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首页> 外文会议>Risk analysis VII: simulation and hazard mitigation amp; Brownfields V: prevention, assessment, rehabilitation and development of brownfield sites >GIS applications for landslide susceptibility assessment: a case study in Iasi County (Moldavian Plateau, Romania)
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GIS applications for landslide susceptibility assessment: a case study in Iasi County (Moldavian Plateau, Romania)

机译：GIS在滑坡敏感性评估中的应用：以雅西县为例（罗马尼亚摩尔达维亚高原）

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摘要

In Romania, landslides are a frequent reality in the geomorphologic landscape, particularly in the plateau units, with favourable conditions for the occurrence of such phenomena. This paper focuses on the applicability of landslide susceptibility assessment, by using a logistic regression approach, to a sector of Iasi Cuesta in the Moldavian Plateau, where landslides happen to a significant extent. Ortophotoimages, topographical and geological maps were used as input data. The landslide inventory, multicriteria qualitative and quantitative analysis and GIS application have facilitated data processing and spatial visualization results. A database of landslide and landslide causative factors was constructed, consisting of several environmental data layers: land use as a qualitative variable and geomorphometrical parameters as quantitative variables. The latter were obtained from a DEM, at a resolution of 20×20 m, derived from 1:25,000 topographic maps. Application of this model at the scale of one small administrative unit (commune) shows that landslide occurrence is best explained by terrain slope, land use and altitude. The landslide susceptibility map reveals that terrains displaying high and very high susceptibility represent about 29% of the study area. The logistic regression model seems to be an adequate tool for the assessment of landslide susceptibility in an objective and quantitative manner, providing also parameters allowing the evaluation of the output quality. Starting from primary data sources at fine scales (1:5000), our model may be extended to other similar regions in the Moldavian Plateau.
机译：在罗马尼亚，滑坡是地貌景观中经常发生的情况，特别是在高原地区，为发生这种现象提供了有利条件。本文通过对数回归分析，重点研究了滑坡易感性评估在摩尔多瓦高原Iasi Cuesta地区发生滑坡的可能性方面的适用性。正射影像，地形图和地质图被用作输入数据。滑坡清单，多标准定性和定量分析以及GIS应用促进了数据处理和空间可视化结果。建立了一个滑坡和滑坡成因因素数据库，该数据库由几个环境数据层组成：土地使用作为定性变量，地貌参数作为定量变量。后者是从DEM获得的，分辨率为20×20 m，得自1：25,000地形图。该模型在一个小行政单位（公社）规模上的应用表明，滑坡的发生最好用地形坡度，土地利用和海拔来解释。滑坡敏感性图显示，高敏感性和极高敏感性的地形约占研究区域的29％。逻辑回归模型似乎是客观和定量评估滑坡敏感性的适当工具，还提供了可评估产出质量的参数。从精细规模（1：5000）的主要数据源开始，我们的模型可能会扩展到摩尔达维亚高原的其他类似区域。

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