基于改进的遥感生态指数的黄河三角洲生态环境质量时空变化分析

    Analysis of Spatiotemporal Changes in Ecological Environment Quality of the Yellow River Delta Based on Modified Remote Sensing Ecological Index

    • 摘要: 在黄河流域生态保护和高质量发展的背景下,为监测黄河三角洲整体生态环境变化,为区域未来发展提供合理建议,以黄河三角洲为研究区,选取5期Landsat影像为数据源,在遥感生态指数(RSEI)模型基础上,用盐度指数(SI)代替干度指标,同时引入空气质量指标(DI)构建改进的遥感生态指数(MRSEI),并结合景观指数,借助空间自相关分析方法,通过地理探测器进行驱动因子分析,定量评价黄河三角洲生态环境时空分异特征。结果表明:(1)与RSEI相比,MRSEI更接近生态环境状况指数(EI)值,评价结果与真实地表情况更为接近,更适用于黄河三角洲生态环境质量评价。(2)黄河三角洲生态环境表现为略微变差,生态指数均值由0.53降到0.51。生态环境质量差的区域主要集中在沿海滩涂附近,生态环境质量较好的区域分布在西南部与黄河沿岸地区,随着距海岸距离缩小生态环境质量逐渐降低。(3)不同等级的遥感生态指数斑块破碎度都不断上升,景观格局趋于破碎化。(4)各时期区域生态指数空间分布都存在显著的空间自相关性,局部以高-高聚集与低-低聚集为主,与MRSEI分布变化趋于一致。(5)土地利用是影响区域生态环境空间分异性的主要因素,各因子间的交互作用均表现为双因子增强。

       

      Abstract: Monitoring of ecological environment changes and providing suggestions for the future sustainable development of the Yellow River Delta hold significant practical importance under the background of ecological protection and high-quality development in this area. Taking the Yellow River Delta as the research area, five periods of Landsat images were selected as the data source. Based on the remote sensing ecological index (RSEI) model, the salinity index (SI) was used instead of the aridity index, then the air quality index (DI) was applied to construct the modified RSEI (MRSEI). Combined with landscape indices and the spatial auto-correlation analysis methods, the driving factors of spatiotemporal variation characteristics of the ecological quality of the Yellow River Delta were conducted quantitatively by geographic detectors. The results show that: (1) MRSEI was closer to the EI value compared with the traditional RSEI, and the evaluation results were more accurate to the actual situation, performing a reliable assessment for the ecological environment quality of the Yellow River Delta. (2) The ecological environment of the Yellow River Delta showed to be slightly deteriorated, with the mean ecological index decreasing from 0.53 to 0.51. Regions with poor ecological quality were mainly concentrated near the coastal tidal flats, while the better ecological quality were distributed in the southwestern and Yellow River coastal areas, gradually decreasing in ecological quality as they approach the coast. (3) The fragmentation degree of different levels of remote sensing ecological index patches kept rising, and the landscape pattern tended to become fragmented. (4) The spatial distribution of regional ecological index exhibited a significant spatial auto-correlation in each period, with local areas mainly characterized by high-high clustering and low-low clustering, which was consistent with the distributional changes of the MRSEI. (5) Land use presented the main factor affecting the spatial differentiation of regional ecological quality, and the interaction between the factors was manifested as mutual two-factor reinforcement.

       

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