizo Plain: 7 m 1857 offsets

SAFT4 scar

20 m

N

0 20 40 60 80 100 120

610

612

distance along profile(m)

elev

atio

n (m

)

thalweg offset = 19.7 m

0 10 20 30 40 50 60 70617

618

619

distance along profile(m)

elev

atio

n (m

)

7.0 m offset

Offset at SE end of Bidart site (NW of T2) was measured as 9.6±1.4 m by Sieh and 7-8 m by Grant and Sieh, 1994. Alternative interpreta-tions are as much as 13.5 m. T2 offset in B4 data has thalweg offset of 7.1 m and a cross correlation offset of 7.7 m. 25 cm resolution spline-derived DEMs are from B4 dataset.

New offset channel discovered with cursory review of 0.5 m B4 DEM. This 0.5 m deep and ~10 m chan-nel is offset 7 m. 25 cm resolution spline-derived DEMs are from B4 dataset.

Grant and Sieh 1994 and Akciz, et al., 2006 trenches cut across SAF zone defined as “moletrack” in slope map

SAF

20 m SAF

N

Carrizo Plain area 1 m DEM repre-sentation of B4 data along San An-dreas Fault (Sieh 1978 offsets in yellow)

Wallace Creek

Topographic profile matching as we employ here assumes that the channel elements can be projected to a SAF-parallel plane and there offsets thus measured. It does not allow for any initial irregularities or non-orthogonality to the SAF in the channel elements. We are working on methods to improve this and fit surfaces to each side’s geomorphology that can be projected appropriately and the offset more carefully reconstructed and the uncer-tainty estimated.

N

0 2 41 Kilometers

Carrizo Plain area 1 m DEM representation of B4 data along San Andreas Fault (~380M points)

The B4 Project (an exemplary community dataset): LiDAR coverage of the Southern San Andreas and San Jacinto fault zones

N

Tools: GEON LiDAR Workflow & B4 Airborne Laser Swath Mapping dataset

The GEON LiDAR Workflow (GLW-- Crosby, et al., 2006; and Jaeger-Frank, et al., 2006) enables users to select, manipulate, process, and download Airborne Laser Swath Mapping (ALSM) point clouds and to produce various Digital Elevation Model (DEM) products using the tools of cyberinfrastructure though our collaboration with GEON (http://www.geongrid.org/science/lidar.html). We have incorporated the more than 38 billion points of the B4 survey into the GLW.

CONCEPTUAL GEON LiDAR WORKFLOW

NOTE: Process will be wrapped in an a u t h e n t i f i c a t i o n protocol that has already been developed by GEON. At login, site visitor is identified as Guest, User, or Owner of data and their permissions are set accordingly.

Point CloudProjection

Engine

Generate GRID

Interactive vegetationfiltering

Data artifact & density evaluation

Raster Calculator

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Download

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Interactive web-based Interface:Spatial and attribute based queries

Binary GRID

WebBrowser

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Visualize

VIS

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Problem: slip along the San Andreas Fault in 1857 earthquake and earlier

Important information about paleoearthquakes is recorded in the meter-scale tectonic geomorphology of fault zones. Such information is available from both the records of offset and from paleoseismic sites which are better understood with enhanced knowledge of geomorphic context. The B4 airborne laser swath mapping dataset of the topography along the San Andreas Fault (SAF) zone has enabled a spectacular new look at the 10s-of-meter scale tectonic geomorphology and is a powerful complement to field survey.

Offset stream channel along SAF in Carrizo Plain depicted in 4 cm resolution georectified aerial photo from remote control balloon system draped over 25 cm from B4 survey and GEOn Lidar workfow

Offsets along the San Andreas Fault in Southern California (Sieh, 1978). The smallest offsets in this group are attributed to the 1857 earthquake. Offsets along the northwestern portion of the Cholame segment were also studied by Lienkaemper. The south central SAF preserves numerous offset landforms that will be uniformly charaterized in detail with high resolution ALSM. The entire SAF shown in this map has been imaged with ALSM. Active faults in yellow from USGS and Vedder and Wallace, 1970.

120°0'0"W 119°0'0"W 118°0'0"W

35° 0'0"N

36°0'0"N

rating (after Sieh, 1978)

excellent

excellent/good

good

fair/good

fair

poor/fair

poor

not reported

offset (after Sieh, 1978)

40m

Active Faults (after USGS and Vedder & Wallace, 1970)

Highways

0 20 4010

Kilometers

Explanation

Cholame segment

Study area:Carrizo Segment

San Andreas Fault

N

http://activetectonics.asu.eduhttp://lidar.asu.edu

Tectonic geomorphology and earthquake geology of the 1857 reach of the San Andreas Fault: a new look from Airborne Laser Swath MappingJ Ramón ARROWSMITH1, Bryan Campbell2, Chris Crosby1, David Raleigh3

1School of Earth and Space Exploration, Arizona State Univ, Tempe, AZ 85281-1404 2Department of Geosciences, Elizabeth City State University, Elizabeth City, NC 27909

3Department of Geological Sciences, Ohio State University, Columbus, OH 43210

AcknowledgmentsSpecial thanks to our SDSC/ASU/UCSD colleagues working on the GEON LiDAR Workflow (Chaitan Baru, Efrat Jaeger, Viswanat Nandigam, Ashraf Memon, Jeff Conner, Newton Alex, and Han Kim.

Thanks also to the B4 team, Lisa Grant and Sinan Akciz, Olaf Zielke, Kelin Whipple, Kevin Eagar, David Schwartz, Nathan Toke, and Sue Selkirk for graphics oversight.

This material is based upon work supported by the National Science Foundation under grants EAR-0225543 (GEON), EAR-0409745 (Bidart paleoseismology)

& the Southern California Earth-quake Center