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HOW CREDIBLE IS MY HAZARD MAP? DISSECTING A PREDICTION PATTERN OF LANDSLIDE SUSCEPTIBILITY

机译:我的危险地图有多可信?讨论滑坡敏感性的预测模式

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A hazard map is to represent the likelihood of future occurrences of hazardous events. Predicting the future, however, is far from easy and prone to uncertainty, misunderstanding and suspicion. This contribution presents a landslide-susceptibility prediction pattern that resembles a map but is a complex construction resulting from modelling and assumptions imposed on historical data. A mathematical model of spatial relationships, based on fuzzy sets, is applied to a spatial database that was constructed for landslide susceptibility studies in northern Italy. The resulting prediction pattern is dissected into its basic components to bring up the implied elements of spatial characterization, relevance of thematic input, assumptions in models and data, and visualization/interpretation of predicted scores. By the term prediction pattern we indicate the result of the classification of the study area into levels of relative susceptibility. Of particular relevance within the study area is the uncertainty associated with the scores, i.e., the ranks that classify the zones that are relatively more susceptible. Such a dissection is to lead to a confirmation of the credibility of the prediction pattern (hazard map?) based on the confidence gained by the comprehension of all elements integrated and assumptions made in its construction.
机译:危险图表示未来发生危险事件的可能性。然而,预测未来远非易事,容易产生不确定性,误解和怀疑。该贡献提供了类似于地图的滑坡敏感性预测模式,但是由于对历史数据进行了建模和假设,因此该结构非常复杂。基于模糊集的空间关系数学模型被应用于为意大利北部滑坡敏感性研究而构建的空间数据库。生成的预测模式被分解为其基本组成部分,以提出空间表征,主题输入的相关性,模型和数据中的假设以及预测分数的可视化/解释的隐含元素。通过术语预测模式,我们可以将研究区域划分为相对敏感性水平的结果。在研究区域内特别相关的是与分数相关的不确定性,即对较易受影响区域进行分类的等级。这样的剖析将基于对所有集成元素的理解和对其构造所做的假设所获得的置信度,来确定预测模式(危险图?)的可信度。

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