首页> 外文期刊>Atmospheric and oceanic science letters >Application of a Coupled Land Surface-Hydrological Model to Flood Simulation in the Huaihe River Basin of China
【24h】

Application of a Coupled Land Surface-Hydrological Model to Flood Simulation in the Huaihe River Basin of China

机译:地表水文耦合模型在淮河流域洪水模拟中的应用

获取原文
           

摘要

A hydrological simulation in the Huaihe River Basin (HRB) was investigated using two different models: a coupled land surface hydrological model (CLHMS), and a large-scale hydrological model (LSX-HMS). The NCEP-NCAR reanalysis dataset and observed precipitation data were used as meteorological inputs. The simulation results from both models were compared in terms of flood processes forecasting during high flow periods in the summers of 2003 and 2007, and partial high flow periods in 2000. The comparison results showed that the simulated streamflow by CLHMS model agreed well with the observations with Nash-Sutcliffe coefficients larger than 0.76, in both periods of 2000 at Lutaizi and Bengbu stations in the HRB, while the skill of the LSX-HMS model was relatively poor. The simulation results for the high flow periods in 2003 and 2007 suggested that the CLHMS model can simulate both the peak time and intensity of the hydrological processes, while the LSX-HMS model provides a delayed flood peak. These results demonstrated the importance of considering the coupling between the land surface and hydrological module in achieving better predictions for hydrological processes, and CLHMS was proven to be a promising model for future applications in flood simulation and forecasting.
机译:使用两种不同的模型对淮河流域(HRB)的水文模拟进行了研究:耦合陆面水文模型(CLHMS)和大规模水文模型(LSX-HMS)。将NCEP-NCAR再分析数据集和观测到的降水数据用作气象输入。从2003年和2007年夏季高流量时段和2000年局部高流量时段的洪水过程预报对两种模型的模拟结果进行了比较。比较结果表明,CLHMS模型模拟的流量与观测值吻合得很好。在HRB的Lutaizi和Bengbu站,在2000年的两个时期中Nash-Sutcliffe系数均大于0.76,而LSX-HMS模型的技能相对较差。 2003年和2007年高流量时期的模拟结果表明,CLHMS模型可以模拟水文过程的高峰时间和强度,而LSX-HMS模型可以提供延迟的洪峰。这些结果表明,在实现更好的水文过程预报时,考虑地面和水文模块之间的耦合非常重要,并且CLHMS被证明是未来洪水模拟和预报应用中的有希望的模型。

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