A GIS-based landslide susceptibility assessment and mapping around the Aba Libanos area, Northwestern Ethiopia

IF 2.3 Q2 REMOTE SENSING Applied Geomatics Pub Date : 2023-03-20 DOI:10.1007/s12518-023-00499-7
Dawit Asmare, Chalachew Tesfa, Mulusew Minuyelet Zewdie
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Abstract

The geological hazards caused by natural and manmade activities pose serious property damage, loss of life, and changes in the earth’s features. In this work, GIS-based landslide susceptibility mapping was carried out using the Analytical Hierarchy Process (AHP) and Frequency Ratio (FR) methods for the Chemoga River Sub-Basin (CRSB), in the Aba Libanos area in Northwestern Ethiopia. To produce a susceptibility map, eight influencing factors were selected. They are elevation, slope, aspect, Lithology, land use land cover, curvature, distance to drainage, and distance lineaments. All those influencing factors were statistically analyzed to decide their relationship to past landslides. The relationships between the observed landslide areas and these eight related factors were identified using GIS-based statistical models including AHP and FR. Detailed fieldwork (lithological description and mapping, geological structural measurements, and taking considerations for the impact of each influencing factor on the occurrence of landslides in the area) was conducted to interpret and produce the various maps of the study area. The AHP modeling susceptibility map of the study area was 9.6%, 15.4%, 29.7%, 27.8%, and 17.5% very low, low, moderate, high, and very high respectively. Similarly, based on the value of FR, the study area was classified into five susceptibility zones, 20.7%, 14.6%, 13.0%, 18.6%, and 33.0% very low, low, moderate, high, and very high respectively. Both results showed that steep side slopes and lineaments are very high landslide susceptibility zones. Lastly, the landslide susceptibility maps produced from the two models were validated with detailed fieldwork measurements and observation. Prediction accuracy of these maps that the landslide inventory map was overlaid on the AHP and FR maps. Both susceptibility maps show almost similar results and mainly, introduced some parts of the study areas of the Chemoga river sub-basin (CRSB) as landslide-prone areas.

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基于gis的滑坡易感性评估和绘制埃塞俄比亚西北部阿坝利巴诺斯地区
由自然和人为活动引起的地质灾害会造成严重的财产损失、生命损失和地球特征的变化。在这项工作中,使用层次分析法(AHP)和频率比(FR)方法对埃塞俄比亚西北部阿坝利巴诺斯地区的Chemoga河子流域(CRSB)进行了基于gis的滑坡易感性制图。选取8个影响因子制作敏感性图。它们是高程、坡度、坡向、岩性、土地利用、土地覆盖、曲率、到排水的距离和距离线。对所有影响因素进行统计分析,确定其与以往滑坡的关系。利用基于gis的统计模型,包括AHP和FR,确定了观测到的滑坡区域与这八个相关因素之间的关系。详细的实地工作(岩性描述和填图,地质构造测量,以及考虑每个影响因素对该地区滑坡发生的影响)进行了解释和制作研究区域的各种地图。研究区AHP模型敏感性图分别为9.6%、15.4%、29.7%、27.8%和17.5%,分别为极低、低、中、高和极高。同样,根据FR值将研究区划分为20.7%、14.6%、13.0%、18.6%、33.0%的极低、低、中、高、极高5个易感区。结果表明,陡坡面和陡坡面是高滑坡易感性区。最后,通过详细的实地测量和观测,对两种模型得到的滑坡敏感性图进行了验证。滑坡库存图叠加在AHP和FR图上的预测精度。两幅敏感性图显示的结果基本相似,主要是将科莫加河次流域的部分研究区域引入滑坡易发区。
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来源期刊
Applied Geomatics
Applied Geomatics REMOTE SENSING-
CiteScore
5.40
自引率
3.70%
发文量
61
期刊介绍: Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements
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