1. Home
  2. Vol 9, No 4 (2023)
  3. Agung

Compilation of Parameter Control for Mapping the Potential Landslide Areas

P. A. Maha Agung, M. F. Rouf Hasan, Adi Susilo, Mustaffa A. Ahmad, Mohd. J. Bin Ahmad, U. A. Abdurrahman, A. T. Sudjianto, Eko Andi Suryo

Abstract


Batu Tourism City is located in a mountainous area, so based on information from the BNPB, it has quite a large potential for landslides. Landslide hazards can frequently disrupt public traffic due to road cuts. Landslide mapping digitally will contribute to handling and mitigation activities since the database can be updated in real time to anticipate landslide hazards. This study aims to map landslide-prone areas located in the Payung zone, Songgokerto Village, and Batu City. Landslide areas can be determined by mapping analysis using GIS software. GIS can determine the classification level for a landslide susceptible area. Some input data that will influence landslides, such as rainfall, wind, earthquakes, etc., was collected as the control parameters. All parts of the study area could be classified as areas with minor, medium, and major potential for landslides. Primary data are collected from geo-surveying (aerial images) using drone devices for interpretation of landslide susceptibility areas, geophysical to identify the type of soil or rock layers that completed their behavior, and slip planes as well using geo-electric, geotechnical engineering to predict slope stability with the correlation from cone penetration test (CPT) data, and geo-hydraulic to observe the rainfall and the catchment area model using the available secondary data. Geometrically, measurement data found that the average slope angle at the upper and lower of the East Java Province highway is around 40–50o. Studies from geophysical data identified that the hilly terrain in the object study area has been dominated by the weathered rock layer. Geotechnical data obtained shows the soil layers at the slope location will be stable with the water content under 35% during the dry season and may become unstable with the water content reaching over 50% due to the increase in saturation during the rainy season. The landslide that occurred was more caused by seepage behavior from surface water flow towards the sloping plane, and then the safety factor during the rainy season reached the critical values at SF = 0.58. During the dry season, the unsaturated process due to the temperature change generates a safety factor (SF) of more than 1.2. The compilation data produced maps of susceptible landslides and surface flow distribution.

 

Doi: 10.28991/CEJ-2023-09-04-016

Full Text: PDF


Keywords


Parameter Data Collection, Quantitative & Quantitative Analysis, Surface Flow Distribution, Susceptible Landslide Mapping.

References


Depicker, A., Jacobs, L., Delvaux, D., Havenith, H. B., Maki Mateso, J. C., Govers, G., & Dewitte, O. (2020). The added value of a regional landslide susceptibility assessment: The western branch of the East African Rift. Geomorphology, 353, 106886. doi:10.1016/j.geomorph.2019.106886.

Steger, S., Mair, V., Kofler, C., Pittore, M., Zebisch, M., & Schneiderbauer, S. (2021). Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling – Benefits of exploring landslide data collection effects. Science of the Total Environment, 776, 145935. doi:10.1016/j.scitotenv.2021.145935.

Li, B., Wang, N., & Chen, J. (2021). GIS-Based Landslide Susceptibility Mapping Using Information, Frequency Ratio, and Artificial Neural Network Methods in Qinghai Province, Northwestern China. Advances in Civil Engineering, 2021(4758062), 1–14. doi:10.1155/2021/4758062.

Girma, F., Raghuvanshi, T. K., Ayenew, T., & Hailemariam, T. (2015). Landslide hazard zonation in Ada Berga district, Central ethiopia- A GIS based statistical approach. Journal of Geomatics, 9(1), 25–38.

Hearn, G. J., & Hart, A. B. (2019). Landslide susceptibility mapping: a practitioner’s view. Bulletin of Engineering Geology and the Environment, 78(8), 5811–5826. doi:10.1007/s10064-019-01506-1.

Information and Documentation Management Officer Batu City. (2022). Administrative Boundary Map of Batu City. Batu City Government, Batu, Indonesia. Available online: https://ppid.batukota.go.id/daftar_informasi (accessed on March 2023).

Hasan, M. F. R., Pradiptiya, A., Setiawan, Y., Agung, P. A. M., Susilo, A., & Sunaryo. (2022). Detection of groundwater sources in Lembor village using geoelectrical resistivity method schlumberger configuration. IOP Conference Series: Earth and Environmental Science, 1116(1), 012051. doi:10.1088/1755-1315/1116/1/012051.

Monsieurs, E., Dewitte, O., & Demoulin, A. (2019). A susceptibility-based rainfall threshold approach for landslide occurrence. Natural Hazards and Earth System Sciences, 19(4), 775–789. doi:10.5194/nhess-19-775-2019.

Fayez, L., Pazhman, D., Pham, B. T., Dholakia, M. B., Solanki, H. A., Khalid, M., & Prakash, I. (2018). Application of Frequency Ratio Model for the Development of Landslide Susceptibility Mapping at Part of Uttarakhand State, India. International Journal of Applied Engineering Research, 13(9), 6846–6854.

Santosa, S., & Atmawinata, S. (1992). Geological Map of The Kediri Quadrangle, Jawa. Geological Research and Development Centre, Bandung, Indonesia.

