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首页> 外文期刊>Natural hazards and earth system sciences >Effects of different land use and land cover data on the landslide susceptibility zonation of road networks
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Effects of different land use and land cover data on the landslide susceptibility zonation of road networks

机译：不同土地利用与土地覆盖数据对道路网络滑坡敏感性区划的影响

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摘要

This work evaluates the influence of land use and land cover (LUC) data with different properties on the landslide susceptibility zonation of the road network in the Zezere watershed (Portugal). The information value method was used to assess the landslide susceptibility using two models: one including detailed LUC data (the Portuguese Land Cover Map - COS) and the other including more generalized LUC data (the CORINE Land Cover - CLC). A set of fixed independent layers was considered as landslide predisposing factors (slope angle, slope aspect, slope curvature, slope-over-area ratio, soil, and lithology) while COS and CLC were used to find the differences in the landslide susceptibility zonation. A landslide inventory was used as a dependent layer, including 259 shallow landslides obtained from the photointerpretation of orthophotos from 2005, and further validated in three sample areas. The landslide susceptibility maps were assigned to the road network data and resulted in two landslide susceptibility road network maps. The models' performance was evaluated with prediction and success rate curves and the area under the curve (AUC). The landslide susceptibility results obtained in the two models present a high accuracy in terms of the AUC (>90 %), but the model with more detailed LUC data (COS) produces better results in the landslide susceptibility zonation on the road network with the highest landslide susceptibility.
机译：这项工作评估了土地利用和陆地覆盖（LUC）数据对不同性质的影响，对Zezere流域（葡萄牙）的道路网络滑坡敏感性区分区的影响。信息值方法用于评估使用两种模型的滑坡易感性：一个包括详细的LUC数据（葡萄牙陆地覆盖地图 - COS），另一个包括更多的广义LUC数据（冠覆盖 - CLC）。一组固定独立层被认为是滑坡预测因子（斜坡角，坡度，斜率曲率，坡度过面积比，土壤和岩性），而COS和CLC用于找到滑坡敏感性区分的差异。使用山体滑坡库存用作依赖层，包括从2005年的正原耳的光接合获得259个浅层滑坡，并在三个样本区域进一步验证。山体滑坡易感性图分配给道路网络数据，导致了两个滑坡易感性道路网图。使用预测和成功率曲线和曲线下的区域（AUC）评估模型的性能。在两种模型中获得的滑坡易感性结果在AUC（> 90％）方面呈现出高精度，但具有更详细的LUC数据（COS）的模型在路线上具有最高的道路网络上的山体滑坡敏感性区分滑坡易感性。

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    Meneses Bruno M.; Pereira Susana; Reis Eusebio;

  • 作者单位

    Univ Lisbon Ctr Geog Studies Inst Geog &

    Spatial Planning Edif IGOT Rua Branca Edmee Marques P-1600276 Lisbon Portugal;

    Univ Lisbon Ctr Geog Studies Inst Geog &

    Spatial Planning Edif IGOT Rua Branca Edmee Marques P-1600276 Lisbon Portugal;

    Univ Lisbon Ctr Geog Studies Inst Geog &

    Spatial Planning Edif IGOT Rua Branca Edmee Marques P-1600276 Lisbon Portugal;

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  • 正文语种 eng
  • 中图分类 地球物理学;
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