塔吉克斯坦诺拉克地区滑坡危险性评价

B. Muminov, I. Fomenko, O. Sirotkina
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引用次数: 0

摘要

介绍。地理信息系统(GIS)技术的应用是一种很有前途的滑坡灾害制图和评估技术。目前,基于卫星的地面遥感应用广泛。卫星图像不仅可以识别个别滑坡,特别是在难以到达的地区,而且可以识别滑坡过程已经发生、正在发生和将来可能发生的地点。利用卫星成像和地理信息系统绘制塔吉克斯坦诺拉克地区目前滑坡传播的地图。材料和方法。在研究过程中,采用了自动和人工两种方法编制滑坡传播图。对以往研究和卫星图像解译的结果进行了分析。研究了该地形的数字模型,以及地形、地貌图、工程和地质图。以GIS格式编制了滑坡现象的详细地图,并首次为塔吉克斯坦共和国诺拉克地区建立了滑坡现象数据库。进行区划表明,在滑坡总数中,非常小、小型、中型、大型和超大型滑坡分别占24%、36%、10%、18%和12%。滑坡过程发育的面积为2601×104 m2,占全区总面积的4%。结果表明,本文所采用的方法可适用于交通不便、研究较少的地区的滑坡危险性评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Landslide hazard assessment of the Norak region of Tadjikistan
Introduction. The application of geographic information system (GIS) technologies is a promising technology for mapping and evaluating landslide hazards. At present, satellite-based terrestrial sensing is widely used. Satellite images make it possible not only to identify individual landslides, particularly in hard-to-reach areas, but also to identify those locations where landslide processes have manifested, are manifesting and may manifest themselves in the future.Aim. Mapping of the present landslide propagation in the territory of the Norak region of Tajikistan using satellite imaging and GIS.Materials and methods. In the course of the study, maps of landslide propagation were compiled both automatically and manually. An analysis of the results of previous studies and interpretations of satellite images was conducted. Digital models of the relief, as well as topographic, geomorphological, engineering and geological maps, were investigated.Results. A detailed map of landslide phenomena was compiled in the GIS format and a database of landslide phenomena was created for the first time for the territory of the Norak region of the Republic of Tajikistan.Conclusions. The conducted zoning showed that, out of the total landslide number, 24%, 36%, 10%, 18% and 12% correspond to very small, small, medium, large, and very large landslides, respectively. The landslide processes are developed across the area of 2601×104 m2, which accounts for the 4% of the total area of the district. The results demonstrate that the approach used in this study may be applicable to the landslide hazard assessment in hard-to-reach and poorly studied regions.
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