埃塞俄比亚中部昭和北部Alemketema镇周边滑坡危险区(LHZ)——基于GIS的专家评价方法

Birhanu Ermias, T. Raghuvanshi, B. Abebe
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引用次数: 22

摘要

在本研究中,在埃塞俄比亚中部,亚的斯亚贝巴以北约120公里的Alemketema镇附近的一个地区进行了滑坡危险区划(LHZ)。在LHZ地图编制中,采用了基于GIS的专家评价技术。考虑的参数是;斜坡几何,斜坡材料,结构不连续面,土地利用和土地覆盖,地下水,地震活动,降雨和人为活动。将研究区划分为273个坡面和坡面专题层,利用二次数据、地形图和卫星影像在GIS环境下编制了滑坡危险性评价的内在参数。后来,从实地各面收集了关于各种参数的原始数据,并根据实际观察对专题地图作了适当的修改。此外,在GIS环境下进行地理处理,以了解落在每个坡面的参数类的类型。根据斜坡面内存在的各种固有参数和触发参数类别,根据专家评估为这些参数分配适当的等级。然后,将各种参数的所有评级之和作为GIS中LHZ地图编制的基础。根据准备好的LHZ地图,66.9%的地区属于“高危险区”,33.1%属于“中度危险区”。对这张LHZ地图的验证显示,过去约80%的山体滑坡属于“高危险区”。这合理地证实了制作LHZ图所采用的方法、所考虑的参数及其评价的合理性。
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Landslide Hazard Zonation (LHZ) Around Alemketema Town, North Showa Zone, Central Ethiopia - A GIS Based Expert Evaluation Approach
: In the present study landslide hazard zonation (LHZ) was carried out in an area around Alemketema town, central Ethiopia, about 120 km north of Addis Ababa. For LHZ map preparation, GIS based expert evaluation technique was followed. The parameters considered are; slope geometry, slope material, structural discontinuities, landuse and landcover, groundwater, seismicity, rainfall and manmade activities. For landslide hazard evaluation the study area was divided into 273 slope facets and thematic layers on slope facets and intrinsic parameters were prepared in GIS environment from secondary data, topographical map and satellite images. Later, primary data on various parameters was collected facet wise from the field and as per actual observations suitable modifications were made to the thematic maps. Further, geo-processing in GIS environment was done to know the type of parameter classes that fall within each slope facet. Based on the presence of various intrinsic and triggering parameters class within a slope facet, appropriate ratings were assigned to the parameters as per expert evaluation. Later, sum total of all ratings for various parameters form the basis to prepare the LHZ map in GIS. As per prepared LHZ map, 66.9% of the area falls into ‘high hazard zone’ and 33.1% falls into ‘moderate hazard zone’. Validation of this LHZ map revealed that about 80% of past landslides fall within ‘high hazard zone’. This reasonably confirms the rationality of adopted methodology, considered parameters and their evaluation in producing LHZ map.
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