Susceptibility Zoning of Soil Movement in Tawangmangu District, Karanganyar Regency with Bivariate Statistic Method - Weight of Evidence

https://doi.org/10.22146/jag.78754

Dwika Rizki Wirawan(1), Agung Setianto(2*), Esti Handini(3)

(1) Department of Geological Engineering, Faculty of Engineering, Universitas Gadjah Mada
(2) Department of Geological Engineering, Faculty of Engineering, Universitas Gadjah Mada
(3) Department of Geological Engineering, Faculty of Engineering, Universitas Gadjah Mada
(*) Corresponding Author

Abstract


Tawangmangu district which is located in Karanganyar Regency, Central Java is a crowded area which is susceptible to disaster. Therefore, susceptibility zoning analysis is needed to support the planning and development of the area. The method used is bivariate statistics - weight of evidence which has never been implemented in its location. There are two types of data, data of potential and soil movement case (divided into train data as 61 points and test data as 40 points); and parameter data of soil movement causes. Parameter data of soil movement is processed to be a WoE (Weight of Evidence) parameter map through the use of train data to know the weight. Later on, it will be validated based on the AUC value. If it’s > 0,60, then the process will proceed. Parameter which has AUC value > 0,60 is type of lithology, slope, hill, elevation, slope direction, distance from the fault, and index of vegetation density. All of those parameters are attached and being final validated by test data. Further, the zonation consists of four; zone of very low soil movement susceptibility, low, medium, and high. The area of the very low soil movement susceptibility zone is 19,68%. Zone of low susceptibility is mostly 24,57%. Zone of medium susceptibility is 25,88%. Meanwhile, the zone of high susceptibility is 29,86%. The result of final validation shows that AUC value from the zoning model made belongs to a good category, which is 0,757.


Keywords


Bivariate Statistics - Weight of Evidence, Soil Movement Susceptibility Zoning

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References

Adi, D.S., (2014). Pemetaan Zona Kerentanan Gerakan Massa dengan Metode Analytic Hierarchy Process (AHP) di Desa Tengklik dan Sekitarnya, Kecamatan Tawangmangu Kabupaten Karanganyar, Propinsi Jawa Tengah (Skripsi, unpublished): Jurusan Teknik Geologi. Universitas Gadjah Mada.

Badan Standardisasi Nasional, (2016) SNI Penyusunan Peta Zona Kerentanan Gerakan Tanah ,p. 28, www.bsn.go.id.

Badan Standardisasi Nasional, 2010, Spesifikasi Penyajian Peta Rupa Bumi – Bagian 2: Skala 1:25.000: Jakarta.

Chen, W., Sun, Z., Zhao, X., Lei, X., Shirzadi, A., dan Shahabi, H., 2020, Performance Evaluation and Comparison of Bivariate Statistical-Based Artificial Intelligence Algorithms for Spatial Prediction of Landslides: ISPRS International Journal of Geo Information , v. 9, p. 696, doi:10.3390/ijgi9120696.

Dinata, I.A., (2019). Panduan Pembuatan Peta Zonasi Gerakan Tanah dengan Metode Statistik Bivariate Menggunakan ArcGIS: Bandung, Geosoftware Community.

Freski, Y.R., (2017). Morphostratigraphy of Young Lawu Vulcano, Central Java and East Java Province, Indonesia in the Hazard Assessment of Future Eruption (Tesis, unpublished): Pascasarjana Teknik Geologi. Universitas Gadjah Mada.

Hand, D.J., (2009). Measuring Classifier Performance: A coherent Alternative to The Area Under The ROC Curve: Machine Learning, v. 77, p.103–123, doi:10.1007/s10994-009-5119-5.

He, Q., Shahabi, H., Shirzadi, A., Li, S., Chen, W.,Wang, N., Chai, H., Bian, H., Ma, J., Chen, Y., Wang, X., Chapi, K., and Ahmad, B.B., (2019). Landslide Spatial Modelling Using Novel Bivariate Statistical Based Naïve Bayes, RBF Classifier, and RBF Network Machine Learning Algorithms: Science of the Total Environment, v. 663, p. 1–15.

Highland, L.M., and Bobrowsky, P., (2008). The Landslide Handbook — A Guide to Understanding Landslides : U.S. Geological Survey.

Hodasová, K., and Bednarik, M., (2021). Effect of Using Various Weighting Methods in A Process of Landslide Susceptibility Assessment: Natural Hazards , v. 105, p. 481–499, doi:10.1007/s11069-020-04320-1.

Mersha, T., and Meten, M., (2020). GIS-Based Landslide Susceptibility Mapping and Assessment Using Bivariate Statistical Methods in Simada Area, Northwestern Ethiopia:Geoenvironmental Disasters, v. 7, doi:10.1186/s40677-020-00155-x.

