The model isdebugged and validated by the data observed, so it is proved suitable to simulate river network discharge, water level and contamination concentration.
模型利用实测资料进行模型率定与验证，证明该模型基本合理，能够模拟河网各河道的流量、水位与浓度。
When the hydrological data are input, the model can achieve continuously modeling the total phosphorus output of Heihe river basin.
输入水文等资料后，模型程序能够实现连续模拟黑河流域的总磷输出。
Lastly, the feasibility and validity of the model was validated with the past years surface water resource quantity time series data from Kenswat Station on Xinjiang Manas River.
最后，以玛纳斯河肯斯瓦特站历年的年径流资料验证时间序列人工神经网络预测模型的可行性与有效性。
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