黄河流域河南段生态环境质量时空演变及驱动机制研究
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黄河水利职业技术大学

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X821,TP79

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河南省高等学校重点科研项目(25B420011);开封市科技计划项目(2403101)


Research on Spatiotemporal Evolution and Driving Mechanism of Ecological Environment Quality in the Henan Section of the Yellow River Basin
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Yellow River Conservancy Technical Uuiversity,Kaifeng

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    摘要:

    [目的]揭示2013—2023年间黄河流域河南段生态环境质量时空演变规律,识别关键驱动因子,为该区域生态保护与高质量发展提供科学依据。[方法]基于2013年、2017年、2020年和2023年4期Landsat 8遥感影像,计算遥感生态指数(RSEI),联合绿度(NDVI)、湿度(WET)、干度(NDBSI)与地表温度(LST)4个指标,系统评价研究区生态环境质量。运用地理探测器方法,结合社会经济因子(人口密度、夜间灯光)与自然因子(降水量、气温),定量解析生态环境质量时空分异特征及其驱动机制。[结果]2013–2023年,研究区生态环境质量整体呈“退化—改善—基本不变”的动态变化趋势;空间上表现为“四周优、中间差”的分布格局,高值区集中于西部和南部山区,低值区分布于中部城市群及东部平原农业区。NDVI为主导影响因子,NDBSI为次要影响因子,各因子交互作用以为非线性增强为主。社会经济因子(人口密度、夜间灯光强度)与RSEI呈显著负相关;自然因子中,降水量与RSEI正相关,气温与RSEI负相关。[结论]近10a来,黄河流域河南段生态环境质量总体有效改善,RSEI能有效反映该区域生态环境质量的时空变化。研究结果揭示了人类活动与自然因子的协同作用机制,并凸显了在城镇化和农业活动干扰下,植被覆盖与地表干化的关键作用。研究成果可为研究区域生态保护规划、空间管控政策制定及生态环境综合治理提供科学支撑。

    Abstract:

    [Objective] This study aimed to reveal the spatiotemporal evolution patterns of ecological environment quality in the Henan section of the Yellow River Basin, identify key driving factors, and provide a scientific basis for ecological protection and high-quality development in the region. [Methods] Based on Landsat 8 remote sensing images from four periods (2013, 2017, 2020, and 2023), a Remote Sensing Ecological Index (RSEI) was constructed by integrating four indicators: Greenness (NDVI), Wetness (WET), Dryness (NDBSI), and Land Surface Temperature (LST), to systematically assess the ecological environment quality of the study area. Using the geodetector method, combined with socioeconomic factors (population density, nighttime light intensity) and natural factors (precipitation, temperature), we quantitatively analyzed the spatiotemporal differentiation characteristics of ecological environment quality and their driving mechanisms . [Results] From 2013 to 2023, the ecological environment quality in the study area generally exhibited a dynamic trend of "decline—improvement—relative stabilization." Spatially, it showed a pattern of "superior periphery and inferior center," with high-value areas concentrated in the western and southern mountainous regions and low-value areas distributed in the central urban clusters and eastern plain agricultural zones. NDVI was the dominant influencing factor, and NDBSI was the secondary influencing factor. The interactions among the factors were primarily characterized by nonlinear enhancement. Socioeconomic factors (population density, nighttime light intensity) showed a significant negative correlation with RSEI, while among natural factors, precipitation was positively correlated and temperature was negatively correlated with RSEI. [Conclusion] Over the past decade, the ecological environment quality has generally improved effectively in the Henan section of the Yellow River Basin, and RSEI can reliably reflect its spatiotemporal changes. The research findings have revealed the synergistic effects of human activities and natural factors, and highlighted the critical roles of vegetation cover and surface drying under the influence of urbanization and agricultural activities.The research results can provide scientific support for study area’s ecological conservation planning, spatial regulation policy formulation, and integrated eco-environmental management.

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  • 收稿日期:2025-12-04
  • 最后修改日期:2026-02-10
  • 录用日期:2026-02-11
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