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Determinants of spatial variation of urban boundaries of cities : emerging evidence from a panel data investigation

Kaimaris, Dimitris; Alexiou, Constantinos; Soliopoulou, … - In: International journal of economics 8 (2014) 1, pp. 41-47

Persistent link: https://www.econbiz.de/10010422139

Assessment of ecotourism potentiality in GHNPCA, Himachal Pradesh, India, using remote sensing, GIS and MCDA techniques

Sahani, Nemai - In: Asia-Pacific journal of regional science 3 (2019) 2, pp. 623-646

Persistent link: https://www.econbiz.de/10012040865

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

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

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

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

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

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

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

The main goal of this study is to produce landslide susceptibility maps of a landslide-prone area (Haraz) in Iran by using both fuzzy logic and analytical hierarchy process (AHP) models. At first, landslide locations were identified by aerial photographs and field surveys, and a total of 78...

Persistent link: https://www.econbiz.de/10010996770

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

), artificial neural network (ANN), and genetic programming (GP) methods in geographic information system (GIS). Finally, total four …

Persistent link: https://www.econbiz.de/10010997014