Assessment of Baseflow Estimates Considering Recession Characteristics in SWAT

• Main Authors: Jimin Lee, Jonggun Kim, Won Seok Jang, Kyoung Jae Lim, Bernie A. Engel
• Format: Article
• Language: English
• Published: MDPI AG 2018-03-01
• Series: Water
• Subjects: alpha factor; baseflow; Bflow; streamflow recession; SWAT
• Online Access: http://www.mdpi.com/2073-4441/10/4/371

Baseflow is influenced by incoming groundwater to aquifers and is closely related to watershed characteristics. Understanding baseflow characteristics is of great importance to river ecosystems and water management. Baseflow estimation typically depends on the observed streamflow in gauged watersheds, but accurate predictions of streamflow through modeling can also be useful in estimating baseflow. However, uncertainty occurs in the baseflow estimation process when modeling streamflow. Therefore, the purpose of this study is to compare the method that is proposed by Arnold and Allen (Scenario I) to an improved recession prediction method where the alpha factor (baseflow recession coefficient) is recalibrated and is applied to SWAT (Scenario II). Although the differences between the results (NSE, R2, RMSE, MAE, d) of Scenarios I and II were small regarding streamflow and recession, the Scenario II method more accurately reflected the recession characteristics than the Scenario I method. Furthermore, the Scenario II method was better in baseflow prediction than for the Scenario I method proposed by Arnold and Allen. Therefore, these outputs pave the way and contribute to an efficient method for water management in watersheds.