Eighth International Conference on Case Histories in Geotechnical Engineering
Development of a Probabilistic Spatio-Magnitude Sinkhole Hazard Model
Publication: Geo-Congress 2019: Engineering Geology, Site Characterization, and Geophysics (GSP 311)
ABSTRACT
A number of sinkhole events have emerged in East Central Florida (ECF) and the consequences of its occurrence lead to loss of property and/or human lives. Increasing concerns for the potential risk of sinkholes have raised the necessity of developing a sinkhole hazard map for the region. A sinkhole hazard can be assessed as the probability of occurrence accounting for time, location, and magnitude. This paper presents the development of 1) a probability-based sinkhole hazard model and 2) a spatio-magnitude sinkhole hazard map for ECF within a geographic information system (GIS) environment. Logistic regression (LR) method was used for the spatial probability analysis and a cumulative distribution function (CDF) method was used for the magnitude probability analysis. The developed sinkhole hazard model was validated by existing data. The probabilistic sinkhole map for ECF would provide useful information on future sinkhole hazard in order for decision makers and land-use planners to build suitable strategies for long-term development.
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ACKNOWLEDGEMENT
This work was partially supported by National Research Foundation of Korea (NRF) funded by Ministry of Science, ICT & Future Planning (NRF-2016R1C1B2013478)
REFERENCES
EasyFit (2018). "Mathwave: Data Analysis and Simulation Software." <http://www.mathwave.com/help/easyfit/html/analyses/distributions/_continuous.html>. (April 2, 2018).
FLOIR (2010). "Report on Review of the 2010 Sinkhole Data Call." <http://www.floir.com/siteDocuments/Sinkholes/2010_Sinkhole_Data_Call_Report.pdf>. (July 3, 2017).
Helsel, D. R., and Hirsch, R. M. (2002). Statistical Methods in Water Resources, U.S. Geological Survey, Amsterdam; New York.
Kim, Y., and Nam, B. H. "A Comparative Study of Karst Sinkhole Hazard Mapping Using Frequency Ratio and Artificial Neural Network for East Central Florida." Proc., 15th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst, Shepherdstown, WV.
Kim, Y. J., and Nam, B. H. (2017). "Sinkhole Hazard Mapping Using Frequency Ratio and Logistic Regression Models for Central Florida." Geo-Risk 2017, 246-256.
Kim, Y. J., Xiao, H., Wang, D., Choi, Y. W., and Nam, B. H. (2017). "Development of Sinkhole Hazard Mapping for Central Florida." Geotechnical Frontiers 2017, 459-468.
Kuniansky, E. L., Weary, D. J., and Kaufmann, J. E. (2016). "The current status of mapping karst areas and availability of public sinkhole-risk resources in karst terrains of the United States." Hydrogeology Journal, 24(3), 613-624.
Lee, S. (2005). "Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data." International Journal of Remote Sensing, 26(7), 1477-1491.
Stewart, M. T., and Parker, J. (1991). "Localization and seasonal variation in recharge in a covered karst aquifer system, Florida, USA."
Tihansky, A. B. (1999). "Sinkholes, west-central Florida." Land subsidence in the United States: US geological survey circular, 1182, 121-140.
Information & Authors
Information
Published In
Geo-Congress 2019: Engineering Geology, Site Characterization, and Geophysics (GSP 311)
Pages: 81 - 90
Editors: Christopher L. Meehan, Ph.D., University of Delaware, Sanjeev Kumar, Ph.D., Southern Illinois University Carbondale, Miguel A. Pando, Ph.D., University of North Carolina Charlotte, and Joseph T. Coe, Ph.D., Temple University
ISBN (Online): 978-0-7844-8213-1
Copyright
© 2019 American Society of Civil Engineers.
History
Published online: Mar 21, 2019
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