屏山站

结果表明该模型模拟结果可用来研究屏山站洪水的长期变化规律。

The results demonstrate this model can be applied to study the long-term changing regularity of flood fluctuation in Pingshan Hydrological Station .

本文介绍非参数解集模型并应用于金沙江流域屏山站月径流随机解集。

In this paper , nonparametric disaggregation model was introduced and applied to stochastic simulation for monthly runoff at Ping Shan station in the Sha Jiang River .

建立屏山站日流量分期平稳自回归模型，并模拟了序列长度为5200年的日流量过程对该模型进行检验。

Divided period Stationary Autoregressive Model for daily flow of Pingshan hydrological station is established in this paper . Daily flow procedure during 5200 years is simulated to test this model .

金沙江屏山站年均增加沙量约035亿t，其占宜昌站的百分数由518%增加到719%；

The Pingshan station at the Jinsha River increased about 0.35 × 10 ~ 8t , and the percentage ( compared with Yichang station ) also increased from 51.8 % to 71.9 % ;