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Hydrological Simulation by SWAT Model with Fixed and Varied Parameterization Approaches Under Land Use Change

Author

Listed:
  • Jinkang Du
  • Hanyi Rui
  • Tianhui Zuo
  • Qian Li
  • Dapeng Zheng
  • Ailing Chen
  • Youpeng Xu
  • C.-Y. Xu

Abstract

Land use and land cover (LULC) change within a watershed is recognized as an important factor affecting hydrological processes and water resources. Modeling the hydrological effects of land-use change is important not only for after-the-fact analyses, but also for understanding and predicting the potential hydrological consequences of existing land-use practices. The main aim of the study is to understand and quantify the hydrological processes in a rapid urbanization region. The SWAT model and the Qinhuai River basin, one of the most rapidly urbanizing regions in China were selected to perform the study. In the study, a varied parameterization strategy was developed by establishing regression equations with selected SWAT parameters as dependent variables and catchment impermeable area as independent variable. The performance of the newly developed varied parameterization approach was compared with the conventional fixed parameterization approach in simulating the hydrological processes under LULC changes. The results showed that the model simulation with varied parameterization approach has a large improvement over the conventional fixed parameterization approach in terms of both long-term water balance and flood events simulations. The proposed modeling approach could provide an essential reference for the study of assessing the impact of LULC changes on hydrology in other regions. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Jinkang Du & Hanyi Rui & Tianhui Zuo & Qian Li & Dapeng Zheng & Ailing Chen & Youpeng Xu & C.-Y. Xu, 2013. "Hydrological Simulation by SWAT Model with Fixed and Varied Parameterization Approaches Under Land Use Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 2823-2838, June.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:8:p:2823-2838
    DOI: 10.1007/s11269-013-0317-0
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    References listed on IDEAS

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    1. Pushpa Tuppad & Narayanan Kannan & Raghavan Srinivasan & Colleen Rossi & Jeffrey Arnold, 2010. "Simulation of Agricultural Management Alternatives for Watershed Protection," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(12), pages 3115-3144, September.
    2. Prakash Kaini & Kim Artita & John Nicklow, 2012. "Optimizing Structural Best Management Practices Using SWAT and Genetic Algorithm to Improve Water Quality Goals," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 1827-1845, May.
    3. Wenzhi Cao & William Bowden & Tim Davie & Andrew Fenemor, 2009. "Modelling Impacts of Land Cover Change on Critical Water Resources in the Motueka River Catchment, New Zealand," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(1), pages 137-151, January.
    4. Aijing Zhang & Chi Zhang & Guobin Fu & Bende Wang & Zhenxin Bao & Hongxing Zheng, 2012. "Assessments of Impacts of Climate Change and Human Activities on Runoff with SWAT for the Huifa River Basin, Northeast China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2199-2217, June.
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    2. Vesna Đukić & Zoran Radić, 2016. "Sensitivity Analysis of a Physically Based Distributed Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(5), pages 1669-1684, March.
    3. Chengcheng Huang & Guoqiang Wang & Xiaogu Zheng & Jingshan Yu & Xinyi Xu, 2015. "Simple Linear Modeling Approach for Linking Hydrological Model Parameters to the Physical Features of a River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3265-3289, July.
    4. Runjie Li & Jinkang Du & Guodong Bian & Yuefeng Wang & Changchun Chen & Xueliang Zhang & Maohua Li & Shanshan Wang & Senyao Wu & Shunping Xie & Long Yang & Chong-Yu Xu, 2020. "An Integrated Modelling Approach for Flood Simulation in the Urbanized Qinhuai River Basin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(13), pages 3967-3984, October.
    5. Haas, Marcelo B. & Guse, Björn & Pfannerstill, Matthias & Fohrer, Nicola, 2015. "Detection of dominant nitrate processes in ecohydrological modeling with temporal parameter sensitivity analysis," Ecological Modelling, Elsevier, vol. 314(C), pages 62-72.
    6. Xiangang Luo & Jianqing Li & Shuang Zhu & Zhanya Xu & Zhibin Huo, 2020. "Estimating the Impacts of Urbanization in the Next 100 years on Spatial Hydrological Response," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(5), pages 1673-1692, March.
    7. Vesna Đukić & Zoran Radić, 2016. "Sensitivity Analysis of a Physically Based Distributed Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(5), pages 1669-1684, March.
    8. Li-Chi Chiang & Yi-Ting Chuang & Chin-Chuan Han, 2019. "Integrating Landscape Metrics and Hydrologic Modeling to Assess the Impact of Natural Disturbances on Ecohydrological Processes in the Chenyulan Watershed, Taiwan," IJERPH, MDPI, vol. 16(2), pages 1-21, January.

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