中文摘要：

有关径流预测和灌溉用水量的研究对优化配置和合理利用水资源、制订区域社会经济规划具有重要意义。该文应用灰色-时间序列分析法对蔡旗断面年径流量进行预测,然后以该径流预测结果为基础,进行基于不确定性的红崖山灌区2011-2020年最大效益及主要作物灌溉水量的预测。结果表明,径流预测结果与实测值比较吻合,合格率为67.6%,蔡旗径流受人类活动影响较大。此外,有效的节水改造措施在干旱缺水地区是十分必要的,它可大大提高水分利用效率,保证一定的经济效益。就红崖山灌区而言,棉花比起春小麦、籽瓜和白兰瓜,是单位水经济效益最大的作物,其次是白兰瓜,所以在可用水量短缺时,应保证棉花和白兰瓜的灌溉用水,以减小因缺水灌溉而带来的经济损失。

英文摘要：

This study on runoff forecast and irrigation water use has important significance in optimal allocation and rational utilization of water resources and the development of regional social economy programming. A lot of research work about runoff forecast and irrigation water use has been done by many famous experts, however they usually ignored the uncertainty in the process of research, and rarely forecasted the future irrigation water use by linking the determination of irrigation water use and runoff forecast. In this paper, the grey-time series analysis method was applied to forecast the annual runoff in CaiQi. This is a relatively new model, and it is a medium and long-term forecasting mathematical method of the traditional time series decomposition calculation combined with grey system theory. When calculated, the annual runoff time series is decomposed into 3 parts, trend item, periodic item and random item. Extrapolating to the future time according to the variation of each part, and then the forecast value is the sum of 3 parts. Among them, the trend item is calculated by the grey forecast method. Then based on above results, the predictions of the maximum economic benefit and the main crops’irrigation water at Hongyashan irrigation region under uncertainty in 2011-2020 were presented by solving the optimal allocation of water resources model under meteorological factor uncertainty in the irrigation area. The results indicated that the runoff forecast results were close to the measured values, and the eligible rate was 67.6%. This shows the applicability of the proposed method, but we also see that the prediction accuracy is not very high. This is because human activities have much influence on the runoff at Caiqi. It resulted in a large fluctuation of annual runoff. Moreover, in order to curb the reduction of runoff, a number of improvement measures have been adopted in recent years. So the runoff had a tendency to rebound after 2000 at Caiqi. These measures affected the accuracy of the prediction metho