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Development of Web-Based RECESS Model for Estimating Baseflow Using SWAT

Author

Listed:
  • Gwanjae Lee

    (Department of Regional Infrastructure Engineering, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon, Kangwon-do 200-701, Korea
    These authors contributed equally to this work.)

  • Yongchul Shin

    (Department of Biological and Agricultural Engineering, Texas A & M University, College Station, TX 77843-2117, USA
    These authors contributed equally to this work.)

  • Younghun Jung

    (Department of Regional Infrastructure Engineering, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon, Kangwon-do 200-701, Korea
    These authors contributed equally to this work.)

Abstract

Groundwater has received increasing attention as an important strategic water resource for adaptation to climate change. In this regard, the separation of baseflow from streamflow and the analysis of recession curves make a significant contribution to integrated river basin management. The United States Geological Survey (USGS) RECESS model adopting the master-recession curve (MRC) method can enhance the accuracy with which baseflow may be separated from streamflow, compared to other baseflow-separation schemes that are more limited in their ability to reflect various watershed/aquifer characteristics. The RECESS model has been widely used for the analysis of hydrographs, but the applications using RECESS were only available through Microsoft-Disk Operating System (MS-DOS). Thus, this study aims to develop a web-based RECESS model for easy separation of baseflow from streamflow, with easy applications for ungauged regions. RECESS on the web derived the alpha factor, which is a baseflow recession constant in the Soil Water Assessment Tool (SWAT), and this variable was provided to SWAT as the input. The results showed that the alpha factor estimated from the web-based RECESS model improved the predictions of streamflow and recession. Furthermore, these findings showed that the baseflow characteristics of the ungauged watersheds were influenced by the land use and slope angle of watersheds, as well as by precipitation and streamflow.

Suggested Citation

  • Gwanjae Lee & Yongchul Shin & Younghun Jung, 2014. "Development of Web-Based RECESS Model for Estimating Baseflow Using SWAT," Sustainability, MDPI, vol. 6(4), pages 1-22, April.
    • Handle: RePEc:gam:jsusta:v:6:y:2014:i:4:p:2357-2378:d:35437
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    References listed on IDEAS

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    1. Thomas F. Stocker & Christoph C. Raible, 2005. "Water cycle shifts gear," Nature, Nature, vol. 434(7035), pages 830-833, April.
    2. Shilong Piao & Philippe Ciais & Yao Huang & Zehao Shen & Shushi Peng & Junsheng Li & Liping Zhou & Hongyan Liu & Yuecun Ma & Yihui Ding & Pierre Friedlingstein & Chunzhen Liu & Kun Tan & Yongqiang Yu , 2010. "The impacts of climate change on water resources and agriculture in China," Nature, Nature, vol. 467(7311), pages 43-51, September.
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    Cited by:

    1. Tiezhu Yan & Jianwen Bai & Amelia LEE ZHI YI & Zhenyao Shen, 2018. "SWAT-Simulated Streamflow Responses to Climate Variability and Human Activities in the Miyun Reservoir Basin by Considering Streamflow Components," Sustainability, MDPI, vol. 10(4), pages 1-21, March.
    2. Ying Zhang & Ling Zhang & Jinliang Hou & Juan Gu & Chunlin Huang, 2017. "Development of an Evapotranspiration Data Assimilation Technique for Streamflow Estimates: A Case Study in a Semi-Arid Region," Sustainability, MDPI, vol. 9(10), pages 1-21, September.
    3. Wonjin Kim & Seongjoon Kim & Jinuk Kim & Jiwan Lee & Soyoung Woo & Sehoon Kim, 2022. "Assessment of Long-term Groundwater Use Increase and Forest Growth Impact on Watershed Hydrology," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 5801-5821, December.

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