Human activities are intensifying the spatial variation of landslides in the Yellow River Basin

IF 21.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Science Bulletin Pub Date : 2025-01-30 Epub Date: 2024-07-09 DOI:10.1016/j.scib.2024.07.007
Naiman Tian , Hengxing Lan , Langping Li , Jianbing Peng , Bojie Fu , John J. Clague
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Abstract

Human activities are a triggering factor for landslides in the Yellow River Basin (YRB, China). However, the extent to which the spatial distribution of landslides is affected by human activities is unclear. We constructed a human activity intensity index (HAII) based on nighttime light data and land cover data. Regression and dominance analyses were used to compare the effects of the HAII, precipitation, distance to river, distance to fault, topographic relief and slope on the landslides spatial density (LSD). The results showed that in the YRB, the HAII, as a dominance influencing factor, had a significant positive influence on the LSD. Moreover, regional differences in the human disturbance of nature intensify the spatial variation of LSD. To quantify the intensity of human disturbance to nature, a human-nature conflict index (HNCI) is constructed by quantifying the difference between the slope distributions of artificial and natural landscapes. The results show that in the middle section of the YRB, humans are developing more steep mountainous areas, leading to more dense landslides. This study provides a reference for landslide risk management and land use planning in the YRB.
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人类活动加剧了黄河流域滑坡的空间变化
人类活动是黄河流域滑坡的一个触发因素。然而,滑坡的空间分布受人类活动影响的程度尚不清楚。基于夜间灯光数据和土地覆盖数据,构建了人类活动强度指数(HAII)。采用回归分析和优势度分析比较了hai、降水、离河距离、离断层距离、地形起伏度和坡度对滑坡空间密度(LSD)的影响。结果表明,在YRB中,HAII作为主导影响因素,对LSD有显著的正向影响。人类对自然干扰的区域差异加剧了LSD的空间差异。为了量化人类对自然的干扰强度,通过量化人工景观与自然景观坡度分布的差异,构建了人-自然冲突指数(HNCI)。结果表明,在长江干流中段,人类开发的陡峭山区较多,导致山体滑坡更为密集。研究结果可为三峡库区滑坡风险管理和土地利用规划提供参考。
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来源期刊
Science Bulletin
Science Bulletin MULTIDISCIPLINARY SCIENCES-
CiteScore
24.60
自引率
2.10%
发文量
8092
期刊介绍: Science Bulletin (Sci. Bull., formerly known as Chinese Science Bulletin) is a multidisciplinary academic journal supervised by the Chinese Academy of Sciences (CAS) and co-sponsored by the CAS and the National Natural Science Foundation of China (NSFC). Sci. Bull. is a semi-monthly international journal publishing high-caliber peer-reviewed research on a broad range of natural sciences and high-tech fields on the basis of its originality, scientific significance and whether it is of general interest. In addition, we are committed to serving the scientific community with immediate, authoritative news and valuable insights into upcoming trends around the globe.
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