The Spatial Model using TRIGRS to determine Rainfall-Induced Landslides in Banjarnegara, Central Java, Indonesia

https://doi.org/10.22146/jcef.55282

Agus S Muntohar(1*), Gayuh Aji Prasetyaningtiyas(2), Rokhmat Hidayat(3)

(1) Department of Civil Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, INDONESIA
(2) Department of Civil Engineering, Universitas Muhammadiyah Surakarta, Surakarta, INDONESIA Department of Civil Engineering, Chulalongkorn University, Bangkok, THAILAND
(3) SABO Research Center, Ministry of Public Work and Housing, .D.I. Yogyakarta, INDONESIA
(*) Corresponding Author

Abstract


Severe landslides followed by debris flow were recorded to have occurred on 12 December 2014 and discovered to have ruined infrastructures and buried hundreds of peoples in Karangkobar subdistrict of Banjarnegara district, Central Java. There was, however, a high rainfall of up to 200 mm per day for two days before the disaster. Therefore, this research was conducted to predict and assess the landslide area using Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability (TRIGRS) version 2.0 model to calculate the pore water pressure and safety factor (FS) during rainfall infiltration. The TRIGRS model focused on spatial analysis. The data used as input for this analysis include the DEM, geological and geotechnical properties, infiltration variables, and rainfall intensity. Meanwhile, the FS value was observed to be lowest at the initial condition before rainfall infiltration by ranging between 1 and 1.2 and distributed at the steep slope area near Jemblung. The results were validated through the back analysis of a reference landslide event and the instability in the area was confirmed to be initiated in the 3 three hours of rainfall while the hazards area occurs majorly at the steep slopes with slope angles greater than 30o after 24 hours. The simulation results showed the steep slope area with an inclination angle greater than 30o is susceptible to failure during the rainfall infiltration due to FS < 1.2 while some locations with steep slopes were likely not to fail as indicated by FS >1.2. This study generally concluded that the TRIGRS was able to predict the location of the failure when compared with the results from the field observation of the landslide occurrences.


Keywords


Landslides; Spatial; Factor of Safety; Transient; TRIGRS.

Full Text:

PDF


References

Alvioli, M. & Baum, R. L. 2016. Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface. Environmental Modelling & Software, 81, pp. 122-135. doi: 10.1016/j.envsoft.2016.04.002

Alvioli, M., Guzzetti, F. & Rossi, M. 2014. Scaling properties of rainfall induced landslides predicted by a physically based model. Geomorphology, 213, pp. 38-47. doi: 10.1016/j.geomorph.2013.12.039

Baum, R. L., Godt, J. W. & Savage, W. Z. 2010. Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration. Journal of Geophysical Research, 115(F03013), pp. 1-26. doi: 10.1029/2009jf001321

Baum, R. L., Savage, W. Z. & Godt, J. W. 2008. TRIGRS-A Fortran program for transient rainfall infiltration and grid-based regional slope-stability analysis, version 2.0. US Geological Survey,

Bordoni, M., Meisina, C., Valentino, R., Bittelli, M. & Chersich, S. 2015. Site-specific to local-scale shallow landslides triggering zones assessment using TRIGRS. Natural Hazards and Earth System Sciences, 15(5), pp. 1025-1050. doi: 10.5194/nhess-15-1025-2015

Chien, L.-K., Hsu, C.-F. & Yin, L.-C. 2015. Warning Model for Shallow Landslides Induced by Extreme Rainfall. Water, 7(12), pp. 4362-4384. doi: 10.3390/w7084362

Ciurleo, M., Mandaglio, M. C., Moraci, N. & Pitasi, A. 2018. The combined use of physically based models for the analysis of debris flow. In: Ho, K., Leung, A., Kwan, J., Koo, R. & Law, R., eds. The Second JTC1 Workshop on Triggering and Propagation of Rapid Flow-like Landslides, 3 - 5 December 2018 Hong Kong. The Hong Kong Geotechnical Society pp. 97-100

Condon, W. H., Pardyanto, L. & Ketner, K. B. 1976. Peta Geologi Lembar Banjarnegara dan Pekalongan, Jawa, skala 1:100.000., Bandung, Direktorat Geologi.

