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对所选淤地坝剖面分层采集土样,测定其中的137Cs含量并计算各层泥沙淤积量,根据当地降雨资料,按照大雨对大沙的原则,将各淤积层与次侵蚀性降雨相对应.而后运用数理统计理论将各层的泥沙淤积量与次降雨特性中的4个指标(次降雨侵蚀力R、最大30min雨强I30、降雨量P、平均雨强I)进行回归分析,得出结论:次降雨侵蚀力R、最大30min雨强I30、次降雨量P是流域产沙的主要因素,其中次降雨侵蚀力R是关键因素.最后根据建立的多元回归模型进行模拟,预测值与计算值拟合较好,说明所建的模型符合当地实际情况.
According to the local rainfall data and according to the principle of heavy rain and large sand, the sediment layers and the sub-erosion rainfall phase Correspondingly, four indicators (rainfall erosivity R, rainfall intensity I30 of maximum 30min, rainfall P, average rainfall intensity I) in each layer of sediment deposition and secondary rainfall characteristics were analyzed by mathematical statistics theory, It is concluded that the rainfall eroquence R, rainfall intensity I30 up to 30min, and rainfall P are the main factors of sediment yield, and the rainfall eroquence R is the key factor.At last, the multivariate regression model is established to simulate the forecast value Fitting well with the calculated value, indicating that the model built in line with the actual situation on the ground.