首页> 外文会议>World environmental and water resources congress >Studying effects of spatial scale on model calibration using Soil Water Assessment Tool (SWAT)
【24h】

Studying effects of spatial scale on model calibration using Soil Water Assessment Tool (SWAT)

机译:使用土壤水评估工具(SWAT)研究空间尺度对模型校准的影响

获取原文

摘要

Calibration of model parameters is a critical step in any successful watershedmodeling project. The calibrated values of model parameters, however, areinfluenced by sub-watershed divisions and resolution of input data. The objective ofthis research is to study the effects of sub-watershed divisions and scale of soil dataon calibration of SWAT model for the St. Joseph River Watershed (SJRW). Two setsof SJRW models one with SSURGO data (1:24,000 scale) and other with STATSGOdata (1:250,000 scale), each set having six different level of sub-watershed divisionvarying from 10 sub-watersheds to 97 sub-watersheds, are independently calibratedusing SCA-UA algorithm for daily streamflow output at watershed outlet. Calibratedresults show no significant difference in terms of model performance however goodparameter sets showed varied range of sensitivity to model spatial scale. This resultindicates towards redefining uncertainty range of sensitive model parameters.
机译:模型参数的校准是任何成功的分水岭的关键步骤 建模项目。但是,模型参数的校准值为 受子流域划分和输入数据分辨率的影响。目的 本研究旨在研究分水岭分区和土壤数据规模的影响 圣约瑟夫河流域(SJRW)的SWAT模型的校准研究。两套 SJRW模型之一使用SSURGO数据(比例为1:24,000),另一种使用STATSGO 数据(比例为1:250,000),每组具有六个不同级别的子集水区划分 从10个子集水区到97个子集水区,均经过独立校准 使用SCA-UA算法在流域出口处的日流量输出。已校准 结果表明,在模型性能方面没有显着差异,但是很好 参数集显示出对模型空间尺度敏感度的变化范围。这个结果 表示要重新定义敏感模型参数的不确定性范围。

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