A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics
A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics
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DOI：
10.1016/j.catena.2011.01.014
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发表时间：
2011-06
期刊：
影响因子：
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通讯作者：
A. Yalçın;Sally M. Reis;A. C. Aydinoglu;T. Yomralioglu
中科院分区：
文献类型：
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作者：
A. Yalçın;Sally M. Reis;A. C. Aydinoglu;T. Yomralioglu
在过去的几十年里，许多研究人员利用概率法(频率比)、层次分析法(AHP)、二元、多元、逻辑回归、模糊逻辑和人工神经网络等技术制作了滑坡易感性图。此外，还建议使用岩性、坡度、坡向、土地覆盖、高程、到溪流的距离、排水密度、到线形的距离、地震活动和到公路的距离等参数来分析滑坡的机制。在滑坡研究中，数据质量是一个非常重要的问题，如果数据充足、合适、参数范围广，就会得到更准确的结果。这项研究的目的是评估位于土耳其东北部的特拉布松省发生山体滑坡的易感性。这是利用以下五种方法实现的：频率比模型、层次分析法、统计指数(Wi)、加权因子(WF)方法和结合地理信息系统(GIS)和遥感技术的物流回归模型。在特拉布宗省，降雨引发的山体滑坡事件越来越多。这些山体滑坡已造成死亡、重伤、财产和当地基础设施受损，进一步山体滑坡的威胁仍在继续。为了减少这一现象的影响，有必要对滑坡易发区进行科学评估。为此，绘制了滑坡易感区域图，并采用5种不同方法对滑坡发生参数进行了分析。利用包含50个滑坡活跃区的滑坡活跃图证实了这五个分析的结果。确定了测定结果更准确的方法。验证过程表明，WF方法的预测效果优于频数比模型、层次分析法、统计指数(Wi)和Logistic回归模型。
Over the last few decades, many researchers have produced landslide susceptibility maps using different techniques including the probability method (frequency ratio), the analytical hierarchy process (AHP), bivariate, multivariate, logistics regression, fuzzy logic and artificial neural network In addition, a number of parameters such as lithology, slope, aspect, land cover, elevation, distance to stream, drainage density, distance to lineament, seismicity, and distance to road are recommended to analyze the mechanism of landslides. The data quality is a very important issue in landslide studies, and more accurate results will be achieved if the data is adequate, appropriate and drawn from a wide range of parameters. The aim of this study was to evaluate the susceptibility of the occurrence of landslides in Trabzon province, situated in north east Turkey. This was achieved using the following five methods the frequency ratio model, AHP, the statistical index (Wi), weighting factor (Wf) methods, and the logistics regression model, incorporating a Geographical Information System (GIS) and remote sensing techniques. In Trabzon province there has been an increasing occurrence of landslides triggered by rainfall. These landslides have resulted in death, significant injury, damage to property and local infrastructure and threat of further landslides continues. In order to reduce the effects of this phenomenon, it is necessary to scientifically assess the area susceptible to landslide. To achieve this, landslide susceptible areas were mapped the landslide occurrence parameters were analyzed using five different methods. The results of the five analyses were confirmed using the landslide activity map containing 50 active landslide zones. Then the methods giving more accurate results were determined. The validation process showed that the Wf method is better in prediction than the frequency ratio model, AHP, the statistical index (Wi), and logistics regression model.