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Land subsidence susceptibility mapping at Kinta Valley (Malaysia) using the evidential belief function model in GIS
Pradhan, Biswajeet; Abokharima, Mohammed; Jebur, Mustafa; … - In: Natural Hazards 73 (2014) 2, pp. 1019-1042
Land subsidence is one of the frequent geological hazards worldwide. Urban areas and agricultural industries are the entities most affected by the consequences of land subsidence. The main objective of this study was to estimate the land subsidence (sinkhole) hazards at the Kinta Valley of...
Persistent link: https://www.econbiz.de/10010995626
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Estimation of soil erosion using RUSLE in Caijiamiao watershed, China
Pan, Jinghu; Wen, Yan - In: Natural Hazards 71 (2014) 3, pp. 2187-2205
through a geographic information system (GIS)-based approach. The soil erosion parameters were evaluated in different ways … practice P factor was from terraces that exist on slopes where crops are grown. By integrating the six-factor maps in GIS … decision maker and planners to take appropriate land management measures in the area. It thus indicates the RUSLE–GIS model is …
Persistent link: https://www.econbiz.de/10010995675
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Winter fog over the Indo-Gangetic Plains: mapping and modelling using remote sensing and GIS
Saraf, Arun; Bora, Ajoy; Das, Josodhir; Rawat, Vineeta; … - In: Natural Hazards 58 (2011) 1, pp. 199-220
Almost every year in the winter months (December–February), the vast Indo-Gangetic Plain south of the Himalaya is affected by dense fog. This fog is considered as radiational fog, and sometime it becomes smog (when it mixes with smoke). The typical meteorological, topographic and increasing...
Persistent link: https://www.econbiz.de/10010995949
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Back analysis of landslide susceptibility zonation mapping for the 2005 Kashmir earthquake: an assessment of the reliability of susceptibility zoning maps
Kamp, Ulrich; Owen, Lewis; Growley, Benjamin; Khattak, … - In: Natural Hazards 54 (2010) 1, pp. 1-25
The October 2005 earthquake triggered several thousand landslides in the Lesser Himalaya of Kashmir in northern Pakistan and India. Analyses of ASTER satellite imagery from 2001 were compared with a study undertaken in 2005; the results show the extent and nature of pre- and co-/post-seismic...
Persistent link: https://www.econbiz.de/10010996029
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The analysis of 2004 flood on Kozdere Stream in Istanbul
Çelik, Hüseyin; Coskun, Gonca; Cigizoglu, H.; … - In: Natural Hazards 63 (2012) 2, pp. 461-477
-photo maps in the GIS environment. Since flow records of Kozdere are not available, flow values corresponding to different return …
Persistent link: https://www.econbiz.de/10010996130
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Assessing physical vulnerability in large cities exposed to flash floods and debris flows: the case of Arequipa (Peru)
Thouret, Jean-Claude; Ettinger, Susanne; Guitton, Mathieu; … - In: Natural Hazards 73 (2014) 3, pp. 1771-1815
Understanding the physical vulnerability of buildings and infrastructure to natural hazards is an essential step in risk assessment for large cities. We have interpreted high spatial resolution images, conducted field surveys, and utilized numerical simulations, in order to assess vulnerability...
Persistent link: https://www.econbiz.de/10010996401
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Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran
Pourghasemi, Hamid; Pradhan, Biswajeet; Gokceoglu, Candan - In: Natural Hazards 63 (2012) 2, pp. 965-996
using both fuzzy logic and analytical hierarchy process (AHP) models. At first, landslide locations were identified by … inventory was randomly split into a training dataset 70 % (55 landslides) for training the models and the remaining 30 % (23 … index. Subsequently, landslide susceptibility maps were produced using fuzzy logic and AHP models. For verification …
Persistent link: https://www.econbiz.de/10010996770
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Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models
Nourani, Vahid; Pradhan, Biswajeet; Ghaffari, Hamid; … - In: Natural Hazards 71 (2014) 1, pp. 523-547
distance to road were utilized for generation LSMs by various models: frequency ratio (FR), logistic regression (LR …), artificial neural network (ANN), and genetic programming (GP) methods in geographic information system (GIS). Finally, total four …
Persistent link: https://www.econbiz.de/10010997014
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Identification of potentially dangerous glacial lakes in the northern Tien Shan
Bolch, Tobias; Peters, Juliane; Yegorov, Alexandr; … - In: Natural Hazards 59 (2011) 3, pp. 1691-1714
(GLOFs). This paper presents a comprehensive approach by coupling of remote sensing, geomorphometric analyses aided with GIS … conditions which permitted to assess the influence of potential permafrost thawing. Finally, a GIS-based model was applied to …
Persistent link: https://www.econbiz.de/10010846603
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Waterlogging and flood hazards vulnerability and risk assessment in Indo Gangetic plain
Pandey, A.; Singh, Suraj; Nathawat, M. - In: Natural Hazards 55 (2010) 2, pp. 273-289
The recurrent flooding during monsoon and subsequent waterlogging in the northern Bihar plains and the magnitude of losses due to these hazards indicate the continuing vulnerability of the region to flood and waterlogging. Management of floods and waterlogging hazards in highly flood-prone...
Persistent link: https://www.econbiz.de/10010847007