Results 41 to 50 of about 5,963,630 (346)

Potential Factors of Landslide Recurrence in Uttaradit, Thailand: A Case Study in Laplae, Mueang Uttaradit, and Tha Pla Districts

Applied Environmental Research, 2023
Laplae, Mueang Uttaradit, and Tha Pla district, Uttaradit province, Thailand are considered as high potential landslide areas. Still, this disaster is difficult to address because of complex factors controlling its occurrence.
Panithan Sawatdikomon, Watit Khokthong, Nipada Santha   +2 more
doaj   +3 more sources

The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea

Open Geosciences, 2016
The aim of this study is to predict landslide susceptibility caused using the spatial analysis by the application of a statistical methodology based on the GIS.
Saro Lee, Woo Jeon Seong, Kwan-Young Oh, Moung-Jin Lee   +3 more
doaj   +1 more source

Modeling Shallow Landslide Susceptibility and Assessment of the Relative Importance of Predisposing Factors, through a GIS-Based Statistical Analysis

Geosciences, 2021
Shallow landslides are destructive hazards and play an important role in landscape processes. The purpose of this paper is to evaluate the shallow landslide susceptibility and to investigate which predisposing factors control the spatial distribution of ...
Massimo Conforti, Fabio Ietto
doaj   +1 more source

Landslide Susceptibility Mapping Using GIS-Based-MCDM Method In Arabdagh Forests of Iran [PDF]

Environmental Resources Research, 2022
Landslide hazards are relatively frequent in the mountainous region of Northern Iran. This paper aimed to utilize the potential application of a GIS-based multi-criteria decision-making model (MCDM) to evaluate and landslide susceptibility mapping in the
ali mastouri, Shaban Shataee, Mohamad Hadi Moayeri, yaser maghsoudi   +3 more
doaj   +1 more source

Weights of evidence method for landslide susceptibility mapping in Tangier, Morocco

MATEC Web of Conferences, 2018
Tangier region is known by a high density of mass movements which cause several human and economic losses. The goal of this paper is to assess the landslide susceptibility of Tangier using the Weight of Evidence method (WofE).
Bousta Mahfoud, Ait Brahim Lahsen
doaj   +2 more sources

Multiple Sclerosis Genomic Map implicates peripheral immune cells & microglia in susceptibility

