پهنه بندی خطر زمین لغزش با استفاده از شبکه عصبی مصنوعی در حوضه آبخیز میشخاص ایلام

عسگری, شمس اله; شادفر, صمد

doi:10.61186/jsaeh.11.4.4

Bakhtiyari, M., komeh, Z., Memarian, H. (2018). 'A Comparison of Fuzzy Analytic Hierarchy Process, Artificial Neural Network and Area Density in Quantitative Evaluation and Landslide Susceptibility Mapping within GIS Framework (Case Study: Simereh Homiyan Watershed), Journal of Geography and Environmental Hazards, 7(3), 19-40.(InPersian).https://doi.org/ 10.22067/geo.v0i0.67234 [DOI:10.22067/geo.v0i0.67234]

Bakhtiyari, M., komeh, Z., Memarian, H. (2018). 'A Comparison of Fuzzy Analytic Hierarchy Process, Artificial Neural Network and Area Density in Quantitative Evaluation and Landslide Susceptibility Mapping within GIS Framework (Case Study: Simereh Homiyan Watershed), Journal of Geography and Environmental Hazards, 7(3), 19-40.(InPersian).https://doi.org/ 10.22067/geo.v0i0.67234

Caniani D., Pascale S., Sdao F., Sole A., 2008. Neural networks and landslide susceptibility: a case study of the urban area of Potenza, Natural Hazards,29 (45):55–72. [DOI:10.1007/s11069-007-9169-3]

Caniani D., Pascale S., Sdao F., Sole A., 2008. Neural networks and landslide susceptibility: a case study of the urban area of Potenza, Natural Hazards,29 (45):55–72. https://doi.org/10.1007/s11069-007-9169-3

Chen H., G.W. Lin, M.H. Lu, T.Y. Shih, M.J. Horng, S.J. Wu, B. Chuang. 2011. Effects of topography, lithology, rainfall and earthquake on landslide and sediment discharge in mountain catchments of southeastern Taiwan. Geomorphology 133, 132–142. [DOI:10.1016/j. geomorphic. 2010. 12. 031]

Chen H., G.W. Lin, M.H. Lu, T.Y. Shih, M.J. Horng, S.J. Wu, B. Chuang. 2011. Effects of topography, lithology, rainfall and earthquake on landslide and sediment discharge in mountain catchments of southeastern Taiwan. Geomorphology 133, 132–142. https://doi.org/10.1016/j. geomorphic. 2010. 12. 031

Conforti, M., Pascale, S., Robustelli, G., & Sdao, F. (2014). Evaluation of prediction capability of the artificial neural networks for mapping landslide susceptibility in the turbolo river catchment (Northern calabria, italy), Catena, 113, 236-250. [DOI:10.1016/j.catena.2013.08.006]

Conforti, M., Pascale, S., Robustelli, G., & Sdao, F. (2014). Evaluation of prediction capability of the artificial neural networks for mapping landslide susceptibility in the turbolo river catchment (Northern calabria, italy), Catena, 113, 236-250. https://doi.org/10.1016/j.catena.2013.08.006

Crosta, G., & Clague, J.J. (2009). Dating, triggering modeling, and hazard assessment of large, landslides, Geomorphology, 103(1): 1-4. [DOI:10.1016/j.geomorph.2008.04.007]

Crosta, G., & Clague, J.J. (2009). Dating, triggering modeling, and hazard assessment of large, landslides, Geomorphology, 103(1): 1-4. https://doi.org/10.1016/j.geomorph.2008.04.007

Dai, K. R., Z. H. Li, Q. Xu, R. Burgmann, D. G. Milledge, R. Tomas, X. M. Fan, et al. 2020. “Entering the Era of Earth Observation-Based Landslide Warning Systems: A Novel and Exciting Framework.” IEEE Geoscience and Remote Sensing Magazine 8 (1),136–153. [DOI:10.1109/MGRS.2019.2954395]

