在进行灰色拓扑理论探讨的基础上，选取新疆玛纳斯河年径流作为预报对象。
The annual surface flow in the Manas River of Xinjiang was chosen as object on the basis of discussion on the grey topological theory.
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。
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.
通过对玛纳斯河15年来的水质监测资料的分析、研究，从中寻找出该流域的地表及地下水质变化规律与发展趋势。
By analyzing 15 years data about water quality to find the varying tendency of surface water and groundwater in Manasi river valley.
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