Comparison of two landslide hazard zonation methods in the volcanic terrain of Temanggung Regency, Central Java, Indonesia

Authors

  • Wahyu Wilopo Geological Engineering Department, Gadjah Mada University
  • Doni Prakasa Eka Putra Geological Engineering Department, Gadjah Mada University
  • Teuku Faisal Fathani Civil and Environmental Engineering, Gadjah Mada University
  • Avantio Pramaditya Civil and Environmental Engineering, Gadjah Mada University
  • Restu Tandirerung Geological Engineering Department, Papua University
  • Egy Erzagian Civil and Environmental Engineering, Gadjah Mada University

DOI:

https://doi.org/10.15243/jdmlm.2023.103.4537

Keywords:

Landslide susceptibility map, weight of evidence, frequency ratio, Temanggung Regency

Abstract

Landslides are a recurring phenomenon that disrupts the natural environment and causes yearly property damage, economic losses, and fatalities. The damage is expected to increase due to deforestation rates, population growth, agriculture, slope-building infrastructure expansion, and global climate change. This study assesses the susceptibility to landslides through Weight of Evidence (WoE) and Frequency Ratio (FR) methods in the Temanggung Regency, Central Java Province, Indonesia, that located on the slopes of two active volcanoes. Initially, a landslide record and the input parameters of the landslide controlling factors were prepared from field surveys, remote sensing data, and secondary data and processed by a geographic information system (GIS). Six landslide parameters in thematic layer maps were selected to develop landslide susceptibility: slope, lithology type, geological structure density, land cover, and rainfall. According to the WoE and FR models, a landslide susceptibility zoning map was classified into four landslide-prone zones from low to very high. Finally, the success and predictive rate curves method confirmed the landslide susceptibility maps to check the model accuracy. The results showed that the landslide susceptibility map using the WoE method had better accuracy than the FR method, with a success rate of 78.48% and a prediction rate of 81.1%. In comparison, the FR method was 74.53% for the success rate and 78.48% for the prediction rate. These landslide susceptibility maps can be used as a guideline to develop land-use planning and landslide disaster mitigation.

Author Biographies

Wahyu Wilopo, Geological Engineering Department, Gadjah Mada University

Center for Disaster Mitigation and Technological Innovation (GAMA-InaTEK) Universitas Gadjah Mada

Doni Prakasa Eka Putra, Geological Engineering Department, Gadjah Mada University

Center for Disaster Mitigation and Technological Innovation (GAMA-InaTEK) Universitas Gadjah Mada

Teuku Faisal Fathani, Civil and Environmental Engineering, Gadjah Mada University

Center for Disaster Mitigation and Technological Innovation (GAMA-InaTEK) Universitas Gadjah Mada

Avantio Pramaditya, Civil and Environmental Engineering, Gadjah Mada University

Center for Disaster Mitigation and Technological Innovation (GAMA-InaTEK) Universitas Gadjah Mada

Egy Erzagian, Civil and Environmental Engineering, Gadjah Mada University

Center for Disaster Mitigation and Technological Innovation (GAMA-InaTEK) Universitas Gadjah Mada

References

Avinash, K.G. and Ashmanjari, K.G. 2010. A GIS and Frequency Ratio Based Landslide Susceptibility Mapping: Aghnashini River Catchment, Uttara Kannada, India. International Journal of Geomatics and Geoscience 1(3):343-353.

Cao, Y., Wei, X., Fan, W., Nan, Y., Xiong, W. and Zhang, S. 2021. Landslide susceptibility assessment using the Weight of Evidence method: A case study in Xunyang area, China. PLoS ONE 16(1): e0245668, doi:10.1371/journal. Pone.0245668

Carranza, E.J.M. 2004. Weights of evidence modeling of mineral potential: a case study using small number of prospects, Abra, Philippines. Natural Resources Research 13(3):173-187, doi:10.1023/B:NARR.0000046919.87758.f5.

Corominas, J., van Westen, C.J., Frattini, P., Cascini, L., Malet, J.P, Fotopoulou, S, Catani, F, van den Eeckhaut, M., Mavrouli, O.C, Agliardi F., Pitilakis, K., Winter, M.G, Pastor, M., Ferlisi, S., Tofani, V., Hervás, J. and Smith, J.T. 2014. Recommendations for the quantitative analysis of landslide risk, Bulletin of Engineering Geology and the Environment 73(2):209-263, doi:10.1007/s10064-013-0538-8.

Fathani, T.F., Karnawati, D. and Wilopo, W. 2014. An adaptive and sustained landslide monitoring and early warning system. In: Sassa, K., Canuti, P., and Yin. Y.(eds). Landslide Science for a Safer Geoenvironment Vol.2. Springer International Publishing. P.563-567, doi:10.1007/978-3-319-05050-8_87.

Geospatial Information Agency (BIG). 2018. DEMNAS, accessed at https://tanahair.indonesia.go.id/demnas/#/demnas on April 2021.

Geospatial Information Agency (BIG). 2021. Indonesian Digital Topographic Map. Accessed at https://portal.ina-sdi.or.id/downloadaoi/ on August 2021.

Girma, F., Raghuvanshi, T.K., Ayenew, T. and Hailemariam, T. 2015. Landslide hazard zonation in Ada Berga District, Central Ethiopia - a GIS based statistical approach. Journal of Geometry 9(1):25-38.

Gomez, H. and Kavzoglu, T. 2005. Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela. Engineering Geology 78, doi:10.1016/j.enggeo.2004.10.004.

Guerra, A.J.T., Fullen, M.A., Jorge, M.C.O. and Bezerra, J.F.R. 2016. Slope processes, mass movements, and soil erosion: a review. Pedosphere 27(1):27-41, doi:10.1016/S1002-0160(17)60294-7.

