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    吴文欢, 杨雅捷, 于龙, 张强, 文海家, 田洁, 尹红悦, 潘明辰, 2026. 考虑自然地域分异的云南省滑坡易发性制图及其可解释性分析. 地球科学. doi: 10.3799/dqkx.2026.120
    引用本文: 吴文欢, 杨雅捷, 于龙, 张强, 文海家, 田洁, 尹红悦, 潘明辰, 2026. 考虑自然地域分异的云南省滑坡易发性制图及其可解释性分析. 地球科学. doi: 10.3799/dqkx.2026.120
    WU Wenhuan, YANG Yajie, YU Long, ZHANG Qiang, WEN Haijia, TIAN Jie, YIN Hongyue, PAN Mingchen, 2026. Mapping Landslide Susceptibility in Yunnan Province Considering Natural Regional Differentiation and Its Interpretability Analysis. Earth Science. doi: 10.3799/dqkx.2026.120
    Citation: WU Wenhuan, YANG Yajie, YU Long, ZHANG Qiang, WEN Haijia, TIAN Jie, YIN Hongyue, PAN Mingchen, 2026. Mapping Landslide Susceptibility in Yunnan Province Considering Natural Regional Differentiation and Its Interpretability Analysis. Earth Science. doi: 10.3799/dqkx.2026.120

    考虑自然地域分异的云南省滑坡易发性制图及其可解释性分析

    doi: 10.3799/dqkx.2026.120
    基金项目: 

    中核集团稳定支持项目(No.WDZC-2023-002)

    详细信息
      作者简介:

      吴文欢(1989-),男,博士,主要从事高光谱遥感与多源遥感技术集成应用等方面的研究及教学工作.ORCID:0000-0003-1718-390X; E-mail: whwu@briug.cn

    • 中图分类号: P642.22

    Mapping Landslide Susceptibility in Yunnan Province Considering Natural Regional Differentiation and Its Interpretability Analysis

    • 摘要: 云南省滑坡灾害风险突出,但现有滑坡易发性制图(LSM)研究多局限于局地尺度,缺乏在统一标准和地域分异视角下的省域系统评估与可解释分析。基于云南省综合自然区划多级分区体系,本文将研究区细化为5个自然地带、8个自然地区及22个自然区,选取20个评价因子,构建自然区尺度的LightGBM-SHAP滑坡易发性模型,并结合SHAP方法解析滑坡影响因子贡献的空间差异特征。结果表明,各自然区模型均具有较强预测能力(测试集AUC均大于0.80)。省域尺度上,滑坡易发性呈现“西南部及山地边缘高、东北部及盆地低”的空间格局; SHAP分析显示,高程、植被覆盖率、年均降雨量、地震点核密度和POI核密度为普遍性影响因子,而土地利用、距河流/道路距离、采矿点核密度和坡度等因子具有显著区域差异性。研究表明,考虑自然地域分异的多分区建模与可解释性分析可有效提升滑坡易发性评价的科学性与应用价值。

       

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    • 收稿日期:  2025-12-20
    • 网络出版日期:  2026-05-13

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