首页> 外文期刊>Environmental Modelling & Software >Autocalibration in hydrologic modeling: Using SWAT2005 in small-scale watersheds
【24h】

Autocalibration in hydrologic modeling: Using SWAT2005 in small-scale watersheds

机译:水文建模中的自动校准:在小型流域中使用SWAT2005

获取原文
获取原文并翻译 | 示例
           

摘要

SWAT is a physically based model that can simulate water quality and quantity at the watershed scale. Due to many of the processes involved in the manual- or autocalibration of model parameters and the knowledge of realistic input values, calibration can become difficult. An auto-calibration-sensitivity analysis procedure was embedded in SWAT version 2005 (SWAT2005) to optimize parameter processing. This embedded procedure is applied to six small-scale watersheds (subwatersheds) in the central Texas Blackland Prairie. The objective of this study is to evaluate the effectiveness of the autocalibration-sensitivity analysis procedures at small-scale watersheds (4.0-8.4 ha). Model simulations are completed using two data scenarios: (1) 1 year used for parameter calibration; (2) 5 years used for parameter calibration. The impact of manual parameter calibration versus autocalibration with manual adjustment on model simulation results is tested. The combination of autocalibration tool parameter values and manually adjusted parameters for the 2000-2004 simulation period resulted in the highest E_(NS) and R~2 values for discharge; however, the same 5-year period yielded better overall E_(NS), R~2 and P-values for the simulation values that were manually adjusted. The disparity is most likely due to the limited number of parameters that are included in this version of the autocalibration tool (i.e. Nperco, Pperco, and nitrate). Overall, SWAT2005 simulated the hydrology and the water quality constituents at the subwatershed-scale more adequately when all of the available observed data were used for model simulation as evidenced by statistical measure when both the autocalibration and manually adjusted parameters were used in the simulation. Published by Elsevier Ltd.
机译:SWAT是基于物理的模型,可以在分水岭范围内模拟水质和水量。由于模型参数的手动或自动校准以及实际输入值的知识涉及许多过程,因此校准可能会变得困难。 SWAT 2005版(SWAT2005)中嵌入了自动校准灵敏度分析程序,以优化参数处理。此嵌入式过程应用于德克萨斯州中部布莱克兰草原中的六个小规模集水区(子集水区)。这项研究的目的是评估在小规模流域(4.0-8.4公顷)上自动校准灵敏度分析程序的有效性。使用两个数据方案完成模型仿真:(1)一年用于参数校准; (2)5年用于参数校准。测试了手动参数校准与通过手动调整进行自动校准对模型仿真结果的影响。自动校准工具的参数值和2000-2004年模拟期间手动调整的参数的组合产生了最高的放电E_(NS)和R〜2值;但是,在相同的5年期间,对于手动调整的模拟值,总体E_(NS),R〜2和P值更好。这种差异最有可能是由于此版本的自动校准工具(例如Nperco,Pperco和硝酸盐)中包含的参数数量有限。总体而言,当将所有可用观测数据用于模型模拟时,SWAT2005可以更充分地模拟流域尺度下的水文和水质成分,而在自动模拟和手动调整参数均用于模拟时,统计方法可以证明这一点。由Elsevier Ltd.发布

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