流域年均含沙量的人工神经网络模型

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本文引入人工神经网络BP网络模型对流域产沙进行了定量分析。针对小流域的土壤、地质、地貌在一定的时间范围内具有相当稳定的特性,选取采伐面积、采伐量、降雨量和年均径流量这四个代表植被、气候的主要因子对流域年均含沙量进行了建模预测,建模结果表明采伐面积、采伐量对流域产沙具有较强的延迟效应,得出的BP网络模型不仅拟合精度高,而且预测效果好,这为泥沙方面的定量研究提供了一条新的途径。
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