...
首页> 外文期刊>Hydrology and Earth System Sciences >Can the two-parameter recursive digital filter baseflow separation method really be calibrated by the conductivity mass balance method?
【24h】

Can the two-parameter recursive digital filter baseflow separation method really be calibrated by the conductivity mass balance method?

机译:可以通过电导率质量平衡法真正校准双参数递归数字滤波器底流分离方法吗?

获取原文
           

摘要

The two-parameter recursive digital filter method (Eckhardt) and the conductivity mass balance (CMB) method are two widely used baseflow separation methods favored by hydrologists. Some divergences in the application of these two methods have emerged in recent years. Some scholars believe that deviation of baseflow separation results of the two methods is due to uncertainty of the parameters of the Eckhardt method and that the Eckhardt method should be corrected by reference to the CMB method. However, other scholars attribute the deviation to the fact that they contain different transient water components. This study aimed to resolve this disagreement by analyzing the effectiveness of the CMB method for correcting the Eckhardt method through application of the methods to 26 basins in the United States by comparison of the biases between the generated daily baseflow series. The results showed that the approach of calibrating the Eckhardt method against the CMB method provides a “false” calibration of total baseflow by offsetting the inherent biases in the baseflow sequences generated by the two methods. The baseflow sequence generated by the Eckhardt method usually includes slow interflow and bank storage return flow, whereas that of the CMB method usually includes high-conductivity water flushed from swamps and depressions by rainfall, but not low-conductivity interflow and bank storage return flow. This difference results in obvious peak misalignment and periodic deviation between the baseflow sequences obtained by the two methods, thereby preventing calibration. However, multi-component separation of streamflow can be achieved through comparison. Future research should recognize the deviations between the separation results obtained by the different methods, identify the reasons for these differences, and explore the hydrological information contained therein.
机译:双参数递归数字滤波器方法(ECKHARDT)和电导率质量平衡(CMB)方法是水文学家青睐的两种广泛使用的底流分离方法。近年来出现了这两种方法的应用中的一些分歧。一些学者认为,两种方法的基流分离结果的偏差是由于ECKHARDT方法参数的不确定度,并且应通过参考CMB方法来校正ECKHARDT方法。然而,其他学者将偏差归因于它们含有不同的瞬态水部件的事实。本研究旨在通过分析CMB方法来解决校正ECKHARDT方法的有效性,通过在所产生的每日基流系列之间的偏差比较,通过将方法应用于26个盆地来校正ECKHARDT方法的有效性。结果表明,通过抵消由两种方法产生的基础序列中的固有偏差,校准ECKHARDT方法的方法提供了总基流的“假”校准。由ECKHARDT方法产生的基流序列通常包括缓慢的交互和存储返回流量,而CMB方法的速度通常包括通过降雨从沼泽和凹陷冲击的高导电性水,但不是低导电性交互和银行存储返回流程。这种差异导致通过两种方法获得的基流序列之间的明显峰值未对准和周期性偏差,从而防止校准。然而,可以通过比较实现流流的多分量分离。未来的研究应该认识到不同方法获得的分离结果之间的偏差,确定这些差异的原因,并探讨其中包含的水文信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号