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[1]Liang Zhishui,Chen Yu,Sun Yue,et al.Study on the Pattern of Erosion and Sediment Yield and Multiple Regression Estimation Model of Pisha Sandstone Slope[J].Research of Soil and Water Conservation,2024,31(02):11-17.

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Study on the Pattern of Erosion and Sediment Yield and Multiple Regression Estimation Model of Pisha Sandstone Slope

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 31 Number of periods: 2024 02 Page number: 11-17 Column: Public date: 2024-03-20

Title:: Study on the Pattern of Erosion and Sediment Yield and Multiple Regression Estimation Model of Pisha Sandstone Slope

Author(s):: Liang Zhishui¹, Chen Yu¹, Sun Yue¹, Gao Haiying¹, Wu Zhiren²; (1.School of Civil Engineering, Southeast University, Nanjing 210096, China; 2.School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China)

Keywords:: Pisha sandstone; simulated rainfall; sediment yield; nonlinear mode

CLC:: S157.1

DOI:: -

Abstract:: [Objective] The aims of this study are to explore the pattern of erosion on Pisha sandstone slope and establish the estimation model, and to provide reference for innovating the new measures of soil erosion control in Pisha sandstone area. [Methods] The effects of rainfall intensity(20, 50 and 80 mm/h), vegetation coverage(10%, 30% and 50%)and slope(20°, 30° and 40°)on sediment yield pattern were examined, and an estimation model of erosion and sediment yield on slope was established through multiple nonlinear regression equation. [Results] The sediment yield curve of the Pisha sandstone slope appeared a gentle growth, and the sediment yield in per minute increased gradually with the duration of rainfall and then became stable. Among the factors, the sediment yield was most strongly affected by rainfall intensity, followed by vegetation, and the smallest effect factor is slope. Additionally, the sediment reduction efficiency of vegetation was also affected by rainfall intensity. As rainfall intensity increased, the sediment reduction efficiency of vegetation with low coverage decreased. The sediment yield had a power function relationship with rainfall intensity, while it had a linear relationship with slope gradient and vegetation coverage within a certain range. A multivariate nonlinear regression model for erosion and sediment yield of Pisha sandstone slope was established. [Conclusion] The fitting correlation coefficient R² of the established erosion and sediment yield estimation equation reaches 0.980 under the specific conditions of the standard plot, which can effectively reflect the relationship between slope erosion and sediment yield and various influencing factors, and the estimation model has high applicability.

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Last Update: 2024-04-20