In this paper we have improved the BP algorithm in the processes of applying BP algorithm of artificial neural networks for the annual average sediment concentration in a watershed by multi-factors.
本文在用人工神经网络BP模型对流域年均含沙量进行多因素建模过程中，对BP算法进行了改进。
Different positions in gully area have different phenomena of erosion and sediment yield, and even represent disparate patterns of water and sediment processes in different watershed scales.
沟壑区的不同部位具有不同的侵蚀产沙现象，并在不同的空间尺度上表现出迥异的水沙运动规律。为此需将流域分为坡面与沟道两大系统分别研究。
Different positions in gully area have different phenomena of erosion and sediment yield, and even represent disparate patterns of water and sediment processes in different watershed scales.
沟壑区的不同部位具有不同的侵蚀产沙现象，并在不同的空间尺度上表现出迥异的水沙运动规律。为此需将流域分为坡面与沟道两大系统分别研究。
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