京津冀地区水质净化特征时空演变及影响因素

    Spatial-temporal evolution and influencing factors of water purification characteristics in Beijing-Tianjin-Hebei region

    • 摘要:
      研究目的 随着全球气候变化和人类活动的加剧,水质污染已成为全球面临的重要环境问题之一,京津冀地区作为中国经济最发达、人口最密集的区域之一,快速的城市化和工业化进程导致水资源短缺、水质恶化、水生态退化等问题日益严峻,本研究有助于指导水资源的合理分配和高效利用,为区域水环境治理和生态保护提供科学依据。
      研究方法 以总磷输出(TP)测算水质净化功能,利用生态系统服务和权衡的综合评估模型(InVEST)、空间自相关分析和时空地理加权回归模型(GTWR)分析京津冀地区水质净化功能的时空演变特征及影响因素的时空异质性。
      研究结果 西北部山区磷输出量低于东南部平原,高值区主要分布于山前平原,1990—2020年磷输出量时间差异不大,单位面积磷输出量呈减少的趋势,表明京津冀地区水质净化能力加强。磷输出量呈现出显著的“高—高”和“低—低”聚集特征。时空地理加权回归模型(GTWR)分析结果表明,对磷输出量有较大正向效应的因素依次为海拔、降水、散布与并列指数(IJI)、斑块密度(PD),有较大负向效应的因素依次为斑块数量(NP)、人口密度、平均边缘面积比(PARA_MN)、斑块丰度密度(PRD)。
      结论 基于影响因素的时空异质性,从植被保护与恢复、土地利用规划与景观格局优化、水资源管理、人口与产业调控等方面提出水质净化能力提升相关建议,以期为京津冀高质量发展提供参考。

       

      Abstract:
      Objective With the intensification of global climate change and human activities, water pollution has become one of the most critical environmental challenges worldwide. As one of China's most economically developed and densely populated regions, the Beijing−Tianjin−Hebei area faces increasingly severe issues such as water scarcity, deteriorating water quality, and degraded aquatic ecosystems due to rapid urbanization and industrialization. This study aims to guide the rational allocation and efficient utilization of water resources, providing scientific basis for regional water environment management and ecological conservation.
      Methods This study employs total phosphorus (TP) output as an indicator of water purification capacity. Utilizing the Integrated Valuation of Ecosystem and Trade−offs (InVEST) model, spatial autocorrelation analysis, and the Spatio−temporal Geographically Weighted Regression (GTWR) model, it examines the spatiotemporal evolution of water purification capacity and the spatiotemporal heterogeneity of influencing factors within the Beijing−Tianjin−Hebei region.
      Results Phosphorus output in the northwestern mountainous areas was lower than in the southeastern plains, with high−value zones primarily distributed in the foothill plains. Phosphorus output showed little temporal variation between 1990 and 2020, while phosphorus output per unit area exhibited a decreasing trend, indicating enhanced water purification capacity in the Beijing−Tianjin−Hebei region. Phosphorus output demonstrated significant “high−high” and “low−low” clustering characteristics. Spatio−temporal geographically weighted regression (GTWR) analysis revealed that factors with significant positive effects on phosphorus output were, in order: elevation, precipitation, index of dispersion and juxtaposition (IJI), and patch density (PD). Factors with significant negative effects were, in order: number of patches (NP), population density, mean area ratio of patches (PARA_MN), and patch richness density (PRD).
      Conclusions Based on the spatiotemporal heterogeneity of influencing factors, recommendations for enhancing water purification capacity are proposed across vegetation conservation and restoration, land−use planning and landscape pattern optimization, water resource management, and population and industrial regulation. These findings aim to provide reference for high−quality development in the Beijing−Tianjin−Hebei region.

       

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