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为了进一步认识喀斯特山区土壤侵蚀特征及准确估算土壤侵蚀量,通过对野外调查结果、已有研究成果的综合评判,选取坡度、雨强、植被覆盖度及裸岩率为主要土壤侵蚀因子,选取该区域广布的黄壤作为试验土样,采用针管式人工降雨模拟装置,模拟不同坡度条件下雨强、植被覆盖度、裸岩率与土壤侵蚀量之间的相关性,并对试验数据进行多元线性回归、逐步回归和多元非线性回归分析,建立不同坡度条件下土壤侵蚀模数的多因子方程,筛选出不同坡度下复相关系数较高的回归模型,对模型精度进行了分析。结果表明:1)非线性回归模型达到极显著或非常显著水平(0.692植被覆盖度>裸岩率。3)模型具有较好的预报精度,对缓坡、陡坡侵蚀产沙预测较准。研究初步揭示了喀斯特地区侵蚀模数与侵蚀因子的相关关系。
In order to further understand the characteristics of soil erosion in Karst mountains and to accurately estimate the amount of soil erosion, we selected the comprehensive evaluation of the results of the field survey, the existing research results, the selection of slope, rainfall intensity, vegetation coverage and bare rock rate as the main soil erosion factors Regional yellow soil as a test sample, the use of needle-tube artificial rainfall simulation device to simulate the different slope conditions rainfall intensity, vegetation coverage, bare rock rate and the relationship between soil erosion, and the experimental data were multiple linear Regression, stepwise regression and multivariate nonlinear regression analysis, the multi-factor equation of soil erosion modulus under different slope conditions was established, the regression model with higher complex correlation coefficient was screened out under different slope conditions, and the model precision was analyzed. The results showed that: 1) the nonlinear regression model reached a very significant or very significant level (0.692 Vegetation coverage> Bare rock rate. 3) The model has better forecasting accuracy and is more accurate for prediction of erosion and sediment yield of gentle slopes and steep slopes. The study initially revealed the correlation between erosion modulus and erosion factor in karst area.