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汾河流域是山西省的重要生态屏障和经济带，其生态环境质量直接关系到区域生态安全与高质量发展。本文以汾河流域为研究对象，利用2000—2022年5期Landsat影像，选取核归一化植被指数（kNDVI）、湿度（Wet）、干度（NDBSI）、热度（LST）和气溶胶光学厚度（AOD）构建新型遥感生态指数（NRSEI），并利用地理探测器分析驱动因素。结果表明：(1)2000—2022年汾河流域生态环境质量总体呈波动上升趋势，NRSEI均值由0.456提升至0.496，生态改善区域（34.7%）显著大于退化区域（14.3%）。(2)山地丘陵区生态质量较优且持续改善，盆地平原区生态压力突出；上游吕梁与忻州本底较好且保持稳定，中游太原与晋中波动明显，下游临汾与运城改善最显著。(3)高程、土地利用和核归一化植被指数是影响流域生态质量的关键因子。
Abstract：The Fen River Basin serves as a vital ecological barrier and economic belt in Shanxi Province,whose ecological quality is directly tied to regional ecological security and high-quality development.Focusing on this basin,this study used five sets of Landsat imagery from 2000 to 2022 to construct a new remote sensing ecological index(NRSEI) model,incorporating the kernel normalized difference vegetation index(kNDVI),wetness(Wet),land surface temperature(LST),normalized difference built-up and soil index(NDBSI),and aerosol optical depth(AOD) as evaluation indicators.Additionally,the Geodetector model was applied to analyze the driving factors of ecological quality changes in the basin.It is found as follows.(1) From 2000 to 2022,the ecological environmental quality of the Fen River Basin exhibited a fluctuating upward trend,with the mean NRSEI increasing from 0.456 to 0.496.The area with improved ecological quality accounted for 34.7% of the total basin area,which was significantly larger than the degraded area(14.3%).(2) The ecological quality in mountainous and hilly areas was superior and maintained a continuous improvement trend, whereas the plain and basin areas faced prominent ecological pressure.Specifically,the most remarkable improvement occurred in Linfen and Yuncheng.Obvious fluctuations were observed in Taiyuan and Jinzhong,while Lyuliang and Xinzhou retained a favorable and stable ecological foundation.(3) Geodetector results revealed that DEM,land use/land cover change(LUCC),and kNDVI were the key factors influencing the ecological quality of the Fen River Basin.
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基本信息:
中图分类号:X826;P208
引用信息:
[1]王汝丹,牛凯杰,张鹏飞,等.基于新型遥感生态指数的汾河流域生态环境质量演变与驱动因子分析[J].地理与地理信息科学().
基金信息:
山西省科技战略研究专项（202404030401145）; 2025年度太原师范学院研究生教育创新项目（SYYJSYC2516）
2026-09-22
2026-09-22
2026-09-22