Spatio-temporal distribution of Oklahoma earthquakes: Exploring relationships using a nearest-neighbor approach: Nearest-neighbor analysis of Oklahoma
Abstract
Determining the spatiotemporal characteristics of natural and induced seismic events holds the opportunity to gain new insights into why these events occur. Linking the seismicity characteristics with other geologic, geographic, natural, or anthropogenic factors could help to identify the causes and suggest mitigation strategies that reduce the risk associated with such events. The nearest-neighbor approach utilized in this work represents a practical first step toward identifying statistically correlated clusters of recorded earthquake events. Detailed study of the Oklahoma earthquake catalog’s inherent errors, empirical model parameters, and model assumptions is presented. We found that the cluster analysis results are stable with respect to empirical parameters (e.g., fractal dimension) but were sensitive to epicenter location errors and seismicity rates. Most critically, we show that the patterns in the distribution of earthquake clusters in Oklahoma are primarily defined by spatial relationships between events. This observation is a stark contrast to California (also known for induced seismicity) where a comparable cluster distribution is defined by both spatial and temporal interactions between events. These results highlight the difficulty in understanding the mechanisms and behavior of induced seismicity but provide insights for future work.
- Authors:
-
[1];
- National Energy Technology Lab. (NETL), Albany, OR (United States); Oak Ridge Inst. for Science and Education (ORISE), Oak Ridge, TN (United States)
- National Energy Technology Lab. (NETL), Albany, OR (United States)
- Publication Date:
- Research Org.:
- National Energy Technology Lab. (NETL), Albany, OR (United States). In-house Research
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1369245
- Alternate Identifier(s):
- OSTI ID: 1375065
- Report Number(s):
- NETL-PUB-20788
Journal ID: ISSN 2169-9313
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Geophysical Research. Solid Earth
- Additional Journal Information:
- Journal Volume: 122; Journal Issue: 7; Journal ID: ISSN 2169-9313
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES; cluster analysis, natural and induced seismicity, nearest-neighbor approach
Citation Formats
Vasylkivska, Veronika S., and Huerta, Nicolas J. Spatio-temporal distribution of Oklahoma earthquakes: Exploring relationships using a nearest-neighbor approach: Nearest-neighbor analysis of Oklahoma. United States: N. p., 2017.
Web. doi:10.1002/2016JB013918.
Vasylkivska, Veronika S., & Huerta, Nicolas J. Spatio-temporal distribution of Oklahoma earthquakes: Exploring relationships using a nearest-neighbor approach: Nearest-neighbor analysis of Oklahoma. United States. https://doi.org/10.1002/2016JB013918
Vasylkivska, Veronika S., and Huerta, Nicolas J. Sat .
"Spatio-temporal distribution of Oklahoma earthquakes: Exploring relationships using a nearest-neighbor approach: Nearest-neighbor analysis of Oklahoma". United States. https://doi.org/10.1002/2016JB013918. https://www.osti.gov/servlets/purl/1369245.
@article{osti_1369245,
title = {Spatio-temporal distribution of Oklahoma earthquakes: Exploring relationships using a nearest-neighbor approach: Nearest-neighbor analysis of Oklahoma},
author = {Vasylkivska, Veronika S. and Huerta, Nicolas J.},
abstractNote = {Determining the spatiotemporal characteristics of natural and induced seismic events holds the opportunity to gain new insights into why these events occur. Linking the seismicity characteristics with other geologic, geographic, natural, or anthropogenic factors could help to identify the causes and suggest mitigation strategies that reduce the risk associated with such events. The nearest-neighbor approach utilized in this work represents a practical first step toward identifying statistically correlated clusters of recorded earthquake events. Detailed study of the Oklahoma earthquake catalog’s inherent errors, empirical model parameters, and model assumptions is presented. We found that the cluster analysis results are stable with respect to empirical parameters (e.g., fractal dimension) but were sensitive to epicenter location errors and seismicity rates. Most critically, we show that the patterns in the distribution of earthquake clusters in Oklahoma are primarily defined by spatial relationships between events. This observation is a stark contrast to California (also known for induced seismicity) where a comparable cluster distribution is defined by both spatial and temporal interactions between events. These results highlight the difficulty in understanding the mechanisms and behavior of induced seismicity but provide insights for future work.},
doi = {10.1002/2016JB013918},
journal = {Journal of Geophysical Research. Solid Earth},
number = 7,
volume = 122,
place = {United States},
year = {Sat Jun 24 00:00:00 EDT 2017},
month = {Sat Jun 24 00:00:00 EDT 2017}
}
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Works referencing / citing this record:
Narrow Spatial Aftershock Zones for Induced Earthquake Sequences in Oklahoma
journal, September 2019
- Rosson, Z.; Walter, J. I.; Goebel, T.
- Geophysical Research Letters, Vol. 46, Issue 17-18
Probabilistic identification of earthquake clusters using rescaled nearest neighbour distance networks
journal, January 2019
- Bayliss, Kirsty; Naylor, Mark; Main, Ian G.
- Geophysical Journal International, Vol. 217, Issue 1
Cumulative spatial impact layers: A novel multivariate spatio‐temporal analytical summarization tool
journal, June 2019
- Romeo, Lucy; Nelson, Jake; Wingo, Patrick
- Transactions in GIS, Vol. 23, Issue 5