首页> 外文会议>International Society for Photogrammetry and Remote Sensing Congress >SPATIAL DATA ANALYSIS FOR THE ASSESSMENT OF SLOPE INSTABILITY; APPLICATION TO EIA FOR A CASE STUDY IN THE VERGARA-EIBAR AREA, GUIPUZCOA, SPAIN
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SPATIAL DATA ANALYSIS FOR THE ASSESSMENT OF SLOPE INSTABILITY; APPLICATION TO EIA FOR A CASE STUDY IN THE VERGARA-EIBAR AREA, GUIPUZCOA, SPAIN

机译:坡度不稳定评估的空间数据分析;在西班牙贵巴佐卡,西班牙贵族地区申请EIA案例研究

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The assessment of both hazards and impacts of human activities on geomorphological processes must be based on a detailed analysis of terrain dynamics and behaviour, prior to the proposed new actions. Knowledge of former behaviour provides extremely useful clues for predicting probable impacts. In the case of slope instability processes, the analysis must include mapping of conditioning factors and past movements and identification of triggering factors. This work presents the results of an analysis carried out in the Eibar-Vergara area. The analysis was based on the construction of digital maps for a variety of data layers. Thematic maps included the main conditioning factors of slope movements: surficial geology, geomorphology, DTM (from which several derivative maps were obtained), land cover, type and distribution of past landslides. Spatial data analysis was carried out by means of Favourability Functions, on the basis of statistical relationships between former movements and conditioning factors, to determine landslide susceptibility. The analyses were performed and tested through two types of comparisons: a) spatial comparison; a part of the study area was analysed and compared with another, used as test area; b) temporal comparison; movements prior to a certain date were analysed and later movements used as test group. Landslide susceptibility maps thus obtained were then used as a basis for EIA of a proposed motorway. The least impacting alternative was selected through the intersection of potentially unstable areas and motorway routes. Using simple predictive models, based on a series of scenarios, potential impacts were estimated.
机译:在拟议的新行动之前,对人类活动对人类活动的危害和影响人类活动的影响必须基于对地形动态和行为的详细分析。了解前行为提供了极其有用的线索,以预测可能的影响。在斜坡不稳定性过程的情况下,分析必须包括调节因子和过去运动的映射以及触发因子的识别。这项工作提出了Eibar-Vergara地区进行了分析的结果。该分析基于各种数据层的数字地图的构造。主题地图包括斜坡运动的主要条件因素:表格地质,地貌,DTM(获得了几种衍生地图),陆地覆盖,类型和过去山体滑坡的分布。基于前运动和调理因素之间的统计关系,通过增强功能进行空间数据分析,以确定滑坡易感性。通过两种类型的比较进行并测试分析:a)空间比较;分析了研究区的一部分,并与另一部分相比,用作测试区域; b)时间比较;分析了某个日期前的运动,并以后用作试验组。然后将由此获得的滑坡敏感性图用作建议高速公路的EIA的基础。通过潜在不稳定区域和高速公路路线的交叉来选择最少的影响替代品。使用简单的预测模型,基于一系列情景,估计潜在的影响。

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