A regional level preliminary landslide susceptibility study of the upper Indus river basin

Ahmed, Muhammad Farooq; Rogers, J. David; Ismail, Elamin H.

doi:10.5721/eujrs20144721

Cited by 74 publications

(31 citation statements)

References 52 publications

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“…For this reason, the slope has been considered as an important factor in this study as well. [9] expresses that, according to the documented land and Moreover, the finding demonstrated that the weaker rocks which are loosely held are more prone to falling. It is widely recognized that geology of an area, greatly influences the occurrence of landslides and rock falls in that particular area.…”

Section: Discussionmentioning

confidence: 91%

“…The aspect map (Figure 2 to certain elevations [10]. [9] investigated that 64% of reported landslides were recorded at elevation of 2000 -4000 m and 24% were observed at elevation of 1000 -2000 m. Buffers were created around the drainage network and classified into 0 -500 m, 500 -1500 m, 1500 -2500 m, 2500 -5000 m and <5100 m (Figure 2(d)). Landslides increase if the distance to streams or rivers is decreased, due to slope instability which leads to erosion.…”

Section: Data Acquisition and Preparation Of Causative Factorsmentioning

confidence: 99%

“…Rainfall is an important landslide triggering factor, but it is limited to the monsoon season [9]. Rainfall raster data map was prepared using the Inverse Distance Weighted (IDW) interpolation.…”

Section: Data Acquisition and Preparation Of Causative Factorsmentioning

confidence: 99%

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GIS Based Landslide Susceptibility Mapping with Application of Analytical Hierarchy Process in District Ghizer, Gilgit Baltistan Pakistan

Rahim¹,

Ali²,

Aslam³

2018

GEP

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District Ghizer is a rugged mountainous territory which experiences several landslides each year. There are 16 major landslide areas and 53 villages that are at high risk to hazards. Keeping in view the severity of natural hazards, the present study was designed to generate landslide susceptibility map based on twelve causative factors viz., slope, aspect, elevation, drainage network, Stream Power Index (SPI), Topographic Wetness Index (TWI), lithological units, fault lines, rainfall, road network, land cover and soil texture. Soil texture was determined by particle size analysis and data for other factors were acquired from freely available sources. Analytical Hierarchy Process (AHP) was employed to identify major landslide causative factors in the district Ghizer. Further, a temporal assessment from 1999 till 2015 was generated to assess the impact of land cover change on landslides. It indicated that the barren soil/ exposed rocks and glaciers have reduced while the vegetation and water classes have shown increment. The total area that lies in moderate to very high landslide susceptible zones was 74.38%, while slope is the main landslide causative factor in the district Ghizer. Validation of the susceptibility map showed 88.1% of the landslides in the study area had occurred in the moderate to very high susceptible zones.

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Section: Discussionmentioning

confidence: 91%

Section: Data Acquisition and Preparation Of Causative Factorsmentioning

confidence: 99%

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GIS Based Landslide Susceptibility Mapping with Application of Analytical Hierarchy Process in District Ghizer, Gilgit Baltistan Pakistan

Rahim¹,

Ali²,

Aslam³

2018

GEP

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“…Among all parameters for LS zonation, elevation, slope and aspect have been recognized as the most important conditioning factors [6][7][8][9]. The elevation dataset is useful to classify the local relief and locate points of maximum and minimum heights within terrains.…”

Section: Introductionmentioning

confidence: 99%

GIS-Based Landslide Susceptibility Mapping on the Peloponnese Peninsula, Greece

2014

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In this paper, bivariate statistical analysis modeling was applied and validated to derive a landslide susceptibility map of Peloponnese (Greece) at a regional scale. For this purpose, landslide-conditioning factors such as elevation, slope, aspect, lithology, land cover, mean annual precipitation (MAP) and peak ground acceleration (PGA), and a landslide inventory were analyzed within a GIS environment. A landslide dataset was realized using two main landslide inventories. The landslide statistical index method (LSI) produced a susceptibility map of the study area and the probability level of landslide occurrence was classified in five categories according to the best classification method from three different methods tested. Model performance was checked by an independent validation set of landslide events. The accuracy of the final result was evaluated by receiver operating characteristics (ROC) analysis. The prediction ability was found to be 75.2% indicating an acceptable susceptibility map obtained from the GIS-based bivariate statistical model.

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“…For an earthquake event, landslides occur preferentially on the hillslope of specific orientation with respect to the earthquake's epicenter or fault (Tibaldi et al, 1995). Auer and Shakoor, 1989;Jakob, 2000;Liu and Shih, 2013;Ahmed et al, 2014;Smith and Wegmann, 2018) due to orographic rainfall. For a rainfall event, landslides are prone to occur on the windward hillslopes (e.g.…”

Section: Introductionmentioning

confidence: 99%

Controls of preferential orientation of earthquake‐ and rainfall‐triggered landslides in Taiwan's orogenic mountain belt

Chen

Chang

Wang

et al. 2019

Earth Surf Processes Landf

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Landsliding usually occurs on specific hillslope aspect, which may reflect the control of specific geo‐environmental factors, triggering factors, or their interaction. To explore this notion, this study used island‐wide landslide inventories of the Chi‐Chi earthquake in 1999 (MW = 7.6) and Typhoon Morakot in 2009 in Taiwan to investigate the preferential orientation of landslides and the controls of landslide triggers and geological settings. The results showed two patterns. The orientations of earthquake‐triggered landslides were toward the aspect facing away from the epicenter in areas with peak ground acceleration (PGA) ≥ 0.6 g and landslide ratio ≥ 1%, suggesting that the orientations were controlled by seismic wave propagation. Rainfall‐triggered landslides tended to occur on dip slopes, instead of the windward slopes, suggesting that geological settings were a more effective control of the mass wasting processes on hillslope scale than the rainfall condition. This study highlights the importance of the endogenic processes, namely seismic wave and geological settings, on the predesigned orientation of landslides triggered by either earthquake or rainfall, which can in turn improve our knowledge of landscape evolution and landslide prediction. © 2019 John Wiley & Sons, Ltd.

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A regional level preliminary landslide susceptibility study of the upper Indus river basin

Cited by 74 publications

References 52 publications

GIS Based Landslide Susceptibility Mapping with Application of Analytical Hierarchy Process in District Ghizer, Gilgit Baltistan Pakistan

GIS Based Landslide Susceptibility Mapping with Application of Analytical Hierarchy Process in District Ghizer, Gilgit Baltistan Pakistan

GIS-Based Landslide Susceptibility Mapping on the Peloponnese Peninsula, Greece

Controls of preferential orientation of earthquake‐ and rainfall‐triggered landslides in Taiwan's orogenic mountain belt

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