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西华师范大学 环境科学与工程学院, 四川 南充 637001
Received:21 October 2024,
Revised:2025-01-25,
Published:10 June 2025
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马文灿, 文星跃, 龚林.嘉陵江中游不同土地利用下紫色土抗蚀性多模型评价[J].水土保持通报,2025,45(3):155-164.
Ma Wencan, Wen Xingyue, Gong Lin. Purple soil erosion resistance assessment using multi-model under different land-using types in middle reaches of Jialing River [J]. Bulletin of Soil and Water Conservation,2025,45(3):155-164.
马文灿, 文星跃, 龚林.嘉陵江中游不同土地利用下紫色土抗蚀性多模型评价[J].水土保持通报,2025,45(3):155-164. DOI: 10.13961/j.cnki.stbctb.2025.03.023. CSTR: 32312.14.stbctb. 2025.03.023..
Ma Wencan, Wen Xingyue, Gong Lin. Purple soil erosion resistance assessment using multi-model under different land-using types in middle reaches of Jialing River [J]. Bulletin of Soil and Water Conservation,2025,45(3):155-164. DOI: 10.13961/j.cnki.stbctb.2025.03.023. CSTR: 32312.14.stbctb. 2025.03.023..
目的
2
探讨嘉陵江中游紫色土抗蚀性最优评价模型及指标,揭示不同土地利用方式下土壤抗蚀性的差异性,为长江流域生态环境保护提供科学参考。
方法
2
分析土壤团聚体、粒度组成、土壤结构和有机质等特征值,利用主成分分析、熵值法、主成分—熵值法及主成分—熵值-TOPSIS这4种模型分别评价土壤抗蚀性。
结果
2
①提取出团聚体、土壤颗粒、土壤结构、胶结和分散状况等5个主成分; ②最佳紫色土抗蚀性评价指标为粉黏粒含量、细黏粒含量、结构性颗粒指数、风干团聚体平均直径、>0.5 mm和>0.25 mm团聚体破坏率、>0.5 mm和>0.25 mm水稳性团聚体含量、团聚度和分散率。 ③主成分—熵值-TOPSIS模型能避免主成分分析的加权主观性、熵值法的高维数据适应性差、主成分—熵值模型简单加权等问题,评价结果差异显著且拟合效果最佳。
结论
2
①主成分—熵值-TOPSIS模型评价结果效果较好,适宜用于紫色土区土壤抗蚀性评价。 ②研究区不同土地利用方式下土壤抗蚀性强弱表现为:撂荒地>草地>林地>果园>旱地。
Objective
2
An optimal evaluation model and indicators for the erosion resistance of purple soil in the middle reaches of the Jialing River were explored. Additionally, differences in soil erosion resistance under different land-use types were analyzed to provide a reference for ecological environmental protection in Yangtze River Basin.
Methods
2
The characteristics of the soil aggregates, particle size composition, soil structure, and organic matter were analyzed. Four models, principal component analysis (PCA), entropy method, PCA-entropy method, and PCA-entropy-technique for order preference by similarity to ideal solution (TOPSIS), were used to evaluate soil erosion resistance.
Results
2
① Five principal components were extracted: aggregate structure, soil particles, soil structure, cementation, and dispersion. ② The optimal evaluation indicators for purple soil erosion resistance were silt-clay content, fine clay content, structural particle index, mean weight diameter of air-dried aggregates, destruction rates of aggregates > 0.5 and > 0.25 mm, water-stable aggregate content of aggregates > 0.5 and > 0.25 mm, aggregate stability, and dispersion rate.③ The PCA-entropy-TOPSIS model avoids subjective weighting of PCA, poor adaptability of the entropy method to high-dimensional data, and simple weighting of the PCA entropy model. The results indicated significant differences and best-fitting effects.
Conclusion
2
① The PCA-entropy-TOPSIS model provided the best evaluation results and is suitable for assessing soil erosion resistance in purple soil regions. ② The erosion resistance of soil under different land use types in the study area was ranked as follows: abandoned land > grassland > forest land > orchard > dryland.
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