基于GEE的大连市生态环境质量时空格局及其驱动力分析
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X821,X171.1

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辽宁省教育厅项目“浑太河流域景观格局对非点源污染的影响机制研究”(LJ212510165028);辽宁省经济社会发展研究课题(2025lslybkt-029);辽宁省社会科学规划资助项目(L22AYJ010)


Spatiotemporal patterns and driving factors of ecological environment quality in Dalian City based on GEE
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    [目的] 揭示大连市生态环境时空变化特征与驱动机制,为区域生态保护与高质量发展提供科学依据。[方法] 基于Google Earth Engine(GEE)平台构建大连市遥感生态指数(RSEI),采用Sen-MK趋势分析法揭示2000—2023年大连市生态环境质量的时空演变特征,并结合Hurst指数对生态环境质量的未来短期演变趋势进行预测。进一步采用最优参数地理探测器识别其主要驱动因子及其交互作用。[结果] ①2000—2023年大连市生态环境质量整体呈现波动上升的趋势,空间上具有显著的异质性,呈“北优南差、城差郊优”的分布格局。②大连市历史时期的生态环境改善幅度大于退化幅度,未来短期内仍持续保持改善的趋势,但局部区域具有趋势反转风险,需加强生态修复与管控。③单因子探测结果表明,土地利用类型为影响生态环境质量的主导因子,高程、坡度次之,且社会经济因子的驱动作用随时间的推移持续增强;交互作用探测结果显示,土地利用与年降水量的交互作用在各个时期均表现为最强驱动组合,揭示了自然过程与人类活动共同作用下的生态演变机制。[结论] 2000—2023年大连市的生态环境质量总体改善,土地利用是其关键驱动因子。未来需加强对市中心及沿海地区的生态格局优化与稳定性维护,在推进经济建设的同时,统筹生态环境保护和修复工程,促进区域经济与生态系统协调发展。

    Abstract:

    [Objectives] The spatiotemporal variation characteristics and driving mechanisms of ecological environment quality in Dalian City were revealed, in order to provide a scientific basis for regional ecological protection and high-quality development. [Methods] Based on the Google Earth Engine (GEE) platform, the remote sensing ecological index (RSEI) of Dalian City was constructed. The Sen-MK trend analysis was employed to reveal the spatiotemporal evolution characteristics of ecological environment quality from 2000 to 2023, and the Hurst exponent was used to predict the future short-term evolution trends of ecological environment quality. Furthermore, the optimal parameters-based geodetector was employed to identify the main driving factors and their interactions. [Results] ① From 2000 to 2023, the ecological environment quality of Dalian City showed an overall fluctuating upward trend, with significant spatial heterogeneity, showing a distribution pattern of “better in the north and worse in the south; worse in urban areas and better in suburbs”. ② The magnitude of ecological environment improvement in Dalian City during the historical period was greater than that of degradation, and the improving trend was expected to continue in the short term. However, certain local areas were at risk of trend reversal, indicating a need for strengthened ecological restoration and management. ③ The single-factor detection results showed that land use type was the dominant factor affecting ecological environment quality, followed by elevation and slope, and the driving effect of socioeconomic factors continued to increase over time. The interaction detection results showed that the interaction between land use type and annual precipitation was the strongest driving combination across all periods, revealing the ecological evolution mechanisms under the combined action of natural processes and human activities. [Conclusion] From 2000 to 2023, the ecological environment quality of Dalian City generally improved, with land use identified as the key driving factor. In the future, it is necessary to strengthen the optimization and maintain the stability of ecological patterns in urban centers and coastal areas, coordinate ecological environmental protection and restoration projects while promoting economic development, and promote the coordinated development of the regional economy and ecosystem.

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姜俊超,赵格格,吕乐婷.基于GEE的大连市生态环境质量时空格局及其驱动力分析[J].水土保持通报,2026,46(1):355-365

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  • 收稿日期:2025-07-19
  • 最后修改日期:2025-10-16
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  • 在线发布日期: 2026-04-01
  • 出版日期: 2026-02-15