Landslide susceptibility assessment using Frequency Ratio, a case study of northern Pakistan

Khan, Hawas; Shafique, Muhammad; Khan, Muhammad Asif; Bacha, Mian A.; Shah, Safeer Ullah; Calligaris, Chiara

doi:10.1016/j.ejrs.2018.03.004

Cited by 139 publications

(96 citation statements)

References 41 publications

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“…The frequency ratio (FR) model represents a bivariate statistical method which is widely used in research for landslide and flood prediction mapping [24,29,31,32,47,63]. The present paper proposes the use of the FR model to map the areas prone to floods and flash-floods in the Buzău river catchment.…”

Section: Frequency Ratio Model (Fr)mentioning

confidence: 99%

“…The results of the abovementioned analyses were translated into a GIS environment, thus resulting in flood and flash-flood hazard maps. These methods are widely used in research in studies which aim to provide landslide or flood mapping [24,[31][32][33][34]. The performance validation of the proposed models has been done using receiver operating characteristic (ROC) curves.…”

Section: Introductionmentioning

confidence: 99%

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Flood Hazard Mapping Using the Flood and Flash-Flood Potential Index in the Buzău River Catchment, Romania

Popa

Peptenatu

Drăghici

et al. 2019

Water

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The importance of identifying the areas vulnerable for both floods and flash-floods is an important component of risk management. The assessment of vulnerable areas is a major challenge in the scientific world. The aim of this study is to provide a methodology-oriented study of how to identify the areas vulnerable to floods and flash-floods in the Buzău river catchment by computing two indices: the Flash-Flood Potential Index (FFPI) for the mountainous and the Sub-Carpathian areas, and the Flood Potential Index (FPI) for the low-altitude areas, using the frequency ratio (FR), a bivariate statistical model, the Multilayer Perceptron Neural Networks (MLP), and the ensemble model MLP–FR. A database containing historical flood locations (168 flood locations) and the areas with torrentiality (172 locations with torrentiality) was created and used to train and test the models. The resulting models were computed using GIS techniques, thus resulting the flood and flash-flood vulnerability maps. The results show that the MLP–FR hybrid model had the most performance. The use of the two indices represents a preliminary step in creating flood vulnerability maps, which could represent an important tool for local authorities and a support for flood risk management policies.

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Section: Frequency Ratio Model (Fr)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Flood Hazard Mapping Using the Flood and Flash-Flood Potential Index in the Buzău River Catchment, Romania

Popa

Peptenatu

Drăghici

et al. 2019

Water

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“…(Ayalew et al, 2004(Ayalew et al, , 2005Basharat et al, 2016;Ohlmacher and Davis, 2003;Rozos et al, 2011;Shahabi and Hashim, 2015;Süzen and Doyuran, 2004). Previously, landslide susceptibility maps of different fragments of northern Pakistan were prepared Basharat et al, 2016;Ahmed et al, 2014;Kamp et al, 2008;Kanwal et al, 2016;Khan et al, 2018;Rahim et al, 2018) (Table 1). They used a single model-based method, except two (Ahmed et al, 2014;Bacha et al, 2018) compared performances of two different models.…”

Section: Introductionmentioning

confidence: 99%

“…They used a single model-based method, except two (Ahmed et al, 2014;Bacha et al, 2018) compared performances of two different models. Ahmed et al (2014), Kanwal et al (2016) and Rahim et al (2018) used a regional geological map (1 : 500 000) to produce a landslide susceptibility map of the Upper Indus basin, whereas inventories were based on published rock avalanche maps (Kanwal et al, 2016), geomorphological mapping (Ahmed et al, 2014), co-seismic landslides (Basharat et al, 2016) and remote sensing along with field mapping Khan et al, 2018). Geological, geomorphological and human-induced parameters were also considered for production of susceptibility maps (Table 1).…”

Section: Introductionmentioning

confidence: 99%

Landslide susceptibility mapping by using a geographic information system (GIS) along the China–Pakistan Economic Corridor (Karakoram Highway), Pakistan

Ali

Biermanns

Haider³

et al. 2019

Nat. Hazards Earth Syst. Sci.

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The Karakoram Highway (KKH) is an important route, which connects northern Pakistan with Western China. Presence of steep slopes, active faults and seismic zones, sheared rock mass, and torrential rainfall make the study area a unique geohazards laboratory. Since its construction, landslides constitute an appreciable threat, having blocked the KKH several times. Therefore, landslide susceptibility mapping was carried out in this study to support highway authorities in maintaining smooth and hazard-free travelling. Geological and geomorphological data were collected and processed using a geographic information system (GIS) environment. Different conditioning and triggering factors for landslide occurrences were considered for preparation of the susceptibility map. These factors include lithology, seismicity, rainfall intensity, faults, elevation, slope angle, aspect, curvature, land cover and hydrology. According to spatial and statistical analyses, active faults, seismicity and slope angle mainly control the spatial distribution of landslides. Each controlling parameter was assigned a numerical weight by utilizing the analytic hierarchy process (AHP) method. Additionally, the weighted overlay method (WOL) was employed to determine landslide susceptibility indices. As a result, the landslide susceptibility map was produced. In the map, the KKH was subdivided into four different susceptibility zones. Some sections of the highway fall into high to very high susceptibility zones. According to results, active faults, slope gradient, seismicity and lithology have a strong influence on landslide events. Credibility of the map was validated by landslide density analysis (LDA) and receiver oper-ator characteristics (ROC), yielding a predictive accuracy of 72 %, which is rated as satisfactory by previous researchers.Published by Copernicus Publications on behalf of the European Geosciences Union.

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“…Paola Reichenbach et al (2018) classed 23 landslide impact factors into five groups of causatives which are: geological, hydrological, land cover, morphological and other factors. Nevertheless, the proportion of contribution of the causative factors to landslide occurrence is different depending on spatial, temporal distributions of the event [1,2,3,4,5]. Recent studies which focus on Asian countries such as China, Taiwan, Korea and Japan indicate that duration and magnitude of rainfall are primary causatives of landslides in mountainous areas [3,5].…”

Section: Introductionmentioning

confidence: 99%

Studies on the causes of landslides for mountainous regions in central region of Vietnam

Chí¹

2019

jst

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Landslide is a complex geo-hazard which impacts on sustainable social-economic development in the mountain area. This phenomenon is a result of a combination of critical natural and artificial conditions of many impact factors such as topographic attribute, infrastructure constructions, geology, land cover, and rainfall. Estimating the contribution weights of these factors plays a significant role in disaster management activities. This study focuses on three provinces which are Hue, Quang Nam and Quang Ngai which are frequently and severely impacted by landslide in the central region of Vietnam. Historical events are investigated by statistical analysis, field survey with supports from GIS to figure out these significant factors to landslide occurring in the study area. The result has illustrated landslide increases, according to the development of human activities and long duration critical rainfall.

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Landslide susceptibility assessment using Frequency Ratio, a case study of northern Pakistan

Cited by 139 publications

References 41 publications

Flood Hazard Mapping Using the Flood and Flash-Flood Potential Index in the Buzău River Catchment, Romania

Flood Hazard Mapping Using the Flood and Flash-Flood Potential Index in the Buzău River Catchment, Romania

Landslide susceptibility mapping by using a geographic information system (GIS) along the China–Pakistan Economic Corridor (Karakoram Highway), Pakistan

Studies on the causes of landslides for mountainous regions in central region of Vietnam

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