基于敏感性-恢复力-压力度模型的白龙江流域生态地质脆弱性评价
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P66; TP 79; X141

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四川省自然资源投资集团科研项目(川资投函[2025]300号);中国地质调查项目(DD20221776; DD20230247)


Eco-geological vulnerability assessment of Bailong River Basin based on SRP model
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    摘要:

    针对长江上游生态屏障建设需求,本研究以生态地质多样性显著的白龙江流域为研究区,基于SRP(敏感性-恢复力-压力度)概念模型构建涵盖地质构造、气候环境、植被覆盖和人类活动4个维度14项指标的评价体系。通过层次分析法-熵权法组合赋权确定生态地质脆弱性指数(Eco-geological vulnerability index,EVI),结合空间自相关分析与地理探测器方法,系统揭示流域生态地质脆弱性空间分异规律及多因子驱动机制。结果表明:(1)流域生态地质脆弱性呈现显著空间集聚特征(Moran"s I=0.78,p<0.01),脆弱等级以微度脆弱为主(68.56%),极度脆弱区(2.92%)集中分布于构造活跃的陡峭地形带;(2)地理探测器识别出活动断裂密度(q=0.8325)和历史地震强度(q=0.1368)为关键自然驱动因子,GDP密度(q=0.0494)与人口密度(q=0.0511)构成主要人为压力源;(3)因子交互效应呈现双因子增强或非线性增强特征,活动断裂密度与历史地震强度的协同作用(q=0.9199)显著加剧区域脆弱性。研究表明,生态地质脆弱性是自然地质本底与人类活动扰动协同作用的结果,建议建立高脆弱区立体监测网络并实施差异化生态修复策略。研究成果可为白龙江流域地质—生态系统协同治理提供科学依据和决策参考。

    Abstract:

    In order to meet the needs of ecological barrier construction in the upper reaches of the Yangtze River, this study selected the Bailong River Basin with significant ecological and geological diversity as the research area. Based on the SRP (Sensitivity-Resilience-Pressure) conceptual model, an evaluation system comprising 14 indicators across four dimensions - geological structure, climatic environment, vegetation cover, and human activities - was constructed. The eco-geological vulnerability index (EVI) was determined through a combination of analytic hierarchy process and entropy weight method. Through spatial autocorrelation analysis and geographical detector method, the spatial differentiation patterns and multi-factor driving mechanisms of eco-geological vulnerability in the basin were systematically investigated.The results demonstrate that: (1) The eco-geological vulnerability of the basin exhibits significant spatial agglomeration characteristics (Moran"s I = 0.78, p < 0.01). The vulnerability level is predominantly characterized by micro-vulnerability (68.56%), with extremely vulnerable areas (2.92%) concentrated in tectonically active steep terrain regions. (2) Geodetector analysis reveals active fault density (q = 0.8325) and historical earthquake intensity (q = 0.1368) as key natural driving factors, while GDP density (q = 0.0494) and population density (q = 0.0511) constitute the primary sources of human-induced pressure. (3) The interactive synergy between active fault density and historical earthquake intensity (q = 0.9199) significantly exacerbates regional vulnerability.This research indicates that eco-geological vulnerability results from the combined effects of natural geological background conditions and human activity disturbances. It is recommended to establish three-dimensional monitoring networks for high-vulnerability areas and implement differentiated ecological restoration strategies. The findings provide a scientific basis and decision-making reference for collaborative management of the geo-ecological system in the Bailong River Basin.

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刘娜,刘洪,宋志,等. 基于敏感性-恢复力-压力度模型的白龙江流域生态地质脆弱性评价[J]. 科学技术与工程, 2026, 26(20): 8559-8572.
Liu Na, Liu Hong, Song Zhi, et al. Eco-geological vulnerability assessment of Bailong River Basin based on SRP model[J]. Science Technology and Engineering,2026,26(20):8559-8572.

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  • 收稿日期:2025-07-09
  • 最后修改日期:2026-04-17
  • 录用日期:2026-01-31
  • 在线发布日期: 2026-07-27
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