The Difference of Landslide-Prone Areas Between Heuristic and Statistical Methods in Lima Puluh Kota Regency
Keywords:
landslide, heuristic, statistics
Abstract
Measurement of landslide area can be done by heuristic, statistical or deterministic methods. This article will discuss the differences between the results of the two approaches, heuristic method and the statistical method at a scale of 1: 50,000 in Lima Puluh Kota Regency as one of the regencies in West Sumatera Province that often experiences landslides. The heuristic method is measured based on the rules outlined in the Indonesian disaster risk book (RBI) issued by the National Disaster Management Agency, while the statistical method uses the bivariate WoE (weight of Evidence) method with the variables used as determinants of landslide occurrence. The results of this study indicate that the use of heuristic methods and statistical methods shows different results in several areas regarding the high and low probability of landslide events.
Downloads
Download data is not yet available.
References
6. REFERENCES
[1] T. Stanley and D. B. Kirschbaum, “A heuristic approach to global landslide susceptibility mapping,” Nat. Hazards, vol. 87, no. 1, pp. 145–164, 2017, doi: 10.1007/s11069-017-2757-y.
[2] R. Strauch, E. Istanbulluoglu, and J. Riedel, “A new approach to mapping landslide hazards: A probabilistic integration of empirical and physically based models in the North Cascades of Washington, USA,” Nat. Hazards Earth Syst. Sci., vol. 19, no. 11, pp. 2477–2495, 2019, doi: 10.5194/nhess-19-2477-2019.
[3] S. Fu et al., “Landslide hazard probability and risk assessment at the community level: A case of western Hubei, China,” Nat. Hazards Earth Syst. Sci., vol. 20, no. 2, pp. 581–601, 2020, doi: 10.5194/nhess-20-581-2020.
[4] F. Oktari and Ahyuni, “Analisis Kawasan Bencana Longsor Menggunakan Fuzzy Logic di Kecamatan Situjuah Limo Nagari Kabupaten Lima Puluh Kota Tahun 2015-2020,” Buana, vol. 5, no. 2, pp. 489–495, 2021, [Online]. Available: http://geografi.ppj.unp.ac.id/index.php/student/article/view/1512.
[5] D. P. Kanungo, M. K. Arora, S. Sarkar, and R. P. Gupta, “A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas,” Eng. Geol., vol. 85, no. 3–4, pp. 347–366, 2006, doi: 10.1016/j.enggeo.2006.03.004.
[6] E. A. Castellanos Abella and C. J. Van Westen, “Qualitative landslide susceptibility assessment by multicriteria analysis: A case study from San Antonio del Sur, Guantánamo, Cuba,” Geomorphology, vol. 94, no. 3–4, pp. 453–466, 2008, doi: 10.1016/j.geomorph.2006.10.038.
[7] A. Wubalem, “Landslide Susceptibility Mapping using Statistical Methods in Uatzau Catchment Area, Northwestern Ethiopia,” pp. 1–21, 2020, doi: 10.21203/rs.3.rs-15731/v2.
[8] M. F. U. Moazzam, A. Vansarochana, J. Boonyanuphap, S. Choosumrong, G. Rahman, and G. P. Djueyep, “Spatio-statistical comparative approaches for landslide susceptibility modeling: case of Mae Phun, Uttaradit Province, Thailand,” SN Appl. Sci., vol. 2, no. 3, pp. 1–15, 2020, doi: 10.1007/s42452-020-2106-8.
[9] M. T. Daniel, T. F. Ng, M. F. Abdul Kadir, and J. J. Pereira, “Landslide Susceptibility Modeling Using a Hybrid Bivariate Statistical and Expert Consultation Approach in Canada Hill, Sarawak, Malaysia,” Front. Earth Sci., vol. 9, no. March, pp. 1–15, 2021, doi: 10.3389/feart.2021.616225.
[10] BNPB, “Risiko Bencana Indonesia,” 2016.
[11] S. E. Wati, T. Hastuti, S. Widjojo, and F. Pinem, “Landslide susceptibility mapping with heuristic approach in mountainous area a case study in Tawangmangu Sub District, Central Java, Indonesia,” ISPRS Tech. Comm. VIII Symp. Netw. World with Remote Sens., vol. 38, pp. 248–253, 2010, [Online]. Available: http://www.scopus.com/inward/record.url?eid=2-s2.0-84855338750&partnerID=40&md5=c0a9cf2cd0af65badf286367a50708e1.
[12] M. Elmoulat, L. A. Brahim, A. Elmahsani, A. Abdelouafi, and M. Mastere, “Mass movements susceptibility mapping by using heuristic approach. Case study: province of Tétouan (North of Morocco),” Geoenvironmental Disasters, vol. 8, no. 1, 2021, doi: 10.1186/s40677-021-00192-0.
[13] A. Erener and H. S. B. Düzgün, “Analysis of landslide Hazard mapping methods: Regression models versus weight rating,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. - ISPRS Arch., vol. 37, pp. 277–282, 2008.
[14] D. Reyes, J. N. C. Bantayan, D. A. Racelis, T. R. Villanueva, and L. M. Florece, “Development Research Applications of Heuristic and Logistic Regression Methods in Landslide Hazard,” 2015.
