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Modelling hydrology and water quality processes in the Pengxi River basin of the Three Gorges Reservoir using the soil and water assessment tool

Author

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  • Shi, Yingyuan
  • Xu, Gaohong
  • Wang, Yonggui
  • Engel, Bernard A.
  • Peng, Hong
  • Zhang, Wanshun
  • Cheng, Meiling
  • Dai, Minglong

Abstract

The Pengxi River is one of the main tributaries on the north shore of the Three Gorges Reservoir (TGR) and currently faces water quality deterioration and algal bloom problems. The Soil and Water Assessment Tool (SWAT) with a TGR specific database was utilized to evaluate the hydrology and water quality processes of the Pengxi River Basin. The flow and its nutrient content were assessed by the model, and the largest pollutant load generation areas of this basin were identified. The Generalized Likelihood Uncertainty Estimation (GLUE) method was used to conduct sensitivity analysis, model calibration and validation. Results of sensitivity analysis showed that CN2 (initial SCS runoff curve number for moisture condition II) was most sensitive for runoff, while RCN (concentration of nitrogen in rainfall) and FILTERW (width of edge of field filter strip) were most sensitive for nitrogen and phosphorus loadings respectively. Determination of the most sensitive parameters on the rate of change of SWAT outputs was identified. The coefficient of determination (R2) in the validation ranged from 0.66–0.85 for daily stream flow and 0.70–0.86 for nutrient yield. Average annual water yield for the entire basin was found to be 3.93 billion m3 from 2010 to 2013, while average annual total nitrogen yield was 9406t, and average annual total phosphorus yield was 984t. The simulation results indicate that runoff appeared to vary significantly throughout the year and from year to year, and was correlated with precipitation. Higher pollutant load generation areas were mainly concentrated in the central and southern part of the Pengxi River basin. This study is expected to have major implications for identifying non-point source (NPS) and water quality management policies and approaches.

Suggested Citation

  • Shi, Yingyuan & Xu, Gaohong & Wang, Yonggui & Engel, Bernard A. & Peng, Hong & Zhang, Wanshun & Cheng, Meiling & Dai, Minglong, 2017. "Modelling hydrology and water quality processes in the Pengxi River basin of the Three Gorges Reservoir using the soil and water assessment tool," Agricultural Water Management, Elsevier, vol. 182(C), pages 24-38.
    • Handle: RePEc:eee:agiwat:v:182:y:2017:i:c:p:24-38
    DOI: 10.1016/j.agwat.2016.12.007
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    1. Jiwan Lee & Yonggwan Lee & Soyoung Woo & Wonjin Kim & Seongjoon Kim, 2020. "Evaluation of Water Quality Interaction by Dam and Weir Operation Using SWAT in the Nakdong River Basin of South Korea," Sustainability, MDPI, vol. 12(17), pages 1-19, August.
    2. Xiao Zhang & Xiaomin Chen & Wanshun Zhang & Hong Peng & Gaohong Xu & Yanxin Zhao & Zhenling Shen, 2022. "Impact of Land Use Changes on the Surface Runoff and Nutrient Load in the Three Gorges Reservoir Area, China," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    3. Xiaowen Ding & Ping Fang, 2019. "Accident Trend Prediction of Heavy Metal Pollution in the Heshangshan Drinking Water Source Area Based on Integrating a Two-Dimensional Water Quality Model and GIS," Sustainability, MDPI, vol. 11(15), pages 1-20, July.
    4. Jingjing Xia & Gaohong Xu & Ping Guo & Hong Peng & Xu Zhang & Yonggui Wang & Wanshun Zhang, 2018. "Tempo-Spatial Analysis of Water Quality in the Three Gorges Reservoir, China, after its 175-m Experimental Impoundment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(9), pages 2937-2954, July.
    5. Reza Jamshidi & Deirdre Dragovich, 2022. "Water Balance Uncertainty of a Hydrologic Model to Lengthy Drought and Storm Events in Managed Forest Catchments, Eastern Australia," Land, MDPI, vol. 12(1), pages 1-20, December.

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