Spatiotemporal Distribution of Nonseismic Landslides during the Last 22 Years in Shaanxi Province, China

Abstract

The spatiotemporal distribution of landslides provides valuable insight for the understanding of disastrous processes and landslide risk assessment. In this work, we compiled a catalog of landslides from 1996 to 2017 based on existing records, yearbooks, archives, and fieldwork in Shaanxi Province, China. The statistical analyses demonstrated that the cumulative frequency distribution of the annual landslide number was empirically described by a power-law regression. Most landslides occurred from July to October. The relationship between landslide time interval and their cumulative frequency could be fitted using an exponential regression. The cumulative frequency of the landslide number could be approximated using the power-law function. Moreover, many landslides caused fatalities, and the number of fatalities was related to the number of landslides each month. Moreover, the cumulative frequency was significantly correlated with the number of fatalities and exhibited a power-law relationship. Furthermore, obvious differences were observed in the type and density of landslides between the Loess Plateau and the Qinba Mountains. Most landslides were close to stream channels and faults, and were concentrated in cropland at elevations from 600–900 m and on slope gradients from 30–40°. In addition, the landslide frequency increased as the annual rainfall levels increased over a large spatial scale, and the monthly distribution of landslides presented a significant association with the precipitation level. This study provides a powerful method for understanding the spatiotemporal distribution of landslides via a rare landslide catalog, which is important for engineering design and planning and risk management.

Spatial distributions and multi-factor driving mechanism of landslide in southern Liaodong Peninsula

“…The spatial distribution of landslides can be regarded as point events in two-dimensional space. Therefore, the point pattern analysis method in ecology can be used to study the spatial distribution of landslide disasters and quantitatively characterize its distribution pattern (Qiu et al, 2019). This work used the average nearest neighbor (ANN) method to explore whether landslide points have spatial aggregation characteristics.…”

“…Sepuĺveda and Petley (2015) analyzed the relationship between hazard points and stratigraphic lithology as well as the spatial and temporal distribution of rainfall. Qiu et al (2019) explored the spatial distribution characteristics of landslides using spatial point pattern analysis.…”

The landslide traces inventory in the transition zone between the Qinghai-Tibet Plateau and the Loess Plateau: a case study of Jianzha County, China

“…In the construction of China's landslide traces inventory, many scholars have carried out a lot of work and made certain progress (Chen et al, 2016;Qiu et al, 2019;Zhao et al, 2019;Zhang et al, 2020). In northwestern China, Huang et al (2022) compiled a landslide traces inventory for Hualong County, Qinghai Province, consisting of 3,517 landslides through visual interpretation of highresolution optical images.…”