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A comparative study on the integrative ability of the analytical hierarchy process, weights of evidence and logistic regression methods with the Flow-R model for landslide susceptibility assessment

机译:分析层次过程的综合能力,对滑坡敏感性评估流量-R模型的综合能力,证据权重的比较研究

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The main purpose of the present study is to compare the results of the integrated models, the weights of evidence (WoE), analytical hierarchical process (AHP) and logistic regression (LR) models combine with a Flow-R model for landslide susceptibility assessment in Ha Giang city, Vietnam and the surrounding areas. First, three landslide susceptibility index (LSI) maps were calculated using thirteen landslide conditioning factor maps. Then, a runout map was generated by Flow-R model using the digital elevation model and the slope map of the study area. Secondly, the success rate curve, prediction rate curve and area under the curves (AUC) were calculated to assess prediction capability. The final landslide susceptibility maps were produced by the integration of the LSI maps with the runout map that was extracted from FlowR model. The validation results showed that the AUC of LSI maps in the integrated models, AHP-FlowR, WoE-FlowR and LR-FlowR, were 82.89%, 88.15% and 86.53% with prediction accuracies of 80.41%, 84.94% and 85.71%, respectively. The combined models of WoE-FlowR (88.15%) and LR-FlowR (86.53%) have shown the highest prediction capability. In general, the integrated models provide reasonable results that may be aided in prevention planning and land use planning purposes.
机译:本研究的主要目的是比较综合模型的结果,证据的权重(WOE),分析等级过程(AHP)和逻辑回归(LR)模型与用于滑坡敏感性评估的流量-R模型相结合Ha Giang City,越南和周边地区。首先,使用十三个滑坡调节因子图计算三个滑坡敏感性指数(LSI)地图。然后,使用流量-R模型使用数码高程模型和研究区域的斜率图产生跳动映射。其次,计算了曲线(AUC)下的成功率曲线,预测率曲线和面积以评估预测能力。最终滑坡敏感性图是通过将LSI映射与从Flowr模型提取的跳动映射的集成来产生的。验证结果表明,综合模型,AHP-FlowR,WOE-FLUCR和LR-FLUPR中LSI地图的AUC分别为82.89%,88.15%和86.53%,预测精度分别为80.41%,84.94%和85.71% 。 WOE-FLUPR的组合模型(88.15%)和LR-FLOWR(86.53%)显示了最高的预测能力。通常,集成模型提供了合理的结果,可以在预防计划和土地利用规划目的中辅助。

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