Haque, U., da Silva, P.F., Devoli, G., Pilz, J., Zhao, B., Khaloua, A., Wilopo, W., Andersen, P., Lu, P., Lee, J., Yamamoto, T., Keellings, D., Wu, J.H. and Glass, G.E. 2019. The human cost of global warming: Deadly landslides and their triggers (1995-2014). Science of The Total Environment 682:673-684, doi:10.1016/j.scitotenv.2019.03.415

Indonesia National Board for Disaster Management (BNPB). 2020. Indonesian Disaster Risk Index (IRBI), BNPB, Jakarta, 218p.

Kirkpatrick, H.M., Moon, S., Yin, A. and Harrison, T.M. 2020. Impact of fault damage on eastern Tibet topography. Geology 49(1):30-34, doi:10.1130/G48179.1.

Lee, S. and Pradhan, B. 2007. Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models. Journal Landslides 4(1):33-41, doi:10.1007/s10346-006-0047-y.

Morgan, R.P.C. 2005. Soil Erosion and Conservation: Oxford, Blackwell, 304pp. doi:10.1002/9781118786352.wbieg0381.

National Standardization Agency (BSN). 2016. SNI 8281:2016 Development and determination of landslide vulnerability zones, National Standardization Agency, Jakarta, 28p.

Nguyen, H., Mehrabi, M., Kalantar, B., Moayedi, H. and Abdullahi, M.M. 2019. Potential of hybrid evolutionary approaches for assessment of geo-hazard landslide susceptibility mapping. Geomatics, Natural Hazards and Risk 10(1):1667-1993, doi:10.1080/19475705.2019.1607782.

Nohani, E., Moharrami, M., Sharafi, S., Khosravi, K., Pradhan, B., Pham, B.T., Lee, S. and Melesse, A.M. 2019. Landslide susceptibility mapping using different GIS-based bivariate models. Water 11(7):1402, doi:10.3390/w11071402.

North, M.A.2009. A Method for Implementing a Statistically Significant Number of Data Classes in the Jenks Algorithm. 6th International Conference on Fuzzy Systems and Knowledge Discovery, doi:10.1109/FSKD.2009.319

Pradhan, B. and Lee, S. 2010. Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models. Environmental Earth Sciences 60(5):1037-1054, doi:10.1007/s12665-009-0245-8.

Raghuvanshi, T.K., Ibrahim, J. and Ayalew, D. 2014. Slope stability susceptibility evaluation parameter (SSEP) rating scheme-an approach for landslide hazard zonation. Journal of African Earth Sciences 99:595-612, doi:10.1016/j.jafrearsci.2014.05.004.

Rahman, H.A. and Mapjabil, J. 2017. Landslides disaster in Malaysia: an overview. Health and Environment Journal 2017, 8(1):58-71.

Samodra, G., Chen, G., Sartohadi, J. and Kasama, K. 2017. Comparing data-driven landslide susceptibility models based on participatory landslide inventory mapping in Purwosari area, Yogyakarta, Java. Environmental Earth Sciences 76, Article number:184 (2017), doi:10.1007/s12665-017-6475-2.

Saputra, S.E.G. , Putra, D.P.E., Atmaja, R.R.S. and Wilopo, W. 2017. Groundwater flow model of groundwater basin among volcanoes; a case study of Magelang-Temanggung groundwater basin, Central Java, Indonesia. Proceeding The 1st Annual Scientific Meeting Association of Indonesian Groundwater Experts. 16-17 November 2016, Institut Teknologi Bandung University, Bandung, Indonesia. p 1-10.

Shano, L., Raghuvanshi, T.K. and Meten, M. 2020. Landslide susceptibility evaluation and hazard zonation techniques - a review. Geoenvironmental Disasters 7:18:1-19, doi:10.1186/s40677-020-00152-0.

Statistic of Temanggung Regency (BPS Temanggung). 2021. Temanggung Regency in Figures, Statistic of Temanggung Regency, 283p.

Ul Moazzam, M.F., Vansarochana, A., Boonyanuphap, J., Choosumrong, S., Rahman, G. and Djueyep, G.P. 2020. Spatio-statistical comparative approaches for landslide susceptibility modeling: a case of Mae Phun, Uttradit Province, Thailand. SN Applied Sciences 2, Article number: 384 (2020),doi:10.1007/s42452-020-2106-8.

Van Westen, C.J., Rengers, N. and Soeters, R. 2003. Use of geomorphological information in indirect landslide susceptibility assessment. Natural Hazards 30(3):399-419, doi:10.1023/B:NHAZ.0000007097.42735.9e

Van Westen, C.J., van Asch, T.W.J. and Soeters, R. 2006. Landslide hazard and risk zonation-why is it still so difficult?. Bulletin of Engineering Geology and the Environment 65:167-184, doi:10.1007/s10064-005-0023-0.

Wang, L.J., Guo, M., Sawada, K., Lin, J. and Zhang, J. 2016. A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network. Geosciences Journal, 20(1):117-136, doi:10.1007/s12303-015-0026-1.

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Submitted

30-11-2022

Accepted

22-01-2023

Published

01-04-2023

How to Cite

Wilopo, W., Putra, D. P. E., Fathani, T. F., Pramaditya, A., Tandirerung, R., & Erzagian, E. (2023). Comparison of two landslide hazard zonation methods in the volcanic terrain of Temanggung Regency, Central Java, Indonesia. Journal of Degraded and Mining Lands Management, 10(3), 4537–4546. https://doi.org/10.15243/jdmlm.2023.103.4537

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Section

Research Article