CFSR气象数据在流域水文模拟中的适用性评价——以中国秦岭山地的灞河流域为例(英文)

编号 zgly0001584026

文献类型 期刊论文

文献题名 CFSR气象数据在流域水文模拟中的适用性评价——以中国秦岭山地的灞河流域为例(英文)

作者 胡胜  邱海军  杨冬冬  曹明明  宋进喜  吴江  黄晨璐  高宇 

作者单位 CollegeofUrbanandEnvironmentalScience  NorthwestUniversity  InstituteofEarthSurfaceSystemandHazards  NorthwestUniversity  ShaanxiProvincialLandEngineeringConstructionGroup 

母体文献 Journal of Geographical Sciences 

年卷期 2017年05期

年份 2017 

分类号 P334  P339 

关键词 CFSR  weatherdata  hydrologicsimulation  applicabilityevaluation  SWATmodel  BaheRiverBasin 

文摘内容 In recent years, global reanalysis weather data has been widely used in hydrological modeling around the world, but the results of simulations vary greatly. To consider the applicability of Climate Forecast System Reanalysis(CFSR) data in the hydrologic simulation of watersheds, the Bahe River Basin was used as a case study. Two types of weather data(conventional weather data and CFSR weather data) were considered to establish a Soil and Water Assessment Tool(SWAT) model, which was used to simulate runoff from 2001 to 2012 in the basin at annual and monthly scales. The effect of both datasets on the simulation was assessed using regression analysis, Nash-Sutcliffe Efficiency(NSE), and Percent Bias(PBIAS). A CFSR weather data correction method was proposed. The main results were as follows.(1) The CFSR climate data was applicable for hydrologic simulation in the Bahe River Basin(R~2 of the simulated results above 0.50, NSE above 0.33, and |PBIAS| below 14.8. Although the quality of the CFSR weather data is not perfect, it achieved a satisfactory hydrological simulation after rainfall data correction.(2) The simulated streamflow using the CFSR data was higher than the observed streamflow, which was likely because the estimation of daily rainfall data by CFSR weather data resulted in more rainy days and stronger rainfall intensity than was actually observed. Therefore, the data simulated a higher base flow and flood peak discharge in terms of the water balance, except for some individual years.(3) The relation between the CFSR rainfall data(x) and the observed rainfall data(y) could berepresented by a power exponent equation: y=1.4789x0.8875(R2=0.98,P<0.001). There was a slight variation between the fitted equations for each station. The equation provides a theoretical basis for the correction of CFSR rainfall data.