Document Type : Original Article
Authors
kharazmi university
Abstract
Keywords
شکاری بادی. علی، معتمدی راد. محمد، محمدنیا. ملیحه، 1394، تلفیق مدل ANP و شاخص آنتروپی شانون در برآورد عوامل موثر در وقوع و پهنه بندی خطر زمین لغزش (مطالعه موردی: حوضه فاروب روان نیشابور)، مطالعات جغرافیایی مناطق خشک، سال ششم، شمار 22، صص: 103-89.
شیرزادی. عطااله، سلیمانی. کریم، حبیب نژاد. محمود، کاویان. عطااله، چپی. کامران، 1396، معرفی یک مدل جدید ترکیبی الگوریتم مبنا به منظور پیش بینی حساسیت زمین لغزش های سطحی اطراف شهر بیجار، جغرافیا و توسعه، شماره 46، صص: 246-225.
صدوق ونینی. حسن، ثروتی. محمد رضا، نصرتی. کاظم، اسدی. میترا، قربانی. صدیق، 1394، پهنه بندی زمین لغزش در منطقه ی کاشتر کامیاران برای کاهش مخاطرات، فصلنامه دانش مخاطرات، دوره 2، شماره 1، صص: 116-105.
قاسمیان، بهاره.، عابدینی، موسی.، روستایی، شهرام.، 1396، ارزیابی حساسیت زمین لغزش با استفاده از الگوریتم ماشین پشتیبان بردار (مطالعه موردی: شهرستان کامیاران، استان کردستان)، پژوهش های ژئومورفولوژی کمی، سال ششم، شماره 3، صص: 36-15.
محمد خان. شیرین، ویسی. عبدالکریم، باقری. کیوان، ، پتانسیل سنجی خطر زین لغزش با استفاده از مدل آنتروپی، مطالعه موردی: (منطقه کوهستانی شیرپناه در جنوب غرب استان کرمانشاه)، فصلنلمه جغرافیایی سرزمین، سال یازدهم، شاره 44، صص: 102-89.
مقیمی، ابراهیم؛ سجاد باقری و طاهر صفرراد. 1391. پهنه بندی خطر وقوع زمین لغزش با استفاده از مدل آنتروپی (مطالعه موردی: تاقدیس نسار زاگرس شمال غربی). پژوهشهای جغرافیای طبیعی، 79: 90-77.
یمانی، مجتبی.، احمدآبادی، علی.، زارع، غلام رضا.، 1391، به کار گیری الگوریتم ماشین های پشتیبان بردار در پهنه بندی خطر وقوع زمین لغزش (مطالعه موردی: حوضه آبخیز درکه)، جغرافیا و مخاطرات محیطی، شماره سوم، صص 142-125.
Basharat, M., Rohn, J., Baig, M.S., Khan, M.R., 2014. Spatial distribution analysis of
mass movements triggered by the 2005 Kashmir earthquake in the Northeast Himalayas of Pakistan. Geom 206, 203–214.
Basu. Tirthankar, Pal. Swades, 2019, RS-GIS based morphometrical and geological multi- criteria approach to the landslide susceptibility mapping in Gish River Basin, West Bengal, India, Advances in Space Research, Issue 3: 1253-1269.
Bera. Somnath, Guru. Balamurugan, V. Ramesh, 2019, Evaluation of landslide susceptibility models: a comparative study on the part of Western Ghat Region, India, Remote Sensing Applications: Society and Environment, PII: S2352-9385(17)30309-9, p:39-52, https://doi.org/10.1016/j.rsase.2018.10.010.
Broeckx. Jente, Vanmarcke. Matthias, Duchateau. Rica, Poesen. Jean, 2018, A data-based landslide susceptibility map of Africa, Earth-Science Reviews, October 2018: 102-121. https://doi.org/10.1016/j.earscirev.2018.05.002.
Chauhan, S., Sharma, M., Arora, M.K., 2010. Landslide susceptibility zonation of theChamoli region, Garhwal Himalayas, using logistic regression model. Landslides7 (4), 411–423.
Dahal, R.K., Hasegawa, S., Nonomura, A., Yamanaka, M., Dhakal, S., Paudyal, P., 2008. Predictive modelling of rainfall-induced landslide hazard in the Lesser Himalaya of Nepal based on weights-of-evidence. Geomorphology 102 (3–4), 496510.
Devkota, K.C., Regmi, A.D., Pourghasemi, H.R., Yoshida, K., Pradhan, B., Ryu, I.C.,Dhital, M.R., Althuwaynee, O.F., 2013. Landslide susceptibility mapping using certainty factor, index of entropy and logistic egression models in GIS and their comparison at Mugling-Narayanghat road section in Nepal Himalaya. Nat. Hazards 65 (1), 135–165.
ESRI. (2017). ‘‘Arc Hydro Overview.” Retrieved 15 September 2017, from http://
resources.arcgis.com/en/communities/hydro/01vn0000000s000000.htm.
