Landslide Susceptibility Mapping Using Fuzzy-AHP

Landslide Susceptibility Mapping Using Fuzzy-AHP Geotech Geol Eng https://doi.org/10.1007/s10706-018-0583-y ORIGINAL PAPER Marzieh Mokarram Abdol Rassoul Zarei Received: 18 March 2018 / Accepted: 22 May 2018 Springer International Publishing AG, part of Springer Nature 2018 Abstract Landslides are as the movement of soil on Keywords Landslide hazard  Geographic slopes that they are one of the most common natural information system  Fuzzy quantifiers hazards in many mountainous areas. Landslides are recognized as an important natural hazard in many countries. So in the study, the geographic information system-based the fuzzy quantifier is used to determi- 1 Introduction nate the landslide susceptibility modeling in the north of Khorramabad, west of Kermanshah Province, Iran. Dangerous effects of landslides are in relation to the To determine the landslide susceptibility modeling economic system of many countries (Nefeslioglu et al. generated aspect, some input data were prepared such 2008). Landslide is one of the most widespread as the digital elevation model, lithology, slope, land hazardous phenomena (Aleotti and Chowdhury 1999). use, river, road, fault, and precipitation maps. Fuzzy There are different methods for landslide susceptibility map showed that almost all of the area was medium mapping such as probability and bivariate statistical landslide susceptibility that had the value close to http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Geotechnical and Geological Engineering Springer Journals

Landslide Susceptibility Mapping Using Fuzzy-AHP

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer International Publishing AG, part of Springer Nature
Subject
Earth Sciences; Geotechnical Engineering & Applied Earth Sciences; Hydrogeology; Terrestrial Pollution; Waste Management/Waste Technology; Civil Engineering
ISSN
0960-3182
eISSN
1573-1529
D.O.I.
10.1007/s10706-018-0583-y
Publisher site
See Article on Publisher Site

Abstract

Geotech Geol Eng https://doi.org/10.1007/s10706-018-0583-y ORIGINAL PAPER Marzieh Mokarram Abdol Rassoul Zarei Received: 18 March 2018 / Accepted: 22 May 2018 Springer International Publishing AG, part of Springer Nature 2018 Abstract Landslides are as the movement of soil on Keywords Landslide hazard  Geographic slopes that they are one of the most common natural information system  Fuzzy quantifiers hazards in many mountainous areas. Landslides are recognized as an important natural hazard in many countries. So in the study, the geographic information system-based the fuzzy quantifier is used to determi- 1 Introduction nate the landslide susceptibility modeling in the north of Khorramabad, west of Kermanshah Province, Iran. Dangerous effects of landslides are in relation to the To determine the landslide susceptibility modeling economic system of many countries (Nefeslioglu et al. generated aspect, some input data were prepared such 2008). Landslide is one of the most widespread as the digital elevation model, lithology, slope, land hazardous phenomena (Aleotti and Chowdhury 1999). use, river, road, fault, and precipitation maps. Fuzzy There are different methods for landslide susceptibility map showed that almost all of the area was medium mapping such as probability and bivariate statistical landslide susceptibility that had the value close to

Journal

Geotechnical and Geological EngineeringSpringer Journals

Published: May 28, 2018

References

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