【摘要】 黄河流域自然生态本底脆弱，人类长期开发建设活动导致生境破碎化、生物多样性减少。选取2000年、2010年和2020年3期遥感影像数据计算绿度、湿度、干度和热度4个指标，构建遥感生态指数(RSEI),分析河南省黄河干流沿线8个地市生态环境质量时空演变特征及变化趋势，并运用地理探测器分析其驱动因子。结果表明：2000—2020年研究区RSEI平均值为0.731 1,生态环境质量整体处于中等偏上水平，灵宝市、郑州市等生态环境质量较差，新安县、孟津区等生态环境质量较好；20 a间研究区生态环境质量先变差后转好，大部分地区呈改善趋势，下游生态环境质量改善情况优于中游；单因子探测结果表明，土地利用类型、国民生产总值等表征人类活动的驱动因子对生态环境质量的影响逐渐增强；多因子交互探测结果表明，国内生产总值、土地利用类型和人口密度与其他各因子的交互作用较强。更多还原

【Abstract】 The natural ecological background of the Yellow River Basin is fragile. Long-term human development and construction activities have led to habitat fragmentation and biodiversity reduction. The Landsat remote sensing image data of 2000, 2010 and 2020 were selected to calculate four indicators of greenness, humidity, dryness and heat to build remote sensing ecological index(RSEI). The RSEI was used to evaluate spatial-temporal evolution characteristics and trends of ecological environment quality in 8 cities and counties(districts) along the main stream of the Yellow River in Henan Province, and geographic detector was used to analyze its driving factors. The results indicate that a) the average RSEI in the study area from 2000 to 2020 is 0.731 1, and the overall ecological environment quality is above the middle level. Lingbao City and Zhengzhou City have poor ecological environment quality, while Xin’an County and Mengjin District have good ecological environment quality. b) Over the past 20 years, the ecological environment quality has first been deteriorated and then improved, and most of the areas show an overall improvement trend. The improvement of ecological environment quality in the lower reaches is better than that in the middle reaches. c) The single factor detection results indicate that the driving factors that characterize human activities, such as land use types and GDP, gradually enhance their impact on the quality of the ecological environment. The results of multi factor interaction detection indicate that there is a strong interaction between GDP, land use type and population density with other factors.更多还原