Dai, K. R., Z. H. Li, Q. Xu, R. Burgmann, D. G. Milledge, R. Tomas, X. M. Fan, et al. 2020. “Entering the Era of Earth Observation-Based Landslide Warning Systems: A Novel and Exciting Framework.” IEEE Geoscience and Remote Sensing Magazine 8 (1),136–153. https://doi.org/10.1109/MGRS.2019.2954395

Emaduddin, S., Moradi, A., (2017). "Evaluation of landslide risk using hierarchical process (AHP), artificial neural network (ANN) analysis and field studies with risk reduction approach (case study: Haraz road axis)", Quantitative Geomorphology Research, 6(4), 172-190. (In Persian) [DOI:20.1001.1.22519424.1397.6.4.12.9]

Emaduddin, S., Moradi, A., (2017). "Evaluation of landslide risk using hierarchical process (AHP), artificial neural network (ANN) analysis and field studies with risk reduction approach (case study: Haraz road axis)", Quantitative Geomorphology Research, 6(4), 172-190. (In Persian) https://doi.org/20.1001.1.22519424.1397.6.4.12.9

Erener, A., Sarp, G., & Duzgun, S. (2019). Use of GIS and remote sensing for landslide susceptibility mapping, Advanced Methodologies and Technologies in Engineering and Environmental Science,26(8), 384-398. [DOI:10.4018/978-1-5225-7359-3.ch026]

Erener, A., Sarp, G., & Duzgun, S. (2019). Use of GIS and remote sensing for landslide susceptibility mapping, Advanced Methodologies and Technologies in Engineering and Environmental Science,26(8), 384-398. https://doi.org/10.4018/978-1-5225-7359-3.ch026

Gomez H., Kavzoglu T., 2005: Assessment of shallow landslide susceptibility using artificial lneural networks in Jabonosa River Basin, Venezuela, Engineering Geology,78(1–2):11–27. [DOI:10.1016/j.enggeo.2004.10.004]

Gomez H., Kavzoglu T., 2005: Assessment of shallow landslide susceptibility using artificial lneural networks in Jabonosa River Basin, Venezuela, Engineering Geology,78(1–2):11–27. https://doi.org/10.1016/j.enggeo.2004.10.004

He, Y., Zhao, Z., Zhu, Q., Liu, T., Zhang, Q., Yang, W., Wang, Q. (2023). An integrated neural network method for landslide susceptibility assessment based on time-series InSAR deformation dynamic features,InternationalJournalofDigitalEarth,17(1),136.152. [DOI:10.1080/17538947.2023.2295408]

He, Y., Zhao, Z., Zhu, Q., Liu, T., Zhang, Q., Yang, W., Wang, Q. (2023). An integrated neural network method for landslide susceptibility assessment based on time-series InSAR deformation dynamic features,InternationalJournalofDigitalEarth,17(1),136.152.https://doi.org/10.1080/17538947.2023.2295408

Huang, F.M., Cao, Z.S., Guo, J.F., Jiang, S.H., Li, S., Guo, Z.Z., 2020. Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping. Catena 191, 104580. [DOI:10.1016/j.catena.2020.104580]

Huang, F.M., Cao, Z.S., Guo, J.F., Jiang, S.H., Li, S., Guo, Z.Z., 2020. Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping. Catena 191, 104580. https://doi.org/10.1016/j.catena.2020.104580

Khan, A., Gupta, S., & Gupta, S. K. 2020. Multihazard disaster studies: monitoring, detection, recovery, and management, based on emerging technologies and optimal techniques. International Journal of Disaster Risk Reduction, 47(4): 31–53. [DOI:10.1016/j.ijdrr.2020.101642]

Khan, A., Gupta, S., & Gupta, S. K. 2020. Multihazard disaster studies: monitoring, detection, recovery, and management, based on emerging technologies and optimal techniques. International Journal of Disaster Risk Reduction, 47(4): 31–53. https://doi.org/10.1016/j.ijdrr.2020.101642