Ozioko, O.H., and Igwe, O., (2020). GIS-Based Landslide Susceptibility Mapping Using Heuristic and bivariate Statistical Methods for IvaValley and Environs Southeast Nigeria: Environmental Monitoring and Assessment, v. 192, doi:10.1007/s10661-019-7951-9.

Pambudi, Y.W.S., Sakur, M., Ismail, K., Dwiyono, I.F., and Setijadji, L.D., (2014). Delineasi Daerah Prospek Panas Bumi Berdasarkan Kelurusan Citra Landsat dan Digital Elevation Model (DEM) DaerahGunung Lawu, Provinsi Jawa Tengah dan Jawa Timur, in Prosiding Seminar Nasional Kebumian ke-7, Sleman, Jurusan Teknik Geologi Fakultas Teknik UGM.

Pamela, Sadisun, I.A., Kartiko, R.D., dan Arifi anti, Y., (2018) Metode Kombinasi Weight of Evidence (WoE) dan Logistic Regression (LR) untuk Pemetaan Kerentanan Gerakan Tanah di Takengon, Aceh: Jurnal Lingkungan dan Bencana Geologi ,v. 9, p. 77–86.

Peraturan Menteri Kehutanan Republik Indonesia, (2012). Peraturan Menteri Kehutanan tentang Perubahan Kedua Atas Peraturan Menteri Ke hutanan Nomor P.12/Menhut-II/2012 Tata Cara Penyusunan Rencana Teknik Rehabilitasi Hutandan Lahan Daerah Aliran Sungai (RTk RHLDAS). Nomor: P12 Tahun 2010.

Poli, S., and Sterlacchini, S., (2007). Landslide Representation Strategies in Susceptibility Studies Using Weights-of-Evidence Modeling Technique: Natural Resources Research, v. 16, p. 121–134

Prasadewo, C.E., (2018). Mitigasi Terhadap Ancaman Tanah Longsor pada Jaringan Jalan di KecamatanTawangmangu, Kabupaten Karanganyar (Skripsi, unpublished): Fakultas Geografi. Universitas Gadjah Mada.

Pusat Vulkanologi dan Mitigasi Bencana Geologi, 2009, Peta Zonasi Kerentanan Gerakan Tanah Kabupaten Karanganyar, Provinsi Jawa Tengah.

Qu, F., Qiu, H., Sun, H., and Tang, M., (2021). PostFailure Landslide Change Detection and Analysis Using Optical Satellite Sentinel-2 Images:Landslides, v. 18, p. 447–455.

Ram, P., Gupta, V., Devi, M., and Vishwakarma, N.,(2020). Landslide Susceptibility Mapping Using Bivariate Statistical Method For The Hilly Township of Mussoorie and Its Surrounding Areas, Ut tarakhand Himalaya: Journal of Earth System Science, v. 129.

Sampurno, and Samodra, H., 1997, Peta Geologi Lembar Ponorogo, Jawa: Bandung, Pusat Penelitian dan Pengembangan Geologi.

Saragih, I.Y.R., (2020). Zonasi Kerentanan Gerakan Tanah dengan Metode Weight of Evidence di Kecamatan Kokap, Kabupaten Kulon Progo, Provinsi Daerah Istimewa Yogyakarta (Skripsi tidak dipublikasikan): Teknik Geologi. Universitas Gadjah Mada.

Saranaathan, S.E., Mani, S., Ramesh, V., dan Prasanna Venkatesh, S., (2020). Landslide Suscep tibility Zonation Mapping Using Bivariate Statistical Frequency Ratio method and GIS: A Case Study in Part of SH 37 Ghat Road, Nadugani, Panthalur Taluk, The Nilgiris: Journal of the Indian Society of Remote Sensing, v. 3, doi:10.1007/s12524-020-012073.

Siswanto, D., (2021). Zonasi Kerentanan Gerakan Tanah dengan Metode Weight of Evidence di Desa Jurangjero dan Desa Tancep, Kecamatan Ngawen, Kabupaten Gunungkidul, Daerah Istimewa Yogyakarta (Skripsi tidak dipublikasikan): Teknik Geologi. Universitas Gadjah Mada.

Van Zuidam, R.A. (1985). Aerial Photo Interpretation in Terrain Analysis and Geomorphologic Mapping :Enschede, Smith Publisher-The Hague.

Wirawan, D.R., Setianto, A, and Handini, E. (2022). Zonasi Kerentanan Gerakan Tanah di Kecamatan Tawangmangu, Kabupaten Karanganyar, Provinbsi Jawa Tengah Dengan Metode Statistik Bivariat Weight of Evidence. (Skripsi, unpublished): Teknik Geologi. Universitas Gadjah Mada



DOI: https://doi.org/10.22146/jag.78754

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