Hasan, M. F. R., Salimah, A., Susilo, A., Rahmat, A., Nurtanto, M., & Martina, N. (2022). Identification of Landslide Area Using Geoelectrical Resistivity Method as Disaster Mitigation Strategy. International Journal on Advanced Science, Engineering and Information Technology, 12(4), 1484–1490. doi:10.18517/ijaseit.12.4.14694.

Iverson, R. M. (2000). Landslide triggering by rain infiltration. Water Resources Research, 36(7), 1897–1910. doi:10.1029/2000WR900090.

Kanungo, D. P., Pain, A., & Sharma, S. (2013). Finite element modeling approach to assess the stability of debris and rock slopes: A case study from the Indian Himalayas. Natural Hazards, 69(1), 1–24. doi:10.1007/s11069-013-0680-4.

Mersha, T., & Meten, M. (2020). GIS-based landslide susceptibility mapping and assessment using bivariate statistical methods in Simada area, northwestern Ethiopia. Geoenvironmental Disasters, 7(1), 1–22. doi:10.1186/s40677-020-00155-x.

He, W., Chen, K., Hayatdavoudi, A., Sawant, K., & Lomas, M. (2019). Effects of clay content, cement and mineral composition characteristics on sandstone rock strength and deformability behaviors. Journal of Petroleum Science and Engineering, 176, 962–969. doi:10.1016/j.petrol.2019.02.016.

Pan, X., Nakamura, H., Nozaki, T., & Huang, X. (2008). A GIS-based landslide hazard assessment by multivariate analysis. Journal of the Japan Landslide Society, 45(3), 187–195. doi:10.3313/jls.45.187.

Pardeshi, S. D., Autade, S. E., & Pardeshi, S. S. (2013). Landslide hazard assessment: Recent trends and techniques. SpringerPlus, 2(1), 1–11. doi:10.1186/2193-1801-2-523.

Parise, M., & Jibson, R. W. (2000). A seismic landslide susceptibility rating of geologic units based on analysis of characterstics of landslides triggered by the 17 January, 1994 Northridge, California earthquake. Engineering Geology, 58(3–4), 251–270. doi:10.1016/S0013-7952(00)00038-7.

Peng, L., Niu, R., Huang, B., Wu, X., Zhao, Y., & Ye, R. (2014). Landslide susceptibility mapping based on rough set theory and support vector machines: A case of the Three Gorges area, China. Geomorphology, 204, 287–301. doi:10.1016/j.geomorph.2013.08.013.

Turner, A. K., & Jayaprakash, G. P. (1996). Landslides: Investigation and Mitigation. Transportation Research Board, Washington, United States.

Vakhshoori, V., & Zare, M. (2016). Landslide susceptibility mapping by comparing weight of evidence, fuzzy logic, and frequency ratio methods. Geomatics, Natural Hazards and Risk, 7(5), 1731–1752. doi:10.1080/19475705.2016.1144655.

Vojteková, J., & Vojtek, M. (2020). Assessment of landslide susceptibility at a local spatial scale applying the multi-criteria analysis and GIS: a case study from Slovakia. Geomatics, Natural Hazards and Risk, 11(1), 131–148. doi:10.1080/19475705.2020.1713233.

Wei, Z., Yin, G., Wang, J. G., Wan, L., & Jin, L. (2012). Stability analysis and supporting system design of a high-steep cut soil slope on an ancient landslide during highway construction of Tehran-Chalus. Environmental Earth Sciences, 67(6), 1651–1662. doi:10.1007/s12665-012-1606-2.

Woldearegay, K. (2013). Review of the occurrences and influencing factors of landslides in the highlands of Ethiopia: With implications for infrastructural development. Momona Ethiopian Journal of Science, 5(1), 3. doi:10.4314/mejs.v5i1.85329.

Xu, J. (2011). Debris slope stability analysis using three-dimensional finite element method based on maximum shear stress theory. Environmental Earth Sciences, 64(8), 2215–2222. doi:10.1007/s12665-011-1049-1.

Picarelli, L., Urciuoli, G., Mandolini, A., & Ramondini, M. (2006). Softening and instability of natural slopes in highly fissured plastic clay shales. Natural Hazards and Earth System Sciences, 6(4), 529–539. doi:10.5194/nhess-6-529-2006.

Springman, S. M., Thielen, A., Kienzler, P., & Friedel, S. (2013). A long-term field study for the investigation of rainfall-induced landslides. Geotechnique, 63(14), 1177–1193. doi:10.1680/geot.11.P.142.

Tomaszewski, B. (2020). Geographic Information Systems (GIS) for Disaster Management (2nd Ed.). Routledge, New York, United States. doi:10.4324/9781351034869.


Full Text: PDF

DOI: 10.28991/CEJ-2023-09-04-016

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Copyright (c) 2023 Putera Agung Maha Agung, Muhammad Fathur Rouf Hasan, Mustaffa Anjang Ahmad, Mohd. Juraidi Bin Ahmad, Umar Alfaruqi Abdurrahman, Agus Tugas Sudjianto, Adi Susilo

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
x
Message