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选取典型山地流域(昭觉河流域),在4种分辨率DEM、2种坡长因子算法和6种坡长截断值组合情景下，应用RUSLE-SEDD模型计算流域1990—2022年逐年输沙，并与实测值对比精度变化，采用PLS-SEM揭示地形数据及因子对模型结果的影响，结果表明：SFBUFL和GFBUCA算法分别更适宜分辨率小于30 m与大于60 m的DEM数据，且SFBUFL算法对DEM分辨率变化响应更明显；基于SFBUFL算法的模型计算中，DEM分辨率和坡长截断值在年际输沙变化中共同发挥27%的影响贡献；对山地流域而言，若选用基于优于30 m分辨率DEM,坡长截断值建议依据实际地形在45～80 m范围内选取。
Abstract：Selecting a typical mountainous watershed(Zhaojue River Basin), this study applied the RUSLE-SEDD model to calculate annual sediment transport from 1990 to 2022 under combined scenarios involving four DEM resolutions, two slope length(L) factor algorithms, and six slope length cutoff values. The accuracy variations between calculated values and measured values were compared, and PLS-SEM was employed to reveal the impact of terrain data and factors on model results. The results indicated that: the SFBUFL and GFBUCA algorithms were more suitable for DEM data with resolutions finer than 30 m and coarser than 60 m, respectively, with the SFBUFL algorithm showing a more pronounced response to changes in DEM resolution; in model calculations based on the SFBUFL algorithm, DEM resolution and slope length cutoff value jointly contributed 27% to the influenceon the interannual sediment transport variations; for mountainous watersheds, when using DEM data with resolutions better than 30 m, the slope length cutoff value is recommended to be selected within the range of 45～80 m based on actual terrain conditions.
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基本信息:
DOI：10.16239/j.cnki.0468-155x.2026.03.004
中图分类号:S157.1
引用信息:
[1]单文清,秦伟,刘飞,等.地形数据及因子对山地流域RUSLE-SEDD模型的影响研究[J].泥沙研究,2026,51(03):24-32.DOI:10.16239/j.cnki.0468-155x.2026.03.004.
基金信息:
国家重点研发计划课题(2022YFF1302902); 中国科协青年人才托举工程项目(YFSS20240006); 中国水利水电科学研究院青年人才托举项目(SE110145B0022025)
2026-05-20
2026-05-20
2026-05-20