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Temporal and spatial distributions of landslides in the Qinba Mountains, Shaanxi Province, China

机译:中国陕西省秦巴山区山体滑坡的时间和空间分布

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The spatial and temporal distributions of landslides can be used to assess the potential future impacts of landslides over large scales. However, quantitatively characterizing the spatial and temporal distributions of landslides and their causes remains a critical challenge. In this work, a typical landslide-prone region (the Qinba Mountains) is selected to identify this spatial and temporal trend. Information on 295 landslides spanning ten years from 2005 to 2014 was collected. The results revealed that landslide occurrences were clustered in time and space. Approximately 81% of the total landslides occurred from July to October. Moreover, a power law relationship between the cumulative frequency and number of landslides per day was discovered. Notably, the probability density of the time interval decreased as the time interval between landslide events increased, and this relationship was well described by a negative power-law correlation. Furthermore, the spatial and temporal distribution pattern of most landslides were influenced by rainfall events and earthquakes. There were several clustered centers in the study area, and the mean centers of the landslide distribution varied among years.
机译:山体滑坡的空间和时间分布可用于评估山体滑坡在大尺度上的潜在未来影响。然而,定量表征山体滑坡的空间和时间分布及其原因仍然是一个关键挑战。在这项工作中,选择了一个典型的滑坡(Qinba Mountains)被选中以确定这种空间和时间趋势。收集了2005年至2014年跨越了十年的295次山体滑坡的信息。结果表明,在时间和空间中聚集了山体滑坡的发生。大约81%的总滑坡于7月至10月发生。此外,发现了累计频率与每天山山山脉数之间的权力法关系。值得注意的是,随着滑坡事件之间的时间间隔的增加,时间间隔的概率密度减小,并且这种关系通过负功率律相关性很好地描述。此外,大多数山体滑坡的空间和时间分布模式受降雨事件和地震的影响。研究区有几个聚类中心,山体滑坡分布的平均中心各不相同。

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