Probability of Road Interruption due to Landslides under Different Rainfall-Return Periods Using Remote Sensing Techniques
Publication: Journal of Performance of Constructed Facilities
Volume 30, Issue 1
Abstract
Heavy rainfall-induced landslides along mountain routes in Taiwan easily cause road interruption, especially under extreme rainfall conditions. Road interruption due to rainfall-induced landslides is a major problem for Taiwanese authorities. In this study, remote sensing data, including satellite images and aerial photos, were employed to interpret landslides, which were mapped using geographical information systems (GISs). The goal was an event-based landslide inventory. Causative and triggering factors for landslides were adopted in a logistic model to predict landslide occurrence. These factors included lithology, normalized difference vegetation index, slope gradient, slope roughness, maximum elevation, total curvature, total slope height, maximum hourly rainfall, and total accumulated rainfall. With the proposed landslide prediction model, the probability of road interruption due to rainfall-induced landslides was evaluated under different rainfall-return periods. The model was confirmed by careful validation of reported historical events involving road interruption caused by subsequent typhoons. Validation results indicated that the landslide prediction model can be used in predicting road interruption due to rainfall-induced landslides.
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Acknowledgments
This study was supported under a project carried out by the Taiwan Soil and Water Conservation Bureau. In addition, thanks are due to the Taiwan Central Geologic Survey for providing the landslide susceptibility map. Special thanks go to SinoTech Engineering Consultants, Inc., for its assistance and cooperation and for the personnel and employees who participated in the study.
References
Bai, S. B., Wang, J., Guo, N. L., Zhou, P. G., Hou, S. S., and Xu, S. N. (2010). “GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area.” China Geomorphol., 115, 23–31.
Caine, N. (1980). “The rainfall intensity–duration control of shallow landslides and debris flows.” Geogr. Ann., 62A(1–2), 23–27.
Cardinali, M., Galli, M., Guzzetti, F., Ardizzone, F., Reichenbach, P., and Bartoccini, P. (2006). “Rainfall induced landslides in December 2004 in south-western Umbria, central Italy: Types, extent, damage and risk assessment.” Nat. Hazards Earth Syst. Sci., 6(2), 237–260.
Chowdhury, R., and Flentje, P. (2002). “Uncertainties in rainfall-induced landslide hazard.” Q. J. Eng. Geol. Hydrogeol., 35(1), 61–70.
Das, I., Sahoo, S., Van Westen, C., Stein, A., and Hack, R. (2010). “Landslide susceptibility assessment using logistic regression and its comparison with a rock mass classification system, along a road section in the northern Himalayas (India).” Geomorphology, 114(4), 627–637.
Disrud, L. A. (1970). “Magnitude, probability and effect on kinetic energy of winds associated with rains in Kansas.” Trans. Kansas Acad. Sci., 73(2), 237–246.
Lan, H., Zhou, C., Lee, C. F., Wang, S., and Wu, F. (2003). “Rainfall-induced landslide stability analysis in response to transient pore pressure—A case study of natural terrain landslide in Hong Kong.” Sci. China Ser. E Technol. Sci., 46, 52–68.
Lee, C. T., Huang, C. C., Lee, J. F., Pan, K. L., Lin, M. L., and Dong, J. J. (2008). “Statistical approach to storm event-induced landslides susceptibility.” Nat. Hazards Earth Syst. Sci., 8(4), 941–960.
Lyles, L., Disrud, L. A., and Woodruff, N. P. (1969). “Effects of soil physical properties, rainfall characteristics, and wind velocity on clod disintegration by simulated rainfall.” Soil Sci. Soc. Amer. Proc., 33(2), 302–306.
Nandi, A., and Shakoor, A. (2009). “A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses.” Eng. Geol., 110(1–2), 11–20.
Oh, H. J., and Lee, S. (2010). “Cross-validation of logistic regression model for landslide susceptibility mapping at Geneoung areas, Korea.” Disaster Adv., 3(2), 44–55.
Paruelo, J. M., Garbulsky, M. F., Guerschman, J. P., and Jobbagy, E. G. (2004). “Two decades of normalized difference vegetation index changes in South America: Identifying the imprint of global change.” Int. J. Remote Sens., 25(14), 2793–2806.
Thapa, P. B., and Esaki, T. (2007). GIS-based quantitative landslide hazard prediction modelling in natural hillslope, Agra Khola watershed, central Nepal, Vol. 10, Bulletin of the Dept. of Geology, Tribhuvan Univ., Kathmandu, Nepal, 63–70.
Wang, L. J., Sawada, K., and Moriguchi, S. (2013). “Landslide susceptibility analysis with logistic regression model based on FCM sampling strategy.” Comput. Geosci., 57, 81–92.
Wilson, J. P., and Gallant, J. C. (2000). Terrain analysis: Principles and applications, Wiley, 479.
Yang, S. R., Shen, C. W., Huang, C. M., Lee, C. T., Cheng, C. T., and Chen, C. Y. (2012). “Prediction of mountain road closure due to rainfall-induced landslides.” J. Perform. Constr. Facil., 197–202.
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© 2015 American Society of Civil Engineers.
History
Received: Mar 4, 2014
Accepted: Dec 9, 2014
Published online: Feb 11, 2015
Discussion open until: Jul 11, 2015
Published in print: Feb 1, 2016
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