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1)  Dekad-to-dekad rainfall variation
旬雨量变差
2)  ten-day rainfall
旬降雨
1.
The ten-day correlation forecast model of rainfall and runoff based on BP neural network was established by taking actual initial soil water content and ten-day rainfall as its inputs and the actual ten-day runoff as its output,according to the watershed characteristics of rainfall and runoff correlation.
参照流域暴雨与径流相关的特点,以实际的旬初土壤蓄水量、旬降雨量为输入条件,以实际的旬径流量为输出条件,建立BP神经网络旬降雨径流相关模型。
3)  ten-days differential method
旬差分法
4)  rainfall variable
降雨变量
5)  changing gauging stations
变雨量站
6)  ten-day change
旬变化
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