Klarstaghi Atalae, Habib Nejadroshan, Mahmoud and Ahmadi Hassan, 2007, study of the occurrence of landslides in connection with the change of land use and road construction, a case study of the Tajen watershed, Sari, Geographical Researches, 39: (62), 81-91. (In Persian). [DOI:10.1080/17538947.2007.2295408]

Klarstaghi Atalae, Habib Nejadroshan, Mahmoud and Ahmadi Hassan, 2007, study of the occurrence of landslides in connection with the change of land use and road construction, a case study of the Tajen watershed, Sari, Geographical Researches, 39: (62), 81-91. (In Persian). https://doi.org/10.1080/17538947.2007.2295408

Lee S., Ryu J. H., Lee M. J., Won J. S., 2003: Use of an Artificial Neural Network for analysis of the susceptibility to landslides at Boun, Korea, Environmental Geology, 44(7), 820–833. [DOI:10.1007/s00254-003-0825-y]

Lee S., Ryu J. H., Lee M. J., Won J. S., 2003: Use of an Artificial Neural Network for analysis of the susceptibility to landslides at Boun, Korea, Environmental Geology, 44(7), 820–833. https://doi.org/10.1007/s00254-003-0825-y

Lee S., Ryu J. H., Lee M. J., Won J. S., 2006: The Application of artificial neural networks to landslide susceptibility mapping at Janghung, Korea, Mathematical Geology, 38(2),199-220. [DOI:10.1007/s11004-005-9012-x]

Lee S., Ryu J. H., Lee M. J., Won J. S., 2006: The Application of artificial neural networks to landslide susceptibility mapping at Janghung, Korea, Mathematical Geology, 38(2),199-220. https://doi.org/10.1007/s11004-005-9012-x

Lee S., Ryu J. H., Won J. S., Park H. J., 2004: Determination and application of the weights for landslide susceptibility mapping using an artificial neural network, Engineering Geology, 71(8), 289–302. [DOI:10.1016/S0013-7952(03)00142-X]

Lee S., Ryu J. H., Won J. S., Park H. J., 2004: Determination and application of the weights for landslide susceptibility mapping using an artificial neural network, Engineering Geology, 71(8), 289–302. https://doi.org/10.1016/S0013-7952(03)00142-X

Lee S., Sambath T., 2006: Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. Environmental Geology 50 (6), 847–855. [DOI:10.1007/s00254-006-0256-7]

Lee S., Sambath T., 2006: Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. Environmental Geology 50 (6), 847–855. https://doi.org/10.1007/s00254-006-0256-7

Lee. S., Chwae, U., Min, K. 2002. Landslide susceptibility mapping by correlation between topograghy and geological structure:the Janghung area,Korea. Geomorphology, 46: 149-162. https://doi.org/ 10.1016/S0169-555X(02)00057-0 [DOI:10.1016/S0169-555X(02)00057-0]

Lee. S., Chwae, U., Min, K. 2002. Landslide susceptibility mapping by correlation between topograghy and geological structure:the Janghung area,Korea. Geomorphology, 46: 149-162. https://doi.org/ 10.1016/S0169-555X(02)00057-0

Menhaj Mohammad Baqer, (2021) Basics of Neural Networks, Publications of Amir Kabir University of Technology (Tehran Polytechnic), 1(11), 715 pages.

Mantovani, J. R., G. T. Bueno, E. Alcântara, E. Park, A. P. Cunha, L. Londe, K. Massi, and J. A. Marengo. 2023. “Novel Landslide Susceptibility Mapping Based on Multi-Criteria Decision-Making in Ouro Preto, Brazil.” Journal of Geovisualization and Spatial Analysis 7 (1),71-92. [DOI:10.1007/s41651-023-00138-0]

Mantovani, J. R., G. T. Bueno, E. Alcântara, E. Park, A. P. Cunha, L. Londe, K. Massi, and J. A. Marengo. 2023. “Novel Landslide Susceptibility Mapping Based on Multi-Criteria Decision-Making in Ouro Preto, Brazil.” Journal of Geovisualization and Spatial Analysis 7 (1),71-92. https://doi.org/10.1007/s41651-023-00138-0

