Multi-factor spatial associations of landslide traces in a loess hilly-gully region: evidence from Baota District, Loess Plateau

IF 4.9 2区 工程技术 Q3 ENGINEERING, ENVIRONMENTAL
Sen Zhang, Zhenjiang Meng, Chong Xu, Wen Fan, Xin Liang, Fan Zhang, Yufei Song, Chao Li, Xu Zhang
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Abstract

Against intensified climate change, landslide risk is rising. The Chinese Loess Plateau, with distinctive lithology, complex terrain and strong human activity, is sensitive to moisture changes and engineering disturbance, making it a typical region for landslide development. However, regional-scale spatial distribution patterns and scale-dependent factor relationships remain insufficiently understood. Taking Baota District, Yan’an as a case study, we selected eight factors and integrated field investigation, UAV verification, landslide number density (LND), landslide area percentage (LAP), frequency ratio (FR), and GeoDetector analysis. Field investigation shows that landslide traces mainly occur in loess ridge-gully terrain, valley-bank slopes and engineering-affected areas, with small shallow failures predominating and large old landslides showing multi-stage deformation. Spatial analysis indicates concentrations at elevations of 1000–1100 m, slopes of 30–40°, 550–600 mm mean annual precipitation, within 1000 m of rivers and roads, in Quaternary units, and in forest and grassland areas. GeoDetector shows marked area-class differences in factor explanatory power for individual landslide-trace area variation: slope is prominent in several classes, whereas stratigraphy, elevation and aspect become more important in others. Representative enhanced interactions include slope–aspect, slope–land use and slope–stratigraphy for smaller traces; elevation–aspect, elevation–slope and slope–aspect for intermediate sizes; and slope–distance to rivers for the largest traces. Overall, these scale-dependent associations occur within a regional setting characterized by steep topography, favorable conditions for water circulation, and frequent human activities. These findings provide a reference for differentiated landslide investigation and prevention in loess hilly-gully regions.

黄土丘陵沟壑区滑坡轨迹的多因素空间关联——来自黄土高原宝塔区的证据
在气候变化加剧的情况下,山体滑坡的风险正在上升。中国黄土高原岩性独特,地形复杂,人类活动强烈,对水分变化和工程扰动敏感,是滑坡发育的典型地区。然而,区域尺度的空间分布格局和尺度相关因子关系仍未得到充分认识。以延安市宝塔区为例,选取8个因素,综合现场调查、无人机验证、滑坡数密度(LND)、滑坡面积百分比(LAP)、滑坡频率比(FR)和GeoDetector分析。现场调查表明,滑坡痕迹主要分布在黄土垄沟地形、谷岸边坡和工程影响区,以浅层小破坏为主,大型老滑坡多阶段变形。空间分析表明,浓度分布在海拔1000 ~ 1100 m、坡度30 ~ 40°、年均降水量550 ~ 600 mm、河流和道路1000 m范围内、第四纪单元以及森林和草原地区。GeoDetector对单个滑坡轨迹面积变化的因子解释力表现出明显的区域级差异:坡度在几个类别中突出,而地层、高程和坡向在其他类别中更为重要。典型的增强相互作用包括斜坡-坡向、斜坡-土地利用和较小痕迹的斜坡-地层;中等尺寸的高程向、高程向和坡度向;和斜坡距离的河流最大的痕迹。总的来说,这些依赖尺度的关联发生在以陡峭地形、有利水循环条件和频繁的人类活动为特征的区域环境中。研究结果可为黄土丘陵沟壑区的分级滑坡调查与防治提供参考。
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来源期刊
Bulletin of Engineering Geology and the Environment
Bulletin of Engineering Geology and the Environment 工程技术-地球科学综合
CiteScore
7.10
自引率
11.90%
发文量
445
审稿时长
4.1 months
期刊介绍: Engineering geology is defined in the statutes of the IAEG as the science devoted to the investigation, study and solution of engineering and environmental problems which may arise as the result of the interaction between geology and the works or activities of man, as well as of the prediction of and development of measures for the prevention or remediation of geological hazards. Engineering geology embraces: • the applications/implications of the geomorphology, structural geology, and hydrogeological conditions of geological formations; • the characterisation of the mineralogical, physico-geomechanical, chemical and hydraulic properties of all earth materials involved in construction, resource recovery and environmental change; • the assessment of the mechanical and hydrological behaviour of soil and rock masses; • the prediction of changes to the above properties with time; • the determination of the parameters to be considered in the stability analysis of engineering works and earth masses.
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