| DOI: | 10.1007/s11069-021-04502-5
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| 论文题名: | GIS-based spatial landslide distribution analysis of district Neelum, AJ&K, Pakistan |
| 作者: | Naseer S.; Haq T.U.; Khan A.; Tanoli J.I.; Khan N.G.; Qaiser F.-U.-R.; Shah S.T.H.
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| 刊名: | Natural Hazards
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| ISSN: | 0921030X
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| 出版年: | 2021
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| 卷: | 106, 期:1 | | 起始页码: | 965
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| 结束页码: | 989
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| 语种: | 英语
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| 中文关键词: | Concentration
; Data
; Function
; Landslide
; Slope
; Spatial distribution
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| 英文关键词: | data set
; GIS
; image analysis
; landslide
; mass movement
; slope dynamics
; slope stability
; spatiotemporal analysis
; Pakistan
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| 英文摘要: | The Landslide happens in mountainous regions due to the catastrophe of slope through intensive rain and seismicity. The Himalayas is one of the susceptible parts of the world in the perspective of slope catastrophe hazard; i.e., Mass Movement, especially Neelum valley is considerable destruction of community infrastructure, highway, and critically disturbed the tourism segment. Landslide is a common and recurrent phenomenon in the northern mountainous terrain of Pakistan such as District Neelum. After the 2005 Kashmir earthquake, the importance of landslide investigation is increasing. The purpose of this research is to establish a brief landslide inventory and to determine the relationship of landslides with causative factors by spatial distribution analysis. With the aid of Google Earth imageries and field visits, a total of 618 landslides were identified in the study area of 3621 km. These landslide localities compared with causative factors. Finally, distribution maps are generated and analyse their feature class through Digital Elevation Model and ArcGIS. Landslide intensity is calculated in terms of landslide concentration. Landslide concentration (LC) is significantly found very high in slope gradient less than 30 (1.21) and the first 100 m zone around the road network (15.06). A bit higher landslide frequency is noted in east orienting slopes. In the first 100 m, zone road network and drainage networks are 83.49% and 62.78% of the total landslide occurs having LC value 4.6, respectively. The analysis shows that the steep slopes, an area closer to the road network, drainage network, barren lands, and Quaternary alluvium of loose material are more susceptible to landslides. In addition, a landslide classification map is also prepared on the basis of field observation that shows that debris slides are more dominating. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/169246
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| Appears in Collections: | 气候变化与战略
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作者单位: | Department of Earth Sciences, COMSATS University Islamabad, Abbottabad, Pakistan
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| Recommended Citation: | |
Naseer S.,Haq T.U.,Khan A.,et al. GIS-based spatial landslide distribution analysis of district Neelum, AJ&K, Pakistan[J]. Natural Hazards,2021-01-01,106(1)
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