高原铁路工程与资源环境承载力耦合协调测度研究

Research on coupling coordination measurement of plateau railway engineering and resource and environmental carrying capacity

  • 摘要: 为深入探究高原铁路工程与资源环境承载力之间的交互关系,以我国西部高原铁路为例,构建基于极差标准化—熵值法赋权—耦合协调度模型测算的综合评价体系,从资源消耗、环境扰动和社会经济效益等多个维度建立铁路工程与资源环境双系统指标体系,利用熵值法确定权重,采用耦合协调度模型测度两系统之间的互动关系,并结合时间序列分析与空间分区比较,对2006—2021年高原铁路沿线各区域的协调演化特征进行系统测算与分析。结果表明:不同区域协调度存在明显差异,西宁区域因资源条件相对优越、管理措施较为有效,表现出良好的综合发展潜力;而唐古拉山口区域协调度仅从0.412上升至0.612,反映出高海拔地区资源环境禀赋有限、生态系统恢复缓慢,制约其协调发展的能力。时序变化分析进一步揭示,铁路工程建设强度、区域资源禀赋、生态系统脆弱性、资源环境管理能力以及区域经济发展水平是影响协调度变化的核心因素。此外,空间分布特征表明,高原铁路沿线的协调水平具有明显的地域梯度,资源丰富、管理有效的区域协调性显著优于生态压力较大的地区。

     

    Abstract: This study investigated the interactive relationship between plateau railway engineering and resource-environmental carrying capacity in western China, aiming to achieve efficient utilization of energy resources and promote the coordinated development of railway engineering and resource-environmental systems. A comprehensive evaluation system was established based on a coupling coordination model that incorporated range standardization and entropy value weighting. A dual-system indicator framework for railway engineering and resource-environmental systems was developed across multiple dimensions, including resource consumption, environmental disturbance, and socioeconomic benefits. Weights were determined using the entropy weight method, and interactions between the two systems were measured by the coupling coordination degree model. Furthermore, by integrating time-series analysis and spatial zoning comparisons, this study systematically assessed and analyzed the coordinated evolution characteristics of various regions along plateau railways from 2006 to 2021. The results indicated significant regional variations in coordination levels. The Xining region demonstrated high comprehensive development potential due to relatively superior resource conditions and effective management measures. In contrast, the coordination level in the Tanggula Mountain Pass region increased only from 0.412 to 0.612, which was attributed to the limited resources and environmental endowments and slow ecosystem recovery in high-altitude areas. The temporal variation analysis further revealed that the intensity of railway construction, regional resource endowment, ecosystem vulnerability, resource and environmental management capacity, and regional economic development level were the key factors influencing changes in coordination. Additionally, the spatial distribution characteristics indicated that coordination levels along the plateau railway displayed a distinct regional gradient, with resource-rich and effectively managed areas showing significantly higher coordination than regions under greater ecological pressure.

     

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