Faraji Sabokbar, H., Shadman Roodposhti, M., Tazik, E., 2014. Landslide susceptibility mapping using geographically-weighted principal component analysis. Geomorphology 226, 15–24.
Gorum, T., Fan, X., van Westen, C., Huang, R., Xu, Q., Tang, C., Wang, G., 2011. Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008 Wenchuan earthquake. Geomorphology 133 (3–4), 152–167.
Ilia, I., Tsangaratos, P., 2016. Applying weight of evidence method and sensitivity analysis to produce a landslide susceptibility map. Landslides 13 (2), 379–397.
Kamp, U., Growley, B.J., Khattak, G.A., Owen, L.A., 2008. GIS-based landslide susceptibility mapping for the 2005 Kashmir earthquake region. Geomorphology 101 (4), 631–642.
Katz. Oded, Morgan. Julia K, Aharonov. Einat, Dugan. Brandon, 2018, Controls on the size and geometry of landslides: Insights from discrete element numerical simulations, Geomorphology 220 (2014) 104–113, https://doi.org/10.1016/j.geomorph.2014.05.021.
Khan. H, Shafique. M, Khan. A, Mian. A. Bacha, Safeer U. Shah, Chiara. Calligaris, 2018, Landslide susceptibility assessment using Frequency Ratio, a case study of northern Pakistan, The Egyptian Journal of Remote Sensing and Space Sciences, 10 December 2018. https://doi.org/10.1016/j.ejrs.2018.03.004.
Lee, S., Talib, J.A., 2005. Probabilistic landslide susceptibility and factor effect analysis. Environ. Geol. 47 (7), 982–990.
Nefeslioglu, H.A., Gokceoglu, C., Sonmez, H., 2008. An assessment on the use of
logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps. Eng. Geol. 97 (3–4), 171–191.
Negnevitsky, M. 2002. Artifical Intelligence: A Guide to Intelligent Systems. Addison Wesley/Pearson Education, Harlow, England, p: 394.
Peng Ling, Ruiqing Niu Bo Huang, Xueling Wua, Yannan Zhao, Runqing Ye, 2014.
Landslide susceptibility mapping based on rough set theory and support vector machines: A case of the Three Gorges area, China. Geomorphology 204 287–301.
Pourghasemi.H. R. Moradi H. R.. Fatemi Aghda, S. M B. Gokceoglu Pradhan .2013. GISbased landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (North of Tehran, Iran). Arab J Geosci, DOI 10.1007/s12517-012-0825-
Rostami, Z.A., Al-modaresi, S.A., Fathizad, H., Faramarzi, M., 2016. Landslide susceptibility mapping by using fuzzy logic: a case study of Cham-gardalan catchment, Ilam, Iran. Arab. J. Geosci. 9 (17): 685- 695.
Scholkoph, B., Smola, A.J., Williamson, R.C., Bartlett, P.L., 2000. New support vectoralgorithms. Neural Computation 12, 1207–1245
Shafique, M., van der Meijde, M., Khan, M.A., 2016. A review of the 2005 Kashmir
earthquake-induced landslides; from a remote sensing prospective. J. Asian Earth Sci. 118, 68–80
Tien Bui, D., Tuan, T.A., Klempe, H., Pradhan, B., Revhaug, I., 2016. Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree. Landslides 13 (2), 361–378
Umar, Z., Pradhan, B., Ahmad, A., Jebur, M.N., Tehrany, M.S., 2014. Earthquake
induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia. CATENA 118, 124–135.
Wang, Q., Li, W., 2017. A GIS-based comparative evaluation of analytical hierarchy
process and frequency ratio models for landslide susceptibility mapping. Phys. Geogr. 38 (4), 318–337.
Wu, Y., Li, W., Wang, Q., Liu, Q., Yang, D., Xing, M., Pei, Y., Yan, S., 2016. Landslide susceptibility assessment using frequency ratio, statistical index and certainty factor models for the Gangu County, China. Arab. J. Geosci. 9 (2), 1–16.
Xu C, XiweiXu a,n, FuchuDai b, ArunK. Saraf, 2012. Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008Wenchuan earthquake in China. Computers & Geosciences 46, 317–329.
Yang, Z; J. Oiao. 2009. Entropy- Based Hazard Degree Assessment for Typical landslides in the three gorges area, China. Environmental science and engineering, 15 may 2009: 519-529. DOI: 10.1007/978-3-642-00132-1_25
Yang, Z; J. Oiao. 2009. Entropy- Based Hazard Degree Assessment for Typical landslides in the three gorges area, China. Environmental science and engineering, 15 may 2009: 519-529. DOI: 10.1007/978-3-642-00132-1_25.
Yufeng, S; J. Fengxiang. 2009. Landslide stability analysis based on generalized information Entropy. International conference on environmental science and information application technology: 83-85. DOI: 10.1109/ESIAT.2009.258
Zongji, Y. 2010. Regional Landslide Zonation Based on Entropy Method in Three Gorges Area, China. 2010. Seventh International Conference on Fuzzy Systems and Knowledge Discovery, (FSKD 2010).