Science, 2019
Genetic roots of multiple sclerosis The genetics underlying who develops multiple sclerosis (MS) have been difficult to work out. Examining more than 47,000 cases and 68,000 controls with multiple genome-wide association studies, the International ...
Nikolas A. Patsopoulos, Nikolas A. Patsopoulos, S. Baranzini, A. Santaniello, P. Shoostari, C. Cotsapas, G. Wong, Ashley H. Beecham, T. James, J. Replogle, I. Vlachos, C. McCabe, T. Pers, T. Pers, A. Brandes, Charles White, B. Keenan, M. Cimpean, P. Winn, Ioannis-Pavlos Panteliadis, A. Robbins, T. Andlauer, O. Zarzycki, B. Dubois, A. Goris, H. B. Søndergaard, F. Sellebjerg, P. Sørensen, H. Ullum, L. Thørner, J. Saarela, I. Cournu-Rebeix, V. Damotte, B. Fontaine, L. Guillot-Noel, M. Lathrop, S. Vukusic, A. Berthele, Viola Pongratz, C. Gasperi, C. Graetz, V. Grummel, B. Hemmer, Muni Hoshi, B. Knier, T. Korn, C. Lill, F. Luessi, M. Muehlau, F. Zipp, E. Dardiotis, C. Agliardi, A. Amoroso, N. Barizzone, M. Benedetti, L. Bernardinelli, P. Cavalla, F. Clarelli, G. Comi, D. Cusi, F. Esposito, L. Ferrè, D. Galimberti, C. Guaschino, M. Leone, V. Martinelli, L. Moiola, M. Salvetti, M. Sorosina, D. Vecchio, A. Zauli, S. Santoro, N. Mancini, M. Zuccalà, J. Mescheriakova, C. M. van Duijn, S. Bos, E. Celius, A. Spurkland, M. Comabella, X. Montalbán, L. Alfredsson, I. Bomfim, D. Gómez-Cabrero, J. Hillert, M. Jagodic, M. Lindén, F. Piehl, I. Jelcic, Roland Martin, M. Sospedra, A. Baker, M. Ban, C. Hawkins, P. Hysi, S. Kalra, F. Karpe, J. Khadake, G. Lachance, P. Molyneux, M. Neville, J. Thorpe, E. Bradshaw, S. Caillier, P. Calabresi, B. Cree, A. Cross, M. Davis, P. D. de Bakker, S. Delgado, Marieme Dembele, K. Edwards, K. Fitzgerald, I. Frohlich, P. Gourraud, J. Haines, H. Hakonarson, D. Kimbrough, N. Isobe, I. Konidari, E. Lathi, Michelle H. Lee, Tai-an Li, D. An, A. Zimmer, L. Madireddy, C. Manrique, M. Mitrovic, M. Olah, E. Patrick, M. Pericak-Vance, L. Piccio, C. Schaefer, H. Weiner, K. Lage, R. Scott, J. Lechner-Scott, R. Leal, P. Moscato, David R. Booth, Graeme J. Stewart, S. Vucic, Grant Pame, Michael BamettO, D. Mason, L. Griffiths, S. Broadley, L. Tajouri, A. Baxter, M. Slee, B. Taylor, J. Charlesworth, T. Kilpatrick, J. Rubio, V. Jokubaitis, J. Wiley, H. Butzkueven, S. Leslie, A. Motyer, J. Stankovich, W. Carroll, A. Kermode, Marzena Edrin, M. Barclay, L. Peyrin-Biroulet, M. Chamaillard, J. Colombe, M. Cottone, A. Croft, R. D'Incà, J. Halfvarson, K. Hanigan, P. Henderson, J. Hugot, A. Karban, N. Kennedy, M. Khan, M. Lémann, A. Levine, D. Massey, M. Milla, Grant W. Motoey, S. Ng, Joannis Oikonomnou, H. Peeters, D. Proctor, J. Rahier, R. Roberts, P. Rutgeerts, F. Seibold, L. Stronati, K. Taylor, L. Törkvist, Kullak Ublick, J. van Limbergen, A. Van Gossum, M. Vatn, Hu Zhang, Wei Zhang, P. Donnelly, I. Barroso, Jenefer M. Blackwe, E. Bramon, Matthew A. Brown, J. Casas, A. Corvin, P. Deloukas, A. Duncanson, Janusz Jankowski, H. Markus, C. Mathew, C. Palmer, R. Plomin, A. Rautanen, Stephen Sawcer, R. Trembath, A. Viswanathan, N. Wood, C. Spencer, G. Band, C. Bellenguez, C. Freeman, G. Hellenthal, E. Giannoulatou, M. Pirinen, R. Pearson, A. Strange, Zhan Sul, Damjan Vukcevic, C. Langford, S. Hunt, S. Edkins, R. Gwilliam, H. Blackburn, S. Bumpstead, S. Dronov, M. Gillman, E. Gray, N. Hammond, A. Jayakumar, O. Mccann, J. Liddle, S. Potter, R. Ravindrarajah, M. Ricketts, M. Waller, P. Weston, S. Widaa, P. Whittaker, A. Compston, D. Hafler, H. Harbo, S. Hauser, G. Stewart, S. D'Alfonso, G. Hadjigeorgiou, Bruce E. Taylor, L. Barcellos, David Booth, R. Hintzen, I. Kockum, F. Martinelli-Boneschi, J. McCauley, J. Oksenberg, A. Oturai, S. Sawcer, A. Ivinson, T. Olsson, P. De Jager   +268 more
semanticscholar   +1 more source

Disaster Risk Analysis to Support the Development of Regional Spatial Plan of Tasikmalaya Regency, Indonesia

Journal of the Civil Engineering Forum, 2018
Tasikmalaya Regency is one of the regencies on the West Java Province that is vulnerable to disaster and currently in the second position at national level.
Wiwin Winarti
doaj   +1 more source

Evaluation on landslide susceptibility based on self-organizing feature map network and random forest model：A case study of Dayu County of Jiangxi Province

Zhongguo dizhi zaihai yu fangzhi xuebao, 2022
In order to further explore the influence of evaluation units and non-landslide sample selection methods on landslide susceptibility prediction, a landslide susceptibility evaluation model is established based on self-organizing feature map network and ...
Shu HE, XMSY ABUDIKEYIMU, Meng HU, Kang CHEN   +3 more
doaj   +1 more source

A Fuzzy Comprehensive Evaluation Method Based on AHP and Entropy for a Landslide Susceptibility Map

Entropy, 2017
Landslides are a common type of natural disaster in mountainous areas. As a result of the comprehensive influences of geology, geomorphology and climatic conditions, the susceptibility to landslide hazards in mountainous areas shows obvious regionalism ...
Hong-Liang Zhao, L. Yao, Gang Mei, Tianyu Liu, Yuan Ning   +4 more
semanticscholar   +1 more source

Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey

Remote Sensing, 2022
Landslide is a devastating natural disaster, causing loss of life and property. It is likely to occur more frequently due to increasing urbanization, deforestation, and climate change.
Moziihrii Ado, Khwairakpam Amitab, Arnab Kumar Maji, E. Jasińska, R. Goňo, Zbigniew Leonowicz, M. Jasinski   +6 more
semanticscholar   +1 more source