A GIS-Based Framework for Real-Time Debris-Flow Hazard Assessment for Expressways in Korea

Abstract

Debris flows caused by heavy rainfall in mountain areas near expressways lead to severe social and economic losses and sometimes result in casualties. Therefore, the development of a real-time system for debris-flow hazard assessment is necessary to provide preliminary information for rapid decision making about evacuations or restoration measures, as well as to prevent secondary disasters caused by debris flows. Recently, various map-based approaches have been proposed using multi-attribute criteria and assessment methods for debris-flow susceptibilities. For the macrozonation of debris-flow hazard at a national scale, a simplified method such as the Korea Expressway Corporation (KEC) debris-flow hazard assessment method can be applied for systematic analysis based on geographic information systems (GIS) and monitoring networks. In this study, a GIS-based framework of real-time debris-flow hazard assessment for expressway sections is proposed based on the KEC debris-flow hazard assessment method. First, the KEC-based method was standardized in a systematic fashion using ArcGIS, enabling the objective and quantitative acquisition of various attribute datasets. The quantification of rainfall criteria also was considered. A safety management system for debris-flow hazard was developed based on the GIS platform. Finally, the method was applied and verified on three expressway sections in Korea. The grading standard for each individual influencing attribute was subsequently modified to more accurately assess the debris-flow hazards.

Keywords

Debris-flow hazard / Expressway management / GIS / Korea / Real-time hazard assessment

References

[1] Ayalew L, Yamagishi H, Ugawa N. Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan. Landslides, 2004, 1(1): 73-81

[2] Ayalew L, Yamagishi H. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology, 2005, 65(1): 15-31

[3] Blahut J, Horton P, Sterlacchini S, Jaboyedoff M. Debris flow hazard modelling on medium scale: Valtellina di Tirano, Italy. Natural Hazards and Earth System Sciences, 2010, 10(11): 2379-2390

[4] Carrara A, Guzzetti F, Cardinali M, Reichenbach P. Use of GIS technology in the prediction and monitoring of landslide hazard. Natural Hazards, 1999, 20: 117-135

[5] Choi, J.S., J.W. Jeong, O.G. Kwon, C.K. Chung, and S.D. Lee. 2015. Simulation of debris-flow early warning using real time rainfall monitoring. Proceedings of 2015 KGS Spring National Conference, 19–20 March 2015, Seoul, Korea, 25–29.

[6] Dai FC, Lee CF. Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology, 2002, 42(3): 213-228

[7] Esri Arc Hydro, 2002, California: Esri Press

[8] Esri ArcGIS 9: Using ArcGIS Desktop, 2006, California: Esri Press

[9] Feusto G, Alberto C, Mauro C, Paola R. Landslide hazard evaluation: A review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology, 1999, 31: 181-216

[10] Ham DH, Hwang SH. Review of landslide forecast standard suitability by analysing landslide-inducing rainfall. Journal of Korean Society of Hazard Mitigation, 2014, 14(3): 299-310

[11] Hungr O, Evans SG, Bovis MJ, Hutchinson JN. A review of the classification of landslides of the flow type. Environmental & Engineering Geoscience, 2001, 7(3): 221-238

[12] Iverson RM. Landslide triggering by rain infiltration. Water Resources Research, 2000, 36(7): 1897-1910

[13] Jakob M, Hungr O. Debris-flow hazards and related phenomena, 2005, New York: Springer

[14] Keller EA, DeVecchio DE. Natural hazards: Earth’s processes as hazards, disasters, and catastrophes, 2008 2 New Jersey: Prentice Hall

[15] Kim, K.S. 2012. Analysis of rainfall characteristics inducing shallow failure of road cut slope. Ph.D. Dissertation, Seoul National University, Seoul.

[16] Kim, S.R., H.S. Kim, G.S. Kim, and C.K. Chung. 2014. Debris-flow risk assessment along expressways in Korea using GIS. Proceedings of Geohazards 2014, 20–21 November 2014, Kathmandu, Nepal, 159–164.

[17] Korea Expressway Corporation (KEC). Expressway and Transportation Research Institute. 2009. Development of debris flow hazard analysis method and its application. Expressway and Transportation Research Institute Research Report.

[18] Kritikos T, Davies T. Assessment of rainfall-generated shallow landslide/debris-flow susceptibility and runout using a GIS-based approach: Application to western Southern Alps of New Zealand. Landslides, 2015, 12(6): 1051-1075

[19] Lee J, Wong DWS. Statistical analysis with ArcView GIS, 2001, Toronto, ON: Wiley

[20] Lee S, Pradhan B. Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models. Landslides, 2007, 4: 33-41

[21] Lee SW, Kim GH, Yune CY, Ryu HJ, Hong SJ. Development of landslide-risk prediction model through database construction. Journal of Korea Geotechnical Society, 2012, 28(4): 23-33

[22] Lin PS, Lin JY, Hung JC, Yang MD. Assessing debris flow hazard in a watershed in Taiwan. Engineering Geology, 2002, 66: 295-313

[23] Oh JR, Park HJ. Establishment of landslide rainfall threshold for risk assessment in Gangwon area. Journal of Korean Society of Hazard Mitigation, 2013, 13(3): 43-51

[24] Ohlmacher GC, Davis JC. Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA. Engineering Geology, 2003, 69(3–4): 331-343

[25] Olivera F, Furnans J, Maidment D, Djokic D, Ye Z. Drainage systems, ArcHydro: GIS for water resource, 2002, Redlands, CA: ESRI Press

[26] Olivera F, Maidment D, Honeycutt D. Hydro networks, ArcHydro: GIS for water resource, 2002, Redlands, CA: ESRI Press

[27] Park DW, Nikhil NV, Lee SR. Landslide and debris flow susceptibility zonation using TRIGRS for the 2011 Seoul landslide event. Natural Hazards and Earth System Sciences, 2013, 13: 2833-2849

[28] Paulín GL, Bursik M, Hubp JL, Mejía LMP, Quesada FA. A GIS method for landslide inventory and susceptibility mapping in the Río El Estado watershed, Pico de Orizaba volcano, México. Natural hazards, 2014, 71(1): 229-241

[29] Wang C, Li S, Esaki T. GIS-based two-dimensional numerical simulation of rainfall-induced debris flow. Natural Hazards and Earth System Sciences, 2008, 8: 47-58

[30] Yoo NJ, Yoon DH, Um JK, Kim DG, Park BS. Analysis of rainfall characteristics and landslides at the west side area of Gangwon Province. Journal of the Korean Geo-Environmental Society, 2012, 13(9): 75-82.

[31] Yune CY, Jun KJ, Kim KS, Kim GH, Lee SW. Analysis of slope hazard-triggering rainfall characteristics in Gangwon Province by database construction. Journal of the Korean Geo-Environmental Society, 2010, 26(10): 27-38.