| 鄱阳湖流域生态环境动态评估及驱动因子分析 |
| 摘要点击 2852 全文点击 2704 投稿时间：2022-01-11 修订日期：2022-05-16 |
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| 中文关键词 生态环境质量 遥感生态指数(RSEI) 地理探测器 GEE平台 鄱阳湖流域 |
| 英文关键词 ecological environment quality remote sensing ecological index(RSEI) Geodetector Google Earth Engine Poyang Lake basin |
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| 中文摘要 |
| 鄱阳湖流域生态环境是我国南方地区生态文明建设的重要组成部分.基于Landsat卫星遥感影像，利用主成分分析方法构建遥感生态指数（RSEI）作为生态环境质量评价指标，引入地理探测器模型定量剖析不同影响因素对生态环境空间分异性的影响，分析鄱阳湖流域1990~2020年生态环境质量变化及不同驱动因子的影响程度.结果表明：①流域内生态环境质量存在明显的区域性差异，生态质量等级为差和较差地区主要分布在流域中北部的低海拔平原与台地，质量等级为优和良地区主要分布在流域西南部的丘陵山地区域；②近30年鄱阳湖流域生态环境整体呈改善趋势，改善地区主要位于低海拔平原区域；③人口密度是鄱阳湖流域生态环境质量变化中驱动力最大的影响因子，与城市化发展密切相关的夜间灯光指数因子q值多年来呈升高趋势，鄱阳湖流域生态环境质量受城市化发展的影响越来越大.结果可为鄱阳湖流域生态环境保护工作提供理论依据. |
| 英文摘要 |
| The ecological environment of Poyang Lake basin is an important part of the construction of ecological civilizations in the south of China. Based on the Landsat satellite remote sensing images, using the principal component analysis (PCA) method to construct the remote sensing ecological index (RSEI) as an evaluation index of ecological environment quality, introducing the Geodetector model to quantitatively detect the explanatory power of different influencing factors on the spatial divergence of the ecological environment, and exploring the changes in ecological environment quality in the Poyang Lake basin from 1990 to 2020 and the impact of different driving factors. The results of the study showed that there were obvious regional differences in the ecological environment quality in the basin. The areas with bad and poor ecological quality were mainly distributed in the central and northern plains; the areas with high and good quality grades were mainly distributed in the hilly and mountainous region of the southwestern part of the basin; the overall ecological environment of the Poyang Lake basin has been improving over the past 30 years; and the improved areas were mainly distributed in low-altitude areas. Geodetector results showed that population density was the factor with the highest explanatory power for the spatial divergence of ecological environment quality in the Poyang Lake basin. Among different natural factors, topographic factors (slope, aspect) had a higher driving force than meteorological factors (temperature, precipitation). The night light index factor showed an increasing yearly trend, indicating that the ecological environment quality of the Poyang Lake basin was gradually increased due to the influence of urbanization development. The construction of the RSEI model based on Google Earth Engine could not only effectively ensure the accuracy of ecological environment quality evaluation in different years but could also quickly realize image preprocessing and index calculations, which greatly improved the efficiency of ecological environment evaluation. These research results can provide a theoretical basis and scientific data support for the ecological environment protection work in the Poyang Lake basin. |
