黄河流域多尺度时间序列生态环境评价研究

摘要：

掌握黄河流域多尺度时间序列的生态环境质量空间分异特征与动态变化规律，是实现区域经济发展和生态环境协同共生的关键.然而受限于当前遥感生态环境质量评价模型的自动化水平，现有研究仍停留在年尺度的粗糙时间单元,研究立足遥感生态指数(RSED模型存在的问题，聚焦多时间尺度序列的生态环境评价需求，构建了时空生态环境质量指数模型，并以黄河流域为例，开展了年、季、月尺度的生态环境质量研究，验证了模型的可行性和可靠性.研究结果表明黄河流域生态环境质量具有明显的时空异质性，空间上整体呈现南高北低的分异特征，但冬季出现南低北高的趋势;时间上年、季节、月度均呈现缓慢改善趋势，其中春、冬季生态环境呈改善趋势，夏、秋季呈恶化趋势，且改善趋势大于恶化趋势;1月生态环境最差，9月生态环境最好，月均生态环境质量曲线呈抛物线形状。

Grasping the spatial differentiation characteristies and dynamic change patterns of ecological environment quality in the Yellow River Basin across multiple temporal scales is key to achieving coordinated regional economic development and ecological coexistence. However, constrained by the current level of automation in remote sensing ecological environment quality assessment models, existing studies are still limited to coarse annual time units. Based on the issues of the RSEl model.this paper focuses on the ecological environment assessment needs of multi-temporal scale sequences, constructs a spatiotemporal ecological environment quality index model, and takes the Yellow River Basin as an example to conduct a study of ecological environment quality on annual, seasonal and monthly scales, verifying the feasibility and reliability of the model, The results show that the ecological environment quality in the Yellow River Basin has significant spatiotemporal heterogeneity, with a spatial pattern generally showing higher values in the south and lower in the north, but a trend of lower values in the south and higher in the north occurs in winter; temporally, annual, scasonal, and monthly scales all show a slow improvement trend.with spring and winter showing improvement, summer and autumn showing deterioration, and the improvement trend being greater than the deterioration trend; the ecological environment is worst in January and best in September. with the monthly average ecological environment quality curve forming a parabolic shape.

作者：

李宁,袁元元,李定宇,刘文路,张洁,潘琪,郭建忠,王家耀

Li Ning, Yuan Yuanyuan, Li Dingyu, Liu Wenlu, Zhang Jie, Pan Qi, Guo Jianzhong, Wang Jiayao

机构地区：

河南大学遥感与空间信息工程学院；地理科学与工程学部；河南省时空大数据产业技术研究院

引用本文：

李宁，袁元元，李定宇等。黄河流域多尺度时间序列生态环境评价研究[J].河南师范大学学报(自然科学版).2026,54(3):1-10.(Li Ning, Yuan Yuanyuan, Li Dingyu,et al. Multi-scale time series ecological environment as-sessment in the Yellow River Basin[J].Journal of Henan Normal University (Natural Science Edition),2026,54(3) :1-10.DOI:10.16366/j.cnki.1000-2367.2025.12.23.0002.)

基金：

国家自然科学基金；国家自然科学基金区域创新发展联合基金

关键词：

生态环境;黄河流域;多尺度;时间序列

ecological environment; Yellow River Basin; multi-scale; time series

分类号：

X821

黄河流域多尺度时间序列生态环境评价研究.pdf