Moghimi, Ibrahim. Ulumbanah, Seyyed Kazem and Jafari, Timur. (2009). Evaluation and zoning of factors affecting the occurrence of landslides in the northern slopes of Aladagh. Case study: Chenaran drainage basin in North Khorasan province, Institute of Geography, University of Tehran, Journal of Geographical Research, 64(9), 53 - 77. [In Persian]. [DOI:10.22059/JPHGR.2009.355408.1007750]

Moghimi, Ibrahim. Ulumbanah, Seyyed Kazem and Jafari, Timur. (2009). Evaluation and zoning of factors affecting the occurrence of landslides in the northern slopes of Aladagh. Case study: Chenaran drainage basin in North Khorasan province, Institute of Geography, University of Tehran, Journal of Geographical Research, 64(9), 53 - 77. [In Persian]. https://doi.org/10.22059/JPHGR.2009.355408.1007750

Oh, H. J., & Pradhan, B. (2011). Application of a neuro-fuzzymodel to landslid-susceptibility mapping for shallow landslides in a tropical hilly area, Computers & Geosciences, 37(9), 1264-1276.

Rajabi, A M., Khosravi, H., 2019 The Zoning of Earthquake-Induced Earthquake Hazards using the AHP Model. Journal of Engineering Geology; 12 (4):635-658. [DOI:10.18869/acadpub.jeg.12.4.635]

Rajabi, A M., Khosravi, H., 2019 The Zoning of Earthquake-Induced Earthquake Hazards using the AHP Model. Journal of Engineering Geology; 12 (4):635-658. https://doi.org/10.18869/acadpub.jeg.12.4.635

Shadfar, Samad, 2016, investigation of factors affecting landslide and its zoning using GIS in Peltan watershed, 3rd Conference of Spatial Information Systems, Qeshm, (In Persian).

https://civilica.com/doc/10889

Shirani, K., Naderi Samani, R. (2022). 'Determination of Effective factors and Assessment of Landslide Susceptibility Using Random Forest and Artificial Neural Network in Doab Samsami Region, Chaharmahal va Bakhtiari Province', Watershed Management Research Journal, 35(1), 40-60,(In Persian). https://doi.org/ 10.22092/wmrj.2021.354962.1421 [DOI:10.22092/wmrj.2021.354962.1421]

Shirani, K., Naderi Samani, R. (2022). 'Determination of Effective factors and Assessment of Landslide Susceptibility Using Random Forest and Artificial Neural Network in Doab Samsami Region, Chaharmahal va Bakhtiari Province', Watershed Management Research Journal, 35(1), 40-60,(In Persian). https://doi.org/ 10.22092/wmrj.2021.354962.1421

Xu, C., Xu, X., Dai, F., & Saraf, A.K. (2012). Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 wenchuan earthquake in china. Computers & Geosciences, 46, 317-329. [DOI:10.1016/j.cageo.2012.01.002]

Xu, C., Xu, X., Dai, F., & Saraf, A.K. (2012). Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 wenchuan earthquake in china. Computers & Geosciences, 46, 317-329. https://doi.org/10.1016/j.cageo.2012.01.002

Yalcin, A., Reis, S., Aydinoglu, A., & Yomralioglu, T. (2011). A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in trabzon, NE turkey. Catena, 85(3), 274-287. [DOI:10.1016/j.catena.2011.01.014]

Yalcin, A., Reis, S., Aydinoglu, A., & Yomralioglu, T. (2011). A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in trabzon, NE turkey. Catena, 85(3), 274-287. https://doi.org/10.1016/j.catena.2011.01.014

Yilmaz I., 2009, Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat—Turkey), Computers and Geosciences, 35: 1125 – 1138. [DOI:10.1016/j.cageo.2008.08.007]

Yilmaz I., 2009, Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat—Turkey), Computers and Geosciences, 35: 1125 – 1138. https://doi.org/10.1016/j.cageo.2008.08.007