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黄河下游滩涂湿地泥沙冲淤格局及影响因素OA

Sediment erosion-deposition patterns and influencing factors in floodplain wetlands of lower Yellow River

中文摘要英文摘要

[目的]阐明小浪底水库水沙调控影响下黄河下游典型滩涂湿地的泥沙冲淤格局,探究利用遥感提取的泥沙冲淤影响因子预测冲淤格局的可行性,为黄河下游湿地生态保护和高质量发展提供科学参考.[方法]在黄河下游选取了6个典型滩涂湿地,通过布设样线和样点,利用RTK获取了2023-2024年湿地泥沙冲淤数据,并基于水文资料和多源遥感影像,分析了相对高程、河道距离、NDVI和水淹时长4个关键因素对泥沙冲淤格局的影响.[结果](1)各滩地微地形变化呈现显著空间异质性,但整体以淤积为主导趋势,平均淤积量 0.152 m;(2)相对高程、河道距离、NDVI和水淹时长与样点冲淤量的相关系数r分别为-0.319,0.046,-0.129,0.174,p值均小于0.05;(3)采用所有因子建立的泥沙冲淤多元回归模型R²=0.116,p<0.001.[结论]黄河下游滩涂湿地以淤积为主,冲淤量与各影响因子之间存在显著的统计学相关性,但其线性关系较弱,多元回归分析进一步表明,利用现有因子精准预测冲淤格局的难度较大,这凸显了该地貌过程形成机制的复杂性.

[Objective]This study aims to elucidate the sediment erosion-deposition patterns in typical floodplain wetlands of the lower Yellow River under the influence of water-sediment regulation by the Xiaolangdi Reservoir and to explore the feasibility of predicting these patterns using remote sensing-derived influencing factors,thereby providing scientific support for ecological protection and high-quality development of the wetlands in this region.[Methods]This study selected six representative floodplain wetlands in the lower Yellow River,where sediment erosion-deposition processes were monitored from 2023 to 2024 using RTK(Real-Time Kinematic)surveys along established transects and sampling points.By integrating hydrological data and multi-source remote sensing imagery,the effects of four key factors-relative elevation,distance from the river channel,NDVI(Normalized Difference Vegetation Index),and inundation duration-on sediment erosion-deposition patterns were analyzed.[Results](1)Microtopographic changes exhibited significant spatial heterogeneity across the wetlands,though deposition dominated as the overall trend(mean deposition thickness was 0.152 m).(2)The correlation coefficients between relative elevation,distance from the river channel,NDVI,and inundation duration and the amount of erosion-deposition at the sampling points were-0.319,0.046,-0.129 and 0.174,respectively,with all p-values less than 0.05.(3)The multiple regression model established using all factors had an R2 of 0.116 and p<0.001.[Conclusion]The floodplain wetlands in the lower Yellow River are dominated by sediment deposition.While a statistically significant correlation exists between net sediment change and various influencing factors,the linear relationship is relatively weak.Furthermore,multiple regression analysis indicates that accurately predicting sediment erosion-deposition patterns using the existing factors remains challenging,highlighting the complexity of the geomorphic processes in this region.

王艳琪;郭旭;徐国耀;黄艳伟;朱红雷;张婵;侯翠翠;钱伟峰;韩圆;党丽;赵淑娟

河南师范大学,河南 新乡 453002河南师范大学,河南 新乡 453002河南师范大学,河南 新乡 453002河南师范大学,河南 新乡 453002河南师范大学,河南 新乡 453002河南师范大学,河南 新乡 453002河南师范大学,河南 新乡 453002孟州黄河湿地保护中心,河南 焦作 454750孟州黄河湿地保护中心,河南 焦作 454750孟州黄河湿地保护中心,河南 焦作 454750孟州黄河湿地保护中心,河南 焦作 454750

天文与地球科学

泥沙冲淤多源遥感分析滩涂湿地黄河下游

sediment erosion-depositionmulti-source remote sensing analysisfloodplain wetlandslower Yellow River

《水土保持研究》 2026 (2)

72-79,88,9

国家自然科学基金面上项目(32271604)河南省高等学校重点科项目资助计划(22A180020)

10.13869/j.cnki.rswc.2026.02.006

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