| 滹沱河流域生态环境动态遥感评价 |
| 摘要点击 418 全文点击 66 投稿时间：2023-05-29 修订日期：2023-08-12 |
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| 中文关键词 滹沱河流域 生态环境指数（EI） 遥感生态指数（RSEI） 谷歌地球引擎（GEE） 地理探测器 |
| 英文关键词 Hutuo River Basin ecological environment index （EI） remote sensing ecological index （RSEI） Google earth engine（GEE） geographical detector |
| 作者 | 单位 | E-mail | | 李艳翠 | 河北师范大学地理科学学院, 石家庄 050024
河北省环境变化遥感识别技术创新中心, 石家庄 050024
河北省环境演变与生态建设省级重点实验室, 石家庄 050024 | cuicuili0420@163.com | | 袁金国 | 河北师范大学地理科学学院, 石家庄 050024
河北省环境变化遥感识别技术创新中心, 石家庄 050024
河北省环境演变与生态建设省级重点实验室, 石家庄 050024 | yuanjinguo8@163.com | | 刘博涵 | 河北师范大学地理科学学院, 石家庄 050024
河北省环境变化遥感识别技术创新中心, 石家庄 050024
河北省环境演变与生态建设省级重点实验室, 石家庄 050024 | | | 郭豪 | 河北师范大学地理科学学院, 石家庄 050024
河北省环境变化遥感识别技术创新中心, 石家庄 050024
河北省环境演变与生态建设省级重点实验室, 石家庄 050024 | |
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| 中文摘要 |
| 滹沱河流域横跨山西和河北两省,自2000年以来由于经济发展,城市扩建,滹沱河一度断流,但随着国家对生态文明建设的重视和南水北调工程的实施,滹沱河流域生态保护成效显著提升.基于GEE平台选取MODIS数据、Landsat数据和夜光遥感数据等,利用生态环境指数（EI）中的生物丰富度指数、植被覆盖指数、土地胁迫指数和污染负荷指数以及遥感生态指数（RSEI）中的湿度指数相结合生成新的评价指标体系,利用变异系数法和熵权法对指标赋权并构建生态环境评价模型,对2000~2020年滹沱河流域进行生态环境质量评价和分级,并运用地理探测器对其驱动因子进行解释.结果表明：①时间尺度上,2000~2015年滹沱河流域的生态环境处于“衰退期”,2015~2020年滹沱河处于“恢复期”.从格网尺度上看,流域内中部地区生态环境质量呈现逐年提高的状态；流域内西部和东部地区,“衰退期”生态环境质量逐年降低,“恢复期”生态环境质量有所提高.②热点分析表明,滹沱河流域的生态环境质量呈现“中间高两侧低”的空间分布状态.冷点区域集中分布于东部和南部的城市乡镇地区,零星分布于西侧河谷地区.③地理探测分析表明,单因子探测驱动因子主要为人口密度、植被净初级生产力（NPP）、植被覆盖度（FVC）和地貌类型.交互探测的主导因子为“地貌类型+FVC”.随着生态文明建设不断深入和《滹沱河保护条例》的颁布实施,结合流域内不同的自然环境和社会特征等因子,滹沱河流域生态环境评价研究可为因地制宜地改善生态环境政策提供数据支持. |
| 英文摘要 |
| Hutuo River Basin straddles Shanxi and Hebei provinces, and Hutuo River was once cut off due to economic development and urban expansion after 2000; however, with the national emphasis on ecological civilization and the implementation of the South-North Water Diversion Project, the ecological protection of Hutuo River Basin has been significantly improved. MODIS data, Landsat data, and night light remote sensing data were selected based on the google earth engine (GEE) platform, and a new evaluation index system was generated by combining the biological richness index, vegetation cover index, land stress index, and pollution load index in the ecological environment index (EI) and the humidity index in the remote sensing ecological index (RSEI), using the variation coefficient method and entropy weighting method to assign weights to these indices. An ecological environment evaluation model was constructed to evaluate and classify the ecological environment quality of Hutuo River Basin from 2000 to 2020, and the driving factors were interpreted by using geographic probes. The results showed that:① on a time scale, the ecological environment of Hutuo River Basin was in a decline period from 2000 to 2015 and a recovery period from 2015 to 2020. From a grid scale, the ecological environment quality in the central part of the basin showed a state of improvement year by year, and in the western and eastern parts of the basin, the ecological environment quality in the decline period decreased year by year, whereas the ecological environment quality in the recovery period improved. ② Hot spot analysis showed that the spatial distribution of the ecological environment quality in Hutuo River Basin was high in the middle and low on both sides. Cold spot regions were mainly located in major cities and towns in the eastern and southern parts and scattered in the river valley area on the west side. ③ Geodetection analysis showed that the single factor detection drivers were mainly population density, vegetation net primary productivity (NPP), fractional vegetation cover (FVC), and geomorphological type. The dominant factor of cross-detection was "geomorphological type + FVC." With the deepening of ecological civilization construction and the implementation of Hutuo River Protection Regulations, in combination with different factors such as the natural environment and social characteristics in this basin, the research on ecological environment evaluation in Hutuo River Basin can provide data support for proposing localized policies to improve the ecological environment. |
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