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首页> 外文期刊>Journal of African Earth Sciences >Landslide susceptibility zonation mapping using GIS-based frequency ratio model with multi-class spatial data-sets in the Adwa-Adigrat mountain chains, northern Ethiopia
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Landslide susceptibility zonation mapping using GIS-based frequency ratio model with multi-class spatial data-sets in the Adwa-Adigrat mountain chains, northern Ethiopia

机译：埃塞俄比亚北部Adwa-Adigrat山区链中使用基于GIS的频率比率模型和多类空间数据集的滑坡敏感性分区图

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摘要

Different organizations reported that natural hazards related disasters killed hundreds of people and damaged infrastructures estimated millions of dollars every year worldwide. The purpose of this research was to generate landslide susceptibility zonation (LSZ) map for the first time and understand the main landside conditioning factors in the Adwa-Adigrat mountain chain (about 2540 km(2)). At initial stage, landslide inventory map was prepared using classical fieldwork, stereo aerial photographic analysis and interpretations (API) and Google Earth (TM) (GE) image interpretations. A total of 546 landslides were identified, located and delineated. Rock fall was the dominant type of landslide (170), while rock slide was the smallest (only 28 rock slides). Nearly 7.6% of the total study area is found to be affected by past and active landslides. Five spatial data-sets or landslide conditioning factors: lithology, land use and land cover, distance from streams, distance from lineament/faults, slope aspect and slope angle maps were prepared and analyzed. Frequency ratio (FR) model was used to generate LSZ map. The generated LSZ map was classified into very low, low, moderate, high and very high susceptibility zones. The validation and verification of the LSZ map was carried out using the accuracy statistics approach and the area under the curve (AUC) methods. Both methods confirmed the reliability and good fit of the FR method for the present study area. It was observed that 73.8% of the past landslides fell in the high and very high susceptibility zones. In mountain chains, field studies for landslide inventory and LSZ mapping is important. The produced LSZ map can help to predict and mitigate landslide related damages and risks, and future land use planning.
机译：不同的组织报告说，与自然灾害相关的灾难每年导致数百人丧生，基础设施受损，估计每年有数百万美元。这项研究的目的是第一次生成滑坡敏感性分区图（LSZ），并了解Adwa-Adigrat山脉（约2540 km（2））中的主要陆侧条件因素。在初始阶段，使用经典野外工作，立体航空摄影分析和解释（API）和Google Earth（TM）（GE）图像解释来编制滑坡清单地图。总共确定，定位和划定了546个滑坡。崩塌是滑坡的主要类型（170个），而滑坡最小（仅28个）。发现整个研究区域中有近7.6％受过往和活跃的滑坡影响。编制并分析了五个空间数据集或滑坡条件因素：岩性，土地利用和土地覆盖，距溪流的距离，距地貌/断层的距离，坡度和坡度角图。频率比（FR）模型用于生成LSZ图。生成的LSZ图被分为极低，低，中，高和极高磁化率区。使用精度统计方法和曲线下面积（AUC）方法对LSZ地图进行验证和验证。两种方法都证实了FR方法在当前研究领域的可靠性和良好的适用性。可以观察到，过去的滑坡的73.8％属于高易感性地区。在山区链中，对滑坡清单和LSZ绘图进行野外研究很重要。生成的LSZ地图可以帮助预测和减轻与滑坡相关的破坏和风险，以及未来的土地利用规划。

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  • 来源
    《Journal of African Earth Sciences》 |2020年第4期|103795.1-103795.15|共15页
  • 作者

  • 作者单位

    Mekelle Univ Sch Earth Sci Mekele Ethiopia;

    Aksum Univ Sch Mines Axum Ethiopia;

    Az Zawiyah Univ Geol Dept Az Zawiyah Libya;

    Mekelle Univ Ethiopian Inst Technol Mekelle Mekele Ethiopia;

    Mekelle Univ Inst Geoinformat & Earth Observat Sci Mekele Ethiopia;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Adwa-Adigrat; Landslide-damage; Frequency ratio; Lithology;

    机译：Adwa-Adigrat;滑坡破坏;频率比;岩性;

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