Segmentation and characteristic analysis of baseflow in Pangu River basin in Daxing'anling Montains
Baseflow plays an essential role in the hydrological process,and the proportion of baseflow varies in different basins.Choosing a scientific and reasonable river baseflow segmentation method to obtain accurate baseflow is crucial for ensuring the ecological water balance in the watershed.Based on the daily runoff data from 1988-2015 at Pangu Station in the Pangu River Basin,a river baseflow segmentation study was carried out using seven methods in three categories,namely baseflow index method,time step method and digital filtering method,and combined with the basin recession constants.Utilizing Nash-Sutcliffe efficiency coefficient and using Mean Relative Error(MRE)to evaluate the accuracy of calculation results for different base flow segmentation methods.The results indicate that:all seven methods are able to achieve the segmentation of baseflow process,but there are certain differences in the segmentation results of various methods;the baseflow segmentation process line obtained by the digital filtering method F2 is the most stable,with the highest Nash-Sutcliffe efficiency coefficient(0.851)and the smallest average relative error(7.992%),which is a more suitable method for segmentation of baseflow in the Pangu River Basin;the baseflow index during the year generally shows a trend of decreasing and then increasing,decreasing continuously during the snowmelt period,showing an increasing trend during the growing season,and decreasing and then increasing after heavy rainfall.
baseflow segmentationbaseflow index methodHYSEP methoddigital filtering methodregression constant
NETL
NSTL
万方数据