[15] A. Francipane, E. Arnone, F. Lo Conti, C. Puglisi, and L. V. Noto, “A Comparison Between Heuristic, Statistical, And Data-Driven Methods In Landslide Susceptibility Assessment: An Application To The Briga And Giampilieri Catchments,” 11o Int. Conf. Hydroinformations, p. 9, 2014, [Online]. Available: http://academicworks.cuny.edu/cc_conf_hic%0Ahttp://academicworks.cuny.edu/cc_conf_hic/150.
[1] T. Stanley and D. B. Kirschbaum, “A heuristic approach to global landslide susceptibility mapping,” Nat. Hazards, vol. 87, no. 1, pp. 145–164, 2017, doi: 10.1007/s11069-017-2757-y.
[2] R. Strauch, E. Istanbulluoglu, and J. Riedel, “A new approach to mapping landslide hazards: A probabilistic integration of empirical and physically based models in the North Cascades of Washington, USA,” Nat. Hazards Earth Syst. Sci., vol. 19, no. 11, pp. 2477–2495, 2019, doi: 10.5194/nhess-19-2477-2019.
[3] S. Fu et al., “Landslide hazard probability and risk assessment at the community level: A case of western Hubei, China,” Nat. Hazards Earth Syst. Sci., vol. 20, no. 2, pp. 581–601, 2020, doi: 10.5194/nhess-20-581-2020.
[4] F. Oktari and Ahyuni, “Analisis Kawasan Bencana Longsor Menggunakan Fuzzy Logic di Kecamatan Situjuah Limo Nagari Kabupaten Lima Puluh Kota Tahun 2015-2020,” Buana, vol. 5, no. 2, pp. 489–495, 2021, [Online]. Available: http://geografi.ppj.unp.ac.id/index.php/student/article/view/1512.
[5] D. P. Kanungo, M. K. Arora, S. Sarkar, and R. P. Gupta, “A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas,” Eng. Geol., vol. 85, no. 3–4, pp. 347–366, 2006, doi: 10.1016/j.enggeo.2006.03.004.
[6] E. A. Castellanos Abella and C. J. Van Westen, “Qualitative landslide susceptibility assessment by multicriteria analysis: A case study from San Antonio del Sur, Guantánamo, Cuba,” Geomorphology, vol. 94, no. 3–4, pp. 453–466, 2008, doi: 10.1016/j.geomorph.2006.10.038.
[7] A. Wubalem, “Landslide Susceptibility Mapping using Statistical Methods in Uatzau Catchment Area, Northwestern Ethiopia,” pp. 1–21, 2020, doi: 10.21203/rs.3.rs-15731/v2.
[8] M. F. U. Moazzam, A. Vansarochana, J. Boonyanuphap, S. Choosumrong, G. Rahman, and G. P. Djueyep, “Spatio-statistical comparative approaches for landslide susceptibility modeling: case of Mae Phun, Uttaradit Province, Thailand,” SN Appl. Sci., vol. 2, no. 3, pp. 1–15, 2020, doi: 10.1007/s42452-020-2106-8.
[9] M. T. Daniel, T. F. Ng, M. F. Abdul Kadir, and J. J. Pereira, “Landslide Susceptibility Modeling Using a Hybrid Bivariate Statistical and Expert Consultation Approach in Canada Hill, Sarawak, Malaysia,” Front. Earth Sci., vol. 9, no. March, pp. 1–15, 2021, doi: 10.3389/feart.2021.616225.
[10] BNPB, “Risiko Bencana Indonesia,” 2016.
[11] S. E. Wati, T. Hastuti, S. Widjojo, and F. Pinem, “Landslide susceptibility mapping with heuristic approach in mountainous area a case study in Tawangmangu Sub District, Central Java, Indonesia,” ISPRS Tech. Comm. VIII Symp. Netw. World with Remote Sens., vol. 38, pp. 248–253, 2010, [Online]. Available: http://www.scopus.com/inward/record.url?eid=2-s2.0-84855338750&partnerID=40&md5=c0a9cf2cd0af65badf286367a50708e1.
[12] M. Elmoulat, L. A. Brahim, A. Elmahsani, A. Abdelouafi, and M. Mastere, “Mass movements susceptibility mapping by using heuristic approach. Case study: province of Tétouan (North of Morocco),” Geoenvironmental Disasters, vol. 8, no. 1, 2021, doi: 10.1186/s40677-021-00192-0.
[13] A. Erener and H. S. B. Düzgün, “Analysis of landslide Hazard mapping methods: Regression models versus weight rating,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. - ISPRS Arch., vol. 37, pp. 277–282, 2008.
[14] D. Reyes, J. N. C. Bantayan, D. A. Racelis, T. R. Villanueva, and L. M. Florece, “Development Research Applications of Heuristic and Logistic Regression Methods in Landslide Hazard,” 2015.
[15] A. Francipane, E. Arnone, F. Lo Conti, C. Puglisi, and L. V. Noto, “A Comparison Between Heuristic, Statistical, And Data-Driven Methods In Landslide Susceptibility Assessment: An Application To The Briga And Giampilieri Catchments,” 11o Int. Conf. Hydroinformations, p. 9, 2014, [Online]. Available: http://academicworks.cuny.edu/cc_conf_hic%0Ahttp://academicworks.cuny.edu/cc_conf_hic/150.
Published
2021-12-08
