2007-2020年太湖流域水敏性与工业水环境污染胁迫的耦合关系及时空演化
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中国科学院南京地理与湖泊研究所

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中国科学院南京地理与湖泊研究所自主部署科研项目(NIGLAS2022TJ09)和中国科学院南京地理与湖泊研究所自主部署项目(NIGLAS2022GS06)联合资助.


Coupling relationship and spatiotemporal evolution of water sensitivity and industrial water environmental pollution stress in the Taihu Basin,2007-2020
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Nanjing Institute of Geography and Limnology Chinese Academy of Sciences

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    摘要:

    湖泊流域内水敏性与工业水环境污染胁迫的耦合协调是实现流域可持续发展的重要途径。本研究构建了流域水敏性与工业水环境污染胁迫评价指标体系,运用耦合协调度模型、空间马尔科夫链、灰色关联度模型分析2007-2020年太湖流域水敏性与工业水环境污染胁迫耦合协调度的时空演化特征及驱动因素。结果显示:(1) 2007-2020年太湖流域水敏性轻微下降,整体呈现“西南高-东部低”的空间分布格局;而工业水环境污染胁迫程度则显著提升,东部形成S型高胁迫带,西部保持低胁迫状态,空间格局呈现明显分化。(2)流域水敏性与工业水环境污染胁迫耦合协调度整体下降,空间上呈“西高东低”分布,具有“俱乐部趋同”特征,并且存在一定的空间溢出效应。(3)太湖流域水敏性与工业水环境污染胁迫耦合协调度受五大因素影响,关联度从高到低依次为:科技投入水平、产业结构、人口集聚程度、环境规制强度、社会经济发展水平,且影响程度空间差异显著。因此,本研究建议实施空间差异化水环境规制政策,优化流域内生产力空间布局,并健全流域水环境综合治理体系,完善生态补偿与监测预警体系,以促进湖泊流域实现可持续发展。

    Abstract:

    The coupling coordination between water sensitivity and industrial water environmental pollution stress in lake basins is important pathway for achieving sustainable watershed development. This study constructed an evaluation index system for both water sensitivity and industrial water environmental pollution stress in the watershed. The coupling coordination degree model, spatial Markov chain, and grey relational analysis were used to analyze the spatiotemporal evolution characteristics and driving factors of their coupling coordination in the Taihu Basin from 2007 to 2020. The results showed that: (1) From 2007 to 2020, water sensitivity in the Taihu Basin declined slightly, generally exhibiting a spatial pattern of “high in the southwest and low in the east”. In contrast, the degree of industrial water environmental pollution stress increased significantly, with an S-shaped high-stress belt forming in the east and low stress persisting in the west, indicating significant spatial differentiation. (2) The overall coupling coordination degree between water sensitivity and industrial water environmental pollution stress declined, exhibiting a “higher in the west and lower in the east” spatial distribution pattern, with characteristics of “club convergence” and a certain degree of spatial spillover effect. (3) The coupling coordination degree between water sensitivity and industrial water environmental pollution stress in the Taihu Basin was driven by five key factors, ranked in order of correlation as follows: technological investment level, industrial structure, population agglomeration degree, strength of environmental regulation, and socio-economic development level, with significant spatial variation in their effects. Therefore, this study suggests optimizing the spatial layout of productivity within the basin, implementing differentiated water environmental regulation policies, and improving the comprehensive watershed management, compensation, and monitoring and early warning system, thereby promoting the sustainable development of lake basins.

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  • 收稿日期:2025-04-30
  • 最后修改日期:2025-12-19
  • 录用日期:2025-12-19
  • 在线发布日期: 2026-02-03
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