Dixon, N., Smith, A., Flint, J. A., Khanna, R., Clark, B. & Andjelkovic, M. 2018. An acoustic emission landslide early warning system for communities in low-income and middle-income countries. Landslides, 15(8), pp. 1631-1644. doi: 10.1007/s10346-018-0977-1

Fredlund, D. G. & Rahardjo, H. 1993. Soil Mechanics for Unsaturated Soils, New York, John Wiley & Sons.

Hsu, Y.-C. & Liu, K.-F. 2019. Combining TRIGRS and DEBRIS-2D Models for the Simulation of a Rainfall Infiltration Induced Shallow Landslide and Subsequent Debris Flow. Water, 11(5), pp. 890-908. doi: 10.3390/w11050890

Liu, K.-F. & Hsu, Y.-C. 2013. TRIGRS and DEBRIS-2D in Large Scale Sediment Disaster Assessment Applied in Daniao Tribe Watershed in Taiwan. International Journal of Landslide And Environment, 1(1), pp. 53-54

Muntohar, A. S., Ikhsan, J. & Liao, H. J. 2013. Influence of Rainfall Patterns on the Instability of Slopes. Civil Engineering Dimension, 15(2), pp. 120-128. doi: 10.9744/ced.15.2.120-128

Park, D. W., Nikhil, N. V. & Lee, S. R. 2013. Landslide and debris flow susceptibility zonation using TRIGRS for the 2011 Seoul landslide event. Natural Hazards and Earth System Sciences, 13(11), pp. 2833-2849. doi: 10.5194/nhess-13-2833-2013

Prasetyaingsih, G. A. 2016. Effect Soil Saturation to Slope Stability in Wanayasa Road KM. 70+350 Banjarnegara. Master Thesis, Department of Civil and Environmental Engineering, Universitas Gadjah Mada.

Saadatkhah, N., Mansor, S., Kassim, A., Lee, L. M., Saadatkhah, R. & Sobhanmanesh, A. 2016. Regional modeling of rainfall-induced landslides using TRIGRS model by incorporating plant cover effects: case study in Hulu Kelang, Malaysia. Environmental Earth Sciences, 75(5), pp. 445-465. doi: 10.1007/s12665-016-5326-x

Sorbino, G., Sica, C. & Cascini, L. 2009. Susceptibility analysis of shallow landslides source areas using physically based models. Natural Hazards, 53(2), pp. 313-332. doi: 10.1007/s11069-009-9431-y

Van-Genuchten, M. T. 1980. A Closed-form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils. Soil Science Society of American Journal, 44, pp. 892–898. doi: 10.2136/sssaj1980.03615995004400050002x

Viet, T. T., Lee, G., Thu, T. M. & An, H. U. 2017. Effect of Digital Elevation Model Resolution on Shallow Landslide Modeling Using TRIGRS. Natural Hazards Review, 18(2). doi: 10.1061/(asce)nh.1527-6996.0000233

Ward, T. J., Li, R.-M. & Simons, D. B. 1979. Mathematical modeling approach for delineating landslide hazards in watersheds. In: Humphrey, C. D., ed. The 17th Annual Engineering Geology and Soils Engineering Symposium, 4-6 April 1979 Moscow. Idaho: Division of Highway, Idaho Department of Transportation, pp. 109-142

Zhuang, J., Peng, J., Wang, G., Iqbal, J., Wang, Y., Li, W., Xu, Q. & Zhu, X. 2017. Prediction of rainfall-induced shallow landslides in the Loess Plateau, Yan'an, China, using the TRIGRS model. Earth Surface Processes and Landforms, 42(6), pp. 915-927. doi: 10.1002/esp.4050



DOI: https://doi.org/10.22146/jcef.55282

Article Metrics

Abstract views : 1108 | views : 1217

Refbacks

  • There are currently no refbacks.




Copyright (c) 2022 The Author(s)


The content of this website is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
ISSN 5249-5925 (online) | ISSN 2581-1037 (print)
Jl. Grafika No.2 Kampus UGM, Yogyakarta 55281
Email : jcef.ft@ugm.ac.id
Web Analytics JCEF Stats