利用地理信息系统绘制Niš-North马其顿高速公路沿线的滑坡易感性图

Dajana Tešić
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摘要

山体滑坡事件是全世界以及塞尔维亚共和国面临的严峻挑战。根据目前的估计,塞尔维亚25-30%的领土受到山体滑坡的威胁。由于密集的山体滑坡,住宅、基础设施、能源、水管理和工业设施以及自然和文化产品受到威胁。本文的主题是利用地理信息系统在北马其顿共和国尼什边境段E-75高速公路走廊地区制作滑坡易感性地图(LSM)。重点放在对影响滑坡事件的某些因素的分析,以及对过程本身的修正。本文选取了岩性、土壤因素、降水、坡向、坡度、与河道的距离、土地利用和与道路的距离等因素进行评价和敏感性作图。然后采用层次分析法确定易感因素的相对显著性和优先级。使用ArcGISPro软件进行图层重叠。结果表明:17.2%的地表不敏感(极低敏感性和低敏感性),31.9%的地表易发生滑坡事件(高敏感性和极高敏感性)。其余49.1%为中等易感区。考虑到研究区域密集的道路网络,以及大量的人口稠密的地方,可以得出结论,滑坡激活的破坏将是显著的。结果表明,60.7公里的高速公路处于滑坡高发区和最大危险区。
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Landslide susceptibility mapping using GIS along the Niš-North Macedonia highway
Landslide events are a serious challenge worldwide, as well as in the Republic of Serbia. According to current estimates, 25-30% of the territory of Serbia is endangered by landslides. Due to intensive landslides, residential, infrastructural, energy, water management and industrial facilities, as well as natural and cultural goods are endangered. The subject of this paper is the use of GIS for the production of a landslide susceptibility map (LSM) in the area of the corridor of the highway E-75, section Niš - border of the Republic of Northern Macedonia. Emphasis is placed on the analysis of certain factors that influence the landslide events, as well as on the modifiers of the process itself. In this paper the following factors were selected for the assessment and susceptibility mapping: lithology, pedological factors, precipitation, aspect, slope, distance from watercourses, land use and distance from roads. The AHP method was then used to determine the relative significance and priority of predisposing factors. The layers were overlapped using ArcGISPro software. The results show that 17.2% of the surface is not susceptible (very low and low susceptibility), and 31.9% of the surface is prone to landslide events (high and very high susceptibility). The remaining 49.1% of the area belongs to the area of moderate susceptibility. Adding to this dense road network in the study area, as well as a large number of populated places, it can be concluded that the damage from the activation of the landslide would be significant. The results suggest that 60.7 km of the highway is in an area of high and greatest risk of landslides.
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