Zhou Yanyan, Yue Dongxia, Li Shuangying, Wang Yongbin, Meng Xingmin, Xu Xiaofeng
MOE Key Laboratory of Western China's Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China.
MOE Key Laboratory of Western China's Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China.
Sci Total Environ. 2024 Dec 10;955:177230. doi: 10.1016/j.scitotenv.2024.177230. Epub 2024 Nov 2.
Debris flow disasters can directly indicate the quality of an area's ecological and geological (eco-geological) environment. Coordinating the coupling mechanism between these environments is crucial for reducing debris flow incidents and promoting sustainable socio-economic development. Nevertheless, comprehensive research on the coupling coordination mechanisms of the eco-geological environment in high-prone areas of debris flow has yet to be reported. This study focuses on the Bailong River Basin (BRB) and proposes two main hypotheses: (1) There is a coupled relationship with mutual influences among the eco-geological environmental systems; (2) The eco- geological environment affects debris flows, with geo-environmental factors having the most significant impact. To validate first hypotheses, this study developed an assessment index system for the eco-geological environment, encompassing geological environment, ecological environment, and human activities. We applied the projection pursuit model and the coupling coordination degree (CCD) model to calculate indicator weights and analyze the coupling coordination mechanisms. The results indicate that the three subsystems interact with each other. To validate second hypotheses, the self-organizing maps (SOM) method categorized the eco-geological subsystems. Building on this foundation, we analyzed the impact of the eco-geological environment on debris flow using variance decomposition analysis (VDA) and redundancy analysis (RDA) methods. The results indicate that eco-geological environment account for 87.8 % of the variation in debris flow frequency, with geological factors having the most significant impact. Notably, the area with the highest frequency of debris flow (four times per year) is located near the urban center of Wudu District, where the human environment subsystem is overwhelmingly dominant and the quality of the ecological and geological systems is comparatively low. Consequently, we analyzed the reasons behind the differences in clustering areas and proposed specific recommendations, including enhancing geological disaster prevention and monitoring potential hazardous areas. Future research should focus on enhancing data accuracy and exploring more effective methods for integrating ecological and geological environments with debris flow disaster management for functional zoning. In conclusion, this study provides scientific support for strategies to prevent or mitigate debris flow disasters and protect the BRB ecosystem by validating the above two hypotheses.
泥石流灾害能够直接反映一个地区生态地质环境的质量。协调这些环境之间的耦合机制对于减少泥石流事件以及促进社会经济可持续发展至关重要。然而，针对泥石流高发地区生态地质环境耦合协调机制的全面研究尚未见报道。本研究聚焦于白龙江流域（BRB），并提出两个主要假设：（1）生态地质环境系统之间存在相互影响的耦合关系；（2）生态地质环境影响泥石流，其中地质环境因素的影响最为显著。为验证第一个假设，本研究构建了一个生态地质环境评估指标体系，涵盖地质环境、生态环境和人类活动。我们应用投影寻踪模型和耦合协调度（CCD）模型来计算指标权重并分析耦合协调机制。结果表明这三个子系统相互作用。为验证第二个假设，自组织映射（SOM）方法对生态地质子系统进行了分类。在此基础上，我们使用方差分解分析（VDA）和冗余分析（RDA）方法分析了生态地质环境对泥石流产生的影响。结果表明，生态地质环境占泥石流发生频率变化的87.8%，其中地质因素的影响最为显著。值得注意的是，泥石流发生频率最高的区域（每年四次）位于武都区城市中心附近，此处人类环境子系统占绝对主导地位，而生态和地质系统质量相对较低。因此，我们分析了聚类区域差异背后的原因，并提出了具体建议，包括加强地质灾害预防以及监测潜在危险区域。未来的研究应着重提高数据准确性，并探索将生态和地质环境与泥石流灾害管理进行功能分区整合更为有效的方法。总之，本研究通过验证上述两个假设，为预防或减轻泥石流灾害以及保护白龙江流域生态系统的策略提供了科学依据。
