DOI: 10.5194/hess-18-2127-2014
Scopus记录号: 2-s2.0-84904813745
论文题名: The influence of grid resolution on the prediction of natural and road-related shallow landslides
作者: Penna D ; , Borga M ; , Aronica G ; T ; , Brigandì G ; , Tarolli P
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期: 6 起始页码: 2127
结束页码: 2139
语种: 英语
Scopus关键词: Catchments
; Forestry
; Quality control
; Roads and streets
; Runoff
; Storms
; Temperature control
; Artificial structures
; Coarser resolution
; Contributing areas
; Digital terrain model
; Forest road networks
; Mediterranean landscapes
; Shallow landsliding
; Terrain attributes
; Landslides
; Earth Movement
; Forestry
; Quality Control
; Runoff
; Temperature Control
英文摘要: This work evaluates the predictive power of the quasi-dynamic shallow landslide model QD-SLaM to simulate shallow landslide locations in a small-scale Mediterranean landscape, namely, the lower portion (2.6 km2) of the Giampilieri catchment, located in Sicily (Italy). The catchment was impacted by a sequence of high-intensity storms over the years 2007-2009, resulting in widespread landsliding, with a total landslide initiation area amounting to 2.6% of the basin area. The effect of high-resolution digital terrain models (DTMs) on the quality of model predictions is tested by considering four DTM resolutions: 2, 4, 10 and 20 m. Moreover, the impact of the dense forest road network on the model performance is evaluated by separately considering road-related landslides and natural landslides. The landslide model does not incorporate the description of road-related failures and is applied without calibration of the model parameters. The model predictive power is shown to be DTM-resolution dependent. Use of coarser resolution has a smoothing effect on terrain attributes, with local slope angles decreasing and contributing areas becoming larger. The percentage of watershed area represented by the model as unconditionally unstable (i.e. failing even without the addition of water from precipitation) ranges between 6.3% at 20m DTM and 13.8% at 2m DTM, showing an overestimation of the mapped landslide area. We consider this prediction as an indication for likely failing sites in future storms rather than areas proved stable during previous storms. When assessed over the sample of mapped non-road-related landslides, better model performances are reported for 4 and 10m DTM resolution, thus highlighting the fact that higher DTM resolution does not necessarily mean better model performances. Model performances over road-related failures are lower than for the natural cases, and slightly increase with decreasing DTM resolution. These findings indicate that to realize the full potential of high-resolution topography, more extensive work is needed aiming more specifically to identify the extent of the artificial structures and their impact on shallow landsliding processes. © Author(s) 2014. CC Attribution 3.0 License. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78223
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Land, Environment, Agriculture and Forestry, University of Padova, Agripolis, viale dell'Università 16, 35020 Legnaro PD, Italy; Department of Civil Engineering, University of Messina, Contrada di Dio, Villaggio S. Agata, 98166 Messina, Italy; Dept. of Environmental Systems Science, Swiss Federal Institute of Technology (ETH), Universitätstrasse 16, 8092, Zurich, Switzerland
Recommended Citation:
Penna D,, Borga M,, Aronica G,et al. The influence of grid resolution on the prediction of natural and road-related shallow landslides[J]. Hydrology and Earth System Sciences,2014-01-01,18(6)