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Hazard Assessment of Debris-Flow along the Baicha River in Heshigten Banner Inner Mongolia China

机译:内蒙古黑石天旗白茶河沿岸泥石流危险性评估

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摘要

This study focused on a cloud model approach for considering debris-flow hazard assessment, in which the cloud model provided a model for transforming the qualitative and quantitative expressions. Additionally, the entropy method and analytical hierarchy process were united for calculating the parameters weights. The weighting method avoids the disadvantages inherent in using subjective or objective methods alone. Based on the cloud model and component weighting method, a model was established for the analysis of debris-flow hazard assessment. There are 29 debris-flow catchments around the pumped storage power station in the study area located near Zhirui (Inner Mongolia, China). Field survey data and 3S technologies were used for data collection. The results of the cloud model calculation process showed that of the 29 catchments, 25 had low debris-flow hazard assessment, three had moderate hazard assessment, and one had high hazard assessment. The widely used extenics method and field geological surveys were used to validate the proposed approach. This approach shows high potential as a useful tool for debris-flow hazard assessment analysis. Compared with other prediction methods, it avoids the randomness and fuzziness in uncertainty problems, and its prediction results are considered reasonable.
机译:这项研究的重点是考虑泥石流危害评估的云模型方法,其中云模型提供了用于转换定性和定量表达的模型。此外,结合了熵方法和层次分析法来计算参数权重。加权方法避免了仅使用主观或客观方法固有的缺点。基于云模型和组分权重方法,建立了泥石流灾害评价分析模型。研究区域位于直瑞(中国内蒙古)附近的抽水蓄能电站周围有29个泥石流集水区。现场调查数据和3S技术用于数据收集。云模型计算过程的结果表明,在29个流域中,有25个泥石流危险性评估较低,其中3个危险性评估为中等,其中1个危险性评估为高。广泛使用的可拓方法和现场地质调查被用来验证该方法。这种方法具有很高的潜力,可作为泥石流危害评估分析的有用工具。与其他预测方法相比,它避免了不确定性问题中的随机性和模糊性,其预测结果被认为是合理的。

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