Evidence Based Landslide Hazard Mapping in Purworejo using Information Value Model Approach

Sudaryatno Sudaryatno, Prima Widayani, Totok Wahyu Wibowo, Bagus Wiratmoko, Wahyu Nurbandi

DOI: https://doi.org/10.23917/forgeo.v33i1.7592


Purworejo District, which is located in Central Java, Indonesia, is prone to landslides. These are a natural hazard that often occur in mountainous areas, so landslide hazard analysis is needed to develop mitigation strategies. This paper elaborates on the use of an evidence-based statistical approach using the Information Value Model (IVM) to conduct landslide hazard mapping. The parameters of slope, aspect, elevation, rainfall, NDVI, distance from rivers, distance from the road network, and distance from faults were employed for the analysis, which was conducted based on a raster data environment, since the pixel is the most appropriate means to represent continuous data. Landslide evidence data were collected by combining secondary data and interpreting satellite imagery to identify old landslides. The IVM was successfully calculated by combining factors related to disposition to landslides and data on 19 landslide occurrences. The results helped produce a landslide susceptibility map for the northern and eastern parts of Purworejo District.


landslide, hazard, Information Value Model

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Aman, S. N. A., Latif, Z. A., & Pradhan, B. (2014). Spatial probabilistic approach on landslide susceptibility assessment from high resolution sensors derived parameters. In IOP Conference Series: Earth and Environmental Science (Vol. 18, No. 1, p. 012057). IOP Publishing.

Ba, Q., Chen, Y., Deng, S., Wu, Q., Yang, J., & Zhang, J. (2017). An Improved Information Value Model Based on Gray Clustering for Landslide Susceptibility Mapping. Int. J. of Geo-Information, 6(1). https://doi.org/10.3390/ijgi6010018

BNPB. (2017). Data dan Informasi Bencana Indonesia. Available online: http://dibi.bnpb.go.id/dibi/ [5 September 2017].

Devkota, K. C., Regmi, A. D., Pourghasemi, H. R., Yoshida, K., Pradhan, B., Ryu, I. C., ... & Althuwaynee, O. F. (2013). Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya. Natural hazards, 65(1), 135-165.

GTZ. (2004). Risk Analysis – a Basis for Disaster Risk Management. Eschborn. Deutsche Gesellschaft für Technische Zusammenarbeit GmbH.

Hadmoko, D. S., Lavigne, F., Sartohadi, J., & Hadi, P. (2010). Landslide hazard and risk assessment and their application in risk management and landuse planning in eastern flank of Menoreh Mountains, Yogyakarta Province, Indonesia. Natural Hazards, 54(3), 623-642.

Hadmoko, D. S., Lavigne, F., Sartohadi, J., Gomez, C., & Daryono, D. (2017, July). Spatio-Temporal Distribution of Landslides in Java and the Triggering Factors. In Forum Geografi (Vol. 31, No. 1, pp. 1-15).

Hadmoko, D. S., Lavigne, F., & Samodra, G. (2017). Application of a semiquantitative and GIS-based statistical model to landslide susceptibility zonation in Kayangan Catchment, Java, Indonesia. Natural Hazards, 87(1), 437-468.

Kerle, N., & Damen, M. (2009). ‘Session 2: Obtaining spatial data for risk assessment’, in Westen, C.V. (ed.). Multi-hazard risk assessment. ITC.

Nugraha, H., Wacano, D., Dipayana, G. A., Cahyadi, A., Mutaqin, B. W., & Larasati, A. (2015). Geomorphometric characteristics of landslides in the Tinalah Watershed, Menoreh Mountains, Yogyakarta, Indonesia. Procedia Environmental Sciences, 28, 578-586.

Quan, He-Chun & Lee, Byung-Gul. (2012). GIS-Based Landslide Susceptibility Mapping Using Analytic Hierarchy Process and Artificial Neural Network in Jeju (Korea). KSCE Journal of Civil Engineering, 16(7), 1258-1266. https://doi.org/10.1007/s12205-012-1242-0

Rajakumar, P., Sanjeevi, S., Jayaseelan, S., Isakkipandian, G., Edwin, M., Balaji, P., & Ehanthalingam, G. (2007). Landslide susceptibility mapping in a hilly terrain using remote sensing and GIS. Journal of the Indian Society of Remote Sensing, 35(1), 31-42.

Saputra, A., Sartohadi, J., Hadmoko, D. S., & Gomez, C. (2016, February). Geospatial Assessment of Coseismic Landslides in Baturagung Area. In Forum Geografi (Vol. 29, No. 2, pp. 99-114).

Sharma, L. P., Patel, N., Ghose, M. K., & Debnath, P. (2015). Development and application of Shannon’s entropy integrated information value model for landslide susceptibility assessment and zonation in Sikkim Himalayas in India. Natural hazards, 75(2), 1555-1576.

Wu, Z., Wu, Y., Yang, Y., Chen., F., Zhang, N., Ke, Y., & Li, W. (2017). A comparative study on the landslide susceptibility mapping using logistic regression and statistical index models. Arabian J Geosciences, 10(187), 1-17. http://dx.doi.org/10.1007%2Fs12517-017-2961-9

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1. Multiple linear regression analysis of remote sensing data for determining vulnerability factors of landslide in PURWOREJO
Sudaryatno, Prima Widayani, Totok Wahyu Wibowo, Bayu Aji Sidiq Pramono, Zulfa Nur’aini ‘Afifah, Awit Dini Meikasari, Muhammad Rizki Firdaus
IOP Conference Series: Earth and Environmental Science  vol: 500  first page: 012046  year: 2020  
doi: 10.1088/1755-1315/500/1/012046


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