Evaluating Segmentation Behavior Along the Alamogordo Fault Using Remote Sensing and Field-based Datasets Article Swipe
George Pharris
,
Veronica Prush
,
John Naliboff
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.56577/sm-2023.2927
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.56577/sm-2023.2927
Earthquake magnitude scales with the length of the ruptured fault plane (Wells and Coppersmith, 1994).Regional earthquake hazard assessments therefore require an understanding of how individual fault segments may link together to produce large earthquakes.Though fault segmentation's impact on rupture has been explored along strike-slip faults, such as the San Andreas system in California (Schwartz and Coppersmith, 1984, Nishigami, 2000), similar studies along normal faults are limited (DuRoss et al., 2016).The Alamogordo fault is a segmented normal fault in the Tularosa Basin of south-central New Mexico with established seismogenic potential (Koning and Pazzaglia, 2002).A rupture along this fault would threaten critical infrastructure, such as the city of Alamogordo (population >30,000), White Sands Missile Range, and Holloman Air Force Base.Here we assess fault segmentation along the Alamogordo fault using a combination of remote sensing and field-based mapping techniques.Restricted access within the White Sands Missile Range has limited previous mapping efforts, but with the release of new statewide lidar datasets, we are able to conduct more detailed remote sensing-based neotectonic mapping.Our efforts have expanded the mapped extent of the fault by >15 km.Future work will include mapping of offset geomorphic surfaces at the northern and southern ends of the fault to verify remote mapping interpretations and integration of mapped fault geometries into the lithospheric dynamics code ASPECT to create a geodynamic model of the fault zone.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.56577/sm-2023.2927
- https://nmgs.nmt.edu/meeting/abstracts/viewPDF.cfm?aid=2927
- OA Status
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- References
- 5
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- 10
- OpenAlex ID
- https://openalex.org/W4366982880
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https://openalex.org/W4366982880Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.56577/sm-2023.2927Digital Object Identifier
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Evaluating Segmentation Behavior Along the Alamogordo Fault Using Remote Sensing and Field-based DatasetsWork title
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articleOpenAlex work type
- Language
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enPrimary language
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2023Year of publication
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2023-04-21Full publication date if available
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George Pharris, Veronica Prush, John NaliboffList of authors in order
- Landing page
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https://doi.org/10.56577/sm-2023.2927Publisher landing page
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https://nmgs.nmt.edu/meeting/abstracts/viewPDF.cfm?aid=2927Direct link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://nmgs.nmt.edu/meeting/abstracts/viewPDF.cfm?aid=2927Direct OA link when available
- Concepts
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Computer science, Segmentation, Field (mathematics), Remote sensing, Fault (geology), Artificial intelligence, Image segmentation, Geology, Seismology, Pure mathematics, MathematicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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| abstract_inverted_index.therefore | 18 |
| abstract_inverted_index.Alamogordo | 70, 106, 124 |
| abstract_inverted_index.California | 52 |
| abstract_inverted_index.Earthquake | 0 |
| abstract_inverted_index.Nishigami, | 57 |
| abstract_inverted_index.Pazzaglia, | 91 |
| abstract_inverted_index.earthquake | 15 |
| abstract_inverted_index.geodynamic | 217 |
| abstract_inverted_index.geometries | 207 |
| abstract_inverted_index.geomorphic | 186 |
| abstract_inverted_index.individual | 24 |
| abstract_inverted_index.(population | 107 |
| abstract_inverted_index.assessments | 17 |
| abstract_inverted_index.combination | 128 |
| abstract_inverted_index.established | 86 |
| abstract_inverted_index.field-based | 133 |
| abstract_inverted_index.integration | 203 |
| abstract_inverted_index.mapping.Our | 167 |
| abstract_inverted_index.neotectonic | 166 |
| abstract_inverted_index.seismogenic | 87 |
| abstract_inverted_index.strike-slip | 43 |
| abstract_inverted_index.Coppersmith, | 13, 55 |
| abstract_inverted_index.lithospheric | 210 |
| abstract_inverted_index.segmentation | 121 |
| abstract_inverted_index.sensing-based | 165 |
| abstract_inverted_index.south-central | 82 |
| abstract_inverted_index.understanding | 21 |
| abstract_inverted_index.1994).Regional | 14 |
| abstract_inverted_index.segmentation's | 35 |
| abstract_inverted_index.infrastructure, | 100 |
| abstract_inverted_index.interpretations | 201 |
| abstract_inverted_index.earthquakes.Though | 33 |
| abstract_inverted_index.techniques.Restricted | 135 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5058473869 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I207123951 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.6000000238418579 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.08704628 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |