Mapping Landslide Susceptibility Areas Using GIS Analysis in Cilawu Sub-district, Garut, West Java
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Keywords:
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Cilawu Sub-district, Geographic Information System, Landslide Susceptibility, Mapping, Overlay Analysis
Abstract
A landslide is the movement of soil mass down a slope. Landslides can be influenced by some factors including rainfall, soil type, land slope, land cover, and human activities. Cilawu Sub district, Garut, West Java is one of the most frequently experienced landslide areas which cause severe losses. This mapping aims to provide information about the landslide susceptibility areas in Cilawu Sub-district, Garut, West Java by using a Geographic Information System (GIS). This study used Digital Elevation Model (DEM) image, Landsat image, rainfall, geology, and soil types data which were then mapped using ArcGIS software. The analysis process used the overlay method, scoring method, and weighting method. The final result was a landslide map with 4 susceptibility levels covering low susceptibility, medium susceptibility, high susceptibility, and very high susceptibility. Based on this analysis, Cilawu District was dominated by the following classes: high susceptibility with an area of 5470.07 Ha, medium susceptibility with an area of 1627.78 Ha, very high susceptibility with an area of 515.96 Ha, and low susceptibility with an area of 366.16 Ha.
References
Alzwar, M., N. Akbar, and S. Bachri (1992). Geological Map of the Garut dan Pameungpeuk Quadrangle, Jawa Scale 1 : 100.000. Bandung: Geological Research and Development Centre
Anbalagan, R. (2014). Landslide Hazards and Sustainable Development in Himalayan Region. International Journal of Landslide and Environment, 1(1); 3–4
Banuzaki, A. and A. Ayu (2021). Landslide Vulnerability Assessment Using Gis and Remote Sensing Techniques: A Case Study from Garut–Tasikmalaya Road. IOP Conference Series: Earth and Environmental Science, 622(1); 012005
Batumalai, P., N. S. Mohd Nazer, N. Simon, N. Sulaiman, M. R. Umor, and M. A. Ghazali (2023). Soil Detachment Rate of a Rainfall-Induced Landslide Soil. Water, 15(12); 2149
Bokko, J. (2019). Analisis Kelongsoran Jalan Poros SangallaBatualu Dengan Program Plaxis. Journal Dynamic Saint, 4(1); 764–772 (in Indonesia)
Center for Soil and Agroclimate Research (2004). Laporan Akhir Pengkajian Potensi Bencana Kekeringan, Banjir dan Longsor di Kawasan Satuan Wilayah Sungai Citarum-Ciliwung, Jawa Barat Bagian Barat Berbasis Sistem Informasi Geografi. Bogor: Puslittanak (in Indonesia)
Center for Volcanology and Geological Hazard Mitigation (2020). Laporan Pemeriksaan Gerakan Tanah Di Kec. Cilawu, Kabupaten Garut, Provinsi Jawa Barat. Center for Volcanology and Geological Hazard Mitigation (in Indonesia)
Central Agency on Statistics Garut District (2018). Luas Wilayah Kabupaten Garut Menurut Tingkat Kemiringan (Ha). Garut: Central Agency on Statistics (in Indonesia)
Central Agency on Statistics Garut District (2020). Kabupaten Garut dalam Angka 2020. Garut: Central Agency on Statistics (in Indonesia)
Central Agency on Statistics Garut District (2021). Kabupaten Garut dalam Angka 2021. Garut: Central Agency on Statistics (in Indonesia)
Chang, Z., F. Huang, J. Huang, S.-H. Jiang, Y. Liu, S. R. Meena, and F. Catani (2023). An Updating of Landslide Susceptibility Prediction from the Perspective of Space and Time. Geoscience Frontiers, 14(5); 101619
Chaplot, V., C. Walter, and P. Curmi (2000). Improving Soil Hydromorphy Prediction According to DEM Resolution and Available Pedological Data. Geoderma, 97(3-4); 405–422
Chen, W., J. Peng, H. Hong, H. Shahabi, B. Pradhan, J. Liu, A.-X. Zhu, X. Pei, and Z. Duan (2018). Landslide Susceptibility Modelling Using GIS-Based Machine Learning Techniques for Chongren County, Jiangxi Province, China. Science of the Total Environment, 626; 1121–1135
Chowdhury, M. S. and B. Hafsa (2022). Landslide Susceptibility Mapping Using Bivariate Statistical Models and Gis in Chattagram District, Bangladesh. Geotechnical and Geological Engineering, 40(7); 3687–3710
Dhana, F., D. D. A. Putranto, and B. Susanti (2019). The Correlation Analysis of Maintenance Costs to Sei Siulak Deras Irrigation Network Infrastructure Performance. Indonesian Journal of Environmental Management and Sustainability, 3(2); 71–74
Dhungana, G., R. Ghimire, R. Poudel, and S. Kumal (2023). Landslide Susceptibility and Risk Analysis in Benighat Rural Municipality, Dhading, Nepal. Natural Hazards Research, 3(2); 170-185
Effendi, A. Y. (2016). Analisa Daerah Rawan Bencana Tanah Longsor Dengan Menggunakan Metode Fuzzy Logic (Studi Kasus : Kabupaten Probolinggo, Jawa Timur). Institut Teknologi Sepuluh Nopember (in Indonesia)
Gariano, S. L. and F. Guzzetti (2016). Landslides in a Changing Climate. Earth-Science Reviews, 162; 227–252
Hairiah, K., W. Widianto, D. Suprayogo, and M. Van Noordwijk (2020). Tree Roots Anchoring and Binding Soil: Reducing Landslide Risk in Indonesian Agroforestry. Land, 9(8); 256
Herdani, Y. I. P., Z. Dahlan, and R. Susanti (2020). Determinant Analysis of Public Participation in the Implementation of Greeningin Kampung Iklim 2 Ilir, Palembang. Indonesian Journal of Environmental Management and Sustainability, 4(3); 59–63
Herrera-Coy, M. C., L. P. Calder´on, I. L. Herrera-P´erez, P. E. Bravo-L´opez, C. Conoscenti, J. Delgado, M. S´anchez G´omez, and T. Fern´andez (2023). Landslide Susceptibility Analysis on the Vicinity of Bogot´a-Villavicencio Road (Eastern Cordillera of the Colombian Andes). Remote Sensing, 15(15); 3870
Hidayat, R. and M. D. Munir (2019). Longsor di Sungai Cipunagara dan Desain Penanganannya (Landslide at Cipunagara River and its Handling Design). Jurnal Lingkungan dan Bencana Geologi, 10(1); 19–27 (in Indonesia)
Hong, H., H. Shahabi, A. Shirzadi, W. Chen, K. Chapi, B. B. Ahmad, M. S. Roodposhti, A. Yari Hesar, Y. Tian, and D. Tien Bui (2019). Landslide Susceptibility Assessment at the Wuning Area, China: A Comparison between Multi-Criteria Decision Making, Bivariate Statistical and Machine Learning Methods. Natural Hazards, 96; 173–212
Irsyad, M. (2017). Wilayah Rawan Tanah Longsor di Jonggol, Kabupaten Bogor, Jawa Barat. Universitas Indonesia (in Indonesia)
Isnaini, R. (2019). Analisis Bencana Tanah Longsor Di Wilayah Jawa Tengah. Islamic Management and Empowerment Journal, 1(2); 144–145
Jebur, M. N., B. Pradhan, and M. S. Tehrany (2014). Optimization of Landslide Conditioning Factors Using Very High-Resolution Airborne Laser Scanning (LiDAR) Data at Catchment Scale. Remote Sensing of Environment, 152; 150–165
Malka, A. (2022). GIS-Based Landslide Susceptibility Modelling in Urbanized Areas: A Case Study of the Tri-City Area of Poland. GeoHazards, 3(4); 508–528
Mandal, S. P., A. Chakrabarty, and P. Maity (2018). Comparative Evaluation of Information Value and Frequency Ratio in Landslide Susceptibility Analysis along National Highways of Sikkim Himalaya. Spatial Information Research, 26; 127–141
Mersha, T. and M. Meten (2020). GIS-Based Landslide Susceptibility Mapping and Assessment Using Bivariate Statistical Methods in Simada Area, Northwestern Ethiopia. Geoenvironmental Disasters, 7(1); 1–22
Milevski, I. (2014). Slope Values Accuracy vs Resolution of the Digital Elevation Models (Example of the Republic of Macedonia). Proceedings of 5th ICC-GIS Conference; 568–575
Ministry of Energy and Mineral Resources (2015). Pengenalan Gerakan Tanah. Ministry of Energy and Mineral Resources (in Indonesia)
Nohani, E., M. Moharrami, S. Sharafi, K. Khosravi, B. Pradhan, B. T. Pham, S. Lee, and A. M. Melesse (2019). Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models. Water, 11(7); 1402 Patil, A. S. and S. S. Panhalkar (2023). Remote Sensing and GIS-Based Landslide Susceptibility Mapping Using Lnrf Method in Part of Western Ghats of India. Quaternary Science Advances; 100095
Prakasam, C., R. Aravinth, V. S. Kanwar, and B. Nagarajan (2020). Landslide Hazard Mapping Using GeoEnvironmental Parameters-A Case Study on Shimla Tehsil, Himachal Pradesh. Applications of Geomatics in Civil Engineering: Select Proceedings of ICGCE 2018 ; 123–139
Purba, J. O. (2014). Pembuatan Peta Zona Rawan Tanah Longsor di Kota Semarang Dengan Melakukan Pembobotan Parameter. Universitas Diponegoro (in Indonesia)
Rahmad, R., S. Suib, and A. Nurman (2018). Aplikasi SIG Untuk Pemetaan Tingkat Ancaman Longsor Di Kecamatan Sibolangit, Kabupaten Deli Serdang, Sumatera Utara. Majalah Geografi Indonesia, 32(1); 1–13 (in Indonesia)
Rahman, K. (2018). Mitigasi Bencana Tanah Longsor. BPD Daerah Istimewa Yogyakarta (in Indonesia)
Regional Disaster Management Agency Garut (2021). Rekapitulasi Data Kejadian Bencana 2021. Garut : Regional Disaster Management Agency (in Indonesia)
Rossi, M. and P. Reichenbach (2016). Land-Se: A Software for Statistically Based Landslide Susceptibility Zonation, Version 1.0. Geoscientific Model Development, 9(10); 3533–3543
Sharma, S. and A. K. Mahajan (2018). Comparative Evaluation of GIS-Based Landslide Susceptibility Mapping Using Statistical and Heuristic Approach for Dharamshala Region of Kangra Valley, India. Geoenvironmental Disasters, 5; 1–16
Silalahi, F. E. S., Y. Arifianti, F. Hidayat, et al. (2019). Landslide Susceptibility Assessment Using Frequency Ratio Model in Bogor, West Java, Indonesia. Geoscience Letters, 6(1); 1–17
Sudaryatno, S., P. Widayani, T. W. Wibowo, B. Wiratmoko, and W. Nurbandi (2019). Evidence Based Landslide Hazard Mapping in Purworejo Using Information Value Model Approach. Forum Geografi, 33(1); 25–38
Sun, H., W. Li, M. Scaioni, J. Fu, X. Guo, and J. Gao (2023). Influence of Spatial Heterogeneity on Landslide Susceptibility in the Transboundary Area of the Himalayas. Geomorphology, 433; 108723
Wang, L.-J., M. Guo, K. Sawada, J. Lin, and J. Zhang (2015). Landslide Susceptibility Mapping in Mizunami City, Japan: A Comparison between Logistic Regression, Bivariate Statistical Analysis and Multivariate Adaptive Regression Spline Models. Catena, 135; 271–282
Xiong, T., I. G. B. Indrawan, and D. E. Putra (2017). Landslide Susceptibility Mapping Using Analytical Hierarchy Process, Statistical Index, Index of Enthropy, and Logistic Regression Approaches in the Tinalah Watershed, Yogyakarta. Journal of Applied Geology, 2(1); 78–93
Yassar, M. F., M. Nurul, N. Nadhifah, N. F. Sekarsari, R. Dewi, R. Buana, S. N. Fernandez, K. A. Rahmadhita, et al. (2020). Penerapan Weighted Overlay Pada Pemetaan Tingkat Probabilitas Zona Rawan Longsor di Kabupaten Sumedang, Jawa Barat. Jurnal Geosains dan Remote Sensing, 1(1); 1–10 (in Indonesia)
Anbalagan, R. (2014). Landslide Hazards and Sustainable Development in Himalayan Region. International Journal of Landslide and Environment, 1(1); 3–4
Banuzaki, A. and A. Ayu (2021). Landslide Vulnerability Assessment Using Gis and Remote Sensing Techniques: A Case Study from Garut–Tasikmalaya Road. IOP Conference Series: Earth and Environmental Science, 622(1); 012005
Batumalai, P., N. S. Mohd Nazer, N. Simon, N. Sulaiman, M. R. Umor, and M. A. Ghazali (2023). Soil Detachment Rate of a Rainfall-Induced Landslide Soil. Water, 15(12); 2149
Bokko, J. (2019). Analisis Kelongsoran Jalan Poros SangallaBatualu Dengan Program Plaxis. Journal Dynamic Saint, 4(1); 764–772 (in Indonesia)
Center for Soil and Agroclimate Research (2004). Laporan Akhir Pengkajian Potensi Bencana Kekeringan, Banjir dan Longsor di Kawasan Satuan Wilayah Sungai Citarum-Ciliwung, Jawa Barat Bagian Barat Berbasis Sistem Informasi Geografi. Bogor: Puslittanak (in Indonesia)
Center for Volcanology and Geological Hazard Mitigation (2020). Laporan Pemeriksaan Gerakan Tanah Di Kec. Cilawu, Kabupaten Garut, Provinsi Jawa Barat. Center for Volcanology and Geological Hazard Mitigation (in Indonesia)
Central Agency on Statistics Garut District (2018). Luas Wilayah Kabupaten Garut Menurut Tingkat Kemiringan (Ha). Garut: Central Agency on Statistics (in Indonesia)
Central Agency on Statistics Garut District (2020). Kabupaten Garut dalam Angka 2020. Garut: Central Agency on Statistics (in Indonesia)
Central Agency on Statistics Garut District (2021). Kabupaten Garut dalam Angka 2021. Garut: Central Agency on Statistics (in Indonesia)
Chang, Z., F. Huang, J. Huang, S.-H. Jiang, Y. Liu, S. R. Meena, and F. Catani (2023). An Updating of Landslide Susceptibility Prediction from the Perspective of Space and Time. Geoscience Frontiers, 14(5); 101619
Chaplot, V., C. Walter, and P. Curmi (2000). Improving Soil Hydromorphy Prediction According to DEM Resolution and Available Pedological Data. Geoderma, 97(3-4); 405–422
Chen, W., J. Peng, H. Hong, H. Shahabi, B. Pradhan, J. Liu, A.-X. Zhu, X. Pei, and Z. Duan (2018). Landslide Susceptibility Modelling Using GIS-Based Machine Learning Techniques for Chongren County, Jiangxi Province, China. Science of the Total Environment, 626; 1121–1135
Chowdhury, M. S. and B. Hafsa (2022). Landslide Susceptibility Mapping Using Bivariate Statistical Models and Gis in Chattagram District, Bangladesh. Geotechnical and Geological Engineering, 40(7); 3687–3710
Dhana, F., D. D. A. Putranto, and B. Susanti (2019). The Correlation Analysis of Maintenance Costs to Sei Siulak Deras Irrigation Network Infrastructure Performance. Indonesian Journal of Environmental Management and Sustainability, 3(2); 71–74
Dhungana, G., R. Ghimire, R. Poudel, and S. Kumal (2023). Landslide Susceptibility and Risk Analysis in Benighat Rural Municipality, Dhading, Nepal. Natural Hazards Research, 3(2); 170-185
Effendi, A. Y. (2016). Analisa Daerah Rawan Bencana Tanah Longsor Dengan Menggunakan Metode Fuzzy Logic (Studi Kasus : Kabupaten Probolinggo, Jawa Timur). Institut Teknologi Sepuluh Nopember (in Indonesia)
Gariano, S. L. and F. Guzzetti (2016). Landslides in a Changing Climate. Earth-Science Reviews, 162; 227–252
Hairiah, K., W. Widianto, D. Suprayogo, and M. Van Noordwijk (2020). Tree Roots Anchoring and Binding Soil: Reducing Landslide Risk in Indonesian Agroforestry. Land, 9(8); 256
Herdani, Y. I. P., Z. Dahlan, and R. Susanti (2020). Determinant Analysis of Public Participation in the Implementation of Greeningin Kampung Iklim 2 Ilir, Palembang. Indonesian Journal of Environmental Management and Sustainability, 4(3); 59–63
Herrera-Coy, M. C., L. P. Calder´on, I. L. Herrera-P´erez, P. E. Bravo-L´opez, C. Conoscenti, J. Delgado, M. S´anchez G´omez, and T. Fern´andez (2023). Landslide Susceptibility Analysis on the Vicinity of Bogot´a-Villavicencio Road (Eastern Cordillera of the Colombian Andes). Remote Sensing, 15(15); 3870
Hidayat, R. and M. D. Munir (2019). Longsor di Sungai Cipunagara dan Desain Penanganannya (Landslide at Cipunagara River and its Handling Design). Jurnal Lingkungan dan Bencana Geologi, 10(1); 19–27 (in Indonesia)
Hong, H., H. Shahabi, A. Shirzadi, W. Chen, K. Chapi, B. B. Ahmad, M. S. Roodposhti, A. Yari Hesar, Y. Tian, and D. Tien Bui (2019). Landslide Susceptibility Assessment at the Wuning Area, China: A Comparison between Multi-Criteria Decision Making, Bivariate Statistical and Machine Learning Methods. Natural Hazards, 96; 173–212
Irsyad, M. (2017). Wilayah Rawan Tanah Longsor di Jonggol, Kabupaten Bogor, Jawa Barat. Universitas Indonesia (in Indonesia)
Isnaini, R. (2019). Analisis Bencana Tanah Longsor Di Wilayah Jawa Tengah. Islamic Management and Empowerment Journal, 1(2); 144–145
Jebur, M. N., B. Pradhan, and M. S. Tehrany (2014). Optimization of Landslide Conditioning Factors Using Very High-Resolution Airborne Laser Scanning (LiDAR) Data at Catchment Scale. Remote Sensing of Environment, 152; 150–165
Malka, A. (2022). GIS-Based Landslide Susceptibility Modelling in Urbanized Areas: A Case Study of the Tri-City Area of Poland. GeoHazards, 3(4); 508–528
Mandal, S. P., A. Chakrabarty, and P. Maity (2018). Comparative Evaluation of Information Value and Frequency Ratio in Landslide Susceptibility Analysis along National Highways of Sikkim Himalaya. Spatial Information Research, 26; 127–141
Mersha, T. and M. Meten (2020). GIS-Based Landslide Susceptibility Mapping and Assessment Using Bivariate Statistical Methods in Simada Area, Northwestern Ethiopia. Geoenvironmental Disasters, 7(1); 1–22
Milevski, I. (2014). Slope Values Accuracy vs Resolution of the Digital Elevation Models (Example of the Republic of Macedonia). Proceedings of 5th ICC-GIS Conference; 568–575
Ministry of Energy and Mineral Resources (2015). Pengenalan Gerakan Tanah. Ministry of Energy and Mineral Resources (in Indonesia)
Nohani, E., M. Moharrami, S. Sharafi, K. Khosravi, B. Pradhan, B. T. Pham, S. Lee, and A. M. Melesse (2019). Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models. Water, 11(7); 1402 Patil, A. S. and S. S. Panhalkar (2023). Remote Sensing and GIS-Based Landslide Susceptibility Mapping Using Lnrf Method in Part of Western Ghats of India. Quaternary Science Advances; 100095
Prakasam, C., R. Aravinth, V. S. Kanwar, and B. Nagarajan (2020). Landslide Hazard Mapping Using GeoEnvironmental Parameters-A Case Study on Shimla Tehsil, Himachal Pradesh. Applications of Geomatics in Civil Engineering: Select Proceedings of ICGCE 2018 ; 123–139
Purba, J. O. (2014). Pembuatan Peta Zona Rawan Tanah Longsor di Kota Semarang Dengan Melakukan Pembobotan Parameter. Universitas Diponegoro (in Indonesia)
Rahmad, R., S. Suib, and A. Nurman (2018). Aplikasi SIG Untuk Pemetaan Tingkat Ancaman Longsor Di Kecamatan Sibolangit, Kabupaten Deli Serdang, Sumatera Utara. Majalah Geografi Indonesia, 32(1); 1–13 (in Indonesia)
Rahman, K. (2018). Mitigasi Bencana Tanah Longsor. BPD Daerah Istimewa Yogyakarta (in Indonesia)
Regional Disaster Management Agency Garut (2021). Rekapitulasi Data Kejadian Bencana 2021. Garut : Regional Disaster Management Agency (in Indonesia)
Rossi, M. and P. Reichenbach (2016). Land-Se: A Software for Statistically Based Landslide Susceptibility Zonation, Version 1.0. Geoscientific Model Development, 9(10); 3533–3543
Sharma, S. and A. K. Mahajan (2018). Comparative Evaluation of GIS-Based Landslide Susceptibility Mapping Using Statistical and Heuristic Approach for Dharamshala Region of Kangra Valley, India. Geoenvironmental Disasters, 5; 1–16
Silalahi, F. E. S., Y. Arifianti, F. Hidayat, et al. (2019). Landslide Susceptibility Assessment Using Frequency Ratio Model in Bogor, West Java, Indonesia. Geoscience Letters, 6(1); 1–17
Sudaryatno, S., P. Widayani, T. W. Wibowo, B. Wiratmoko, and W. Nurbandi (2019). Evidence Based Landslide Hazard Mapping in Purworejo Using Information Value Model Approach. Forum Geografi, 33(1); 25–38
Sun, H., W. Li, M. Scaioni, J. Fu, X. Guo, and J. Gao (2023). Influence of Spatial Heterogeneity on Landslide Susceptibility in the Transboundary Area of the Himalayas. Geomorphology, 433; 108723
Wang, L.-J., M. Guo, K. Sawada, J. Lin, and J. Zhang (2015). Landslide Susceptibility Mapping in Mizunami City, Japan: A Comparison between Logistic Regression, Bivariate Statistical Analysis and Multivariate Adaptive Regression Spline Models. Catena, 135; 271–282
Xiong, T., I. G. B. Indrawan, and D. E. Putra (2017). Landslide Susceptibility Mapping Using Analytical Hierarchy Process, Statistical Index, Index of Enthropy, and Logistic Regression Approaches in the Tinalah Watershed, Yogyakarta. Journal of Applied Geology, 2(1); 78–93
Yassar, M. F., M. Nurul, N. Nadhifah, N. F. Sekarsari, R. Dewi, R. Buana, S. N. Fernandez, K. A. Rahmadhita, et al. (2020). Penerapan Weighted Overlay Pada Pemetaan Tingkat Probabilitas Zona Rawan Longsor di Kabupaten Sumedang, Jawa Barat. Jurnal Geosains dan Remote Sensing, 1(1); 1–10 (in Indonesia)
Authors
Nastiti, A. A., Damayanti, A., & Maulidina, K. (2023). Mapping Landslide Susceptibility Areas Using GIS Analysis in Cilawu Sub-district, Garut, West Java. Indonesian Journal of Environmental Management and Sustainability, 7(3), 95-103. https://doi.org/10.26554/ijems.2023.7.3.95-103
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