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Improved calibration scheme of SWAT by separating wet and dry seasons

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  • Zhang, Dejian
  • Chen, Xingwei
  • Yao, Huaxia
  • Lin, Bingqing

Abstract

Simulation of low flow process is critical to water quality, water supply, and aquatic habitat. However, the poor performance of Soil and Water Assessment Tool (SWAT) in dry seasons has impeded its application to watersheds characterized largely by low-flows. Aiming at overcoming this shortage, a seasonal calibration scheme was proposed, in which SWAT was calibrated separately for the dry and wet periods and the “optimal” simulation results of these two periods were combined into a complete runoff series. An extended SWAT model incorporating with the proposed seasonal calibration scheme, named SWAT-SC was constructed and compared with the original SWAT to simulate daily runoff in the Jinjiang watershed dominated by a typical subtropical monsoon climate in southeastern China. The study reveals that when Nash-Sutcliffe efficiency (ENS) of the original SWAT model indicated a satisfied model performance in a wet season or a whole year, it may not guaranty acceptable performance for the dry period. A significant improvement was achieved by using SWAT-SC for simulating runoffs in the dry period, and although not as notably as the dry period, improvements for runoff simulation of the wet and overall periods were observed as well.

Suggested Citation

  • Zhang, Dejian & Chen, Xingwei & Yao, Huaxia & Lin, Bingqing, 2015. "Improved calibration scheme of SWAT by separating wet and dry seasons," Ecological Modelling, Elsevier, vol. 301(C), pages 54-61.
  • Handle: RePEc:eee:ecomod:v:301:y:2015:i:c:p:54-61
    DOI: 10.1016/j.ecolmodel.2015.01.018
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    References listed on IDEAS

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    1. Panagopoulos, Y. & Makropoulos, C. & Baltas, E. & Mimikou, M., 2011. "SWAT parameterization for the identification of critical diffuse pollution source areas under data limitations," Ecological Modelling, Elsevier, vol. 222(19), pages 3500-3512.
    2. Ullrich, Antje & Volk, Martin, 2009. "Application of the Soil and Water Assessment Tool (SWAT) to predict the impact of alternative management practices on water quality and quantity," Agricultural Water Management, Elsevier, vol. 96(8), pages 1207-1217, August.
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    2. Bisrat Ayalew Yifru & Il-Moon Chung & Min-Gyu Kim & Sun Woo Chang, 2020. "Assessment of Groundwater Recharge in Agro-Urban Watersheds Using Integrated SWAT-MODFLOW Model," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    3. Rumph Frederiksen, Rasmus & Molina-Navarro, Eugenio, 2021. "The importance of subsurface drainage on model performance and water balance in an agricultural catchment using SWAT and SWAT-MODFLOW," Agricultural Water Management, Elsevier, vol. 255(C).
    4. Lijun Jiao & Ruimin Liu & Linfang Wang & Lin Li & Leiping Cao, 2021. "Evaluating Spatiotemporal Variations in the Impact of Inter-basin Water Transfer Projects in Water-receiving Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(15), pages 5409-5429, December.
    5. Kotapati Narayana Loukika & Venkata Reddy Keesara & Eswar Sai Buri & Venkataramana Sridhar, 2022. "Predicting the Effects of Land Use Land Cover and Climate Change on Munneru River Basin Using CA-Markov and Soil and Water Assessment Tool," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
    6. Molina-Navarro, Eugenio & Hallack-Alegría, Michelle & Martínez-Pérez, Silvia & Ramírez-Hernández, Jorge & Mungaray-Moctezuma, Alejandro & Sastre-Merlín, Antonio, 2016. "Hydrological modeling and climate change impacts in an agricultural semiarid region. Case study: Guadalupe River basin, Mexico," Agricultural Water Management, Elsevier, vol. 175(C), pages 29-42.
    7. Dan Li & Bingjun Liu & Changqing Ye, 2022. "Meteorological and hydrological drought risks under changing environment on the Wanquan River Basin, Southern China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 2941-2967, December.

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