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。
4) rainfall variable
降雨变量
5) changing gauging stations
变雨量站
6) ten-day change
旬变化
补充资料:旬旬
1.往来盘旋貌。
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