SCIENTIA GEOGRAPHICA SINICA ›› 2017, Vol. 37 ›› Issue (3): 455-463.doi: 10.13249/j.cnki.sgs.2017.03.016

• Orginal Article • Previous Articles     Next Articles

Spatiotemporal Variation Characteristics of Baseflow in the Bahe River Basin Based on Digital Filter Method and SWAT Model

Sheng Hu1,2(), Dongdong Yang1,2, Jiang Wu1,2, Yu Gao3, Haijun Qiu1,2(), Mingming Cao1, Jinxi Song1,2, Honglin Wan3   

  1. 1. College of Urban and Environmental Science,Northwest University, Xi’an 710127, Shaanxi, China
    2. Institute of Earth Surface System and Hazards, Northwest University, Xi’an 710127, Shaanxi, China
    3. Shaanxi Provincial Land Engineering Construction Group, Xi’an 710175, Shaanxi, China
    4. Department of Water Conservancy, Hebei University of Water Resources and Electric Engineering, Cangzhou 061001, Hebei, China
  • Received:2016-04-15 Revised:2016-06-20 Online:2017-03-20 Published:2017-03-20
  • Supported by:
    International Partnership Program of Chinese Academy of Sciences (131551KYSB20160002), National Natural Science Foundation of China(41401602), Natural Science Basic Research Plan in Shaanxi Province of China(2014JQ2-4021), Key Scientific and Technological Innovation Team Plan of Shaanxi Province(2014KCT-27), Graduate Student Innovation Project of Northwest University(YZZ15011)

Abstract:

Baseflow plays an important role in maintaining the health and the ecological functions of rivers. Baseflow separation is also a hot topic of hydrology all the time. The article combines the Digital Filter Method and SWAT which is a distributed hydrological model and widely used at home and abroad. It creatively realizes the visual representation of the spatial features of baseflow on the basis of analyzing the time characteristics of baseflow and by correcting baseflow alpha factor, evaluating the model efficiency, rerunning the SWAT model, GIS spatial interpolation and trend analysis etc. The results show that: 1) The annual average Baseflow Index (BFI) of the Bahe River Basin from 2001 to 2012 is 0.43, presenting an increasing trend on the whole. The annual precipitation has a positive correlation with annual runoff and annual baseflow; but it obviously shows a negative relation between annual precipitation and annual Baseflow Index (BFI); 2) The change of baseflow is relatively stable within a year, and the base flow in different seasons tends to be: Autumn> Spring> Summer>Winter, while flood season is bigger than that of the non-flood season. BFI is as high as 0.78 in dry seasons, which shows that baseflow is the main replenishment source of river in dry seasons; 3) The baseflow of the Bahe River Basin tends to be an increasing tendency from Southeast to Northwest and from upstream to downstream in spatial terms. Also, such a spatial variation law is determined by the terrain of the basin and the direction of the river.

Key words: Digital Filter Method, SWAT Model, SWAT Bflow, spatiotemporal variation characteristics, baseflow, the Bahe River Basin

CLC Number: 

  • K903