中文摘要：

为了在性能和最佳的参数上估计刻度数据系列长度的效果，水文学的值在 ungauged 或数据有限集水当模特儿(数据在一些集水间断、破片)，我们为 SIMHYD (简单水文学)为更独立的流速及流水量数据使用了间断刻度时期模型刻度。Nash-Sutcliffe 效率和百分比水平衡错误被用作表演措施。粒子群优化(PSO ) 方法被用来校准降雨流量模型。数据系列从一年到十年的不同长度，随机取样了，被用来学习刻度数据的影响系列长度。与每日的降水，潜在的土壤水分蒸发蒸腾损失总量，和流速及流水量数据在整个澳大利亚定位的 55 相对未受损伤的集水被测试获得更一般的结论。结果证明那个更长的刻度数据系列未必确实导致更好的模型性能。一般来说，八年数据是足够的获得模型性能的稳定的估计，为 SIMHYD 的参数当模特儿。很潮湿的集水要求更少刻度数据获得好表演和稳定的参数值，这也被显示出。模型比在干旱集水在潮湿、半潮湿的集水更好表演。我们的结果可以为在不同气候为水文学模型刻度使用有限观察数据的效率有有用、有趣的含意。

英文摘要：

In order to assess the effects of calibration data series length on the performance and optimal parameter values of a hydrological model in ungauged or data-limited catchments （data are non-continuous and fragmental in some catchments）, we used non-continuous calibration periods for more independent streamflow data for SIMHYD （simple hydrology） model calibration. Nash-Sutcliffe efficiency and percentage water balance error were used as performance measures. The particle swarm optimization （PSO） method was used to calibrate the rainfall-runoff models. Different lengths of data series ranging from one year to ten years, randomly sampled, were used to study the impact of calibration data series length. Fifty-five relatively unimpaired catchments located all over Australia with daily precipitation, potential evapotranspiration, and streamflow data were tested to obtain more general conclusions. The results show that longer calibration data series do not necessarily result in better model performance. In general, eight years of data are sufficient to obtain steady estimates of model performance and parameters for the SIMHYD model. It is also shown that most humid catchments require fewer calibration data to obtain a good performance and stable parameter values. The model performs better in humid and semi-humid catchments than in arid catchments. Our results may have useful and interesting implications for the efficiency of using limited observation data for hydrological model calibration in different climates.